Numerical simulation of vehicle hydroplaning and skid resistance on grooved pavement

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Numerical simulation of vehicle hydroplaning and skid resistance on grooved pavement

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NUMERICAL SIMULATION OF VEHICLE HYDROPLANING AND SKID RESISTANCE ON GROOVED PAVEMENT KUMAR ANUPAM NATIONAL UNIVERSITY OF SINGAPORE 2012 NUMERICAL SIMULATION OF VEHICLE HYDROPLANING AND SKID RESISTANCE ON GROOVED PAVEMENT KUMAR ANUPAM (B.Tech(Civil), Indian Institute of Technology (IIT)-Roorkee) A THESIS SUBMITTED FOR THE DEGREE OF DOCTOR OF PHILOSOPHY DEPARTMENT OF CIVIL ENGINEERING NATIONAL UNIVERSITY OF SINGAPORE 2012 ABSTRACT The primary objective of this research is to study the characteristics of hydroplaning and skid resistance of passenger cars and trucks on highway pavements by means of numerical simulation. The first part of research deals with the study of hydroplaning of smooth vehicular tires on pavements with various surface groove patterns. The simulations were performed using the computational fluid dynamics software FLUENT. The second part of the study involves the simulation of wet pavement skid resistance measurements of smooth vehicular tires on grooved pavements. The three-dimensional finite element simulation model was developed using computer software ADINA. Simulation analysis reveals that pavement grooving helps in raising skid resistance, lowering breaking distances and raising hydroplaning speed thereby lowering the risk of wet-weather accidents for both passenger cars and trucks. The research has demonstrated that the analytical simulation model is a convenient tool for predicting wet-pavement skid resistance and hydroplaning speed. i ACKNOWLEDGEMENTS The author would like to express his utmost gratitude and appreciation to his supervisor, Professor Fwa Tien Fang, who has continually and convincingly displayed a spirit of adventure in exploring of things as yet unknown and great excitement in teaching. He is deeply indebted to him for his guidance, care, support supervision and most importantly encouragement throughout this research program. He would also like to extend his gratitude to PhD committee and Dr. Ong Ghim Ping Raymond for the support and recommendations made to improve the research. Special thanks are given to the National University of Singapore for providing the research scholarship during the course of research. Thanks are also extended to fellow research mates and friends, Mr. Srirangam Santosh Kumar, Mr. Farhan Javed, Dr. Bagus Hario Setiadji, Mr. Wang Xing Chang, Mr. Qu Xiabo., Mr. Hadunneththi Rannulu Pasindu, Miss Ju Fenghua, Mr. Yang Jiasheng and Mr. Sanjay Kumar Bharati, for their kind support. Gratitude is accorded to Mr. Foo Chee Kiong, Mr. Goh Joon Kiat, Mr. Mohammed Farouk, Mrs. Yap-Chong Wei Leng and Mrs. Yu-Ng Chin Hoe of the Transportation Engineering Laboratory; Mr. Wang Junhong of the Supercomputing and Visualization Unit of the National University of Singapore Computer Center for their kind assistance and support in the course of research. Finally, the author would like to express his heartfelt thanks and gratitude to his family for their tremendous care, utmost support and encouragement given to the author in his work. i TABLE OF CONTENTS INTRODUCTION 1.1 Background 1.2 Objective 1.3 Scope of Research 1.4 Organization of Thesis LITERATURE REVIEW 2.1 Mechanism of Skid Resistance and Hydroplaning 2.1.1 Skid Resistance 2.1.2 Factors Affecting Skid Resistance 2.1.3 Hydroplaning 2.1.4 Factors Affecting Hydroplaning 2.2 Empirical Relationships of Skid Resistance and Hydroplaning 2.2.1 Skid Resistance 2.2.2 Hydroplaning Speed 2.3 Theoretical Approaches of Skid Resistance and Hydroplaning Studies 2.3.1 One-Dimensional Flow Models 2.3.2 Two-Dimensional Flow Models 2.3.3 Three-Dimensional Flow Models 2.4 Research Needs and Scope of Study DEVELOPMENT OF SIMULATION MODEL FOR SKID RESISTANCE AND HYDROPLANING ON GROOVED PAVEMENT 3.1 Introduction 3.2 Computational Fluid Dynamics 3.2.1 Fluid Flow Model for Computational Fluid Dynamics 3.2.2 Solver Algorithm for Computational Fluid Dynamics 3.2.3 Turbulence Fluid Flow Modeling 3.2.4 Different Flow Models Used in FLUENT 3.2.5 Concept of Hydroplaning