Technical Papers
Dec 8, 2018

Simplified Mechanistic Model for Seismic Response Prediction of Coupled Cross-Laminated Timber Rocking Walls

Publication: Journal of Structural Engineering
Volume 145, Issue 2

Abstract

A simplified mechanistic model is developed in this study to predict the lateral load resistance of coupled rocking walls made from cross-laminated timber (CLT) panels as an alternative to finite-element modeling. The model is derived in an incremental format in order to capture the nonlinear behavior of the rocking wall, including crushing of the corners and inelastic response of interpanel connectors. The backbone curve and limit states generated using the proposed model are verified through a detailed finite-element model. Following the validation of the backbone curve, a spectrum-based maximum displacement prediction method is proposed for the rocking wall system under an arbitrary earthquake input. This simplified prediction method is validated using full-scale shake table test data of a two-story wood building with coupled CLT rocking walls. The model and the dynamic response prediction approach are found to be reasonably accurate for preliminary seismic design and evaluation of CLT rocking wall systems, so that detailed finite-element modeling and nonlinear time history analysis may not be necessary.

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Acknowledgments

This research project is supported by the National Science Foundation through a number of collaborative awards, including CMMI 1636164, CMMI 1634204, CMMI 1635363, CMMI 1635227, CMMI 1635156, CMMI 1634628. The use of the NHERI experimental facility is supported by the National Science Foundation’s Natural Hazards Engineering Research Infrastructure Program. The authors also acknowledge support for the two-story shake table testing program from industry partners including Katerra, Simpson Strong-Tie, Forest Products Laboratory, Softwood Lumber Board, DR Johnson Lumber, and the City of Springfield, Oregon. The opinions presented here are solely those of the authors. The authors also acknowledge individual industry collaborators and students who worked on this project, including Reid Zimmerman, Jace Furley, Sarah Wichman, Leonardo Rodrigues, Brian DeMeza, Gabriele Tamagnone, Daniel Griesenauer, Ethan Judy, Steven Kordziel, Aleesha Busch, Ali Hansan, Joycelyn Ng, Monica Y. Liu, Ata Mohseni, and Da Huang. The authors also acknowledge the research collaboration on the Tall Wood project from James Ricles and Richard Sause at Lehigh University and Keri Ryan at the University of Nevada Reno; and finally, the help provided by the management and site staff of NHERI@UCSD.

References

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Published In

Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 145Issue 2February 2019

History

Received: Nov 29, 2017
Accepted: Aug 16, 2018
Published online: Dec 8, 2018
Published in print: Feb 1, 2019
Discussion open until: May 8, 2019

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Authors

Affiliations

Z. Jin
Associate Professor, School of Civil Engineering, Southwest Jiaotong Univ., Chengdu 610031, China.
S. Pei, M.ASCE [email protected]
Assistant Professor, Dept. of Civil and Environmental Engineering, Colorado School of Mines, Golden, CO 80401 (corresponding author). Email: [email protected]
H. Blomgren, M.ASCE
Director of Testing and Characterization, Katerra, 542 1st Ave. S, Seattle, WA 98104.
J. Powers
Engineer Associate, Katerra, 542 1st Ave. S, Seattle, WA 98104.

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