Ground motion model for acceleration response spectra using conditional-generative adversarial network

Pavan Mohan Neelamraju; Jahnabi Basu; S. T. G. Raghukanth

doi:10.1007/s11069-024-06988-1

ScienceGate Book Chapters

JOURNAL ARTICLE

Ground motion model for acceleration response spectra using conditional-generative adversarial network

Pavan Mohan Neelamraju Jahnabi Basu S. T. G. Raghukanth

Year: 2024 Journal: Natural Hazards Vol: 121 (4)Pages: 4865-4900 Publisher: Springer Science+Business Media

DOI: 10.1007/s11069-024-06988-1

Get Full-Text PDF Get Analytical Report

Keywords:

Acceleration Ground motion Generative adversarial network Natural hazard Computer science Generative grammar Motion (physics) Adversarial system Artificial intelligence Geology Seismology Physics Meteorology Deep learning

Metrics

Cited By

0.98

FWCI (Field Weighted Citation Impact)

Refs

0.67

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

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

Ground motion model for acceleration response spectra using conditional-generative adversarial network

Metrics

Citation History

Topics

Related Documents

Ground Motion Simulation Via Generative Adversarial Network

Aftershock ground motion prediction model based on conditional convolutional generative adversarial networks

Application of conditional generative adversarial network in ground motion modelling encompassing epistemic uncertainty

Denoising of motion artifacted MRI scans using conditional generative adversarial network

Site-Specific Ground-Motion Waveform Generation Using a Conditional Generative Adversarial Network and Generalized Inversion Technique