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    Regional Seismic Risk Assessment of Infrastructure Systems through Machine Learning: Active Learning Approach 

    Source: Journal of Structural Engineering:;2020:;Volume ( 146 ):;issue: 012
    Author(s): Sujith Mangalathu; Jong-Su Jeon
    Publisher: ASCE
    Abstract: Regional seismic risk assessment involves many infrastructure systems, and it is computationally intensive to conduct an individual simulation of each system. This paper suggests an approach using active learning to select ...
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    Ground Motion-Dependent Rapid Damage Assessment of Structures Based on Wavelet Transform and Image Analysis Techniques 

    Source: Journal of Structural Engineering:;2020:;Volume ( 146 ):;issue: 011
    Author(s): Sujith Mangalathu; Jong-Su Jeon
    Publisher: ASCE
    Abstract: Rapid and accurate evaluation of the damage state of structures after a seismic event is critical for postevent emergency response and recovery. The existing rapid damage evaluation methodology is typically based on fragility ...
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    Skew Adjustment Factors for Fragilities of California Box-Girder Bridges Subjected to near-Fault and Far-Field Ground Motions 

    Source: Journal of Bridge Engineering:;2019:;Volume ( 024 ):;issue: 001
    Author(s): Sujith Mangalathu; Jong-Su Jeon; Jiqing Jiang
    Publisher: American Society of Civil Engineers
    Abstract: Past reconnaissance studies revealed that bridges close to active faults are more susceptible to damage, and more than 60% of the bridges in California are skewed. To assess the combined effect of near-fault (NF) ground ...
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    Machine Learning–Based Seismic Reliability Assessment of Bridge Networks 

    Source: Journal of Structural Engineering:;2022:;Volume ( 148 ):;issue: 007:;page 06022002
    Author(s): Mengdie Chen; Sujith Mangalathu; Jong-Su Jeon
    Publisher: ASCE
    Abstract: Transportation networks are critical components of lifeline systems. They can experience disruptions due to seismic hazards that could lead to severe emergency response and recovery problems. Finding an efficient and ...
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    Impact of Spatial Variability Parameters on Seismic Fragilities of a Cable-Stayed Bridge Subjected to Differential Support Motions 

    Source: Journal of Bridge Engineering:;2017:;Volume ( 022 ):;issue: 006
    Author(s): Jian Zhong; Jong-Su Jeon; Wancheng Yuan; Reginald DesRoches
    Publisher: American Society of Civil Engineers
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    Optimal Intensity Measures in Probabilistic Seismic Demand Models of Cable-Stayed Bridges Subjected to Pulse-Like Ground Motions 

    Source: Journal of Bridge Engineering:;2019:;Volume ( 024 ):;issue: 002
    Author(s): Jian Zhong; Jong-Su Jeon; Ya-Hui Shao; Liang Chen
    Publisher: American Society of Civil Engineers
    Abstract: This study explored an optimal intensity measure for probabilistic seismic demand models of multiple components in cable-stayed bridges subjected to pulse-like ground motions. To achieve this goal, this study selected a ...
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    Automated Damage Index Estimation of Reinforced Concrete Columns for Post-Earthquake Evaluations 

    Source: Journal of Structural Engineering:;2015:;Volume ( 141 ):;issue: 009
    Author(s): Stephanie G. Paal; Jong-Su Jeon; Ioannis Brilakis; Reginald DesRoches
    Publisher: American Society of Civil Engineers
    Abstract: The safety of buildings which have been affected by a natural disaster such as an earthquake is currently evaluated manually by certified inspectors who identify visible damage on the structural elements. This process has ...
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    Machine Vision-Enhanced Postearthquake Inspection 

    Source: Journal of Computing in Civil Engineering:;2013:;Volume ( 027 ):;issue: 006
    Author(s): Stephanie German; Jong-Su Jeon; Zhenhua Zhu; Cal Bearman; Ioannis Brilakis; Reginald DesRoches; Laura Lowes
    Publisher: American Society of Civil Engineers
    Abstract: Current postearthquake inspection of structures relies on certified inspectors to make an assessment of the existing safety of the structure based primarily on qualitative measures. Completing the required inspection takes ...
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