Comparing Optimization Approaches in the Direct Displacement-Based Design of Tall Mass Timber Lateral Systems
Publication: Computing in Civil Engineering 2023
ABSTRACT
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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Published online: Jan 25, 2024
ASCE Technical Topics:
- Algorithms
- Analysis (by type)
- Building materials
- Continuum mechanics
- Displacement (mechanics)
- Earthquake engineering
- Engineering fundamentals
- Engineering materials (by type)
- Engineering mechanics
- Geotechnical engineering
- High-strength steel
- Materials engineering
- Mathematics
- Metals (material)
- Numerical analysis
- Seismic effects
- Seismic tests
- Solid mechanics
- Steel
- Structural mechanics
- System analysis
- Tests (by type)
- Wood and wood products
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