Gerardo Flintsch, Virginia Tech

35
Outcomes of NCHRP 15-55 Hydroplaning Gerardo Flintsch, Virginia Tech

Transcript of Gerardo Flintsch, Virginia Tech

Page 1: Gerardo Flintsch, Virginia Tech

Outcomes of NCHRP 15-55 Hydroplaning

Gerardo Flintsch, Virginia Tech

Page 2: Gerardo Flintsch, Virginia Tech

Contents

1. Introduction

2. Project Objective

3. Water accumulation on the pavement

4. Hydroplaning

5. Outcomes of NCHRP 15-55

6. Final Thoughts

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1. Introduction

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Vehicle (Tire) / Road (Pavement) Interaction

Smoothness – Ride

Quality

Friction - Safety

Rolling Resistance

Splash and Spray

Tire Wear

Fuel Consumption

Environment

Pollution

Noise

Hydroplaning

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Hydroplaning

Center for Sustainable Transportation Infrastructure

https://www.faasafety.gov/gslac/ALC/course_content.aspx?cID=34&sID=171&preview=true

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Background

✓ AASHTO: hydroplaning is "a condition where one or more tires of a moving vehicle are

separated from the pavement by a film of water; usually due to a combination of depth

of water, pavement surface texture, vehicle speed, tread pattern, tire condition, and

other factors."

✓ Hydroplaning is an important safety-related issue

✓ Previous studies (e.g., NCHRP 1-29 Improved Surface Drainage of Pavements (Anderson

et al., 1998)) focused on the accumulation of water on the pavement

✓ Other aspects are also critical in assessing the potential for hydroplaning:

▪ Vehicle

▪ Tire

▪ Fluid dynamics at the tire-pavement interface, as well as driver behavior.

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2. Objective

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Objective

✓ To develop a comprehensive hydroplaning risk assessment tool that can be used by transportation agencies to help reduce the potential of hydroplaning.

▪ Treating hydroplaning as a multidisciplinary and multi-scale problem

▪ Solutions for areas with a high potential of hydroplaning based on a fundamental and meaningful understanding of the problem.

Center for Sustainable

Transportation Infrastructure

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Objective✓ Final Product: Guidance to predict and mitigate hydroplaning on

roadways

✓ Two supporting products:

▪ A Hydroplaning Risk Assessment Tool • Practical and simple means for assessing the impact of roadway geometric

features on the accumulation of water on the pavement and determining the hydroplaning potential for existing or new roads

▪ An Integrated Hydroplaning Model• Intermediate product, generated mainly for the development of the

simpler, more practical assessment tool

Center for Sustainable

Transportation Infrastructure

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NCHRP 15-55 Research Approach Overview

Enforcement

& Traffic

Control

Pavement &

Highway

Engineering

Mitigation

Strategies

Mitigation

Measures

Integrated Hydroplaning

Model

Vehicle Response Model

Tire ModelTire-water-pavement Interaction

Vehicle Dynamics

Braking

Speed

3D Road

surface

model

Speed

Maneuver

Tire Characteristics

- Condition

Weather

- Rainfall

Road Characteristics

- Geometry

- Smoothness

- Texture

- Drainability

Vehicle Characteristics

- Type of vehicle

Inputs Hydroplaning Risk

Assessment Tool

Hydroplaning

Potential

Road

Assessment

Performance

Margin

Agency Criteria

- PM Threshold

Simple relationships between

road characteristics, vehicle

speed and water film thickness

and Performance Margin

Water Film

Thickness

Simplified Hydroplaning RiskAssessment Tool

Water Accumulation

Road Model

3-D Water Model

Water Accumulation

Hydroplaning Potential

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3. Water Accumulation

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Measuring/Predicting Water Film Thickness

✓ Lab Measurements

✓ Field Measurements

✓ Modeling

12

https://www.lufft.com/pro

ducts/road-runway-

sensors-292/marwis-

umb-mobile-advanced-

road-weather-

information-sensor-2308/

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Examples of Water Accumulation Models

Center for Sustainable Transportation Infrastructure

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NCHRP 15-55 3D Water Accumulation Model

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Validation work with Reed at al. (1989)

and 1-D correlations.

(a) Base case with 20 mm/h

(b) Case 2 with 60 mm/h

(c) Case 3 with 100 mm/h

WFT

distribution on

pavement with

different

rainfall rate

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NCHRP 15-55 Hydroplaning Risk Assessment Tool Simplified Water Model

✓ Modified Gallaway Equation

✓ Gaussian Kernel Smoothing

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WFT (mm) = 1.67

Step 3

Step 1

Step 2

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Comparing the results with Recent FHWA / US Doe / Argonne Reports

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4. Hydroplaning

http://auto.howstuffworks.com/car-driving-

safety/accidents-hazardous-conditions/hydroplaning.htm

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Traditional Hydroplaning Models: Hydroplaning Speed Prediction

✓ NASA:

✓ TXDOT:

✓ PAVDRN:

✓ USF:

( ) pFARvp 72.015.1780.51 +−=

1)(95.7 −= FARpvp

( ) ATDpSDvp

06.03.004.0 1+=

−+= 14.0

06.006.0817.7

952.28,

409.10507.3max T

WFTWFTA

259.004.26 −= WFTvp

+= 49.0

82.006.0

5.02.0

WFTpWLvp

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Integrated Hydroplaning Model

Vehicle Response

Fluid-Solid Interaction (FSI)

Tire

Characteristics

Water Accumulation

Vehicle

CharacteristicsPerformance

Margin

Driver

3D Road Surface Model

Water Film Thickness

Tire Model(Abaqus)

Coupling (Star-CCM+)

Pressure,

Critical Velocity

Deformed tire structure

Roughness

Texture

Texture

Speed

Type of vehicle

Type of tire

Condition

(tread depth)

Spindle position, lateral and

longitudinal forces from tire,

vertical hydrodynamic force

Tire-water-pavement Interaction(Star-CCM+)

Vehicle Dynamics (CarSim)

x

YZ

Inflow

Outflow

Pavement

Level

Y

VZ

Wate

r Level

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Tire-pavement-water Interaction Model

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Bald tire mesh profile and pressure distribution on bald tire surface

Volume fraction of the water

flowing in the tire pattern groove

with 5-mm WFT at 40 mph.

