Academic literature on the topic 'Interaction tire-pavement'
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Journal articles on the topic "Interaction tire-pavement"
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Hernandez, Jaime A., and Imad L. Al-Qadi. "Tire–pavement interaction modelling: hyperelastic tire and elastic pavement." Road Materials and Pavement Design 18, no. 5 (July 19, 2016): 1067–83. http://dx.doi.org/10.1080/14680629.2016.1206485.
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Kaliske, Michael, Ines Wollny, Ronny Behnke, and Christoph Zopf. "Holistic Analysis of the Coupled Vehicle-Tire-Pavement System for the Design of Durable Pavements." Tire Science and Technology 43, no. 2 (April 1, 2015): 86–116. http://dx.doi.org/10.2346/tire.15.430203.
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ABSTRACT Pavements—an important part of worldwide infrastructure—are exposed to increasing traffic loads, new tire and vehicle concepts, and climate change. The future design of durable pavement structures requires a deep knowledge of the interactions in the coupled system of vehicle, tire, and pavement and the structural behavior of each subsystem. This paper includes recent research results in the field of tire and pavement modeling and their interaction. Furthermore, the concept for a holistic analysis of the coupled vehicle-tire-pavement system for the design of durable pavements is presented. For a realistic and numerical efficient computation of tire-pavement interaction that considers rolling contact, both subsystems are modeled using the finite element (FE) method based on an arbitrary Lagrangian Eulerian (ALE) formulation that includes inelastic material descriptions. Additionally, thermo-mechanical effects are considered for the tire computation. The base of the structural FE-ALE pavement model is the realistic numerical description of the elastic, viscous, and plastic behavior of asphalt mixes. Although initial results in the field of tire-pavement interaction were reached, much research has to be carried out to gain deeper knowledge of the coupled vehicle-tire-pavement system that includes detailed models of the subsystems and their interaction, as well as experimental investigations. The research group FOR 2089 will deal with this topic and will take the different length and timescales in particular into account.
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Zhang, Qingtao, Lingxiao Shangguan, Tao Li, Xianyong Ma, Yunfei Yin, and Zejiao Dong. "Tire–Pavement Interaction Simulation Based on Finite Element Model and Response Surface Methodology." Computation 11, no. 9 (September 18, 2023): 186. http://dx.doi.org/10.3390/computation11090186.
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Acquiring accurate tire–pavement interaction information is crucial for pavement mechanical analysis and pavement maintenance. This paper combines the tire finite element model (FEM) and response surface methodology (RSM) to obtain tire–pavement interaction information and to analyze the pavement structure response under different loading conditions. A set of experiments was initially designed through the Box–Behnken design (BBD) method to obtain input and output variables for RSM calibration. The resultant RSM was evaluated accurately using the analysis of variance (ANOVA) approach. Then, tire loading simulations were conducted under different magnitudes of static loading using the optimal parameter combination obtained from the RSM. The results show that the deviations between the simulations and the real test results were mostly below 5%, validating the effectiveness of the tire FEM. Additionally, three different dynamic conditions—including free rolling, full brake, and full traction—were simulated by altering the tire rolling angle and translational velocities. Finally, the pavement mechanical response under the three rolling conditions was analyzed based on the tire–pavement contact feature.
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Zhu, Shengze, Xiuyu Liu, Qingqing Cao, and Xiaoming Huang. "Numerical Study of Tire Hydroplaning Based on Power Spectrum of Asphalt Pavement and Kinetic Friction Coefficient." Advances in Materials Science and Engineering 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/5843061.
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Hydroplaning is a driving phenomenon threating vehicle’s control stability and safety. It happens when tire rolls on wet pavement with high speed that hydrodynamic force uplifts the tire. Accurate numerical simulation to reveal the mechanism of hydroplaning and evaluate the function of relevant factors in this process is significant. In order to describe the friction behaviors of tire-pavement interaction, kinetic friction coefficient curve of tire rubber and asphalt pavement was obtained by combining pavement surface power spectrum and complex modulus of tread rubber through Persson’s friction theory. Finite element model of tire-fluid-pavement was established in ABAQUS, which was composed of a 225-40-R18 radial tire and three types of asphalt pavement covered with water film. Mechanical responses and physical behaviors of tire-pavement interaction were observed and compared with NASA equation to validate the applicability and accuracy of this model. Then contact force at tire-pavement interface and critical hydroplaning speed influenced by tire inflation pressure, water film thickness, and pavement types were investigated. The results show higher tire inflation pressure, thinner water film, and more abundant macrotexture enhancing hydroplaning speed. The results could be applied to predict hydroplaning speed on different asphalt pavement and improve pavement skid resistance design.
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Ding, Yangmin, and Hao Wang. "BEM-FEM Model for Truck Tire-Pavement Interaction Noise Prediction." Tire Science and Technology 44, no. 3 (July 1, 2016): 212–24. http://dx.doi.org/10.2346/tire.440301.
