Residual Service Life Prediction for Building Infrastructure Principal Investigator: Ashish Shah...

13
Prediction for Building Infrastructure Principal Investigator: Ashish Shah

Transcript of Residual Service Life Prediction for Building Infrastructure Principal Investigator: Ashish Shah...

Residual Service Life Prediction for Building Infrastructure

Principal Investigator:Ashish Shah

Research Development Unit, RMIT Business

Shah, June 04

Outline:How study emerged Background & challenges

Residual service life prediction What is? Issues & needs

Potential

Proposed case-study Flowchart

Research Development Unit, RMIT Business

Shah, June 04

From study on review of asset management practices of public building infrastructure, Australia wide and international

Area needs improvement were identified through interviews and meetings with academics, industry professional and public works department personnel

Background:

Image from http://www.lsc.vsc.edu/

Research Development Unit, RMIT Business

Shah, June 04

Typical Asset Life cycle:

Compiled from:

•Asset Management Handbook(1996),© ANAO, Commonwealth of Australia

•Sustaining our assets (Dec, 2000), © Department of Treasury & Finance, Victoria

Operation & MaintenanceOptimise performanceMaintenance program

Asset ValuationCondition & usage

DisposalRetirementReplacementRenewalRedeployment

AcquisitionNon Asset alternatives

Risk ManagementAssets owned by Govt.

Assets leased from private sectorsPublic/private partnership

PlanningAsset needsReview optionsLife cycle costingCost/benefit

Monitoring &

Performance management

Continuous monitoring

Qualitative & quantitative assessments

Research Development Unit, RMIT Business

Shah, June 04

Current status of buildings:

American infrastructure report card(2003,2001) rated “School Buildings” ‘d-’ which is below ‘poor’

Needs massive improvement

State and health of stock of significant amount of Australian public buildings, not covered in Australian Infrastructure Report card (2001)

No rating of public building infrastructure- possibly due to lack of data

Large amount of ageing public buildings due to significant growth in building construction Opportunity to “re-life” compare to “new build” Increased commitment to sustainability suggests re-life

Research Development Unit, RMIT Business

Shah, June 04

Issues:

Challenges for “Re-life” compare to “new build”:Usage of existing old buildings might have got changedOptimising the resources in managing these assets Respond effectively to possible asset failures Deal with aging of assets and asset renewal issues Substantial defects with varied repair requirementsDevelopment of residual service life prediction methodology for existing buildings

Support to take up the challenge:CRC Construction Innovation, Queensland Department of Public Works, QUT, RMIT (Engineering and Business) and others as partners in a collaborative project

Research Development Unit, RMIT Business

Shah, June 04

Residual service life (RSL):

Residual Service life of a building: (ISO 15686) “Period of time after installation during which a building or its parts meets or exceeds the performance requirements at a certain moment of consideration.”

Building are complex facilities, The complexity in building systems and components is that, they have typical service life ranges, which rarely coincide with one another, yet these systems are expected to perform satisfactorily throughout the anticipated service life of the facility.

Research Development Unit, RMIT Business

Shah, June 04

Illustration:

Performance

C Minimum acceptable performance (say)

Years

A: Typical Performance

X Years

B: Prediction on performance based on range of repair options (Extensive to Minor)

B:Prediction on performance based on range of repair options (Extensive to Minor)

Research Development Unit, RMIT Business

Shah, June 04

Components of RSL prediction:

Present condition of assetPerformance of the asset overtimeHistorical data

Various options From minor repair to major refurbishment inclusive DO NOTHING option

Pool of solutions with all possible optionsChoice model/Genetic algorithmSelecting near-optimum solution in conjunction with single/multiple criteria of the organization responsible for managing asset.

Research Development Unit, RMIT Business

Shah, June 04

Current research work

Review of building condition assessment/survey methodologiesExisting residual service life predictions for other infrastructure assets

(eg Aerospace industry, bridges etc)

One or more bldgs as case study

Research Development Unit, RMIT Business

Shah, June 04

Proposed case study

Do condition audit

Analyze the condition with building regulations or else, give ratings

Rating of building, < = > min perfomance requirement

Identify a building

Research Development Unit, RMIT Business

Shah, June 04

Proposed case study

Generate pool of solutions considering no, or minor to major repairs (Innovative materials and methods). Also list possible functional uses and its market valuation in future for each solution Ongoing Structural Health Monitoring (if required)

Use genetic or fuzzy logic or other algorithm to find near optimum economic solutions

Senior management to decide the best solution serving their strategic views

Research Development Unit, RMIT Business

Shah, June 04

Potential

Auditing of Building Assets Mandatory requirement as per Australian Accounting

standard As an efficient input in valuations of their assets (old

existing buildings)

Technical Due Diligence (as a 3rd party audit) For potential buyer of existing old building Best time to renovate/refurbish the old building

Eg Melbourne Central Evolution

As an IT tool For public and private sector for better decision

making for their aging infrastructure