Non-parametric simulation of random field samples from incomplete measurements using generative adversarial networks-Reference-Cited by-同舟云学术

Non-parametric simulation of random field samples from incomplete measurements using generative adversarial networks

Published:2023-06-12 Issue: Volume: Page:1-25
ISSN:1749-9518
Container-title:Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards
language:en
Short-container-title:Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards

Author:

Wang Yu¹^ORCID,Lyu Borui¹,Shi Chao²,Hu Yue³

Affiliation:

1. Department of Architecture and Civil Engineering, City University of Hong Kong, Kowloon, Hong Kong

2. School of Civil and Environmental Engineering, Nanyang Technological University, Nanyang, Singapore

3. Institute for Risk and Reliability, Leibniz Universität Hannover, Hannover, Germany

Publisher

Informa UK Limited

Subject

Geology,Geotechnical Engineering and Engineering Geology,Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/17499518.2023.2222383

Reference76 articles.

1. Arjovsky, M., S. Chintala, and L. Bottou. 2017. “Wasserstein Gan.”. https://doi.org/10.48550/arXiv.1701.07875.

2. Engineering Risk Assessment with Subset Simulation

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