Modeling and Tire Deformation Profile 3.3 Finite Element Modeling of Tire-Fluid-Pavement Interaction 3.3.1 Pneumatic Tire Modeling 3.3.2 Fluid-flow Modeling 3.3.3 Modeling of Fluid Structure Interaction 3.3.4 Modeling of Pavement Surface 3.3.5 Tire Pavement Interface 3.3.6 Solution Procedure 3.3.7 Determination of Skid Resistance 3.4 Summary VALIDATION OF SIMULATION MODELS 4.1 Introduction 1 2 5 12 16 16 19 20 21 25 25 27 30 33 47 47 47 48 51 54 58 63 64 65 66 69 70 71 71 74 74 84 84 ii 4.2 4.3 4.4 Validation of FLUENT Hydroplaning Simulation Model 84 4.2.1 Comparison against NASA Hydroplaning Equation 85 4.2.2 Validation against Experimental Data for Longitudinal Pavement Grooving 86 4.2.3 Validation against Experimental Data for Transverse Pavement Grooving 87 Validation of Skid Resistance Model using ADINA against Experimental Data 87 Summary 90 CHARACTERIZING VARIATIONS IN HYDROPLANING SPEEDS AND BEHAVIOR OF SKID RESISTANCE OF GROOVED PAVEMENTS 5.1 Introduction 5.2 Grooved Surfaces Analyzed using FLUENT Model 5.3 Finite Element Mesh Design and Convergence Verification 5.3.1 Simulation Results based on Proposed Model 5.3.2 Hydroplaning Speed Variation in All Patterns 5.4 Analysis of Simulation Results of Hydroplaning Speeds 5.4.1 Macrotexture Pattern A: Transversely Grooved Surfaces 5.4.2 Macrotexture Pattern B: Longitudinally Grooved Surfaces 5.4.3 Macrotexture Pattern C: Grid-Pattern Grooved Surfaces 5.4.4 Effects of Groove Pattern and MTD on Hydroplaning Speed 5.5 Analysis of Simulation Results of Skid Resistance using ADINA Model 5.5.1 Effect of Pavement Grooving on Skid Resistance 5.5.2 Effect of Vehicle Speed on Skid Resistance 5.5.3 Effect of Operating Conditions on Skid Resistance 5.6 Summary VEHICLE STOPPING DISTANCE ANALYSIS 6.1 Introduction 6.2 Braking Distance Calculation 6.2.1 Procedure Adopted by Various Countries 6.3 Need for Evaluation of Braking Distance of In-Service Pavements 6.4 Mechanistic Determination of Braking Distance for In-Service Pavements 6.4.1 Computation of Braking Distance 6.4.2 Procedure for Analysis of Braking Distance and Friction Threshold Level 6.4.3 Accounting for Braking and Driver Control Efficiency 6.5 Results and Analysis 6.5.1 Effect of Grooved Depths 6.5.2 Effect of Water Film-thickness 6.5.3 Effect of Tire Inflation Pressure 6.5.4 Effect of Wheel Load 6.6 Summary on Variation Trends in Automobile Braking Distance 100 100 100 101 102 103 103 103 104 105 105 108 108 110 110 111 132 132 132 134 134 135 136 137 138 139 139 140 141 141 142 SKID RESISTANCES AND HYDROPLANING OF TRUCK TIRES ON GROOVED PAVEMENT 154 7.1 Introduction 154 iii 7.2 7.3 Modeling of Truck Tire 155 Validation of Truck Tire Models 157 7.3.1 Hydroplaning Speed for Truck Tire on Smooth Pavement 157 7.3.2 Skid resistance for Truck Tire on Smooth Pavement 158 7.3.3 Skid resistance for Truck Tire on Grooved Pavement 158 7.4 Mechanism of Skid Resistance 159 7.4.1 Forces Contributing to Skid Resistance 160 7.5 Variation Characteristics of Hydroplaning and Skid Resistance of Truck Tires on Grooved Pavements 161 7.5.1 Effects of Pavement Grooving on Hydroplaning Speed 161 7.5.2 Effects of Tire Inflation Pressure on Hydroplaning Speed 162 7.5.3 Effects of Wheel Load on Hydroplaning Speed 163 7.5.4 Effects of Vehicle Speed on Skid Resistance 163 7.5.5 Effects of Tire Inflation Pressure on Skid Resistance 164 7.5.6 Effects of Wheel Load on Skid Resistance 165 7.6 Summary 166 CONCLUSIONS AND RECOMMENDATIONS 185 8.1 Research Overview 185 8.1.1 Development of 3-Dimensional Pneumatic Tire Hydroplaning Simulation Model on grooved Pavement Surface 186 8.1.2 Development of the Pneumatic Tire Hydroplaning Model 186 8.1.3 Hydroplaning on Grid Pattern Pavement Grooves 187 8.2 3-Dimensional Pneumatic Tire Modeling for Skid Resistance Measurements 189 8.3 3-Dimensional Truck Tire Modeling for Skid Resistance and Hydroplaning Speed Analysis 190 8.4 Recommendation for Future Research 191 iv SUMMARY The primary objective of this research is to study by means by numerical simulation the characteristics of hydroplaning and skid resistance of passenger cars and trucks on highway pavements with various forms of drainage enhancing surface grooves. The first part of research deals with the study of hydroplaning of vehicular tires pavements