Parameter uncertainty and statistical analysis of tyre-pavement interaction under braking

被引:0
|
作者
da Silva, Debora Cardoso [1 ]
Ravahatra, Ndrianary Rakotovao [1 ]
Picoux, Benoit [1 ]
Reynaud, Philippe [1 ]
Yotte, Sylvie [1 ]
Petit, Christophe [1 ]
机构
[1] Univ Limoges, EA 3178, GC2D, Egletons, France
关键词
Surface damage; semi-analytical model; tractive rolling contact; factorial design; surrogate model; LAYER THICKNESS VARIABILITY; CRACKING PERFORMANCE; FLEXIBLE PAVEMENTS; CONTACT; FRICTION; TIRE; RELIABILITY;
D O I
10.1080/14680629.2025.2483480
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This study evaluates the influence of uncertain input parameters on pavement responses in a critical braking scenario. Tyre-pavement interaction is simulated using a fast semi-analytical model. The primary objective is to identify the key stochastic variables associated with equivalent strain, a criterion for surface cracking initiation. The investigation follows a two-level full factorial experiment based on several input parameters, such as pavement properties and applied loads. A first-order surrogate model enables localised strain evaluation at each mesh element. The friction coefficient, vertical load, and surface course stiffness are identified as the most critical factors influencing surface damage in the tyre-pavement contact zone. These factors can contribute to an increase of up to 100 microstrains in critical strain magnitude. The study also highlights that base thickness and modulus have a limited impact on maximum surface strain, primarily due to the dominance of shear mechanisms driven by tractive forces.
引用
收藏
页数:27
相关论文
共 50 条
  • [41] 3D FEM analysis of flexible base asphalt pavement structure under non-uniform tyre contact pressure
    Jiang, Xin
    Zeng, Cheng
    Gao, Xiaofeng
    Liu, Zhujun
    Qiu, Yanjun
    INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING, 2019, 20 (09) : 999 - 1011
  • [42] Monte-Carlo parameter uncertainty analysis under dynamical and operational measurement conditions
    Barbe, Kurt
    Fuentes, Lee Gonzales
    Olarte, Oscar
    Lauwers, Lieve
    2014 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC) PROCEEDINGS, 2014, : 276 - 281
  • [43] Stability Analysis of Rotor-Bearing Systems under the Influence of Misalignment and Parameter Uncertainty
    Sun, Xiaodong
    Sepahvand, Kian K.
    Marburg, Steffen
    APPLIED SCIENCES-BASEL, 2021, 11 (17):
  • [44] Bayesian mean-variance analysis: optimal portfolio selection under parameter uncertainty
    Bauder, David
    Bodnar, Taras
    Parolya, Nestor
    Schmid, Wolfgang
    QUANTITATIVE FINANCE, 2021, 21 (02) : 221 - 242
  • [45] Fractional Order Controller for Electric Drives Under Parameter Uncertainty: A Controller Performance Analysis
    Mehmood, Chaudhry Arshad
    Kavasseri, Rajesh G.
    JOURNAL OF ELECTRICAL SYSTEMS, 2014, 10 (04) : 406 - 416
  • [46] Formal analysis of piecewise affine systems under parameter uncertainty with application to gene networks
    Yordanov, Boyan
    Belta, Calin
    2008 AMERICAN CONTROL CONFERENCE, VOLS 1-12, 2008, : 2767 - +
  • [47] Uncertainty in the specification of surface characteristics, part II: Hierarchy of interaction-explicit statistical analysis
    Niyogi, DS
    Raman, S
    Alapaty, K
    BOUNDARY-LAYER METEOROLOGY, 1999, 91 (03) : 341 - 366
  • [48] Uncertainty in the Specification of Surface Characteristics, Part ii: Hierarchy of Interaction-Explicit Statistical Analysis
    Devdutta S. Niyogi
    Sethu Raman
    Kiran Alapaty
    Boundary-Layer Meteorology, 1999, 91 : 341 - 366
  • [49] Statistical analysis of atmospheric refractive index structure parameter under the sea surface environment
    Department of Electronic Engineering, Naval Aeronautical and Astronautical University, Yantai
    Shandong
    264001, China
    不详
    Shandong
    264001, China
    Guangxue Xuebao, 4
  • [50] A study of interval analysis for cold-standby system reliability optimization under parameter uncertainty
    Wang, Wei
    Xiong, Junlin
    Xie, Min
    COMPUTERS & INDUSTRIAL ENGINEERING, 2016, 97 : 93 - 100