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ABSTRACT Tire-pavement interaction noise has become the dominant source of traffic noise for vehicular speeds greater than 30 mph, as the automotive engine and exhaust system noise are being effectively controlled. Compared with field testing for tire-pavement sound pressure measurement, this study develops an efficient boundary element method (BEM)/finite element method (FEM) model for tire-pavement interaction noise prediction for typical truck tires. The tire structure and modal characteristics of a semisteel radial truck tire are computed using the FEM, and the solution for the radiation acoustic fields caused by the vibration under harmonic excitations is based on the BEM. Application of this model is verified for simulation of the noise reduction performance of porous asphalt concrete with different porosity values. These results demonstrate the effectiveness of tire-pavement interaction noise prediction with the BEM/FEM model. Further research will be conducted with the noise excitation resulting from pavement surface texture profiles.
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Machemehl, Randy B., Feng Wang, and Jorge A. Prozzi. "Analytical Study of Effects of Truck Tire Pressure on Pavements with Measured Tire–Pavement Contact Stress Data." Transportation Research Record: Journal of the Transportation Research Board 1919, no. 1 (January 2005): 111–20. http://dx.doi.org/10.1177/0361198105191900112.
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Truck tire inflation pressure plays an important role in the tire–pavement interaction process. As a conventional approximation method in many pavement studies, tire–pavement contact stress is frequently assumed to be uniformly distributed over a circular contact area and to be simply equal to the tire pressure. However, recent studies have demonstrated that the tire–pavement contact stress is far from uniformly distributed. Measured tire–pavement contact stress data were input into an elastic multilayer pavement analysis program to compute pavement immediate responses. Two asphalt concrete pavement structures, a thick pavement and a thin pavement, were investigated. Major pavement responses at locations in the pavement structures were computed with the measured tire–pavement contact stress data and were compared with the conventional method. The computation results showed that the conventional method tends to underestimate pavement responses at low tire pressures and to overestimate pavement responses at high tire pressures. A two-way analysis of variance model was used to compare the pavement responses to identify the effects of truck tire pressure on immediate pavement responses. Statistical analysis found that tire pressure was significantly related to tensile strains at the bottom of the asphalt concrete layer and stresses near the pavement surface for both the thick and thin pavement structures. However, tire pressure effects on vertical strain at the top of the subgrade were minor, especially in the thick pavement.
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Li, Tan, Ricardo Burdisso, and Corina Sandu. "Effect of Rubber Hardness and Tire Size on Tire-Pavement Interaction Noise." Tire Science and Technology 47, no. 4 (October 1, 2019): 258–79. http://dx.doi.org/10.2346/tire.18.460412.
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ABSTRACT Tire-pavement interaction noise (TPIN) is a dominant noise source for passenger cars and trucks above 25 mph (40 km/h) and above 43 mph (70 km/h), respectively. TPIN is generated due to excitations of the tread pattern and pavement texture. For the same tread pattern and pavement texture at the same speed, TPIN might also be influenced by the tire structure (e.g., the tread rubber hardness and tire size). In the present study, 42 tires with different rubber hardnesses and/or tire sizes were tested at five different speeds (45–65 mph, i.e., 72–105 km/h) on a nonporous asphalt pavement (a section of U.S. Route 460, both eastbound and westbound). An on-board sound intensity system was instrumented on the test vehicle to collect the tire noise data at both the leading edge and the trailing edge of the contact patch. An optical sensor recording the once-per-revolution signal was also installed to monitor the vehicle speed and, more importantly, to provide the data needed to perform the order-tracking analysis to break down the tire noise into two components. These two components are the tread pattern noise and the non–tread pattern noise. It is concluded that for the nonporous asphalt pavement tested, the non–tread pattern noise increases with rubber hardness by ∼0.23 dBA/Shore A. The tire carcass width (section width plus two times section height) influences the central frequencies of the non–tread pattern noise spectrum; the central frequencies decrease as the tire carcass width increases.
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Ruhala, Richard, Courtney Burroughs, and Laura Ruhala. "Comparison of roadwheel and roadway noise generated by a mono-pitch tire tread." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 3 (August 1, 2021): 3571–83. http://dx.doi.org/10.3397/in-2021-2455.
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Tire-pavement interaction noise (TPIN, aka tire-road noise or tyre-road noise) is most efficiently measured in acoustically controlled laboratories with large diameter roadwheels (drums) that have surface treatments which replicate some pavement properties, especially when comparing the acoustic performance of different tires. However, it is not clear how closely the roadwheel replicates the road surface, including differences that include road curvature and mechanical impedance of pavements. On the other hand, measuring on a moving vehicle with a microphone array presents it own set of challenges. In this study, a Nearfield Acoustical Holography (NAH) method is used to measure tire/pavement interaction noise on roadways and roadwheels with similar smooth pavement and rough pavement properties. Sound intensity fields, overall sound power levels, and sound pressure levels are reconstructed very close to the tire surface. An experimental passenger car tire with a mono-pitch tread is used in this study. The experimental tire has three circumferential grooves and 64 equally spaced transverse grooves cut into the tread. Differences in sound fields and levels between roadway and roadwheel test conditions for this tire are shown.
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Yang, Jia Sheng, Tien Fang Fwa, Ghim Ping Ong, and Chye Heng Chew. "Finite-Element Analysis of Effect of Wide-Base Tire on Tire-Pavement Noise." Advanced Materials Research 723 (August 2013): 105–12. http://dx.doi.org/10.4028/www.scientific.net/amr.723.105.
