Modeling and simulation of three-component ground motion intensity envelope function based on conditional generative adversarial network

Jia-Wei Ding; Dagang Lü; Zhenggang Cao

doi:10.1016/j.ymssp.2025.112703

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Modeling and simulation of three-component ground motion intensity envelope function based on conditional generative adversarial network

Jia-Wei Ding Dagang Lü Zhenggang Cao

Year: 2025 Journal: Mechanical Systems and Signal Processing Vol: 231 Pages: 112703-112703 Publisher: Elsevier BV

DOI: 10.1016/j.ymssp.2025.112703

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Keywords:

Envelope (radar) Component (thermodynamics) Ground motion Intensity (physics) Function (biology) Generative adversarial network Generative grammar Computer science Artificial intelligence Mathematics Engineering Physics Structural engineering Deep learning

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Structural Health Monitoring Techniques

Physical Sciences → Engineering → Civil and Structural Engineering

Seismic Performance and Analysis

Physical Sciences → Engineering → Civil and Structural Engineering

Landslides and related hazards

Physical Sciences → Environmental Science → Management, Monitoring, Policy and Law

Modeling and simulation of three-component ground motion intensity envelope function based on conditional generative adversarial network

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