ACCM-4 Conference Handbook · YuanTong Gu Queensland University of Technology . ... Airport...

HANDBOOK of the

4TH AUSTRALASIAN CONFERENCE ON COMPUTATIONAL MECHANICS

University of Tasmania

Hobart, Australia

27‐29 Nov 2019, Hobart, Australia: www.utas.edu.au/accm‐2019

Handbook of the 4th Australasian Conference on Computational Mechanics School of Engineering, University of Tasmania 27 – 29 November 2019

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A Joint initiative of the Australian Association for Computational Mechanics and

School of Engineering in University of Tasmania

4th Australasian Conference on Computational Mechanics

ACCM2019

University of Tasmania, Hobart, Australia 27-29 November 2019 CONFERENCE CHAIRS:

Prof. Andrew Chan Chair University of Tasmania

Dr Hongyuan Liu Co-chair University of Tasmania

Dr Ali Tolooiyan Co-chair University of Tasmania

PUBLISHED BY: School of Engineering, University of Tasmania

Private Bag 65, Hobart, TAS7001, Australia Handbook of the 4th Australasian Conference on Computational Mechanics. Eds. Chan, A.; Liu, H.Y.; Tolooiyan, A. (2019)


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School of Engineering at University of Tasmania is proud to sponsor the 4th Australasian Conference on Computational Mechanics

LOCAL ORGANISING COMMITTEE: Prof. Andrew Chan (Chair) [email protected] Dr Hongyuan Liu (Co-chair) [email protected] Dr Ali Tolooiyan (Co-chair) [email protected] Dr Gholamreza Kefayati [email protected] Dr Asaad Taoum [email protected] A/Prof. Damien Holloway [email protected] Mojtaba Mohammadnejad [email protected]

UTAS Domain Building


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SCIENTIFIC COMMITTEE MEMBERS: Name Affiliations Abdul Sheikh University of Adelaide Adrian Russell University of New South Wales Ali Tolooiyan University of Tasmania Andrew Chan University of Tasmania Arman Khoshghalb University of New South Wales Baolin Wang Western Sydney University Chongmin Song University of New South Wales Daichao Sheng University of Technology Sydney Damien Holloway University of Tasmania Di Wu University of Technology Sydney Dong (Tracy) Ruan Swinburne University Fang-Bao Tian Australian Defence Force Academy Gholamreza Kefayati University of Tasmania Giang D. Nguyen University of Adelaide Ha Bui Monash University Hong Guan Griffith University Hongyuan Liu University of Tasmania Itai Einav University of Sydney Itsu Sen Macquarie University Klaus Thoeni University of Newcastle Lihai Zhang University of Melbourne Liyong Tong University of Sydney Luming Shen University of Sydney Mike Xie Royal Melbourne Institute of Technology Nam Mai-Duy University of Southern Queensland Nasser Khalili University of New South Wales Qing Li University of Sydney Qing Quan (Stephen) Liang Victoria University Qinghua Qin Australian National University Raj Das Royal Melbourne Institute of Technology Richard Yang Western Sydney University Sarah Zhang Western Sydney University Shiwei Zhou Royal Melbourne Institute of Technology Tracie Barber University of New South Wales Wei Gao University of New South Wales Weihua Li University of Wollongong Wing Kong Chiu Monash University Yang Xiang Western Sydney University Yingyan Zhang Western Sydney University YuanTong Gu Queensland University of Technology


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WELCOME FROM CONFERENCE CHAIRS AND CO-CHAIRS Dear ACCM Members, Friends and Colleagues, On behalf of the organising committee and as the conference chair and co-chairs, we would like to welcome you to the 4th Australasian Conference on Computational Mechanics (ACCM-4) held in Hobart, Australia from 28-29 November 2019 (with pre-conference workshop on 27 Nov). The Australasian Association for Computational Mechanics (AACM) facilitates the organisation of this premier biennial conference. The conference aims to provide an international forum for researchers, industry practitioners, engineers and postgraduate scholars to promote, exchange and disseminate recent findings on contemporary and wide-ranging topics in Computational Mechanics. Computational Mechanics is a fundamental subject of engineering science. It underpins all of the primary engineering disciplines, including Civil, Mechanical, and Materials Engineering. Computational Mechanics addresses a broad range of areas, from conventional structural and mechanical designs, failure analysis, fracture and fragmentation in geomechanics, dynamic and vibration analysis, and fluid mechanics to cutting-edge computational mechanics, nano-micro mechanics, multiscale mechanics, coupled multiphysics problems and novel materials. This is truly reflected in the variety of fields featured in the conference topics. One key aim of ACCM is to retain and engage high quality graduate students in Computational Mechanics research. ACCM aims to nurture the talent of young researchers through its best paper awards. The ACCM series started in 2013 with the ACCM-1, ACCM-2 and ACCM-3 held in Sydney, Brisbane and Geelong, respectively. The ACCM conference has become a flagship activity of AACM and will be regularly organised. ACCM-4 will accommodate presentations on a wide range of topics to facilitate inter-disciplinary exchange of ideas in science, engineering and allied disciplines, and helps to foster collaborations. The ACCM conference is unique in that it showcases the current trends and research developments in Computational Mechanics in the Australasian region and its relationship to national and regional priorities. The extended abstracts to be presented at ACCM-4 will address many grand challenges in modern engineering and will be peer-reviewed by expert reviewers including members of the National Scientific and Local Organising Committees for ACCM-4. The topics of these extended abstracts will range from nano- to macro-mechanics of materials, geomechanics, structures, dynamics, sustainable manufacturing, biomechanics and computational mechanics. The authors of the selected extended abstracts will be invited to submit full papers to a special issue of the journal of Applied Mathematical Modelling. University of Tasmania is the fourth oldest university in Australia and Engineering has been taught for over 100 years in the university. There are major computational research activities across the areas of geomechanics, structures, fluids, chemistry, earth science, oceanography, maritime and Antarctic sciences. The University is the host of the Tasmanian Partnership for Advanced Computing (TPAC) facility, which supports applications using more than 7,000 CPU cores, exposing researchers to the scaling problems of large CPU count jobs and providing them essential experience before migrating to larger facilities such as National Computational Infrastructure (NCI). Finally, we invite you to participate in the ACCM-4 conference, and hope you will have a wonderful and richly rewarding conference experience in Hobart, Australia. We look forward to your participation at this and continued engagement at future ACCM conferences. Prof. Andrew Chan, Dr Hongyuan Liu and Dr Ali Tolooiyan On behalf of the ACCM2019 Organising Committee


