Modeling uncertainty of specimens employing spines and force‐limiting connections tested at E‐defense shake table

Author:

Astudillo Bryam1ORCID,Rivera David2,Duke Jessica3,Simpson Barbara1ORCID,Fahnestock Larry A.4ORCID,Sause Richard3ORCID,Ricles James3ORCID,Kurata Masahiro5ORCID,Okazaki Taichiro6ORCID,Kawamata Yohsuke7,Tao Zhuoqi4,Qie Yi6ORCID

Affiliation:

1. Department of Civil and Environmental Engineering Stanford University Stanford California USA

2. School of Civil and Construction Engineering Oregon State University Corvallis Oregon USA

3. Department of Civil and Environmental Engineering Lehigh University Bethlehem Pennsylvania USA

4. Department of Civil and Environmental Engineering University of Illinois Urbana‐Champaign Urbana Illinois USA

5. Disaster Prevention Research Institute Kyoto University Kyoto Japan

6. Division of Architectural and Structural Design Hokkaido University Sapporo Japan

7. Hyogo Earthquake Engineering Research Center National Research Institute for Earth Science and Disaster Resilience Miki‐shi Japan

Abstract

AbstractIn light of the significant damage observed after earthquakes in Japan and New Zealand, enhanced performing seismic force‐resisting systems and energy dissipation devices are increasingly being utilized in buildings. Numerical models are needed to estimate the seismic response of these systems for seismic design or assessment. While there have been studies on modeling uncertainty, selecting the model features most important to response can remain ambiguous, especially if the structure employs less well‐established lateral force‐resisting systems and components. Herein, a global sensitivity analysis was used to address modeling uncertainty in specimens with elastic spines and force‐limiting connections (FLCs) physically tested at full‐scale at the E‐Defense shake table in Japan. Modeling uncertainty was addressed for both model class and model parameter uncertainty by varying primary models to develop several secondary models according to pre‐established uncertainty groups. Numerical estimates of peak story drift ratio and floor acceleration were compared to the results from the experimental testing program using confidence intervals and root‐mean‐square error. Metrics such as the coefficient of variation, variance, linear Pearson correlation coefficient, and Sobol index were used to gain intuition about each model feature's contribution to the dispersion in estimates of the engineering demands. Peak floor acceleration was found to be more sensitive to modeling uncertainty compared to story drift ratio. Assumptions for the spine‐to‐frame connection significantly impacted estimates of peak floor accelerations, which could influence future design methods for spines and FLC in enhanced lateral‐force resisting systems.

Funder

American Institute of Steel Construction

National Science Foundation

Disaster Prevention Research Institute, Kyoto University

Japan Society for the Promotion of Science

Publisher

Wiley

Subject

Earth and Planetary Sciences (miscellaneous),Geotechnical Engineering and Engineering Geology,Civil and Structural Engineering

Reference80 articles.

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