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This paper investigates the effect of tire width to tire-pavement noise. A tire-pavement noise numerical model in the near field has been developed using the three-dimensional finite-element method, and performed in the standard FEM code package ADINA. The model is composed of two main components: a rolling tire pavement interaction model and a sound propagation model. The tire width studied ranged from 180 to 210 mm. The computer simulation model was calibrated and validated using experimental results made available from past research. From the simulation results, it was found that tire width has a noticeable effect on tire-pavement noise. In particular, it was found that tires with wider base were found to produce higher noise levels.
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Yu, Miao, Yao Kong, Zhanping You, Jue Li, Liming Yang, and Lingyun Kong. "Anti-Skid Characteristics of Asphalt Pavement Based on Partial Tire Aquaplane Conditions." Materials 15, no. 14 (July 17, 2022): 4976. http://dx.doi.org/10.3390/ma15144976.
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This study presented a finite element model of radial tire–asphalt pavement interaction using ABAQUS 6.14 software to investigate the skid resistance properties of asphalt pavement under partial tire aquaplane conditions. Firstly, the pavement profile datum acquired by laser scanning were imported to Finite Element Analysis (FEA) software to conduct the pavement modeling. Secondly, a steady state rolling analysis of a tire on three types of asphalt pavements under drying conditions was carried out. Variation laws of the friction coefficient of the radial tire on different pavements with different pavement textures, tire pressures, and loads on the tire were examined. Subsequently, calculation results of the steady state rolling analysis were transmitted to dynamic explicit analysis, and an aquaplane model of a radial tire on asphalt pavements was built by inputting the flow Euler grids. The tire–pavement adhesive characteristics under partial aquaplane conditions are discussed regarding the aquaplane model. Influences of the thickness of water film, the texture of asphalt pavement, and the rolling speed of the tire on the vertical pavement-tire contact force are analyzed. It is found that the vertical contact force between open graded friction course (OGFC) pavement and tire is the highest, followed by stone mastic asphalt (SMA) pavement and dense graded asphalt concrete (AC) pavement surface. The vertical contact force between tire and pavement will be greatly reduced, even with increasing speed or water film thickness. As tire speed increases from 70 km/h to 130 km/h, the tire–pavement contact force is reduced by about 25%. Moreover, when the thickness of water film increases from 0 (dry condition) to 4 mm and then to 12 mm, the vertical contact force reduced 50% and 15%, respectively, compared with under the dry contact condition. This study provided a key theoretical reference for safe driving on wet pavements.
Dissertations / Theses on the topic "Interaction tire-pavement"
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Feng, Jianxiong. "Separation of tread-pattern noise in tire-pavement interaction noise." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/76649.
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Tire-pavement interaction noise is one of the dominant sources of vehicle noise, and one of the most significant sources of urban noise pollution. One critical generation mechanism of tire-pavement interaction noise is tire tread excitation. The tire tread contributes to the tire-pavement interaction noise mainly through two mechanisms: (1) tread block impact, and (2) the compression and expansion of the air in the tread groove at the contact patch. The tread pattern is the critical part of the tire design since it can be easily modified. Hence, the main focus of this study is to quantify the tread pattern contribution in total tire-pavement interaction noise. To achieve this goal, the noise produced by the tread pattern is separated from the total tire-pavement interaction noise. Since the tread pattern excitation is periodic with tire rotation, the noise produced by the tread is assumed to be related to the tire rotation. Hence, the order domain synchronous averaging method is used in this study to separate and quantify the tread pattern contribution to the total tire-pavement interaction noise. The experiment has been carried out using an On-Board-Sound-Intensity (OBSI) system. Five tires were tested including the Standard Reference Test Tire (SRTT). Compared to the conventional OBSI system, an optical sensor was added to the system to monitor the tire rotation. The once per revolution signal provided by the optical sensor is used to identify the noise signals associate to each revolution.
In addition to the averaging method using optical signals, other data processing techniques have been investigated for separating the tread-pattern noise without utilizing the once per revolution signal. These techniques are autocorrelation analysis, a frequency domain filter, principal component analysis, and independent component analysis.
In the tread-pattern noise generation, the tread profile is the most important input parameter. To characterize the tread profile, the tread pattern spectral content and air volume velocity spectral content for all the five tires are computed. Then, the tread pattern spectrum and the air volume velocity spectrum are both correlated with the separated tread-pattern noise by visual inspection of the spectra shape.Master of Science
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McBride, Granda Sterling Marcelo. "A Wave Propagation Approach for Prediction of Tire-Pavement Interaction Noise." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/93763.