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ACKNOWLEDGEMENT OF STATE We would like to acknowledge the Riawunna people, the traditional owners of the land on which we are gathered today. We pay our respects to the local people for allowing us to have our gathering on their land and to their Elders; past, present and future. AUSTALIAN ASSOCIATION FOR COMPUTATIONAL MECHANICS The Australian Association for Computational Mechanics facilitates the organisation of this premier biennial conference. The conference aims to provide an international forum for researchers, industry practitioners, engineers and postgraduate scholars to promote, exchange and disseminate recent finds on contemporary and wide-ranging topics in Computational Mechanics. The ACCM conference is unique in that it showcases the current trends and research developments in Computational Mechanics in the Australasian region and its relationship to national and regional priorities. The papers to be presented at ACCM-4 will address many grand challenges in modern engineering. The extended abstracts submitted to ACCM-4 have been peer-reviewed by members of the Local Organising Committee of ACCM-4 and selected authors will be invited to submit their full papers to a special issue of the journal of Applied Mathematical Modelling, which will be peer-reviewed by international experts. The topics of the submissions ranges from nano- to macro-mechanics of materials, dynamics, sustainable manufacturing, biomechanics, geomechanics and computational mechanics. University of Tasmania is proud to host the Fourth Australasian Conference on Computational Mechanics. The conference will be held at our Sandy Bay Campus within the state-of-the-art Harvard Lecture Theatre, Centenary Lecture Theatre and Engineering Design Centre in the Centenary and Engineering Buildings.

UNIVERSITY OF TASMANIA University of Tasmania is a public research university with three main campuses based in Hobart, Launceston and Burnie in Tasmania and a number of specialist nursing and maritime facilities in Sydney. Founded in 1890, it is Australia’s fourth oldest university. The university was ranked in the top 10 research universities in Australia and in the top two percent of universities worldwide in the Academic Ranking of World Universities. The university offers various undergraduate and postgraduate programs in a range of disciplines within five colleges including College of Arts, Law and Education, College of Heath and Medicine, University College, Tasmanian School of Business and Economics, and College of Sciences and Engineering and three specialist institutes including Australian Maritime College (AMC), Institute for Marine & Antarctic Studies (IMAS) and Menzies Institute of Medical Research. Research at the university takes place across more than fifty institutions, centres and groups including 7 ARC Industrial Transformation Research Hubs and Training Centres, ARC Centre of Excellence in Ore Deposits, Australian Centre for Research on Separation Science, Centre for Renewable Energy and Power Systems, Sense-T Centre, Centre for Sustainable Architecture with Wood, Australian Maritime Hydrodynamics Research Centre, Antarctic Climate & Ecosystems Cooperative Research Centre, and Blue Economy Cooperative Research Centre, which is the largest ever research project attracting grants of $329 million and bringing together expertise in seafood, renewable energy and offshore engineering to transform Australia’s blue economy.


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UTAS IMAS Building

UTAS Menzies Research Building


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CONFERENCE VENUE The pre-conference workshop will be held in the Engineering Design Centre within the Engineering Building and the conference presentations will be hosted in the Centenary Lecture Theatre and Harvard Lecture Theatres 1 and 2 within the Centenary Building in the Sandy Bay Campus of University of Tasmania.

Centenary Lecture Theatre Harvard Lecture Theatre Engineering Design Centre

Map of Sandy Bay Campus

Engineering Design Centre 302

Centenary Lecture Theatre

Harvard Lecture Theatres 1 & 2

Engineering Building

Centenary Building


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GETTING THERE Sandy Bay Campus is 3 km away from Hobart CBD and 20 km away from Hobart International Airport.

