A Parametric Computational Framework for Modeling and Seismic Design of Post‐Tensioned Mass Timber Rocking Walls

ABSTRACT Post‐tensioned cross‐laminated timber (PT‐CLT) rocking walls offer a compelling seismic system combining self‐centering behavior with energy dissipation. However, progress in their performance assessment and design has been limited by the lack of a comprehensive parametric modeling tool, as exists for steel or reinforced concrete systems. This paper introduces a parametric, object‐oriented computational framework for PT‐CLT rocking walls, developed in OpenSeesPy for modeling and seismic design validation. The framework represents key components within a modular hierarchy that automates model generation across the design space and evaluates seismic performance at multiple hazard levels. Three applications demonstrate its capabilities. First, design‐space exploration identifies building height and wall length as primary drivers of drift demand. Second, a location‐based sustainability optimization determines optimal embodied carbon to satisfy seismic performance targets in high‐seismic regions. Third, a probabilistic vulnerability assessment shows how design variables influence drift fragility as a function of height. By enabling rapid simulation of diverse PT‐CLT configurations, the framework supports validation of simplified design methods, development of performance factors, sensitivity analyses, and data‐driven prediction, with a modular software architecture adaptable to alternative system details.

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Journal
Earthquake Engineering & Structural Dynamics
Published
2026-09-28
DOI
https://doi.org/10.1002/eqe.70302
Primary Topic
Wood Treatment and Properties
Type
article
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article

A Parametric Computational Framework for Modeling and Seismic Design of Post‐Tensioned Mass Timber Rocking Walls

Ghasem Boshrouei Shargh, John W. van de Lindt, André R. Barbosa, Nathan C. Brown
Earthquake Engineering & Structural Dynamics
Wood Treatment and Properties
article

A Parametric Computational Framework for Modeling and Seismic Design of Post‐Tensioned Mass Timber Rocking Walls

Ghasem Boshrouei Shargh, John W. van de Lindt, André R. Barbosa, Nathan C. Brown
article en

Abstract

ABSTRACT Post‐tensioned cross‐laminated timber (PT‐CLT) rocking walls offer a compelling seismic system combining self‐centering behavior with energy dissipation. However, progress in their performance assessment and design has been limited by the lack of a comprehensive parametric modeling tool, as exists for steel or reinforced concrete systems. This paper introduces a parametric, object‐oriented computational framework for PT‐CLT rocking walls, developed in OpenSeesPy for modeling and seismic design validation. The framework represents key components within a modular hierarchy that automates model generation across the design space and evaluates seismic performance at multiple hazard levels. Three applications demonstrate its capabilities. First, design‐space exploration identifies building height and wall length as primary drivers of drift demand. Second, a location‐based sustainability optimization determines optimal embodied carbon to satisfy seismic performance targets in high‐seismic regions. Third, a probabilistic vulnerability assessment shows how design variables influence drift fragility as a function of height. By enabling rapid simulation of diverse PT‐CLT configurations, the framework supports validation of simplified design methods, development of performance factors, sensitivity analyses, and data‐driven prediction, with a modular software architecture adaptable to alternative system details.

Earthquake Engineering & Structural Dynamics
Pennsylvania State University (US), Oregon State University (US), Colorado State University (US)
Responsible consumption and production
Openalex Percentile: Top 16%
Wood Treatment and Properties
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A Parametric Computational Framework for Modeling and Seismic Design of Post‐Tensioned Mass Timber Rocking Walls — Ghasem Boshrouei Shargh, John W. van de Lindt, et al. · Earthquake Engineering & Structural Dynamics (2026) | TGRS Research Map | TGRS