Seismic Drift Demand Estimation for Steel Moment Frame Buildings: From Mechanics-Based to Data-Driven Models-Reference-Cited by-同舟云学术

Seismic Drift Demand Estimation for Steel Moment Frame Buildings: From Mechanics-Based to Data-Driven Models

Published:2021-06 Issue:6 Volume:147 Page:04021058
ISSN:0733-9445
Container-title:Journal of Structural Engineering
language:en
Short-container-title:J. Struct. Eng.

Author:

Guan Xingquan¹^ORCID,Burton Henry²,Shokrabadi Mehrdad³,Yi Zhengxiang⁴^ORCID

Affiliation:

1. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of California, Los Angeles, CA 90095 (corresponding author). ORCID: .

2. Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of California, Los Angeles, CA 90095.

3. Postdoctoral Scholar, Dept. of Civil and Environmental Engineering, Univ. of California, Los Angeles, CA 90095.

4. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of California, Los Angeles, CA 90095. ORCID:

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29ST.1943-541X.0003004

Reference27 articles.

1. Chen T. and C. Guestrin. 2016. “Xgboost: A scalable tree boosting system.” In Proc. 22nd ACM SIGKDD Int. Conf. Knowledge Discovery and Data Mining 785–794. New York: Association for Computing Machinery.

2. Cook D. K. Wade C. Haselton J. Baker and D. J. DeBock. 2018. “A structural response prediction engine to support advanced seismic risk assessment.” In Proc. 11th National Conf. Earthquake Engineering Oakland CA: Earthquake Engineering Research Institute.

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