Resilience based seismic design of CLT coupled walls and Glulam moment resisting frame system

Seismic design philosophies have evolved significantly over the past several decades, shifting from life safety focused – prescriptive methods – towards approaches that also consider post-earthquake recovery, economic losses, and social impacts. This transition has led to the emergence of Resilience-Based Seismic Design (RBSD). While RBSD has been explored for concrete- and steel-based structural systems, its application to timber structures remains limited. Accordingly, this study develops a novel RBSD framework for a 20-storey timber building combining Cross-Laminated Timber Coupled Walls (CLTCWs) and a Glulam Moment-Resisting Frame (GMRF) to resist lateral loads. A baseline system is designed and assessed using FEMA P-58 methodology and the TREADS repair time model under multiple seismic intensity levels. Using this baseline, a Multi-Objective Optimization (MOO) framework is formulated with conflicting objectives: minimizing structural strength demands while maximizing its resilience. A dynamic deep learning-based surrogate model is trained to predict seismic performance across varying design parameters. Non-dominated Pareto-optimal solutions are obtained using a genetic algorithm and further evaluated through nonlinear time–history analyses. Results show that the optimized solutions achieve notable improvements in both structural efficiency and resilience performance compared to the baseline system. This research contributes a flexible and data-driven methodology for advancing the design of resilient, high-performance tall timber buildings. • A RBSD framework is proposed, employing a MOO approach that integrates deep-learning-based surrogate models with genetic algorithms. • The framework incorporates the FEMA P-58 methodology and TREADS repair time model, enabling comprehensive resilience. • The framework is applied to the design of a 20-storey innovative timber-based dual system system. • Through the RBSD process, optimal design parameters are determined, accounting for the complex interactions between the dual system components. • It provides a novel decision-making tool, enabling stakeholders to quantitatively balance seismic safety, economic losses, and functional recovery objectives within a unified framework.