结构振动双调谐质量阻尼器多目标优化设计

IF 2.2 3区 工程技术 Q2 MECHANICS Archive of Applied Mechanics Pub Date : 2023-03-14 DOI:10.1007/s00419-023-02376-6
Huong Quoc Cao, Ngoc-An Tran
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引用次数: 2

摘要

提出了一种用于土木结构振动抑制的双调谐质量阻尼器(DTMD)。DTMD是无阻尼TMD和较小TMD的组合。研究了参数对DTMD基本特性和吸振能力的影响。在较宽激励频率范围内,通过最小化结构响应的峰值动态放大因子,利用遗传算法确定了DTMD的最优参数。并与权重相近的优化后的TMD进行了有效性和鲁棒性比较。此外,本文还研究了双目标和三目标的多目标优化设计。本研究表明,复合TMD比单一TMD更有效。在保持与优化后的TMD相似的效率的情况下,优化后的TMD在选择频率和阻尼比方面具有更大的范围。从这个意义上说,DTMD比单个TMD健壮得多。
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Multi-objective optimal design of double tuned mass dampers for structural vibration control

A double tuned mass damper (DTMD) for suppressing oscillations of civil structures is proposed in this study. DTMD is a combination of an undamped TMD and a smaller TMD. The impact of parameters on the essential characteristics, as well as the vibration absorption capacity of DTMD, is investigated. Using genetic algorithms (GA), the optimum parameters of DTMD are determined by minimizing the peak dynamic magnification factor of structural responses for a wide range of excitation frequencies. The effectiveness and robustness of DTMD are also compared with those of the optimized TMD having a similar weight as the DTMD. Furthermore, multi-objective optimization designs of DTMD (for both two-objective and three-objective) are also developed here. This study indicates that the DTMD is more effective than a single TMD. If keeping a similar efficiency to that of an optimized TMD, the optimum DTMD has a broader domain for choosing the frequency and damping ratio. In this sense, a DTMD is much more robust than a single TMD.

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来源期刊
CiteScore
4.40
自引率
10.70%
发文量
234
审稿时长
4-8 weeks
期刊介绍: Archive of Applied Mechanics serves as a platform to communicate original research of scholarly value in all branches of theoretical and applied mechanics, i.e., in solid and fluid mechanics, dynamics and vibrations. It focuses on continuum mechanics in general, structural mechanics, biomechanics, micro- and nano-mechanics as well as hydrodynamics. In particular, the following topics are emphasised: thermodynamics of materials, material modeling, multi-physics, mechanical properties of materials, homogenisation, phase transitions, fracture and damage mechanics, vibration, wave propagation experimental mechanics as well as machine learning techniques in the context of applied mechanics.
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