Response mitigations of adjacent structure with MPTMD under real and stochastic excitations

Abstract

As urbanization increases, the demand for constructing nearby structures has risen, leading to a higher likelihood of adjacent buildings having different dynamic characteristics. This, in turn, increases the probability of structural impacts, which often result in significant or partial damage. This paper proposes multiple elastoplastic-tuned mass damper systems (MPTMD) to mitigate the damage caused to nearby structures due to seismic events. The system’s performance is evaluated regarding impact force and the reduction in the Park-Ang damage index. For this purpose, two steel-framed buildings—one 6-story and one 10-story—are modeled nonlinearly using OpenSees software, incorporating connection springs (concentrated plasticity) to represent the structures. After modeling the structures, the MPTMD system is applied at different stages to control the dynamic responses, mitigate the impact between the structures, and reduce the Park-Ang damage index. The performance of the MPTMD system is optimized using the Particle Swarm Optimization (PSO) algorithm. The optimization process calculates the optimal placement and parameters of the MPTMD system under two objective functions: the first function aims to minimize the Park-Ang damage index of all structures, while the second focuses on reducing the maximum impact force between the adjacent structures. The results indicate that by optimally configuring the MPTMD parameters with the first objective function, the system not only significantly reduces the Park-Ang damage index of the structures and their stories but also substantially minimizes the maximum impact force, maximum energy, maximum kinetic energy, and maximum drift of the stories, thereby improving overall structural performance.