Development of high-efficient asphalt pavement modeling software for digital twin of road infrastructure

IF 4 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Advances in Engineering Software Pub Date : 2024-10-02 DOI:10.1016/j.advengsoft.2024.103786

Kairen Shen, Hao Wang

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Abstract

To develop digital twin (DT) of road infrastructure, one critical element is computation of pavement responses (strains, stresses, and deflections) under traffic and environmental loading. This study aims to develop high-efficient asphalt pavement modeling software based on semi-analytical finite element method (SAFEM) for DT application. The algorithms address important aspects in vehicle-tire-pavement interaction modeling, such as dynamic vehicular loading, three-dimensional (3-D) non-uniform tire contact stress, viscoelastic behavior of asphalt material, and interface bonding condition. The simulation accuracy is verified by comparison with full-scale test and field measurements, and the relative differences are around 5 % to 20 %. Techniques including optimized discrete Fourier transform, parallel computing, graphics processing unit (GPU) acceleration, and sparse matrices are implemented for computation efficiency. As compared to the traditional 3-D FEM, SAFEM shows significant savings in computation time and storage usage. The high efficiency and accuracy make the software full of potential to be applied for DT of roadway infrastructure.

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开发用于道路基础设施数字孪生的高效沥青路面建模软件

要开发道路基础设施的数字孪生（DT），一个关键因素是计算路面在交通和环境荷载下的响应（应变、应力和挠度）。本研究旨在为 DT 应用开发基于半解析有限元法（SAFEM）的高效沥青路面建模软件。这些算法解决了车辆-轮胎-路面相互作用建模中的重要问题，如车辆动态载荷、三维（3-D）非均匀轮胎接触应力、沥青材料的粘弹性行为和界面粘结条件。模拟精度通过与全尺寸试验和现场测量结果的对比得到验证，相对差异约为 5% 至 20%。为提高计算效率，采用了优化离散傅立叶变换、并行计算、图形处理器（GPU）加速和稀疏矩阵等技术。与传统的三维有限元模型相比，SAFEM 在计算时间和存储使用方面都有显著的节省。高效率和高精度使得该软件在道路基础设施的 DT 应用中大有可为。

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来源期刊

Advances in Engineering Software 工程技术-计算机：跨学科应用

CiteScore

7.70

自引率

4.20%

发文量

169

审稿时长

37 days

期刊介绍： The objective of this journal is to communicate recent and projected advances in computer-based engineering techniques. The fields covered include mechanical, aerospace, civil and environmental engineering, with an emphasis on research and development leading to practical problem-solving. The scope of the journal includes: • Innovative computational strategies and numerical algorithms for large-scale engineering problems • Analysis and simulation techniques and systems • Model and mesh generation • Control of the accuracy, stability and efficiency of computational process • Exploitation of new computing environments (eg distributed hetergeneous and collaborative computing) • Advanced visualization techniques, virtual environments and prototyping • Applications of AI, knowledge-based systems, computational intelligence, including fuzzy logic, neural networks and evolutionary computations • Application of object-oriented technology to engineering problems • Intelligent human computer interfaces • Design automation, multidisciplinary design and optimization • CAD, CAE and integrated process and product development systems • Quality and reliability.