Air: All visitors can take flights to Hobart’s International Airport and drive, take a shuttle bus or taxi to the Sandy Bay Campus. The travellers from Sydney, Melbourne and Brisbane can also fly to Launceston Airport and then drive or take a shuttle bus to Hobart. Driving: The Sandy Bay Campus is located approximately 20 minute’s drive from Hobart International Airport. All the major rental car companies have information desks on-site at the airport. Launceston airport is approximately 200 kilometers from Hobart. Some of the major rental car companies information desks on-site at the airport. The following Google Map shows the route from Launceston Airport to the Sandy Bay Campus Airport Shuttle: From Hobart International Airport you can use SkyBus to travel direct to the hotels around the Sandy Bay Campus. Contact, booking, price, and timetable information can be found on their website. From Launceston Airport you can use the Launceston Airport Shuttle to travel direct to Hobart. Contact, booking and price information can be found on their website. Please contact this company directly for information on pick-up and drop-off options in Hobart. Taxis: The Hobart taxi website (http://www.131008hobart.com.au/) has information on estimating taxi fares, booking online, etc. The contact number for booking a taxi in Hobart is 131 008. Visa applications: International delegates please note a Visa may be required to enter Australia. Please note you will need to register for the conference and pay your fees before applying for a visa. It is recommended that Visa applications are submitted no later than 6 weeks prior to your date of intended travel.


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ACCOMMODATION Being a major tourist destination, there are a wide variety of hotels and motels at various price ranges. Refer to Discover Tasmania | Where to Stay | Hotels and Motels. As November is in late Spring and that is before the school Summer holidays, there should not be major problems concerning availability. However, as the University of Tasmania semester 2 examination finishes on 12th November, student Accommodation will be available. Refer to University of Tasmania | Student Living | Short Stay. Wrest Point

The Old Woolstore Hotel Grand Chancellor


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PREVIOUS AUSTRALASIAN CONFERENCES ON COMPUTATAIONAL MECHANICS 1st Australasian Conference on Computational Mechanics, University of Sydney, Sydney, Australia,

October 2013. 2nd Australasian Conference on Computational Mechanics, Queensland University of Technology,

Brisbane, Australia, November 2015. 3rd Australasian Conference on Computational Mechanics, Deakin University, Geelong, Australia,

February 2018 4th Australasian Conference on Computational Mechanics, University of Tasmania, Hobart,

Australia, November 2019


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Conference Programme

Wednesday 27 November: Pre‐conference Workshop on Computational Hardrock Mechanics 09:00 Workshop registration opens (Engineering Design Centre 302 in Engineering Building) Morning tea and coffee 10:00 Welcome by Head of School of Engineering, University of Tasmania 10:10 Session I: Realistic Failure Process Analysis (RFPA) 11:30 Morning tea and coffee 12:00 Session II: GPGPU-parallelized FDEM for Modelling Rock Fracture and Fragmentation 13:00 Lunch 14:00 Session I (Continued): Hands-on modelling of material failure using RFPA 15:00 Afternoon tea and coffee 15:15 Session II (Continued): Hands-on modelling using GPGPU-parallelized FDEM 16:00 Workshop concludes 17:00 Conference registration opens (Foyer of Harvard Lecture Theatres in Centenary Building) 19:00 Conference registration closes Thursday 28 November: Conference Presentations 8:00 Conference registration opens (Foyer of Harvard Lecture Theatres in Centenary Building) 9:00 Conference open and welcome (Centenary Lecture Theatre in Centenary Building) Welcome to country

Opening announcements by Pro-Vice-Chancellor (Research)

9:20 Keynote 1 (Centenary Lecture Theatre)

10:20 Morning tea and coffee 11:00 Concurrent sessions 1A, 1B, 1C and 1D

Presentation of papers, 20 minutes each Best student paper prizes judging

12:00 Lunch 1 hour 13:00 Keynote 2 (Centenary Lecture Theatre) 14:00 Concurrent sessions 2A, 2B, 2C and 2D


15:20 Afternoon tea and coffee 15:40 Concurrent sessions 3A, 3B, 3C and 3D


18:30 Conference drink 19:00 Conference dinner at Staff Club (address by the chairman of AACM)


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Conference Programme continued

Friday 29 November: Conference Presentations 9:00 Keynote 3 (Centenary Lecture Theatre)

10:05 Morning tea and coffee 10:40 Concurrent sessions 4A, 4B and 4C


12:00 Lunch 1 hour 13:00 Concurrent sessions 5A, 5B and 5C


14:20 Concurrent sessions conclude Afternoon tea and coffee 14:55 Introduction to ACCM2021 (ACCM‐5)

15:10 Best student paper prizes awarding ceremony

Saturday 30 November: Suggested Self‐organised Field Trips Salamanca Market: https://www.salamancamarket.com.au/Home Mt Wellington https://www.wellingtonpark.org.au/ Museum of Old and New Art (MONA): https://mona.net.au/ Port Arthur: World Heritage site: https://portarthur.org.au/


