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Hybrid physics-data-driven model for temperature field prediction of asphalt pavement based on physics-informed neural network
Weiwen Quan, Xianyong Ma, Zekun Shang, Kaiwen Zhao, Manman Su, Zejiao Dong, Zenggang Zhao
Central South University of Forestry and Technology Harbin Institute of Technology Yantai University
来源Construction and Building Materials
年份2025
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逐年被引趋势
28140
25
2826
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34
被引次数 · OpenAlex
10.15
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 0.9%
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91
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学术脉络
学科主题
物理Model Reduction and Neural Networks
Asphalt Pavement Performance Evaluation · Infrastructure Maintenance and Monitoring
参考文献 91
Automatic differentiation in machine learning: a survey
被引 1,041Baydin, Atilim Gunes, Pearlmutter, Barak A., Alexey Radul · arXiv (Cornell University) · 2015
Temperature modelling in pavements: the effect of long- and short-wave radiation
被引 37A. Mammeri, Laurent Ulmet, Christophe Petit · International Journal of Pavement Engineering · 2014
Numerical investigation of snow traction characteristics of 3-D patterned tire
被引 37Jae Hyuk Choi, Jong-Rae Cho, J.S. Woo · Journal of Terramechanics · 2012
此处列出前 3 条
引用本文 34
A review of machine learning methods for geopolymer performance prediction: Linking data-driven models with physical insights
被引 9Shuo Zheng, Zhibin Liu, Jinkun Huang · Journal of Building Engineering · 2025
Enhanced pavement temperature prediction via a novel LSTM-GRU hybrid deep learning architecture with interpretability
被引 8Yared Bitew Kebede, Ming-Der Yang, Chien-Wei Huang · Construction and Building Materials · 2026
Hybrid particle swarm optimization and physics informed neural network algorithm for temperature field reconstruction in industrial factory fires
被引 8Yan Li, Bin Sun · Journal of Building Engineering · 2025
按被引量排序,此处列出前 3 条