Research on multi-source information responses and instability warning in the deformation and failure process of coal and rock

Research on multi-source information responses and instability warning in the deformation and failure process of coal and rock | 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 Research on multi-source information responses and instability warning in the deformation and failure process of coal and rock Hui Cai, Hao Wang, Tao Huang, Chaohong Shi, Xinshuai Shi, Yang Chen, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7485826/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 26 Nov, 2025 Read the published version in Scientific Reports → Version 1 posted 10 You are reading this latest preprint version Abstract In order to study the multi-parameter precursor information in the damage destruction process of coal rock. In this paper, based on the independently designed integrated acoustic-electrical-wave test system for the whole process of rupture instability of loaded coal rock body, we carried out the simultaneous testing and analysis of multi-source physical information, such as acoustic emission, ultrasonic wave velocity, resistivity and so on, during the damage process of uniaxial compression instability of different types of coal rock samples, to explore the intrinsic connection of the precursor information of acoustic emission, wave velocity, resistivity and so on during the damage process of coal rock body rupture and instability and to put forward a precursor early warning model of coal rock damage based on the fusion of multi-source information. The results show that the response law of acoustic emission signals reflects the breeding and development process of internal damage deterioration of coal rock samples. The macro wave velocity change characteristics can effectively reflect the development of internal cracks and pores in the coal rock. The change law of apparent electrical resistivity of the loaded coal rock body has a better correspondence with the stress state of the coal rock body, which can better reflect the internal damage of the coal rock body. The proposed model is to integrate acoustic emission, wave velocity, resistivity and other precursor information into a BP neural network as a carrier, fusing acoustic emission, ultrasonic and apparent resistivity and other multi-source information, coal rock damage destabilization precursor warning model is proposed. Physical sciences/Energy science and technology Physical sciences/Engineering Earth and environmental sciences/Natural hazards Earth and environmental sciences/Solid earth sciences Coal and rock Deformation and failure process multi-source monitoring Instability warning Acoustic emission Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 26 Nov, 2025 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 22 Sep, 2025 Reviews received at journal 21 Sep, 2025 Reviews received at journal 20 Sep, 2025 Reviewers agreed at journal 08 Sep, 2025 Reviewers agreed at journal 03 Sep, 2025 Reviewers invited by journal 03 Sep, 2025 Editor assigned by journal 03 Sep, 2025 Editor invited by journal 03 Sep, 2025 Submission checks completed at journal 02 Sep, 2025 First submitted to journal 02 Sep, 2025 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. 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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-7485826","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":511624056,"identity":"67eddcdd-0480-421b-ac13-3fdffeae2d07","order_by":0,"name":"Hui Cai","email":"","orcid":"","institution":"Shandong Energy Group Company Limited","correspondingAuthor":false,"prefix":"","firstName":"Hui","middleName":"","lastName":"Cai","suffix":""},{"id":511624057,"identity":"9a64fc95-8cd3-4818-ac64-815f32d94d20","order_by":1,"name":"Hao Wang","email":"","orcid":"","institution":"Shandong Energy Group Company 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