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Salamanca Market

Mt Wellington


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Museum of Old and New Art

Port Arthur


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KEYNOTE SPEACHES

Computational Slope Stability Analysis

D.V. Griffiths, Professor of Civil Engineering, Colorado School of Mines, Colorado, USA Vaughan Griffiths is a Professor of Civil Engineering at the Colorado School of Mines and was previously at the University of Manchester UK. His interests lie in application of finite element and risk assessment methodologies in civil engineering. His papers on slope stability are among the most highly cited in the geotechnical engineering research literature. He is the co-author of three textbooks that have gone into multiple editions including the Chinese language on “Programming the Finite Element Method” by Smith and Griffiths, “Risk Assessment in Geotechnical Engineering” by Fenton and Griffiths and “Numerical Methods for Engineers” by Griffiths and Smith. He gives regular short-courses on Risk Assessment in Geotechnical Engineering for practitioners (often with Gordon Fenton), with recent offerings in China, New Zealand, Australia, Colombia, Norway, Canada, Taiwan and the USA. Professor Griffiths is an editor of Computers and Geotechnics and was on the Advisory Panel of Géotechnique from 2012-2018. In 2017, he was named the Cross-Canada Lecturer by the Canadian Geotechnical Society and received the H. Bolton Seed Medal from the ASCE/Geo-Institute. He served as an ASCE Director from 2010-2013. Abstract: Slope stability analysis remains a central activity for geotechnical practitioners and a continued area of interest and research for academics. A wide range of methodologies for slope stability analysis have been developed, ranging from Taylor’s charts from the 1930’s to state-of-art random finite element methods for probabilistic analysis. The lecture describes two simple slope stability analyses that can lead to unconservative (unsafe) solutions. Firstly, a classical problem solved by Taylor is revisited using (i) simple optimization, (ii) elastic-plastic finite elements with strength reduction and (iii) upper- and lower-bound finite element limit analysis. The results show the benefits of the finite element approaches, especially as the slope becomes relatively flat where the simple approach starts to overestimate the factor of safety. Secondly, a probabilistic slope stability analysis is performed using (i) a simple analytical approach and (ii) the random finite element method (RFEM). For the case considered, the analytical approach is shown to underestimate the probability of failure, by failing to account for spatial variability in the form of a correlation length.


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Simulating Fluid Flow in Complex Geometries on Structured Meshes

Michael Kirkpatrick, Associate Professor, University of Sydney Associate Professor Michael Kirkpatrick graduated with a degree in Mechanical Engineering from the University of Sydney in 1996. He then worked with the international building engineering consultancy Ove Arup & Partners in Sydney and their London office. Michael returned to Australia in 1998 to study for a PhD at the University of Sydney. On completion of his PhD in 2002, he was awarded a two-year Postdoctoral Fellowship with the Center for Turbulence Research at Stanford University and NASA Ames. In 2004 he accepted a lecturing position in the School of Engineering at the University of Tasmania. In 2006 Michael returned to the University of Sydney where he is currently an Associate Professor in Fluids, Energy and Environment in the School of Aerospace, Mechanical and Mechatronic Engineering. Abstract: This presentation will give a comparison of three approaches commonly used to model fluid flow in geometrically complex domains: the Cut Cell Method, Immersed Boundary Method and Curvilinear Coordinate Method. These approaches are discussed with reference to implementations within our CFD code -- PUFFIN. In the Cut Cell Method, a Cartesian mesh is used and complex boundaries are defined by truncating any computational cells intersected by the boundary. This leads to extra terms in the equations for the boundary cells but leaves the equations for the remaining cells in standard Cartesian form. In the Immersed Boundary Method, boundaries are represented through the creation of a set of virtual nodes lying on the boundary surfaces. Forcing terms are added to the equations for cells in the vicinity of the boundaries that drive the solution towards one that satisfies the boundary conditions at the virtual nodes. In the Curvilinear Coordinate Method, the governing equations are solved in a coordinate system that is transformed so that coordinate planes are aligned with the domain boundaries. This last method is mathematically complex, so a brief overview of relevant aspects of the theory of tensor analysis is given before proceeding to a description of our implementation.


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Evolutionary Computation in Structural and Geo-mechanics

Amir H. Gandomi, Professor of Data Science, University of Technology Sydney Amir H. Gandomi is a Professor of Data Science at the Faculty of Engineering & Information Technology, University of Technology Sydney. Prior to joining UTS, Prof. Gandomi was an Assistant Professor at the School of Business, Stevens Institute of Technology, NJ and a distinguished research fellow at BEACON centre, Michigan State University. Prof. Gandomi has published over one hundred and sixty journal papers and five books which collectively have been cited more than 13,000 times (H-index = 56). He has been named as one of the most influential scientific minds and a Highly Cited Researcher (top 1%) for three consecutive years, 2017 to 2019. Because of his efforts in Genetic Programming, he also ranked 19th in GP bibliography among more than 12,000 researchers. He has also served as associate editor, editor and guest editor in several prestigious journals and has delivered several keynote/invited talks. His research interests are global optimisation and (big) data analytics using machine learning and evolutionary computations in particular. Abstract: Evolutionary computation (EC) techniques are a subset of artificial intelligence, but they are slightly different from the classical methods in the sense that the intelligence of EC comes from biological systems. The central theme of this presentation is about EC techniques and their application to structural and geotechnical engineering problems. On this basis, the presentation is divided into two separate sections, including (big) data mining, and global optimisation. First, applied evolutionary computing in structural and geotechnical engineering data mining will be presented, and then their new advances will be mentioned, such as big data mining. After EC introduction, the EC applications for response modelling of a complex structural system under seismic loads will be explained in detail to demonstrate the applicability of these algorithms on a complex civil engineering problem. In the second section, the evolutionary optimisation algorithms and their key applications in the optimisation of complex and nonlinear civil engineering systems will be discussed. EC advantages over the classical optimisation problems and optimisation results of large-scale civil engineering systems using EC will be presented in this part. Some heuristics will be explained which are adaptable with EC and they can significantly improve their results.


