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Quantification of Effects of Ground Shaking on Buried Transmission Pipelines
Pipeline damage in past earthquakes that cannot be attributed to permanent ground displacement has typically been attributed to strong …
Yi Peng
,
Xingquan Guan
,
Yousef Bozorgnia
,
Douglas Honegger
,
Elnaz Seylabi
,
David McCallen
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Video comprehension-based approach for seismic damage recognition of freestanding non-structural components
We have designed a video-comprehension model to analyze the moving trajectory and potential failure modes of nonstructural components during earthquakes, directly from video footage. We are hoping to leverage such a model to minimize the post-earthquake on-site inspections on nonstructural damages
Yongqing Jiang
,
Jianze Wang
,
Xingquan Guan
,
Kaoshan Dai
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An adapted LSTM-DRRNet approach for predicting floor acceleration response spectrum
A bidirectional long short-term memory network model with an attention mechanism is developed to predict floor response spectrum.
Jiangze Wang
,
Yongqing Jiang
,
Qinyong Huang
,
Xingquan Guan
,
Kaoshan Dai
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Collaborative filtering-based collapse fragility assessment
This paper presents a computationally efficient collapse fragility assessment approach that leverages the collaborative filtering (CF) …
Xingquan Guan
,
Henry Burton
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Code
A multi-source data-driven approach for evaluating the seismic response of non-ductile reinforced concrete moment frames
As the smart city concept becomes increasingly popular and important in both industries and academia, a broad range of data collected …
Peng-Yu Chen
,
Xingquan Guan
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StEER 2022 Mw 5.6 Indonesia Earthquake Preliminary Virtual Reconnaissance Report (PVRR)
A magnitude 5.6 earthquake occurred in West Java, Indonesia, on November 22, 2022. The epicenter of the the earthquake was in the …
Henry Burton
,
Samuel Dwima
,
Danny Gho
,
Xingquan Guan
,
Selim Gunay
,
Abhineet Gupta
,
Zeyad Khalil
,
Novia Kusumayani
,
Marko Marinković
,
Yvonne Merino-Pena
,
Chukwuebuka Nweke
,
Amir Safiey
PDF
Dataset
Bias-variance tradeoff in machine learning: Theoretical formulation and implications to structural engineering applications
When machine learning (ML) is used to solve practical problems in structural engineering (SE), the associated data may not reflect the …
Xingquan Guan
,
Henry Burton
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Accurate prediction of concrete compressive strength based on explainable features using deep learning
Recently, a number of machine-learning models have been proposed for the prediction of 28-day compressive strength of concrete using …
Ziyue Zi
,
Zheyu Zhu
,
Wu Yao
,
Zhongping Wang
,
Changying Wang
,
Yongqi Wei
,
Zhenhua Wei
,
Xingquan Guan
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Fire resistance behavior of T-stub joint components under transient heat transfer conditions
The fire resistance behavior of T-stub joint components at elevated temperatures was experimentally and numerically investigated..
Fei Gao
,
Zhaoxiang Liu
,
Xingquan Guan
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Project
Seismic drift demand estimation for steel moment frame buildings: from mechanics-based to data-driven models
The existing and newly developed models for estimating building seismic drift demands are comparatively assessed in this study.
Xingquan Guan
,
Henry Burton
,
Mehrdad Shokrabad
,
Zhengxiang Yi
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