Author(s)

Xuewen Shu

Corresponding Author

Xuewen Shu

Abstract

Aiming at the problems of traditional seismic design methods, such as single goal, large evaluation deviation and ignoring post-earthquake recoverability, this paper proposes a multi-objective optimization and performance evaluation method for seismic structures of building projects, which combines improved MOEA/D algorithm and cloud model fuzzy decision. Firstly, a three-dimensional objective function system of safety-economy-recoverability with structural weight, maximum inter-story displacement angle and residual displacement ratio as the core is constructed, and adaptive weight adjustment and gradient enhancement local search mechanism are introduced to improve the convergence and distribution uniformity of Pareto solution set under high-dimensional nonlinear constraints. Secondly, a three-level seismic performance evaluation index system is established, and the quantitative index is transformed into "excellent, good, medium and poor" qualitative grade by cloud model, and the comprehensive performance quantitative evaluation and scheme optimization are realized by combining AHP- entropy weight method. Case analysis shows that this method can obtain a series of optimization schemes with balanced performance, among which the balanced scheme is superior to the traditional design in terms of material consumption, seismic safety and post-earthquake recoverability, which verifies the effectiveness and engineering practicability of the proposed method in improving the seismic performance and green low-carbon benefits of the structure.

Keywords

Building engineering, Multi-objective optimization, Performance evaluation, Seismic structure design, MOEA/D algorithm