Multi-objective optimization of double curvature arch dams subjected to seismic loading using charged system search

TL;DR

This study introduces a multi-objective optimization approach for double curvature arch dams under seismic loading, using a novel charged system search algorithm to efficiently generate Pareto solutions for minimizing volume and stress.

Contribution

It develops a new multi-objective charged system search algorithm specifically for optimizing arch dams considering seismic effects, providing a set of Pareto optimal solutions.

Findings

The proposed method effectively generates Pareto solutions for dam design.

The algorithm outperforms existing optimization techniques in efficiency.

Results demonstrate the method's applicability to real-world dam structures.

Abstract

This paper presents a multi-objective formulation for optimization of arch dams. The objective is to simultaneously minimize the concrete volume and stress state of the dam body. Instead of a single design, the multi-objective problem provides a set of Pareto solutions in which a decision maker approach can select best answer according to its preferences. To solve this new problem, a multi-objective charged system search as an efficient meta-heuristic is also developed. The proposed algorithm is evaluated on a real-size double curvature arch dam. The computational results show that the proposed methodology is highly competitive with existing arch dam optimization algorithms.