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

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. • 1.A mechanical model of SSI system with viscous dampers is developed and validated by shaking table tests. 2.The influence of soil–structure interaction is comprehensively considered in damper optimization design. 3.NSGA-II and MOPSO algorithms are used for multi-objective optimization of dampers in a 12-story RC frame.

Authors

Institutions

Publication Details

Journal
Soil Dynamics and Earthquake Engineering
Published
2025-07-24
DOI
https://doi.org/10.1016/j.soildyn.2025.109684
Primary Topic
Seismic Performance and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Jinping Yang, Peizhen Li, Tianhang Zhang, Tingting Cai
1 links
Soil Dynamics and Earthquake Engineering
Seismic Performance and Analysis
article

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

Jinping Yang, Peizhen Li, Tianhang Zhang, Tingting Cai
article en

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. • 1.A mechanical model of SSI system with viscous dampers is developed and validated by shaking table tests. 2.The influence of soil–structure interaction is comprehensively considered in damper optimization design. 3.NSGA-II and MOPSO algorithms are used for multi-objective optimization of dampers in a 12-story RC frame.

Soil Dynamics and Earthquake EngineeringVol. 199
Tongji University (CN), Henan University of Technology (CN)
Life in Land
Openalex Percentile: Top 81%
Seismic Performance and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.