Heuristic-based multi-objective optimization design for viscous dampers in RC frame structures considering soil-structure interaction

Abstract

In recent years, optimizing damper placement has become a critical focus in the design of energy dissipation and vibration reduction systems. Current designs frequently assume a fixed-base foundation, often overlooking the effects of Soil-Structure Interaction (SSI). However, the effects of SSI can significantly impact the passive control performance of structures. This paper presents an optimization design method for viscous dampers, incorporating the effects of SSI. First, a numerical model accounting for SSI effects was developed and validated using shaking table test results from a 12-story frame structure. Next, based on heuristic algorithms, four objective function pairs were constructed, and the Non-dominated Sorting Genetic Algorithm II (NSGA-II) and Multi-Objective Particle Swarm Optimization (MOPSO) were applied to the multi-objective optimization design of additional viscous dampers in a 12-story reinforced concrete frame structure. Finally, the multi-objective optimization method was applied to a high-rise cast-in-place RC frame structure, demonstrating the effectiveness and practicality of the damper optimization design method. The results indicate that, in heuristic algorithm optimization, NSGA-II demonstrates relatively stable performance across different conditions compared to MOPSO, with higher solution diversity, better distribution, and reduced sensitivity to objective functions. The correlation between damper positions and responses derived from the optimal solution set obtained through multi-objective optimization provides valuable insights for designers.