Modal Analysis and Frequency Matching Study of Subway Bogie Architecture under Environmental Excitation

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Modal Analysis and Frequency Matching Study of Subway Bogie Architecture under Environmental Excitation | 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 Article Modal Analysis and Frequency Matching Study of Subway Bogie Architecture under Environmental Excitation Longjiang Shen, Shizhong He This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3849686/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 14 Sep, 2024 Read the published version in Scientific Reports → Version 1 posted 13 You are reading this latest preprint version Abstract A wealth of practical cases indicates that the fatigue failure of subway bogies primarily stems from the modal resonance of the structure. If the modal characteristics of the entire vehicle, including equipment and bogies, are mismatched, rail vehicles may experience abnormal vibrations and noise. Therefore, it is imperative to conduct modal analysis and mistuning design for subway vehicle bogies to ensure smooth operation, reduce structural vibrations and noise, and enhance vehicle safety and ride comfort. Modal identification methods under the environmental excitations during vehicle operation were employed to identify the modal parameters of the bogie structure before and after wheel turning and under different load conditions. According to the test results, wheel turning has minimal impact on the modal parameters of the structure, but with an increase in load, the modal frequencies of each order generally increase. This is associated with boundary constraint states, such as the increased stiffness of the bogie air spring with an increase in vehicle load. By comparing the test results with simulation analysis results of the bogie structure under free and constrained states, it is evident that simulating realistic boundary constraint conditions is crucial to ensure the accuracy of the finite element model. Based on frequency isolation criteria and vibration isolation theory, a frequency planning basis for the bogie structure was established. The study found that as the vehicle load increases, changes in the boundary conditions of the bogie affecting the elastic modal frequencies of the structure may have a certain impact on mistuning design, and may even better comply with the requirements of frequency management formulas. This provides a new direction for subsequent scholars researching modal mistuning design. subway bogie modal experiment finite element analysis modal matching Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 14 Sep, 2024 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 03 Jun, 2024 Reviews received at journal 15 May, 2024 Reviews received at journal 11 May, 2024 Reviewers agreed at journal 08 May, 2024 Reviews received at journal 28 Apr, 2024 Reviewers agreed at journal 19 Apr, 2024 Reviewers agreed at journal 18 Apr, 2024 Reviewers agreed at journal 17 Apr, 2024 Reviewers invited by journal 15 Feb, 2024 Editor assigned by journal 15 Feb, 2024 Editor invited by journal 25 Jan, 2024 Submission checks completed at journal 25 Jan, 2024 First submitted to journal 10 Jan, 2024 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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