{"title":"Stationary response of MDOF hysteretic system under random excitation","authors":"Mao Lin Deng, Wei Qiu Zhu, Qiang Feng Lü","doi":"10.1016/j.ijnonlinmec.2024.104994","DOIUrl":null,"url":null,"abstract":"<div><div>Hysteretic nonlinearity is a common phenomenon in engineering fields, and many mathematical models have been developed to describe it. In theory, hysteretic restoring forces are generally decomposed into equivalent stiffness and equivalent damping. However, due to the complexity of hysteretic nonlinearity, obtaining analytical expressions for these equivalent components is extremely challenging. In terms of theoretical methods, most existing research focuses on single-degree-of-freedom (SDOF) hysteretic systems, and there are few analytical solutions for multi-degree-of-freedom (MDOF) hysteretic systems. This paper proposes a method for studying the response of stochastically excited MDOF hysteretic systems. Using the Bouc-Wen hysteretic model as an example, the expressions for the equivalent stiffness and damping coefficients are obtained. By applying the stochastic averaging method, the statistics of the system response can be obtained. An example is given to illustrate this method, and the numerical results show that this method can accurately predict the response of MDOF hysteretic systems under random excitation.</div></div>","PeriodicalId":50303,"journal":{"name":"International Journal of Non-Linear Mechanics","volume":"170 ","pages":"Article 104994"},"PeriodicalIF":2.8000,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Non-Linear Mechanics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0020746224003597","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MECHANICS","Score":null,"Total":0}
引用次数: 0
Abstract
Hysteretic nonlinearity is a common phenomenon in engineering fields, and many mathematical models have been developed to describe it. In theory, hysteretic restoring forces are generally decomposed into equivalent stiffness and equivalent damping. However, due to the complexity of hysteretic nonlinearity, obtaining analytical expressions for these equivalent components is extremely challenging. In terms of theoretical methods, most existing research focuses on single-degree-of-freedom (SDOF) hysteretic systems, and there are few analytical solutions for multi-degree-of-freedom (MDOF) hysteretic systems. This paper proposes a method for studying the response of stochastically excited MDOF hysteretic systems. Using the Bouc-Wen hysteretic model as an example, the expressions for the equivalent stiffness and damping coefficients are obtained. By applying the stochastic averaging method, the statistics of the system response can be obtained. An example is given to illustrate this method, and the numerical results show that this method can accurately predict the response of MDOF hysteretic systems under random excitation.
期刊介绍:
The International Journal of Non-Linear Mechanics provides a specific medium for dissemination of high-quality research results in the various areas of theoretical, applied, and experimental mechanics of solids, fluids, structures, and systems where the phenomena are inherently non-linear.
The journal brings together original results in non-linear problems in elasticity, plasticity, dynamics, vibrations, wave-propagation, rheology, fluid-structure interaction systems, stability, biomechanics, micro- and nano-structures, materials, metamaterials, and in other diverse areas.
Papers may be analytical, computational or experimental in nature. Treatments of non-linear differential equations wherein solutions and properties of solutions are emphasized but physical aspects are not adequately relevant, will not be considered for possible publication. Both deterministic and stochastic approaches are fostered. Contributions pertaining to both established and emerging fields are encouraged.