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Induced vibrations due to tire-pavement interaction are one of the main sources of vehicle exterior noise, especially near highways and main roads where traveling speeds are above 50 kph. Its dominant spectral content is approximately within 500-1500 Hz. However, accurate prediction tools within this frequency range are not available. Current methods rely on structural modeling of the complete tire using finite elements and modal expansion approaches that are accurate only at low frequencies. Therefore, alternative physically-based models need to be developed. This work proposes a new approach that incorporates wave behavior along the tire's circumferential direction, while modes are assumed along its transversal direction. The formulation for new infinite plate and cylindrical shell structural models of a tire is presented. These are capable of accounting for orthotropic material properties, different structural parameters between the belt and sidewalls, inflation pressure, and rotation of the tire. In addition, a new contact model between the pavement and the tire is developed presented. The excitation of the tire due to the impact of the tread-pattern blocks in the contact patch region is characterized and coupled to the structure of the tire. Finally, a Boundary Element Method is implemented in order to compute the vibration-induced noise produced by the tire. All the modeling components are combined in a single prediction tool named Wave Pro Tire. Lastly, simulated responses and validation cases are presented in terms of harmonic responses, Frequency Response Functions (FRF), and produced noise.Doctor of Philosophy
Induced vibrations due to tire-pavement interaction are one of the main sources of vehicle exterior noise, especially near highways and main roads where traveling speeds are above 50 kph. Accurate prediction tools are not currently available. Therefore, new physically based models need to be developed. This work proposes a new approach to model the tire’s structure with a formulation that accounts for multiple physical phenomena. In addition, a model that simulates the contact between the pavement and the tire’s tread is presented. Finally, the vibrations are coupled to the produced noise in a single prediction tool named Wave Pro Tire. This work also includes simulated responses and validation cases.
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Spies, Lucas Daniel. "Machine-Learning based tool to predict Tire Noise using both Tire and Pavement Parameters." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/91407.
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Tire-Pavement Interaction Noise (TPIN) becomes the main noise source contributor for passenger vehicles traveling at speeds above 40 kph. Therefore, it represents one of the main contributors to noise environmental pollution in residential areas nearby highways. TPIN has been subject of exhaustive studies since the 1970s. Still, almost 50 years later, there is still not an accurate way to model it. This is a consequence of a large number of noise generation mechanisms involved in this phenomenon, and their high complexity nature. It is acknowledged that the main noise mechanisms involve tire vibration, and air pumping within the tire tread and pavement surface. Moreover, TPIN represents the only vehicle noise source strongly affected by an external factor such as pavement roughness. For the last decade, new machine learning algorithms to model TPIN have been implemented. However, their development relay on experimental data, and do not provide strong physical insight into the problem. This research studied the correct configuration of such tools. More specifically, Artificial Neural Network (ANN) configurations were studied. Their implementation was based on the problem requirements (acoustic sound pressure prediction). Moreover, a customized neuron configuration showed improvements on the ANN TPIN prediction capabilities. During the second stage of this thesis, tire noise test was undertaken for different tires at different pavements surfaces on the Virginia Tech SMART road. The experimental data was used to develop an approach to account for the pavement profile when predicting TPIN. Finally, the new ANN configuration, along with the approach to account for pavement roughness were complemented using previous work to obtain what is the first reasonable accurate and complete tool to predict tire noise. This tool uses as inputs: 1) tire parameters, 2) pavement parameters, and 3) vehicle speed. Tire noise narrowband spectra for a frequency range of 400-1600 Hz is obtained as a result.Master of Science
Tire-Pavement Interaction Noise (TPIN) becomes the main noise source contributor for passenger vehicles traveling at speeds above 40 kph. Therefore, it represents one of the main contributors to noise environmental pollution in residential areas nearby highways. TPIN has been subject of exhaustive studies since the 1970s. Still, almost 50 years later, there is still not an accurate way to model it. This is a consequence of a large number of noise generation mechanisms involved in this phenomenon, and their high complexity nature. It is acknowledged that the main noise mechanisms involve tire vibration, and air pumping within the tire tread and pavement surface. Moreover, TPIN represents the only vehicle noise source strongly affected by an external factor such as pavement roughness. For the last decade, machine learning algorithms, based on the human brain structure, have been implemented to model TPIN. However, their development relay on experimental data, and do not provide strong physical insight into the problem. This research focused on the study of the correct configuration of such machine learning algorithms applied to the very specific task of TPIN prediction. Moreover, a customized configuration showed improvements on the TPIN prediction capabilities of these algorithms. During the second stage of this thesis, tire noise test was undertaken for different tires at different pavements surfaces on the Virginia Tech SMART road. The experimental data was used to develop an approach to account for the pavement roughness when predicting TPIN. Finally, the new machine learning algorithm configuration, along with the approach to account for pavement roughness were complemented using previous work to obtain what is the first reasonable accurate and complete computational tool to predict tire noise. This tool uses as inputs: 1) tire parameters, 2) pavement parameters, and 3) vehicle speed.
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Li, Tan. "Tire-Pavement Interaction Noise (TPIN) Modeling Using Artificial Neural Network (ANN)." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/87417.