with various surface groove patterns. The aim was to offer a better understanding of how pavement grooving influences vehicle hydroplaning potential. The simulations were performed using the computational fluid dynamics software FLUENT. The simulation results were analyzed to evaluate the effects of the ASTM standard smooth tire on hydroplaning for various grooved pavement surfaces. In the hydroplaning model a fixed tire deformation profile based on Browne‘s experimental research is assumed. Computational fluid dynamic which uses numerical methods and algorithms to solve and analyze problems has been used to model the hydroplaning model. The fundamental basis of formulating the computational fluid dynamics problem is the NavierStokes equations. The flow at hydroplaning speed is known to be turbulent and thus the k-  model is used in the simulation. The second part of the study involves the relaxation of the hydroplaning tire deformation profile assumption of tire-fluid-pavement interactions. This is needed in order to develop models that can simulate wet skid resistance at speeds lower than hydroplaning speed. The threedimensional finite element simulation model that is capable of modeling solid mechanics, fluid dynamics, tire-pavement contact and tire-fluid interaction is solved using the computer software ADINA. The proposed simulation model is calibrated and validated for the case of a loaded stationary tire under both dry and wet pavement conditions. The model is used to simulate hydroplaning and skid resistance at different locked vehicle sliding speeds. By varying the v vehicle speed and operating conditions the effect of pavement grooves on skid resistance is studied for smooth passenger car tires and truck tires. The analysis reveals that transversely grooved surfaces produce much higher hydroplaning speeds than longitudinally grooved surfaces, and thus are more effective in reducing vehicle hydroplaning potential. However, grid patterns (a combination of longitudinal and transverse grooves) offer the highest hydroplaning speed. In general it was observed that deeper, wider and closely spaced grooving is more effective in reducing hydroplaning potential. In general the skid resistance is found to increase with wheel load and marginally with tire pressure, but decrease with the sliding wheel speed. Both longitudinal and transverse grooving are found to raise the skid resistance. Vehicle sliding speed was the most important factor affecting the magnitude of skid resistance for passenger car tires. The whole research has demonstrated that the analytical simulation model is a convenient tool for predicting wetpavement skid resistance and hydroplaning speed, and an effective means to study the influences of various factors on hydroplaning and skid resistance without the need to conduct large-scale experiments. vi LIST OF TABLES Table 2.1: Skid resistance measurement (after Henry, 1986) 35 Table 4.1: Comparison of past research results and predicted results of hydroplaning 92 Table 4.2: Description of various transversely grooved pavement surfaces tested by 92 Table 4.3: Skid measurement conditions for smooth car tire on grooved pavement at tire inflation pressure of 165.5 kPa 93 Table 5.1: Hydroplaning speed and MTD for transversely grooved surfaces (ASTM E524 smooth tire, tire inflation pressure 186.2 kPa and wheel load 2410 N) 113 Table 5.2: Hydroplaning speed and MTD for longitudinally grooved surfaces (ASTM E524 smooth tire, tire inflation pressure 186.2 kPa and wheel load 2410 N) (Contd.) 115 Table 5.3: Hydroplaning speed and MTD for grid-pattern grooved surfaces (ASTM E524 smooth tire, tire inflation pressure 186.2 kpa and wheel load 2410 N) 116 Table 5.4: Water discharge rate of grooves 117 Table 6.1: Current practices for determining braking and stopping distances 144 Table 6.2: Parameters considered in the study 145 Table 6.3: Experimental skid number values 145 Table 7.1: Comparison of Footprint Dimensions from Experiment and Simulation 167 Table 7.2: Test conditions for skid number measusurements at different vehicle speeds 168 Table 7.3: Comparison between experimental skid number and simulation skid number 169 Table 7.4: Parameters considered in the analysis 170 vii Chapter The analyses of braking