Optimizing steel arch bridge components using multi-objective harmony search

doi:10.1016/j.istruc.2025.108389

2025-03-01

PRE

DOI：10.1016/j.istruc.2025.108389

原文链接

原文求助

摘要

En 中文

Steel arch bridges have excellent aesthetics and load-resisting performance, but they have complex structural behavior characteristics depending on their structural shape. Therefore, much effort is needed to determine an efficient section by considering safety and economy due to changes in the cross-section or steel grade of members. In this study, a method for determining the cross-section and steel grade of members of steel arch bridges was proposed by applying a multi-objective harmony search algorithm, considering economy, safety, and workability. In the Harmony search algorithm, steel grades and cost coefficients considering various yield strength levels were considered to evaluate the economy, and structural analysis was included for safety evaluation. In addition, Pareto optimality and crowding distance concepts were applied to determine the crosssection specifications and steel grade for multi-objective functions. Optimization to determine the crosssectional dimensions and steel grades of the steel arch bridge was conducted separately for cases with two and three objective functions. Variations in cost coefficients for hanger members and steel grades were analyzed to examine differences in the results. The analysis revealed that cross-sections can be determined based on cost scenarios, and box-type cross-sections were evaluated to be more advantageous for hanger members in terms of the considered objective function. From the optimization process proposed in this study, the optimized crosssectional dimensions and steel grades for the steel arch bridge could be considered to provide effective solutions that meet the design criteria while addressing the trade-offs between economy, safety, and workability.

Keyword:

Steel arch bridge

Multi-objective harmony search

Section and steel grade determination

Economic and safety evaluation

Efficient design