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Tire-pavement interaction is a dominant noise source for passenger cars and trucks above 25 mph (40 km/h) and 43 mph (70 km/h), respectively. For the same pavement, tires with different tread pattern and construction generate noise of different levels and frequencies. In the present study, forty-two different tires were tested over a range of speeds (45-65 mph, i.e., 72-105 km/h) on a non-porous asphalt pavement (a section of U.S. Route 460, both eastbound and westbound). An On-Board Sound Intensity (OBSI) system was instrumented on the test vehicle to collect the tire noise data at both the leading and trailing edge of the tire contact patch. An optical sensor recording the once-per-revolution signal of the wheel was also installed to monitor the vehicle speed and, more importantly, to provide the data needed to perform the order tracking analysis in order to break down the tire noise into two components. These two components are: the tread pattern and the non-tread pattern noise. Based on the experimental noise data collected, two artificial neural networks (ANN) were developed to predict the tread pattern (ANN1) and the non-tread pattern noise (ANN2) components, separately. The inputs of ANN1 are the coherent tread profile spectrum and the air volume velocity spectrum calculated from the digitized 3D tread pattern. The inputs of ANN2 are the tire size and tread rubber hardness. The vehicle speed is also included as input for the two ANN's. The optimized ANN's are able to predict the tire-pavement interaction noise well for different tires on the pavement tested. Another outcome of this work is the complete literature review on Tire-Pavement Interaction Noise (TPIN), as an appendix of this dissertation and covering ~1000 references, which might be the most comprehensive compilation of this topic.PHD
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Wang, Guangming. "Effects of truck tire type and tire-pavement interaction on top-down cracking and instability rutting." [Gainesville, Fla.] : University of Florida, 2009. http://purl.fcla.edu/fcla/etd/UFE0041004.
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Rajapakshe, Madhura Priyanga Nishshanke. "Physically Meaningful Harmonization of Tire/Pavement Friction Measurement Devices." Scholar Commons, 2011. http://scholarcommons.usf.edu/etd/3303.
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Accurate characterization and evaluation of tire/pavement friction is critical in assuring runway and highway safety. Historically, Pavement Friction Measurement Devices (PFMDs) employing different measuring mechanisms have been used to evaluate tire/pavement friction. They yield significantly disparate friction coefficients under the same contact conditions. Currently, an empirically developed data harmonization method based on a reference device (Dynamic Friction Tester (DFT)) is used in an attempt to overcome the disparities between the measurements using various different PFMDs. However, this method, which has been standardized by the American Society for Testing and Materials (ASTM E1960), has been criticized for its inconsistency by researchers and runway/highway operations personnel.
The objective of this dissertation research was to develop a systematic and physically intuitive harmonization method for PFMDs that will improve the comparability of their data. As a foundation for such a harmonization, the LuGre tire model that employs physically meaningful parameters to represent the main attributes of tire/pavement friction was evaluated and validated. Measurements of tire/pavement friction by three widely used PFMDs; Locked Wheel Skid Trailer (LWST), Runway Friction Tester (RFT) and DFT, were accurately predicted using nonlinear optimization of LuGre model parameters. The LuGre model was found to be superior compared to the model used in the current ASTM E1960 standardization procedure for predicting PFMD measurements.
A sensitivity analysis was performed to identify the relative significance of the LuGre model parameters in characterizing tire/pavement friction, and to study the effects of variation of those parameters on predicted frictional behavior. A set of laboratory tire experiments was designed and performed to validate the physical significance of LuGre tire model parameters and to study how they behave under typical load, inflation pressure, excitation frequency, and amplitude conditions. An empirical method was developed to accommodate the effects of water film thickness on tire/pavement friction in the LuGre model. The results of the sensitivity analysis and the experiments to directly estimate the model parameters were used to identify and quantify appropriate modifications to the measurement mechanisms of PFMDs that can be introduced to improve the comparability of their results. Friction experiments performed after introducing such modifications to the LWST showed an average reduction of 20% in the deviations between the results of LWST and RFT measurements.
The research carried out in this dissertation is significant because it: (i) identified the deficiencies in the current method for harmonizing PFMD measurements and the underlying reasons for these deficiencies, (ii) emphasized the importance of a standardization approach that regulates the physical condition of PFMDs, in order to achieve universal comparability of tire/pavement friction measurements, (iii) validated that the LuGre tire model is a tire/pavement friction model capable of facilitating a better standardization approach, and, (iv) initialized the development of a physically meaningful harmonization procedure for PFMDs.
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Ambroziak, Matt J. "Effects of pavement type on traffic noise levels." Ohio : Ohio University, 1999. http://www.ohiolink.edu/etd/view.cgi?ohiou1176229443.
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Hammoud, Oussama. "Étude de l’agressivité des pneumatiques sur les couches de roulement des structures routières." Electronic Thesis or Diss., Strasbourg, 2023. http://www.theses.fr/2023STRAD055.
