Dynamic modeling and vibration response experiment of clamp-pipeline system with soft nonlinearity

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A new four-degree-of-freedom nonlinear clamp model was developed and validated experimentally to accurately predict pipeline system vibration responses by incorporating nonlinear stiffness and damping coefficients.

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This paper studied dynamic vibration behavior of a metal rubber clamp–pipeline system, focusing on how clamp “soft nonlinearity” affects system dynamics. Using finite element modeling combined with genetic algorithm–based parameter identification (four degrees of freedom), the authors built a nonlinear clamp model and verified it with modal tests and vibration response experiments under different boundary conditions, comparing simulation and experiment with generally consistent results. They further analyzed how nonlinear stiffness coefficient, nonlinear damping coefficient, and excitation amplitude influence pipeline vibration response. The work is presented as a preprint with later publication status, and the abstract does not state additional limitations beyond the stated modeling and experimental verification framework. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

As an important supporting component, metal rubber clamp often generates nonlinear force and brings complex dynamics to pipeline system. However, the nonlinear of metal rubber clamps in pipeline system has been rarely incorporated in the open research. Therefore, based on genetic algorithm and finite element method, a new nonlinear clamp model with four degrees of freedom is proposed by introducing identified nonlinear parameters. The nonlinear parameters are identified by genetic algorithm in which the objective function is the error between experiment and simulation, and the nonlinear clamp-pipeline model is verified by modal test and vibration response experiment under different boundary conditions. The results show the numerical results are basically consistent with the experimental results. Moreover, the effects of clamp nonlinear stiffness coefficient, nonlinear damping coefficient, and excitation amplitude on vibration response of pipeline system are analyzed. The developed model can consider the nonlinear effect of pipeline system, so as to predict the vibration response more accurately.
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Dynamic modeling and vibration response experiment of clamp-pipeline system with soft nonlinearity | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Dynamic modeling and vibration response experiment of clamp-pipeline system with soft nonlinearity Yiming Cao, Weijiao Chen, Hui Ma, Hui Li, Bing Wang, Li Tan, Xin Wang, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2392064/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 14 Aug, 2023 Read the published version in Nonlinear Dynamics → Version 1 posted 5 You are reading this latest preprint version Abstract As an important supporting component, metal rubber clamp often generates nonlinear force and brings complex dynamics to pipeline system. However, the nonlinear of metal rubber clamps in pipeline system has been rarely incorporated in the open research. Therefore, based on genetic algorithm and finite element method, a new nonlinear clamp model with four degrees of freedom is proposed by introducing identified nonlinear parameters. The nonlinear parameters are identified by genetic algorithm in which the objective function is the error between experiment and simulation, and the nonlinear clamp-pipeline model is verified by modal test and vibration response experiment under different boundary conditions. The results show the numerical results are basically consistent with the experimental results. Moreover, the effects of clamp nonlinear stiffness coefficient, nonlinear damping coefficient, and excitation amplitude on vibration response of pipeline system are analyzed. The developed model can consider the nonlinear effect of pipeline system, so as to predict the vibration response more accurately. metal rubber clamp pipeline system soft nonlinearity transmissibility test parameter identification Full Text Cite Share Download PDF Status: Published Journal Publication published 14 Aug, 2023 Read the published version in Nonlinear Dynamics → Version 1 posted Editorial decision: Major revisions 08 Mar, 2023 Reviewers agreed at journal 22 Jan, 2023 Reviewers invited by journal 21 Jan, 2023 Editor assigned by journal 19 Dec, 2022 First submitted to journal 18 Dec, 2022 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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