distance considers a locked smooth tire with zero tread depth skidding on a plane flooded pavement surface, and also on grooved pavement surfaces. Effect of pavement grooving at different groove depths were analyzed for various operating conditions of wheel load, water-film thickness, and tire inflation pressure. The braking distance trends show that tire inflation pressure, wheel load, water-film thickness, sliding speed, and driver control efficiency are all found to have significant effects on the length of braking distance. The analyses show that braking distance varies positively with water-film thickness and vehicle sliding speed, but negatively with driver control efficiency, tire inflation pressure and wheel load. From a safety point of view, the most unfavorable driving condition is the case of an inexperienced driver (i.e. low driver control) driving at high speed (i.e. low wheel load) with a low tire inflation pressure on a flooded pavement with a thick layer of surface water for completely plane pavement surface. Pavement grooving is found to significantly reduce the breaking distance i.e. decrease the risk of collision. Deeper grooves are found to be very effective in reducing breaking distance on flooded pavement. Pavement grooves are found to be more effective in reducing braking distances at higher vehicle speeds. 8.3 3-Dimensional Truck Tire Modeling for Skid Resistance and Hydroplaning Speed Analysis Past researches suggest that hydroplaning and skid resistance behavior of truck tire is different from normal passenger cars, and it has been found that truck accidents due to lack of skid resistance or hydroplaning can occur in the normal operating speed range of trucks. Simulation models were developed for estimating truck hydroplaning and skid resistances respectively. The analysis shows that wheel load has significant effect on hydroplaning speed and as the wheel load decreases the hydroplaning speed decreases, implying that unladen trucks 190 Chapter are more prone to accidents because of low skid resistance during wet driving. The analysis showed that pavement grooves helps in raising skid resistance and hydroplaning. 8.4 Recommendation for Future Research The research has identified some areas which are recommended for further research to better understand the tire pavement interaction under wet conditions.  This research has considered modeling of hydroplaning and skid resistance only for locked wheels. Although locked wheel tire pavement interaction represents the worst case it could be extended to the modeling of rolling tire to estimate hydroplaning potential and skid resistance.  The current study made an attempt to measure the hydroplaning speed on grooved pavement surfaces. A similar approach can be adopted to analyze both skid resistance and hydroplaning on randomly textured pavement surfaces.  The current research studies the skid resistance of smooth passenger car tires and truck tires. This research can be further extended to study the hydroplaning and skid resistance of various aircraft tires.  Transverse grooving was found to be most effective in increasing skid resistance and hydroplaning speed. However, in normal highway operation this form of grooving is not adopted because of noise issues. Such issues related to noise can be addressed in future research. 191 References REFERENCES AASHTO (1994). A Policy on Geometric Design of Highways and Streets, 3rd Edition, Washington D.C. AASHTO (2004). A Policy on Geometric Design of Highways and Streets, 5th Edition, Washington D.C. ABAQUS Inc. (2003). ABAQUS 6.4 Analysis User‘s Manual, USA. ADINA R&D Inc. (2005). 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Simulation of the Aquaplane Problem, Computers and Structures, Vol. 64, N0. 5/6 pp. 1155-1164. 205 [...]