A multivariate multiple regression analysis of tire-road contact peak triaxial stress by using machine learning methods

Li, Xiangwen; Guo, Minrui; Zhou, Xiao

doi:10.1080/15376494.2021.2008067

Mechanics of Advanced Materials and Structures

2021

DOI: 10.1080/15376494.2021.2008067

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A multivariate multiple regression analysis of tire-road contact peak triaxial stress by using machine learning methods

Xiangwen Li

Minrui Guo

Xiao Zhou

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Cited by 9 publications

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Zhang

et al. 2022

Applied Mathematical Modelling

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A multivariate multiple regression analysis of tire-road contact peak triaxial stress by using machine learning methods

Cited by 9 publications

References 54 publications

Modeling and evaluation of dynamic degradation behaviours of carbon fibre-reinforced epoxy composite shells

Modeling and evaluation of dynamic degradation behaviours of carbon fibre-reinforced epoxy composite shells

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An efficient conditional GAN-based framework for high-resolution prediction of tyre-pavement contact stresses – a contribution towards a digital twin of the road system

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