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Vehicle Dynamics Model - Performance Margin

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G Values

Hydroplaning Vehicle Simulator

MATLAB CARSIM SIMULINK

Simple Input-Output Model

Simple Risk/Potential Model

SimpleIO Model

Simple Risk/Potential

Model

Hydroplaning Risk/Potential

Create Simple Input-Output Model

Method to Estimate Hydroplaning Risk/Potential

• INPUT: Vehicle, Road, Tire, WFT• OUTPUT: Effective Friction

• INPUT: Effective , G Values• OUTPUT: Risk/Potential

IO Model

Risk/Potential Model

G Values

GUI

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4. NCHRP 15-55 Products

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NCHRP 15-55 Products

✓NCHRP 15-55 Report: Guidance to Predict and Mitigate Dynamic Hydroplaning on Roadways

✓New definition of Hydroplaning

✓Research-grade “Integrated” Hydroplaning Model

✓Hydroplaning Risk Assessment Tool with Manual

✓RNS for Possible Continuation Efforts

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NCHRP 15-55: Guidance to Predict and Mitigate Dynamic Hydroplaning on Roadways

Flintsch, G.W., Ferris, J.B., Battaglia, F., Taheri, S., Katicha, S., Chen, L., Kang, Y., Nazari, A., de Leon Izeppi, E., Velez,

K., Kibler, D., McGhee, K.K., Project 15-55: Guidance to Predict and Mitigate Dynamic Hydroplaning on Roadways,

Draft Final Report, June 2020

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es

Hydroplaning Definition

✓ Based on vehicle handling capabilities▪ Performance margin

(available fiction) dry

▪ Required friction

▪ Available fiction wet

✓ Performance Margin

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Hydroplaning Potential and Risk

✓ Not implemented in the tool

✓ Hydroplaning potential

𝐻𝑃 = 𝑃 H/ 𝑉 𝑆 𝑊 = 1 +𝑃𝑀

𝛼

−4𝛼𝛽−1

✓ Hydroplaning risk

HR = P(H/ S) =σ𝑉σ𝑊𝑃(𝐻 / 𝑉 𝑊 𝑆))(𝑃 𝑃 𝑊 𝑃 (𝑊/ 𝑆))

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Hydroplaning Risk Assessment Tool

Maximum Water Film

Thickness

Simplified Water Film Thickness

Prediction

Tire Characteristics

- Bald

- New

Location

- Weather databases

Road Surface

- Grid

Vehicle Characteristics

- Hatchback

- Sedan

- SUV

Inputs

Road Characteristics

- Grade

- Cross-slope

- Curvature

- Smoothness

- Macrotexture

Performance Degradation Estimation

Performance

Margin

Processes Outputs

Operating Conditions

• Speed

• Breaking

Hydroplaning Potential (based on agency-defined criteria)

Design Rainfall

Hydroplaning Risk Assessment Tool

Agency Criteria

- PM Threshold

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NCHRP 15-55 Tool – beta version

1. Select a file containing a prepared coarse grid for the alignment

2. Add the main surface characteristics and road geometric characteristics

3. Select the design speed and braking deceleration, design vehicle, and tire condition (or approve the default).

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Step 3

Step 1

Step 2

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Performance Margin Calculation

P= 0.15

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Step 3

Step 1

Step 2

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Example – Effect of Macrotexture

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MPD = 0.5 mm; WFT = 1.57 mm; PM136km/h = 0.098 MPD = 1.8 mm; WFT = 0.58mm; PM136km/h = 0.122

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Example 2 - 4-lane section with uniform and accentuated transversal

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Uniform Sy = 2% slope; WFT = 1.60; PM = 0.112

Increasing Sy = 3% in the outer lanes; WFT = 1.46; PM = 0.118

PM = 0.10 @ v = 140 km/h (88 mph)

PM = 0.10 @ v = 151 km/h (94 mph)

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Possible Continuation Efforts (RNS)1. Refine and verify the models to predict water accumulation

▪ Field Measurements

2. Refine and verify the models that predict hydroplaning potential for full suite of tire treads and vehicle types▪ Field Measurements

3. Enhance the Hydroplaning Risk Assessment Tool using data from tasks 1 and 2 and available crash data

32Advancing Transportation Through Innovation

https://www.lufft.com/products/r

oad-runway-sensors-

292/marwis-umb-mobile-

advanced-road-weather-

information-sensor-2308/

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5. Final Thoughts

http://garak.wimp.com/images/thumbs/2014/06/66effb01da776d2c3f

ce3228eb28cb58_record_506_332.jpg

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Final Thoughts

✓ The accumulation on water on the pavement impact the vehicle performance and safety and the comfort of drivers

✓ Hydroplaning is difficult to measure directly but it can be modeled

✓ NCHRP 15-55 proposed a novel definition of Hydroplaning Potential in terms of the Performance Margin, which is defined as the additional performance capability that can be drawn upon beyond that which is demanded by the current operating condition.

✓ The project also developed a computer Risk Assessment Tool that can be used to identify roadway sections in need for interventions and the potential impact of various treatments

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Outcomes of NCHRP 15-55 Hydroplaning

Gerardo Flintsch, Virginia Tech

[email protected]