TY - GEN
T1 - Comparing Optimization Approaches in the Direct Displacement-Based Design of Tall Mass Timber Lateral Systems
AU - Zargar, Seyed Hossein
AU - Uarac, Patricio
AU - Barbosa, Andre R.
AU - Sinha, Arijit
AU - Simpson, Barbara
AU - Van De Lindt, John W.
AU - Brown, Nathan C.
N1 - Publisher Copyright:
© ASCE 2023.All rights reserved.
PY - 2024
Y1 - 2024
N2 - Numerical analyses can aid design exploration, but there are several computational approaches available to consider design options. These range from "brute-force" search to optimization. However, the implementation of optimization can be challenging for the complex, time-intensive analyses required to assess seismic performance. In response to this challenge, this study tests several optimization strategies for the direct displacement-based design of a lateral force-resisting system (LFRS) using mass timber panels with U-shaped flexural plates (UFPs) and post-tensioning high-strength steel rods. The study compares two approaches: (1) a brute-force sampling of designs and data filtering to determine acceptable solutions; and (2) various automated optimization algorithms. The differential evolution algorithm was found to be the most efficient and robust approach, saving 90% of computational cost compared to brute-force sampling while producing comparable solutions. However, every optimization formulation did not return best range of design options, often requiring reformulation or hyperparameter tuning to ensure effectiveness.
AB - Numerical analyses can aid design exploration, but there are several computational approaches available to consider design options. These range from "brute-force" search to optimization. However, the implementation of optimization can be challenging for the complex, time-intensive analyses required to assess seismic performance. In response to this challenge, this study tests several optimization strategies for the direct displacement-based design of a lateral force-resisting system (LFRS) using mass timber panels with U-shaped flexural plates (UFPs) and post-tensioning high-strength steel rods. The study compares two approaches: (1) a brute-force sampling of designs and data filtering to determine acceptable solutions; and (2) various automated optimization algorithms. The differential evolution algorithm was found to be the most efficient and robust approach, saving 90% of computational cost compared to brute-force sampling while producing comparable solutions. However, every optimization formulation did not return best range of design options, often requiring reformulation or hyperparameter tuning to ensure effectiveness.
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U2 - 10.1061/9780784485248.085
DO - 10.1061/9780784485248.085
M3 - Conference contribution
AN - SCOPUS:85184131685
T3 - Computing in Civil Engineering 2023: Resilience, Safety, and Sustainability - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023
SP - 705
EP - 713
BT - Computing in Civil Engineering 2023
A2 - Turkan, Yelda
A2 - Louis, Joseph
A2 - Leite, Fernanda
A2 - Ergan, Semiha
PB - American Society of Civil Engineers (ASCE)
T2 - ASCE International Conference on Computing in Civil Engineering 2023: Resilience, Safety, and Sustainability, i3CE 2023
Y2 - 25 June 2023 through 28 June 2023
ER -