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INVITED SPEACH My 45 Years’ Journey as a Biomedical (Bloody) Engineer, Including Australian Experience

Mitsuo Umezu, Professor, Graduate School of Science and Engineering, Waseda University and Centre for Waseda Institute for Medical Regulatory Science Abstract: Throughout my 45 years of research in Japan and Australia, I have participated in three ventricular assist system (VAS) projects. Of the three, two projects reached clinical application and commercialization. However, I had a critical stressful concern during pumping on my first “First in Human (FIH)”. My first FIH was in 1982, and involved a pneumatically-driven VAS at the National Cardiovascular Center, Osaka. The second FIH, in 2005, was with an implantable centrifugal-type VAS (EVAHEART) at Tokyo Women’s Medical University. Both VASs got official government approval for clinical device production in 1991 and 2011, respectively. The third VAS, an Australian project at St. Vincent’s Hospital, received an international patent for the Spiral Vortex pulsatile pump, and prototyped a mass production manufacturing technology. However, although the pump cost was dramatically reduced (90%), it did not achieve commercial success. Based on my experience, I would like to emphasize the importance of obtaining safety and efficacy data. Firstly, engineering analysis by modeling and simulation technology with sophisticated mock circulatory systems and CFD is the most effective approach, in addition to animal experiments. I named this approach: “another EBM; Engineering Based Medicine”. Of course, knowledge of medical regulatory affairs is also required to clear the hurdle of government approval.


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WORKSHOP SPEACHES Workshop Opening Ceremony and Introduction to Computational Mechanics Research Group at School of Engineering, University of Tasmania

Andrew Chan, Professor, Head of School of Engineering, University of Tasmania Professor Andrew Chan is Head of School of Engineering, University of Tasmania. He completed his PhD at the University of Wales, Swansea. He has spent time working as a Postdoctoral Research Assistant at Cambridge University, and has lectured in the Department of Civil Engineering at the University of Glasgow and was Reader and Professor in Computational Engineering at University of Birmingham. He is currently also a Contract Professor and part-time PhD supervisor for Harbin Institute of Technology in China. Professor Chan has a wide research interest. He is one of the world leading experts in the use of the finite element method of static and dynamic fully coupled soil and pore-fluid interaction and the author of two comprehensive Finite Element packages for deformable porous media and pore fluid interaction.


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Realistic Failure Process Analysis (RFPA)

Chun’an Tang, Professor, Director of Institute of Deep Underground Engineering and Deep Geothermal Energy, Director of Centre for Rock Instability and Seismicity Research, Dalian University of Technology, China Dr. Tang, as a chair Professor (funded by Cheung Kong Scholar Programme from State Education Ministry), was the Director of the Institute for Deep Underground Engineering and Deep Geothermal Energy and the Director of the Center for Rock Instability and Seismisity Research of Dalian University of Technology, and Chief Scientist of Mechsoft. He was also Vice President of Chinese Society of Rock Mechanics CSRM, and China National Group Chairman of International Society of Rock Mechanics. In 1984, he started his PhD research, in Northeastern University, China, and got his PhD in 1988. In 1991, he continued his post-doctoral work in Imperial College, UK (worked with Prof. J.A.Hudson). Then, as an academic visitor, he had lots of experience working in Canada, Sweden, Singapore, Switzerland and Hong Kong. He leads several major research projects in rock mechanics, especially on rock failure process analysis and monitoring in civil engineering. His work is funded by the “Trans-Century Training Programme Foundation for Outstanding Young Scholars in China” from the State Education Ministry and by the "Special Natural Science Foundation for Outstanding Young Scholars in China" from National Nature Science Foundation. So far, he has published about 300 technical papers on rock failure mechanisms and civil engineering, and is the author of five Chinese books of rock mechanics and the principle author of “Rock Failure Mechanism” published by CRC (Taylor & Francis Group, 2010, UK). Abstract: Many rock engineering problems involve potential and actual unstable rock failure, such as rockbursts, coal and gas outbursts and crack development in hydraulic fracturing. For this reason, the brittle failure of rock has received considerable attention. Various models and fracture criteria have been invoked in attempts to capture the essential features of the mechanisms which lead to brittle fracture in intact rock and the rock mass. Although much progress has been made and theories and models, such as fracture mechanics and damage mechanics, have provided techniques to solve fracture problems in rock, few approaches are capable of capturing fracture initiation, propagation and coalescence and hence of investigating fracture-induced progressive failure of rock. A major difficulty in modeling the fracture mechanisms for rock subjected to various loads is the fact that rock is a natural, composite material which is Discontinuous, Inhomogeneous, Anisotropic and Not Elastic (DIANE). It is not possible to analytically examine and evaluate the mechanical behavior of a DIANE rock exhibiting an unstable failure process. The problem becomes more intractable if gas or fluid, as in coal and gas outbursts, hydraulic fracturing, etc., is involved. In most of the cases, analytical models have to be simplified, ignoring important factors influencing the mechanical behavior of rock. Numerical models that simulate the detailed fracturing sequence are thus useful for understanding rock failure mechanisms on both the small and large scales. A newly developed numerical code, the Realistic Failure Process Analysis (RFPA) model, is firstly introduced. Then, examples are presented in the seminar illustrating how the overall macroscopic response of a brittle rock can be simulated by integration of the interactions between smaller-scale elements. Also, through the modeling of slope/tunnel collapse, strata movement in coal mining, block caving in ore mining, it will demonstrate that RFPA is possible to analyze large-scale practical problems.


