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April 1, 2026Buildings0 citationsOpen Access

Resilience-Based Seismic Optimization of Buildings Using Tuned Mass Dampers

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LWLixin WangJLJianfu LinSLSijian Lin

Key Points

  • This research aims to develop a framework for optimizing Tuned Mass Dampers (TMDs) to improve building resilience during seismic events.
  • Developed a multi-objective tuning framework for TMDs.
  • Employed a multi-objective optimization algorithm (HBA).
  • Assessed TMD placement and parameters considering different soil types and earthquake records.
  • Achieved a 17% reduction in roof displacement on soft soil.
  • Reduced displacement by 7% in fixed-base conditions.
  • Noted a 4% reduction in dense soil conditions.
  • Observed variability in outcomes, with reductions ranging from 0.8% to 26% based on earthquake records.

Abstract

A multi-objective tuning framework for optimizing Tuned Mass Damper (TMD) systems is presented. This framework optimizes the controlling parameters of TMDs while considering building resilience. The employed optimizer is the multi-objective HBA. Since TMDs are used in tall structures to mitigate seismic-induced structural responses, the proposed framework must be applicable to real-world scenarios; therefore, it determines both the placement and parameters of TMDs by accounting for the effects of various soil types and multiple earthquake records. Based on the obtained results, the optimal TMDs achieved an average roof-displacement reduction of 17% in soft soil, 7% in fixed-base conditions, and only 4% in dense soil, highlighting the decisive influence of soil–structure interaction on system efficiency. Moreover, there was considerable outcome variability across different earthquake records—ranging from 0.8% to 26% reduction—along with the observed negative effect (response amplification of up to 13.9% in certain fixed-base cases), which occurs when the TMD becomes detuned relative to the dominant frequency of the specific ground motion. This confirms the necessity for a robust design approach that simultaneously considers an ensemble of ground motions rather than optimizing for a single record.

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Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/69ccb68116edfba7beb88367https://doi.org/10.3390/buildings16071360
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