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Topic: Machine Learning in Earthquake Engineering

A special issue of Disaster Prevention and Resilience

Submission deadline: 31 Dec 2022

Guest Editor(s)

  • Prof. Ertugrul Taciroglu
    Department of Civil & Environmental Engineering, University of California Los Angeles, Los Angeles, CA, USA.

    Website | E-mail

  • Dr. Sujith Mangalathu

    Data Analytics Division, Mangalathu group, Kollam, Kerala, India.

    Website | E-mail

  • Assist. Prof. Yazhou (Tim) Xie

    Department of Civil Engineering, McGill University, Montreal, Quebec, Canada.

    Website | E-mail

Special Issue Introduction

Researchers and practitioners in the earthquake engineering community have been exploring machine learning (ML) as a viable tool along a rapidly increasing research frontier, primarily to improve the efficiency and accuracy of predictive models, and tackle previously intractable problems. However, the exponential growth of efforts in this area is hampered by numerous challenges, such as data quality and interpretability. This special issue presents the state-of-art in the development and applications of ML in earthquake engineering, and is aimed at bringing forth exemplary works that will highlight the potential benefits, challenges, and limitations of ML base approaches. Relevant topics include, but are not limited to:

● Ground motion prediction, classification, and generation
● Probabilistic seismic hazard analysis
● Soil liquefaction
● Soil-structure interaction
● Earthquake damage detection and classification
● Structural health monitoring under seismic loading
● Surrogate modeling
● Seismic capacity prediction
● Seismic fragility and risk assessment
● Regional seismic risk and resilience assessment
● Earthquake mitigation through smart material, device, and design
● Uncertainty quantification and propagation
● Machine learning and physics-based hybrid approaches

Submission Deadline

31 Dec 2022

Submission Information

Articles of special issue are free of charge for article processing.
For Author Instructions, please refer to http://https://dprjournal.com/pages/view/author_instructions
For Online Submission, please login at https://oaemesas.com/login?JournalId=dpr&IssueId=DPR220114
Submission Deadline: 31 Dec 2022
Contacts: Shanice Wang, Assistant Editor, editorialoffice@dprjournal.com

Published Articles

This special issue is now open for submission.
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