Optimizing displacement-based seismic design of mass timber rocking walls using genetic algorithm

This paper presents a rational procedure to optimize design for mass timber rocking wall systems utilizing genetic algorithm (GA) beyond typical displacement-based metrics wood buildings. Traditional is limited simple displacement targets, with optimization techniques (GA), it feasibly consider more performance chrematistics (e.g. costs, serviceability, etc.). By formulating drift targets and other structural limit states within an elimination step of the GA process, method proposed here optimizes multiple criteria that factor much than lateral in seismic analysis. type difficult perform using traditional manual trial-and-error approaches. An existing simplified nonlinear time-history simulation model (validated through full-scale shake table test data) employed this process. The example building Seattle six-story presented procedure. results revealed system can be achieved reasonable time frame method. Even though same limits were applied, final designs produced by varied, depending on objectives. demonstrates how could readily improved computerized tools aspects including cost.