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Development and Application of GPGPU-parallelized FDEM for Modelling Rock Fracture and Fragmentation

Hongyuan Liu, Senior Lecturer in Geomechanics, University of Tasmania Hong is currently a senior lecturer in geomechanics at School of Engineering, College of Sciences and Engineering, University of Tasmania. He completed his bachelor and master degrees at Northeastern University in China and his PhD at Lulea University of Technology in Sweden. Prior to joining in University of Tasmania as a lecturer, he was a research fellow at University of Queensland and a postdoctoral fellow at University of Sydney for about two and half years in each university. Abstract: Numerical modelling of rock fracture and fragmentation has been a challenging but hot topic since it has applications in not only breaking the rock mass for extracting valuable natural resources in mining, geothermal and oil & gas industries but also presenting geotechnical structures such as tunnels, slopes and dams in civil and hydropower engineering from failure and collapse. In recent decades, the combined finite-discrete element method (FDEM) has been further developed and applied in the field of rock engineering due to its capability of incorporating the advantages of both continuum and discontinuum methods in terms of simulating rock fracture and fragmentation. Compared with the finite element method, FDEM is more robust in modelling rock failure, especially fracture, fragmentation, and fragment movements resulting in tertiary fractures. Compared with the discrete element method, FDEM is more versatile in dealing with irregular-shaped, deformable and breakable particles. Since joining in University of Tasmania, Hong has been developing an integrated development environment of hybrid finite-discrete element method (HFDEM 2D/3D IDE) and has applied it to model rock fracturing in various geomechanics problems including fundamental rock mechanics tests, rock joint shearing tests, rock blasting and rock cutting. The HFDEM 2D/3D IDE code has recently been parallelized by Hong and his team on the basis of general-purpose graphic process unit (GPGPU) using computing unified device architecture (CUDA) C/C++. The detailed computing performance analysis shows the GPGPU-parallelized HFDEM 2D/3D IDE code can achieve the maximum speedups of 128.6 and 286 times in the case of the 2D and 3D modellings, respectively, and has the computational complexity of O(N), i.e. the amount of computation is proportional to the number of the elements. This presentation will firstly introduce the GPGPU parallelization of the HFDEM2D/3D IDE code and various other recent developments such as the hyper elastic solid model, extrinsic cohesive zone model, Mohr-Coulomb failure criterion, irreversible damage recovering during unloading, contact damping, contact friction, local damping, mass scaling, absorbing boundary, and adaptive contact activation. These developments will then be calibrated by modelling the rock fracture process in Brazilian tests, uniaxial and triaxial compressions, and split Hopkinson pressure bar (SHPB) dynamic tests. Finally, the GPGPU-parallelized HFDEM2D/3D IDE code will be applied in modelling rock fracture and fragmentation in mechanical rock cutting, mining-induced rock strata movement, slope instability, tunnelling, and rock blasting.


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How to Model Rock Fracture and Fragmentation using GPGPU-parallelized HFDEM2D/3D IDE

Mojtaba Mohammadnejad, PhD Candidate, University of Tasmania Mojtaba is currently a PhD student in Geomechanics at the University of Tasmania, who just submitted his PhD thesis on advanced FDEM modelling of rock fracture process and applications in rock cutting. He has five years professional experience as the design and site engineer in the field of geotechnical engineering. His main area of expertise includes assessment of rock mass quality, stability analysis of rural and urban slopes and excavations, and rock fracturing. He teaches rock mechanics and engineering as a casual lecturer at the University of Tasmania. Furthermore, he works with CSIRO as a postgraduate researcher focusing on the mechanism of rock fragmentation. Mojtaba will firstly introduce how to install the GPGPU-parallelized HFDEM2D/3D IDE code and then demonstrate how to model rock fracture and fragmentation using the GPGPU-parallelized HFDEM2D/3D IDE code through hands-on step-by-step instructions of simulating rock fracture in Brazilian tensile strength test and uniaxial compressive strength test. Finally, some advanced modelling of rock fracture and fragmentation in mechanical rock cutting using the GPGPU-parallelized HFDEM2D/3D IDE code will be briefed.


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TABLE OF CONTENTS

Paper ID in USB

Nonlinear inelastic analysis of high-strength square concrete-filled double steel tubular slender columns 1

Mizan Ahmed, Qing Liang, Vipulkumar Patel and Muhammad Hadi Research on the Algorithm of Bounding Box Based on Edge Detection and Snake Model 2

Hou Shouming and Tang Qibo

A New Non-planar Interlocking Element 3

Xu, Lin and Xie Deformation Characteristics and Control Technology for the Deep Roadway with Weak Planes 4

Meng Wang, Enle Xia, Dongjie Zheng and Zifeng Song Simulation investigation of automated top-coal caving in extra-thick coal seams 5

Ruifu Yuan, Qunlei Zhang, Dongyin Li and Huamin Li Patient-specific computational fluid dynamic simulation of human carotid arteries with rheology analysis based on MRI 6

Jessica Benitez Mendieta, Davide Fontanarosa, Jiaqiu Wang, Phani Kumari Paritala, Tim McGahan, Thomas Lloyd and Zhiyong Li

CFD Could Help Clinical to Plan Carotid Endarterectomy (CEA) on Carotid Bifurcation with Tandem Stenosis 7

Jiaqiu Wang, Phani Kumari Paritala, Jessica Benitez, Yuantong Gu, Owen Christopher Raffel, Tim McGahan, Thomas Lloyd and Zhiyong Li

Shape optimisation methods: a comparative study 8

David Munk and Xiaobo Yu Destruction Criteria for Overburden Strata Caused by High-intensity Longwall Mining 9

