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Hybrid brace is an emerging class of seismic resilient members capable of providing satisfactory energy dissi-pation with extra promising characteristics such as self-centering capability. Due to the multi-parameter nature of such braces, the design is often challenging. To address this issue, a general optimization framework for the optimal design of multi-parameter hybrid braced structures is proposed. The main steps include: selecting optimization parameters, establishing sample database, formulating machine learning strategy, conducting automatic design and cost calculation, and optimizing the multi-objective problem through the genetic algo-rithm. The framework is illustrated via a case study considering a viscoelastic self-centering braced steel frame. Various seismic responses, e.g., inter-story drift and floor acceleration, of the considered frame are mitigated simultaneously with no cost increase after the optimization. It is envisaged that the application of the proposed optimization framework can be readily extended to other complex systems which are difficult to design via traditional methods.
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OAAI
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OAAI分享收藏分享收藏Self-centering energy dissipative bracing system for the seismic resistance of structures: Development and validation用于结构抗震的自定心能量耗散支撑系统: 开发和验证
PREAI
分享收藏Self-centering structural systems with combination of hysteretic and viscous energy dissipations
PREAI
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