... model on plane pavement 174 Figure 7.6 Comparison between experimental data and simulation 175 x Figure 7.7 Validation of truck tire simulation model on grooved pavement 176 Figure 7.8 Variation of traction force and fluid drag force at different speed 177 Figure 7.9 Relative contributions of traction force and fluid drag force towards skid resistance1 78 Figure 7.10 Hydroplaning speed variation with... literature on the mechanism of skid resistance and hydroplaning, and the different factors that affect hydroplaning and skid resistance It also identifies the areas of needed research  Chapter 3 provides the description about the development of a numerical model to measure the skid resistance and hydroplaning speed on grooved pavement  Chapter 4 presents the validation of the 3-dimensional finite element simulation. .. simulation model for skid resistance and hydroplaning analysis on grooved pavement surfaces for smooth passenger car tire  Chapter 5 characterizes variations in hydroplaning speeds and behavior of skid resistance of grooved pavements  Chapter 6 focuses on the prediction of stopping distance calculation based on the estimated skid resistance 3 Chapter 1  Chapter 7 presents the development and validation... dynamic hydroplaning and a dry contact zone exists with high shear stresses as shown in Figure 2.1 6 Chapter 2 2.1.1 Skid Resistance When a standard tire and standard test conditions are utilized in a measurement of wet- pavement traction, the results are reported as a measure of skid resistance of the pavement Skid resistance is therefore related to pavement characteristics and is a function of pavement. .. of pavement grooving have not been studied analytically 1.2 Objective The key objective of this research is to study quantitatively the beneficial effects of pavement grooving on vehicle hydroplaning and skid resistance using a numerical simulation model This will enable researchers and pavement engineers to better understand the mechanism of skid resistance and hydroplaning on vehicular tires on grooved. .. passenger car and truck tire skid resistances on grooved pavements with different groove dimensions under different operating conditions of wheel load, tire inflation pressure and water film thickness 1.4 Organization of Thesis The organization of the report would be as follows:  Chapter 1 provides the background of the study of hydroplaning and skid resistance, the objective and the scope of research... inflation pressure for longitudinally grooved pavements 179 Figure 7.11 Hydroplaning speed variation with tire inflation pressure for transversely grooved pavements 180 Figure 7.12 Hydroplaning speed variation with tire wheel load 181 Figure 7.13 Variation of skid resistance with sliding speed 182 Figure 7.14 Variation of skid resistance with tire inflation pressure 183 Figure 7.15 Variation of skid resistance. .. in skid resistance and increase in hydroplaning speed of creating pavement grooving in terms of groove depth, spacing and orientation are still unknown to the pavement engineer The research carried out by Ong et al (2006) on measurement of skid resistance evaluation provides a good insight into the hydroplaning and skid resistance mechanism on a smooth pavement surface However, the corresponding beneficial... This is followed by a review of the theoretical and empirical approaches adopted by researchers in modeling the skid resistance and hydroplaning problem Finally, a summary of the needs of research in the areas of skid resistance and hydroplaning studies, and proposed scope of study for the present research are presented 2.1 Mechanism of Skid Resistance and Hydroplaning Skid resistance is the shear force... of 3-dimensional model on longitudinally grooved pavement surface 94 Figure 4.3 Validation of 3-dimensional FLUENT model on transversely grooved pavement surface 95 Figure 4.4 3-Dimensional finite element ADINA simulation model for grooved pavement surface 96 Figure 4.5 Validation of ADINA model against experimental results for transversely grooved pavement surface 97 Figure 4.6 Validation of ADINA model . characteristics of hydroplaning and skid resistance of passenger cars and trucks on highway pavements by means of numerical simulation. The first part of research deals with the study of hydroplaning of. Effects of Vehicle Speed on Skid Resistance 163 7.5.5 Effects of Tire Inflation Pressure on Skid Resistance 164 7.5.6 Effects of Wheel Load on Skid Resistance 165 7.6 Summary 166 8 CONCLUSIONS AND. Truck Tire on Grooved Pavement 158 7.4 Mechanism of Skid Resistance 159 7.4.1 Forces Contributing to Skid Resistance 160 7.5 Variation Characteristics of Hydroplaning and Skid Resistance of Truck

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