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Le projet ANR BINARY vise à améliorer la compréhension et l'évaluation des mécanismes de détérioration des couches de roulement de chaussées sous trafic. Ce projet se concentre sur : i) l'arrachement des granulats d’enrobé bitumineux ; ii) la fissuration descendante ; iii) essayer de comprendre les contraintes et déformations impliquées ; iv) étudier l'influence des interfaces entre les couches d'enrobé ; et v) améliorer la prédiction de leur durée de vie.Avec le vieillissement du réseau routier, il est crucial d'avoir une meilleure connaissance des mécanismes de dégradation des couches de roulement. Les normes actuelles pour le dimensionnement des structures de chaussée couvrent l'adhérence, la texture et l'uniformité, mais ne définissent pas des critères mécaniques pour garantir la durabilité des couches subissant les charges du trafic.Cette thèse cherche à approfondir notre connaissance des matériaux bitumineux, notamment les couches de surface. Elle vise aussi à comprendre comment les conditions de charge, la température et la vitesse affectent ces matériaux, neufs et vieillis. Des tests expérimentaux ont été effectués et une modélisation combine les approches des éléments finis (FEM) et des éléments discrets (DEM) pour reproduire ces essais de laboratoire. Enfin, l'interaction pneu-chaussée fait l'objet d'une étude avec une nouvelle approche numérique pour offrir une simulation en conditions plus réalistesThe ANR BINARY project aims to enhance the understanding and assessment of the mechanisms causing deterioration in road pavement layers under traffic. This project focuses on i) the stripping of bituminous mix aggregates; ii) downward cracking; iii) attempting to comprehend the involved stresses and deformations; iv) studying the influence of interfaces between asphalt layers; and v) improving the prediction of their service life.With the aging of the road network, it is crucial to have a better understanding of the degradation mechanisms of pavement layers. Current standards for designing road structures cover adhesion, texture, and uniformity but do not define mechanical criteria to ensure the durability of layers subjected to traffic loads.This thesis seeks to deepen our knowledge of bituminous materials, especially surface layers. It also aims to understand how loading conditions, temperature, and speed affect these materials, both when new and aged. Experimental tests have been conducted, and a modeling approach combines finite element (FEM) and discrete element (DEM) methods to replicate these laboratory tests. Finally, tire-road interaction is studied with a novel numerical approach to provide a simulation under more realistic conditions
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Santos, Luís Gabriel Curado dos. "Establishment of an integrated analysis methodology of tire-pavement interaction." Master's thesis, 2019. http://hdl.handle.net/10773/28152.
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Approximately 4940 thousand tonnes of tires are produced annually in Europe. Some of the particles emitted by tire wear can have a negative impact on the environment. In addition, tires are negatively influenced by driving dynamics, and the risk of aquaplaning can have fatal consequences. Themainobjectiveofthepresentworkisthestudyofanintegratedanalysis of the tire-pavement interaction phenomenon, based on the evaluation of the tire wear during rolling, the changes in the friction coefficient and the tire inflation pressure. First, a bibliographic search was performed to gather information about the physics behind the motion of a tire, representative models of a tire and, finally, the Archard wear model for simulating the tire tread wear. In the second part of the dissertation, an axyssimetric model of the tire was built in order to perform the Finite Element Analysis (FEA), using Abaqus software. In the third part, pressurization of the tire model was carried out and then an imposed displacement step was induced in order to compress the tire tread against the surface. After the compressing step, a mathematical model based on the Archard wear model was initiated as a sub-routine for the calculation (and for prior visualization) of the wear occurred in the tire. The obtained wear depth, after each run of a varying inflation pressure and friction coefficient, provided a clear demonstration of the direct relationship between the friction coefficient and the ablation rate of a surface. Furthermore, mathematical equations were built for each friction coefficients in order to predict wear for different friction coefficients, and for different inflation pressures.Cerca de 4940 mil toneladas de pneus são produzidos anualmente na Europa. Algumas das partículas emitidas pelo desgaste dos pneus podem ter um impacto negativo sobre o meio ambiente. Além disso, os pneus são negativamente influenciados pela dinâmica de condução, e o risco de aquaplanagem pode ter consequências fatais. O objetivo principal do trabalho apresentado é o estudo de um sistema de análise integrada do fenómeno de interação pneu-pavimento, baseado na avaliação do desgaste dos pneus durante o rolamento, alterando o coeficientedeatritodopavimentoeapressãodospneus. Primeiro, foirealizada uma busca bibliográfica com o intuito de obter informações sobre a física pordetrásdomovimentodeumpneu,modelosrepresentativosdeumpneu e, finalmente, do modelo de desgaste de Archard para simular o desgaste do piso do pneu. Nasegundapartedadissertação, ummodeloaxissimétricodopneufoiconstruídopararealizaraAnálisedeElementosFinitos(AEF)usandoosoftware Abaqus. Na terceira parte, foi realizada a pressurização do modelo de pneu e, em seguida, foi induzido o deslocamento de uma carga a fim de comprimir o pisodopneucontraopavimento. Apósaetapadecompressão, ummodelo matemático baseado no modelo de desgaste de Archard foi iniciado como uma sub-rotina para o cálculo e visualização prévia do desgaste ocorrido no pneu. A profundidade de desgaste obtida, após cada execução de uma pressão de insuflação varíavel e um coeficiente de atrito variável, forneceu uma demonstração clara da relação direta entre o coeficiente de atrito e a taxa de ablação de uma superfície. Além disso, foram desenvolvidas equações matemáticasparacadacoeficientedeatrito,afimdepreverodesgastedentro de cada coeficiente de atrito para cada pressão de insuflação diferente.
Mestrado em Engenharia Mecânica
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Cunha, Catarina Araújo Cupertino da. "Perceção de ruído de tráfego rodoviário." Master's thesis, 2013. http://hdl.handle.net/1822/30706.