Wenbing Guo, Gaobo Zhao, Brijes Mishra and Erhu Bai Influence of hydrogenated tube ends on the rotation of carbon nanotube systems 10

Qinghua Qin and Kun Cai Study on Overburden Stability Control in Close Coal Seam Working Face 11

Ying Zhou

An immersed boundary method for hemodynamics involving complex geometries 12

Li Wang, Fang-Bao Tian and Susann Beier Simulation of Frictional Discontinuities Using a Cell-based Smoothed Meshfree Method 13

Arman Khoshghalb and Arash Tootoonchi


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Numerical Prediction of Convective Heat Transfer in CT-based Upper Airways 14

Suvash Saha, Mosammad Saidul Islam, Hui Ong and Paul Young Optimisation Design of Silo Hoppers for Mass Flow of Granular Materials 15

Xingjian Huang, Qijun Zeng and Wenyi Yan Machine learning aided stochastic static analysis for high strength lightweight nanocomposite plate structures 17

Yiyang Liu, Qihan Wang, Di Wu and Wei Gao Modelling an Axial Gas Turbine under Start-Up and Shut Down for Materials Evaluation in Power Generation 18

Ambagaha Pathirage Thanushka Sandaruwan Peiris, Emilie Sauret and Veronica Gray Data driven material modelling: a Gaussian processes regression approach 19

Baixi Chen, Luming Shen and Hao Zhang The articular cartilage structure and fibril-reinforced modelling for investigating cartilage mechanical behaviour: a review 20

Gao Shijie, Namal Thibbotuwawa and Gu Yuantong An Energy Minimization Model for Dynamic Hydro-Fracture Growth in Layered Domains 21

Mohammad Vahab, Nasser Khalili, Mohammadreza Hirmand and Ahmad Jafari Molecular Modelling of Thermal and Mechanical Behaviour of CNT/epoxy Nanocomposites 22

Kunkun Fu and Y.X. Zhang Effects of roll bending force and transverse shifting on contact normal stress, flatten deformation and deflection of rolls in cold strip rolling by FEM 23

Lianjie Li, Haibo Xie, Tianwu Liu, Xu Liu, Enrui Wang and Zhengyi Jiang Seismic behaviour of piled embankment using finite element approach 24

Naveen Kumar Meena and Sanjay Nimbalkar Stochastic Isogeometric Analysis with Trimming Technology for Plane Stress Analysis 25

Luo Bo, Yuan Feng, Di Wu and Wei Gao Lattice Boltzmann simulation of thermosolutal natural convection of Carreau- Yasuda fluids in a porous cubic cavity 26

Gholamreza Kefayati CFD-DEM model of the interaction between granular soil and interstitial cohesive fraction: some preliminary results 27

Xuzhen He, Haoding Xu and Daichao Sheng The coarse-grain simulation for rheology property of polycaprolactone and its composites 28

Yihan Nie, Haifei Zhan and Yuantong Gu


26

Simulation of a particle flow problem with moving boundaries using the Lattice Boltzmann method based on an interpolated bounce-back scheme 29

Zhiliang Wang, Miao Li, Libin Xin, Linfang Shen and Hong Guan 3D reconstruction of coronary arteries based on optical coherence tomography (OCT) and angiography images 30

Yuqiao Xiang, Jiaqiu Wang, Luping Wang, Phani Kumari Paritala, Jessica Benitez Mendieta, Prasad Yarlagadda, Owen Christopher Raffel and Zhiyong Li

OPTIMIZING COPLANAR IDT STRUCTURES USING FEM FOR MULTIPLE BIOSENSING 31

Fawwaz Eniola Fajingbesi, Amelia Wong Azman, Ahmad Zuraida, Rashidah Funke Olanrewaju, Muhammad Ibrahimy and Yasir Mohd Mustafah

Microstructure crack distribution considering material properties 32

Tom Wilson, Zhongpu Zhang, Nai-Chun Liu and Qing Li Helium-Oxygen Mixture Model for Particle Transport in CT-Based Mouth-Throat and Upper airways 33

Mohammad Saidul Islam, Yuantong Gu and Suvash Saha Level set topology optimization considering fracture failure 34

Chi Wu, Jianguang Fang, Shiwei Zhou, Guangyong Sun, Grant Steven and Qing Li Research on the non-linear deformation and failure characteristics of deep-buried coal seams based on the discontinuous deformation and displacement method 35

Chun’an Tang, Bin Gong and Shanyong Wang An Improved Topology Optimization of Bells Utilizing Sensitivity Analysis 36

Simon Thomas, Qing Li and Grant Steven Applying deep learning in aneurysm detection using CTA images 37

Xilei Dai and Yi Qian Computer simulation for the vascular diseases 38

Itsu Sen Discrete Modelling of Non-spherical Particles by Orientation Discretization 39

Kejun Dong, Kamayar Kildashti, Bijan Samali and Aibing Yu Reflections on 54 years of Computational Mechanics 40

Grant Steven A New DEM Framework for Modelling the Coupled Hydro-Mechanical Process in Soil Desiccation 41

Khoa Tran, Ha Bui and Giang Nguyen Topology optimization with size control of solids and voids 42

Xiaodong Huang and Wei Chen Multiphase constitutive modelling of unidirectional fibre reinforced composites 43

Van Vu, Giang Nguyen and Abdul Hamid Sheikh


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Three dimensional FDEM simulation of rock cutting 44

