Development of a seismic vulnerability and risk model for typical bridges considering innovative intensity measures
Seismic intensity measures are one of the core parameters for estimating regional bridges'
seismic risk and vulnerability. Using macroscopic seismic intensity indicators to predict and …
seismic risk and vulnerability. Using macroscopic seismic intensity indicators to predict and …
Seismic acceleration response prediction method of the PSCFST bridge based on TCN
G Xue, J Miao, D Zhang, S Zuo, C Zhang… - Journal of Constructional …, 2025 - Elsevier
Precast segment self-centering concrete filled steel tube (PSCFST) bridge has become a
research hotspot in the field of infrastructure because of its excellent seismic performance …
research hotspot in the field of infrastructure because of its excellent seismic performance …
A pre-trained deep learning model for fast online prediction of structural seismic responses
Deep learning techniques have gradually attracted considerable research interest in
numerous application scenarios because of their capacity to simplify and accelerate …
numerous application scenarios because of their capacity to simplify and accelerate …
Predicting compressive strength of fiber-reinforced coral aggregate concrete: Interpretable optimized XGBoost model and experimental validation
Z Sun, X Wang, H Huang, Y Yang, Z Wu - Structures, 2024 - Elsevier
The addition of macro and micro fibers can enhance the compressive strength of fiber-
reinforced coral aggregate concrete (FRCAC-CS). Traditional explicit models for FRCAC-CS …
reinforced coral aggregate concrete (FRCAC-CS). Traditional explicit models for FRCAC-CS …
Performance evaluation of hybrid fiber-reinforced concrete based on electrical resistivity: Experimental and data-driven method
Z Sun, Y Li, T Han, L Su, X Zhu, J He, S **e… - Construction and Building …, 2024 - Elsevier
This study investigates the electrical resistivity (ER) of hybrid fiber-reinforced concrete
(HFRC) containing basalt micro fibers (BF) and basalt macro fibers (BMF) through …
(HFRC) containing basalt micro fibers (BF) and basalt macro fibers (BMF) through …
Machine-Learning Applications in Structural Response Prediction: A Review
Structural health monitoring (SHM) is an important and practical procedure for ensuring the
structural integrity and serviceability of civil engineering structures such as bridges …
structural integrity and serviceability of civil engineering structures such as bridges …
Response prediction and probabilistic analysis of the vehicle-ballasted track system considering track irregularity based on long-short term memory neural network
It is necessary to efficiently and accurately predict the dynamic behavior of the train-track
system subjected to massive random track geometric excitations for system evaluation and …
system subjected to massive random track geometric excitations for system evaluation and …