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Dissertação de mestrado integrado em Engenharia Civil (área de especialização em Perfil de Planeamento e Infraestruturas Viárias)O ruído do tráfego rodoviário é um dos principais contribuintes para o ruído ambiental, podendo causar consideráveis impactes na saúde pública e qualidade de vida das populações. No entanto, o ruído rodoviário levanta várias questões pois, se por um lado está associado a vários problemas de saúde e bem-estar, por outro lado a sua falta constitui um risco para a segurança dos utilizadores da estrada. Assim, torna-se imprescindível o estudo e a avaliação acústica dos pavimentos rodoviários, visto que as suas características superficiais atuam de forma ativa nos mecanismos de geração do ruído pneu-pavimento. O trabalho desenvolvido nesta dissertação tem por objetivo estudar as características acústicas de vários pavimentos rodoviários, sob o ponto de vista da psicoacústica, com recurso à metodologia de aquisição do ruído pneu-pavimento em contínuo, o método CPX, sendo por isso uma abordagem inovadora com vantagens metodológicas importantes. Este trabalho apresenta, para oito tipos de pavimento diferentes, a sua caracterização acústica através de três indicadores acústicos (LAmax, LAeq e loudness) em função da velocidade de circulação. Cada variável foi relacionada com as respostas de avaliação da intensidade sonora de indivíduos submetidos aos ruídos adquiridos. A análise dos resultados é apresentada sob três abordagens, a análise das variáveis acústicas dos ruídos adquiridos, a análise dos resultados da tarefa de avaliação da intensidade do ruído pneu-pavimento e a análise dos diferentes modelos de cálculo do indicador psicoacústico loudness. Verificou-se que os níveis de ruído aumentam significativamente com a velocidade, e que os pavimentos não betuminosos são os mais ruidosos, particularmente os cubos de granito. Quanto às superfícies dos pavimentos com camada de desgaste em mistura betuminosa, o microaglomerado betuminoso destaca-se com os níveis de ruído superiores. Relativamente aos indicadores acústicos, o loudness mostrou ser o que melhor se ajusta às respostas de intensidade, sendo o Loudness CF o modelo de cálculo que melhor explica as respostas dos indivíduos inquiridos.
The road traffic noise is one of the major contributors to environmental noise, which can cause considerable impacts on public health and quality of life of populations. However, road noise raises several questions because, if on one hand is associated with several health problems and welfare, on the other hand their lack constitutes a risk to the safety of road users. Thus, it becomes essential the study and the acoustic evaluation of road pavements, since their surface characteristics actively influence the generation mechanisms of tire-pavement noise. The work in this thesis aims to study the acoustic characteristics of several road surfaces, from the point of view of psychoacoustics, using a methodology to acquire continuously the tirepavement noise, the CPX method, so it is an innovative approach which leads to important methodological advantages. This work presents the acoustic characterization of eight different types of pavement by using three acoustic indicators (LAmax, LAeq and loudness) as a function of speed. Each variable was related to the sound intensity evaluation responses of individuals subjected to the acquired noise. The results analysis was done according to the following three approaches: analysis of acoustic variables of the acquired noises, analysis of the results of the tire-pavement noise intensity assessment task, and the analysis of different models to calculate the psychoacoustic indicator - loudness. It was found that noise levels significantly increase with speed, and not bituminous pavements are the noisiest, specially the ones made of granite cubes. Regarding the pavements surfaces with bituminous mixtures, the micro surfacing asphalt paving stands out with higher noise levels. Regarding the acoustic indicator, loudness proved to be the best fit to the responses of intensity, and the calculation model Loudness CF is the best explaining the responses of the inquired individuals.
Book chapters on the topic "Interaction tire-pavement"
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Kaliske, Michael, Ronny Behnke, Felix Hartung, and Ines Wollny. "Multi-physical and Multi-scale Theoretical-Numerical Modeling of Tire-Pavement Interaction." In Coupled System Pavement - Tire - Vehicle, 1–39. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75486-0_1.
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Friederichs, Jan, Guru Khandavalli, and Lutz Eckstein. "Experimental and Simulative Methods for the Analysis of Vehicle-Tire-Pavement Interaction." In Coupled System Pavement - Tire - Vehicle, 163–205. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75486-0_5.
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"Front Matter." In Vehicle-Road Interaction, FM1—FM7. ASTM International100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959, 1994. http://dx.doi.org/10.1520/stp13243s.
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Most of the problems associated with the safety, economy, and overall quality of road transportation are affected by the characteristics of both roads and vehicles and by the manner in which these two dynamic systems interact. Unlike other publications that deal with either vehicles or roads, STP 1225 places equal emphasis on the vehicle and the roadway. 16 peer-reviewed papers written by top researchers in the field cover: • Modeling and Simulation of Vehicle Dynamics and Vehicle-Road Dynamic Interaction • Laboratory and Field Tests of Vehicle-Induced Pavement Ladings • Tire Characteristics • Ride Quality and Road Roughness • Advances in Vehicle Suspension Design and Dontrol • Noise Emission due to Vehicle-Tire-Road Interaction • and Fuel Efficiency and Rolling Resistance.
Conference papers on the topic "Interaction tire-pavement"
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Hegmon, Rudolph R. "Tire-Pavement Interaction." In SAE International Congress and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1987. http://dx.doi.org/10.4271/870241.
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Kim, Kwangwon, Jaehyung Ju, Doo-Man Kim, and Swangwa Rhie. "Finite Element Analysis of Tire and Pavement Interaction." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47290.
