A Novel Hybrid Algorithm for Acceleration Harmonic Estimation and Elimination in Shake Table

A Novel Hybrid Algorithm for Acceleration Harmonic Estimation and Elimination in Shake Table | 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 A Novel Hybrid Algorithm for Acceleration Harmonic Estimation and Elimination in Shake Table R. B. Malathy, Govardhan Bhat Bhat, U.K. Dewangan This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2484394/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Shake table tests instantly submits structure models for seismic excitation and evaluates its overall performance. However, inconsistencies in the amplified seismic output will undoubtedly exist and the desired signals cannot be precisely achieved. The ability to accurately estimate and analyze system harmonics is necessary for building control filters that hinder harmonic levels in the signals. This paper initially focus on studying the key techniques such as time integration algorithms, filtering techniques and metaheuristic optimization methods to understand its applications, and their implementation in shake tables. Then, a novel hybrid algorithm that has the capability of regulating the weights of the unknown parameter of harmonic signal arising in the table is formulated. A simulation and experimental study is carried out and the developed algorithm is also compared to Artificial Bee Colony (ABC) algorithm, Particle Swarm Optimization (PSO) algorithm and Modified Ant Bee Colony-Recursive least squares (MABC-RLS) algorithm, and studied in terms of performance. Finally, future research and application challenges are discussed and underlined. Shake table numerical techniques filtering techniques meta heuristic techniques LabVIEW Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted 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. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-2484394","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":168156884,"identity":"939c11ef-d448-444d-837e-04fb8dce0403","order_by":0,"name":"R. B. 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