Source Themes | Guan's Paradise

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

Video comprehension-based approach for seismic damage recognition of freestanding non-structural components

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

An adapted LSTM-DRRNet approach for predicting floor acceleration response spectrum

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

Collaborative filtering-based collapse fragility assessment

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

A multi-source data-driven approach for evaluating the seismic response of non-ductile reinforced concrete moment frames

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

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

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

Accurate prediction of concrete compressive strength based on explainable features using deep learning

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

Fire resistance behavior of T-stub joint components under transient heat transfer conditions

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

Seismic drift demand estimation for steel moment frame buildings: from mechanics-based to data-driven models

Python-based computational platform to automate seismic design, nonlinear structural model construction and analysis of steel moment resisting frames

An end-to-end computational platform is presented, which automates seismic design, nonlinear structural model construction, and response simulation (static and dynamic) of steel moment resisting frames.

Xingquan Guan, Henry Burton, Thomas Sabol