Hybrid physics-data-driven model for temperature field prediction of asphalt pavement based on physics-informed neural network
Authors:
- Weiwen QuanWQWeiwen Quan
- Xianyong MaXianyong Ma
- Zekun ShangZSZekun Shang
- Kaiwen ZhaoKZKaiwen Zhao
- Manman SuMSManman Su
- Zejiao DongZDZejiao Dong
- Zenggang ZhaoZZZenggang Zhao
Top Cited Papers
- 16 June 2025
- journal article
- Published by Elsevier in Construction and Building Materials
- Vol. 489
Abstract
No abstract availableFunding Information
- National Key Research and Development Program of China (2024YFE0214600)
- National Natural Science Foundation of China (52478451)
- Central South University of Forestry and Technology (2025YJZ046)
- Fundamental Research Funds for the Central Universities
- China Association for Science and Technology (2023QNRC001)
This publication has 75 references indexed in Scilit:
- Failure-Informed Adaptive Sampling for PINNs, Part II: Combining with Re-sampling and Subset SimulationCommunications on Applied Mathematics and Computation, 2023
- Physics-informed neural networks with residual/gradient-based adaptive sampling methods for solving partial differential equations with sharp solutionsApplied Mathematics and Mechanics, 2023
- Physics-informed deep learning for three-dimensional transient heat transfer analysis of functionally graded materialsComputational Mechanics, 2023
- Hybrid thermal modeling of additive manufacturing processes using physics-informed neural networks for temperature prediction and parameter identificationComputational Mechanics, 2023
- Improved Deep Neural Networks with Domain Decomposition in Solving Partial Differential EquationsJournal of Scientific Computing, 2022
- Physics informed neural networks for control oriented thermal modeling of buildingsApplied Energy, 2022
- Analysis of three-dimensional potential problems in non-homogeneous media with physics-informed deep collocation method using material transfer learning and sensitivity analysisEngineering with Computers, 2022
- Temperature prediction model of asphalt pavement in cold regions based on an improved BP neural networkApplied Thermal Engineering, 2017
- Analytical approach for evaluating temperature field of thermal modified asphalt pavement and urban heat island effectApplied Thermal Engineering, 2017
- Dynamic behavior of asphalt pavement structure under temperature-stress coupled loadingApplied Thermal Engineering, 2013