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Nonlinear material models of a tire and a pavement appear to be important to precisely evaluate both tire performance and stresses of a pavement. In this paper, nonlinear tire and pavement material models are used and their contract pressures of a tire and stresses of a pavement are investigated. The results with the nonlinear material models are compared with those of simplified tire and pavement models. Finite element (FE) analysis with ABAQUS is used for simulating four different interaction models of tire and pavement. An interaction model with a hyperelastic tire and an elasto-viscoplastic pavement shows accurate contract pressures of a tire and stress distributions of a pavement.
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Smith, Harry A. "Synopsis of Tire-Pavement Interaction Research." In SAE International Truck and Bus Meeting and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1989. http://dx.doi.org/10.4271/892455.
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Kim, Seunghye, Kwangwon Kim, Jaehyung Ju, and Doo-Man Kim. "Nonlinear Material Modeling of a Truck Tire, Pavement and its Effect on Contact Stresses." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70664.
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For an accurate evaluation of the failure stress of tire and pavement materials, both the tire and pavement need to be modeled as nonlinear materials. In this study, a hyperelastic model of a truck tire and an elasto-viscoplastic model for pavement are implemented and their interaction effect on contact stresses is investigated. Finite element (FE) analysis with ABAQUS is used to simulate the interaction models of the truck tire and pavement. The interaction of hyperelastic and elasto-viscoplastic models for a truck tire and pavement shows accurate contact pressure for the truck tire and accurate stress distribution of the pavement.
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Xia, Kaiming. "Finite Element Modeling of Dynamic Tire/Pavement Interaction." In Pavements and Materials: Characterization and Modeling Symposium at EMI Conference 2010. Reston, VA: American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41129(385)18.
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Zegard, Amou, Farhad Helmand, Tianchi Tang, Kumar Anupam, and Athanasios Scarpas. "Rheological Properties of Tire Rubber Using Dynamic Shear Rheometer for FEM Tire-Pavement Interaction Studies." In Eighth International Conference on Maintenance and Rehabilitation of Pavements. Singapore: Research Publishing Services, 2016. http://dx.doi.org/10.3850/978-981-11-0449-7-095-cd.
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Nazari, Ashkan, Lu Chen, Francine Battaglia, and Saied Taheri. "Developing an Advance Tire Hydroplaning Model Using Co-Simulation of Fully Coupled FEM and CFD Codes to Estimate Cornering Force." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-86581.
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Hydroplaning is a phenomenon which occurs when a layer of water between the tire contact patch and pavement pushes the tire upward. The tire detaches from the pavement, preventing it from providing sufficient forces and moments for the vehicle to respond to driver’s control inputs such as breaking, acceleration and steering. This work is mainly focused on the tire and its interaction with the pavement to address hydroplaning. Fluid Structure Interactions (FSI) between the tire-water-road surfaces are investigated through two approaches. In the first approach, the coupled Eulerian-Lagrangian (CEL) formulation was used. The drawback associated with the CEL method is the laminar assumption and that the behavior of the fluid at length scales smaller than the smallest element size is not captured. As a result, in the second approach, a new Computational Fluid Dynamics (CFD) Fluid Structure Interaction (FSI) model utilizing the shear-stress transport k-ω model and the two-phase flow of water and air, was developed that improves the predictions with real hydroplaning scenarios. Review of the public literature shows that although FEM and CFD computational platforms have been applied together to study tire hydroplaning, developing the tire-surrounding fluid flow CFD model using Star-CCM+ has not been done. This approach, which was developed during this research, is explained in details and the results of hydroplaning speed and cornering force from the FSI simulations are presented and validated using the data from literature.
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Nega, Ainalem, and Daba Gedafa. "Numerical Simulation of Tire-Pavement Interaction Modeling Using Finite Element Method." In International Conference on Transportation and Development 2022. Reston, VA: American Society of Civil Engineers, 2022. http://dx.doi.org/10.1061/9780784484357.026.
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Ruhala, Richard J., and Courtney B. Burroughs. "Tire/Pavement Interaction Noise Source Identification Using Multi-Planar Nearfield Acoustical Holography." In Noise & Vibration Conference & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1999. http://dx.doi.org/10.4271/1999-01-1733.
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Dai, L., and H. Lee. "Prediction of the Effects of Pavement Permeability on the Traffic Noise Generated by Tire and Road Surface Interactions." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-66560.
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Porous pavement materials such as asphalt rubber concrete (ARC) have attracted attentions from the researchers and practitioners in road science in the recent years due to their durability and environmental advantages. The porous pavements also show advantages in traffic noise reduction. This research concentrates on an investigation of the effects of the permeability of porous and other pavement materials on the response of the noise generated by the interaction between tire and the pavement surface. Experimental tests are carried out in the field to acquire tire/road noise data for difference pavement materials with implementation of the Close-Proximity CPX method. Lab experiments are performed for examining the permeability of the pavement materials. Empirical relationship between the noise level and permeability of the pavement materials is established. Comparison for the responses of the pavement materials with different permeability is also presented. The research results provide guidance for optimal design of the microstructure of porous pavements to be used for reducing traffic noise.
Reports on the topic "Interaction tire-pavement"
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Ge, Haitao, Juan Carlos Quezada, Vincent Le Houerou, and Cyrille Chazallon. Investigation of Tire-pavement Interaction Based on Non-smooth Contact Dynamics Method. Peeref, September 2022. http://dx.doi.org/10.54985/peeref.2209p2134642.
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