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

• Developed high-efficient asphalt pavement modeling software based on semi-analytical finite element method. • Algorithms addressed the most important aspects in vehicle-tire-pavement interaction modeling. • Implementation of optimized discrete Fourier transform, parallel computing, GPU acceleration, and sparse matrices. • Showed significant savings in computation time and storage usage over 3D-FEM. • Software accuracy is verified by comparison with field measurements. 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.