东南大学学报（自然科学版）2026，Vol.56Issue(9)：1279-1290,12.DOI:10.3969/j.issn.1001-0505.2026.09.006
连体式液体惯性阻尼器布置群体智能优化
Swarm intelligence optimization for linked twin-cylinder fluid inertial damper arrangement
摘要
Abstract
To address torsional vibrations caused by irregular structural layouts and asymmetrical configura-tions,and to ensure the safety,serviceability,and reliability of building structures,a swarm intelligence opti-mization method is proposed for damper arrangement based on linked twin-cylinder fluid inertia dampers(LTCFIDs)and the grey wolf optimization(GWO)algorithm.The theoretical model of the LTCFID for con-trolling structural torsional response is derived.The improved GWO algorithm is employed to optimize damper arrangement parameters with the objective of minimizing structural responses.Both a priori and a pos-teriori solution methods are adopted to achieve the global optimization of damper locations and parameters.It is demonstrated that the intelligent optimal arrangement of the LTCFID can effectively reduce the structure's translational-torsional responses.Finally,compared with the fast and elitist multi-objective non-dominated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ),the improved GWO algorithm is verified to have superior perfor-mance in terms of algorithm efficiency,optimization ability,and stability.关键词
阻尼器布置优化/灰狼优化算法/连体式液体惯性阻尼器/扭转响应/多目标优化Key words
damper arrangement optimization/grey wolf optimization algorithm/linked twin-cylinder fluid inertial damper/torsional response/multi-objective optimization algorithm分类
建筑与水利引用本文复制引用
项平,俞嘉俊..连体式液体惯性阻尼器布置群体智能优化[J].东南大学学报（自然科学版）,2026,56(9):1279-1290,12.基金项目
国家自然科学基金面上资助项目(52278525). （52278525）
