Dynamic Analysis of Resilient Rocking Wall Structures: A Numerical Study on Performance Demands

Dynamic time history analysis has long been regarded as an acceptable and reliable method for the seismic design of structures. The methodology for conducting such analyses, particularly for modern structures with advanced seismic resisting systems, is generally not covered by codal guidelines and is often categorized as “alternative” analysis. Resilient rocking wall systems with low-damage hold-downs fall within the “alternative” design category for most international standards, and designs must include dynamic time history analysis. However, the analysis results are influenced by factors such as ground motion selection, scaling methodologies, modeling considerations employed, and the assumptions embedded within the numerical model. This study takes a practical approach and assesses their impact on the structural response and seismic demand determination of a selected mass timber archetype featuring a rocking wall system with friction connections. The investigation into modeling considerations explores various damping models, time history analysis methods, and the associated variables within these models. It is demonstrated that varied seismic demands can result from different selections and modeling assumptions. However, with careful and rational engineering judgment and selection during the analysis process, reasonably close and acceptable seismic demands can be achieved. Furthermore, the authors provide recommendations and insights to enhance the analysis and design demand determination process.

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Publication Details

Journal
Buildings
Published
2025-03-02
DOI
https://doi.org/10.3390/buildings15050802
Citations
1
Primary Topic
Seismic Performance and Analysis
Type
article
Field-Weighted Citation Impact
0.95

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article

Dynamic Analysis of Resilient Rocking Wall Structures: A Numerical Study on Performance Demands

Nicholas Chan, Ashkan Hashemi, Pierre J. H. Quenneville, Soheil Assadi
1 citations
Buildings
Seismic Performance and Analysis
0.95
article

Dynamic Analysis of Resilient Rocking Wall Structures: A Numerical Study on Performance Demands

Nicholas Chan, Ashkan Hashemi, Pierre J. H. Quenneville, Soheil Assadi
article en
1 citations

Abstract

Dynamic time history analysis has long been regarded as an acceptable and reliable method for the seismic design of structures. The methodology for conducting such analyses, particularly for modern structures with advanced seismic resisting systems, is generally not covered by codal guidelines and is often categorized as “alternative” analysis. Resilient rocking wall systems with low-damage hold-downs fall within the “alternative” design category for most international standards, and designs must include dynamic time history analysis. However, the analysis results are influenced by factors such as ground motion selection, scaling methodologies, modeling considerations employed, and the assumptions embedded within the numerical model. This study takes a practical approach and assesses their impact on the structural response and seismic demand determination of a selected mass timber archetype featuring a rocking wall system with friction connections. The investigation into modeling considerations explores various damping models, time history analysis methods, and the associated variables within these models. It is demonstrated that varied seismic demands can result from different selections and modeling assumptions. However, with careful and rational engineering judgment and selection during the analysis process, reasonably close and acceptable seismic demands can be achieved. Furthermore, the authors provide recommendations and insights to enhance the analysis and design demand determination process.

BuildingsVol. 15(5)
University of Auckland (NZ)
QuakeCoRE
Openalex Percentile: Top 28%
Seismic Performance and Analysis
0.95
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Dynamic Analysis of Resilient Rocking Wall Structures: A Numerical Study on Performance Demands — Nicholas Chan, Ashkan Hashemi, et al. · Buildings (2025) | TGRS Research Map | TGRS