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Xiaoshan Kong

Beijing University of Technology

100 Ping Le Yuan

Chaoyang District

Beijing, 100020

China

  • Beijing University of Technology

SCHOLARLY PAPERS

4

DOWNLOADS

155

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0

Scholarly Papers (4)

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1.

Adaptive Fusion of Acceleration and Velocity Records Using Machine Learning for Improved Ground Motion Modeling

Number of pages: 48 Posted: 20 Nov 2025
Mianshui Rong, Qingxu Zhao, Bin Zhang, Aixia Dou, Jixin Wang, Xiaoshan Kong and Xiaojun Li
Beijing University of Technology, Beijing University of Technology, China Earthquake Administration, affiliation not provided to SSRN, Beijing University of Technology, Beijing University of Technology and Beijing University of Technology
Downloads 70 (891,180)

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Acceleration-velocity data fusion, Ground motion model, Adaptive weighting, Interpretable machine learning

2.

Unsupervised Characterization of Site Conditions from Detailed Information for Improved Ground Motion Modeling

Number of pages: 47 Posted: 12 Jun 2025
Qingxu Zhao, Mianshui Rong, Yi Ding, Jixin Wang, Bin Zhang, Xiaoshan Kong and Xiaojun Li
Beijing University of Technology, Beijing University of Technology, Beijing University of Technology, Beijing University of Technology, China Earthquake Administration, Beijing University of Technology and Beijing University of Technology
Downloads 50 (1,086,013)

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Unsupervised clustering, Site conditions, Ground motion models, Site effects, Integrated site parameters

3.

Influence of Higher-Order Modes of Site Soil Layers on Surface Seismic Response Based on KiK-net Data

Number of pages: 50 Posted: 19 Jan 2026
Mianshui Rong, Qianhui Gao, Jixin Wang, Bin Zhang, Qingxu Zhao, Xiaoshan Kong and Xiaojun Li
Beijing University of Technology, Beijing University of Technology, Beijing University of Technology, China Earthquake Administration, Beijing University of Technology, Beijing University of Technology and Beijing University of Technology
Downloads 25 (1,411,822)

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Higher modes, Modal contribution, Horizontal-to-Vertical-Spectral Ratio(HVSR), Transfer function(TF), Response spectrum

4.

Learning a Site Correction Model for NGA-West2 Ground Motion Models by Exploiting Horizontal-to-Vertical Spectral Ratios

Number of pages: 40 Posted: 09 Feb 2026
Qingxu Zhao, Mianshui Rong, Bin Zhang, Xiaoshan Kong, Xiaohu Hu, Jixin Wang and Xiaojun Li
Beijing University of Technology, Beijing University of Technology, China Earthquake Administration, Beijing University of Technology, Beijing University of Technology, Beijing University of Technology and Beijing University of Technology
Downloads 10 (1,555,090)

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Site correction, Site-to-site variability, Ground motion models, Horizontal-to-Vertical Spectral Ratio, Physics-guided learning