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Dynamic model of high-speed maglev train-guideway bridge system with a nonlinear suspension controller
Bu, Xiumeng, Wang, Lidong, Han, Yan, Liu, Hanyun, Hu, Peng, Cai, CS
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Published in Advances in structural engineering (01.06.2024)
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Eccentric compressive performance of circular steel slag concrete-filled steel tube stub columns
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Published in Advances in structural engineering (01.07.2025)
Published in Advances in structural engineering (01.07.2025)
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Numerical investigation on degradation mechanism of reinforced concrete structures under close-in explosion
Jiang, Ren, Shi, Yanchao, Zhong, Bo, Zhuang, Haiyang
Published in Advances in structural engineering (01.07.2025)
Published in Advances in structural engineering (01.07.2025)
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Deep learning-based structural health monitoring through the infusion of optical photos and vibration data
Al-Qudah, Saleh, Bai, Xin, Yang, Mijia, Gao, Zhili
Published in Advances in structural engineering (01.02.2025)
Published in Advances in structural engineering (01.02.2025)
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Long-term creep prediction for a PC bridge with stiffened steel truss based on field testing
Sun, Yuehan, Zhan, Yulin, Li, Peng, Li, Zhilun, Li, Yingxiong, Zhang, Zhiqiang
Published in Advances in structural engineering (01.09.2025)
Published in Advances in structural engineering (01.09.2025)
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Experimental investigation of aluminum-timber connections with inclined self-tapping screws
Peng, Yifan, Zhu, Mingliang, Hu, Xiangchen
Published in Advances in structural engineering (01.09.2025)
Published in Advances in structural engineering (01.09.2025)
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Influence of flexible boundary on damage quantification in shear buildings by FRF-based approach
Das, Saranika, Grover, Divya, Roy, Koushik
Published in Advances in structural engineering (01.09.2025)
Published in Advances in structural engineering (01.09.2025)
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Prediction of local scour depth in bridge piers: Physical information and machine learning based modeling
Wang, Rui, Ming, Yang, Feng, Guixiu, Cao, Xinxin
Published in Advances in structural engineering (01.09.2025)
Published in Advances in structural engineering (01.09.2025)
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Data-driven convolutional neural network model with multi-channel input framework for predicting structural displacement response
Shu, Jiangpeng, Dong, Tengfang, Li, Jun, Xu, Shengliang, Xu, Wencheng, Jin, Zhenfen, Xu, Jinglin, Zeng, Wuhua
Published in Advances in structural engineering (26.08.2025)
Published in Advances in structural engineering (26.08.2025)
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