连体式液体惯性阻尼器布置群体智能优化OA

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.