Mojtaba Mohammadnejad, Hong Liu, Daisuke Fukuda, Andrew Chan and Sevda Dehkhoda

Modelling Internal Erosion in Gap-Graded Soils using Pore Network Models 45

Adnan Sufian, Chris Knight, Catherine O'Sullivan, Berend van Wachem and Daniele Dini

Redistribution of Stress in Gap-Graded Soils during Shearing 46

Adnan Sufian, Marion Artiguat, Catherine O'Sullivan and Thomas Shire Molecular Dynamics Study of Lung Surfactant Monolayer with Phospholipid- coated Gold Nanoparticles 47

Sheikh I. Hossain and Suvash C. Saha Some Developments and Engineering Applications of GPGPU-Parallelized FDEM 48

Hongyuan Liu and Daisuke Fukuda Random Finite Element Method Considerations for Slope Stability Analysis of Large Open-Pit Mines 49

Ashley Dyson and Ali Tolooiyan Kinematically enriched constitutive models for simulating complex cracking 50

Giang Nguyen and Ha Bui Numerical simulations for the effects of discrete fracture network on CO2 penetration in shale caprock 51

Huimin Wang, Jianguo Wang, Xiaolin Wang and Andrew Chan Revisiting Leak-off Flow in Hydraulic Fracturing Treatments Using a Novel X-FEM Technique 52

Ahmad Jafari, Mohammad Vahab and Nasser Khalili Dynamics of Piles Embedded in Non-Homogeneous Transversely Isotropic Soils 53

Babak Shahbodagh, Hamed Moghaddasi and Nasser Khalili Moisture dependent elastoplastic fibre composite model for compressive wood members – finite element method implementation and validation 54

Yingyao Cheng, Andrew Chan and Damien Holloway A Multiscale Failure Modelling Framework and its Computational Aspects 55

Wenjin Xing and Tony Miller Realistic modelling of sand-rubber particle mixtures 56

Klaus Thoeni, Mohsen Asadi and Ahmad Mahboubi Modeling of the chemo-mechanical degradation of cement-based materials subject to leaching 57

Zhongcun Zuo and Terry Bennett


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Micro-particle Separation by Three-Dimensional Microfluidic Trapezoidal Spiral Channel 58

Rezwana Rahman, Mohammad Saidul Islam, Sheikh Imamul Hossain and Suvash C. Saha

XFEM Fracture Modelling for Biomedical Applications 59

Boyang Wan, Mahdi Shahmoradi, Zhongpu Zhang, Ji Bian, Ali Entezari, Chi Wu, Michael Swain and Qing Li

Computational challenges in modelling mud pumping in high-speed railway embankments 60

Daichao Sheng Computational modelling of Hierarchical Enamel Structures 61

Ji Bian, Boyang Wan, Mahdi Shahmoradi, Zhongpu Zhang, Ali Entezari, Chi Wu, Michael Swain and Qing Li

Incorporating suction in to strength and stability problems 62

Adrian Russell and Thanh Vo Development of a corrected Gibson-Ashby model for the prediction of elastic modulus of additively manufactured lattices by coupling bending and stretching deformations 63

Haozhang Zhong, Raj Das, Qian Ma, Jianfeng Gu, Stefan Gulizia and Darren Fraser Optimisation of lightweight engineering lattice structures for enhancing directional mechanical properties 64

Haozhang Zhong, Raj Das, Ma Qian, Jianfeng Gu, Stefan Gulizia and Darren Fraser

Investigating the effects of joint properties on the Internal Shaft Friction of Open-ended Tubular Piles Using DEM 65

Behzad Fatahi, Hadi Khabbaz and Xiangyu Zhang Numerical exploration of performance of cable bolts in shear loading 66

Haleh Rasekh, Naj Aziz, Jan Nemcik and Ali Mirzaghorbanali Criteria of the Overburden Strata Critical Destruction caused by High-intensity Longwall Coal Mining 67

Wenbing Guo, Gaobo Zhao, Briges Mishra and Erhu Bai Failure Mechanism and Control Technology for Deep Inclined Rock Roadway with Weak Planes 68

Meng Wang, Enle Xia, Dongjie Zheng and Zifeng Song Shape Optimization Methods: A Comparative Study 69

David Munk and Xiaobo Yu Effects of roll bending force and transverse shifting on the roll stack in cold strip rolling by FEM 70

Lianjie Li, Haibo Xie, Tianwu Liu, Xu Liu, Enrui Wang and Zhengyi Jiang


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Asymmetrical yielding and its effects on bending and springback behaviours of hexagonal close-packed metals 71

Hamed Mehrabi and Chunhui Yang Design Optimization for Triply Periodic Minimal Surface Structures with Crashworthiness Criteria 72

Huiyu Wang, Jianguang Fang, Guangyong Sun, Grant Steven and Qing Li Robust topology optimization for fiber reinforced plastic composites considering loading uncertainties 73

Yanan Xu, Chi Wu, Jianguang Fang, Grant Steven and Qing Li Simulation of Frictional Discontinuities Using a Cell-based Smoothed Meshfree Method 74

Arman Khoshghalb and Arash Tootoonchi


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NOTES


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NOTES


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Handbook of the 4th Australasian Conference on Computational Mechanics. Eds. Chan, A.; Liu, H.Y.; Tolooiyan, A. School of Engineering, University of Tasmania (2019)


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