Precursor characteristics of rock bursts in section coal pillars based on geoacoustic monitoring

Precursor characteristics of rock bursts in section coal pillars based on geoacoustic monitoring | 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 Precursor characteristics of rock bursts in section coal pillars based on geoacoustic monitoring Chuang LU, Wen-jun Ju, Yong-xue Xia, Shao-hong Yan, Guan-yu Yang, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8676256/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 13 You are reading this latest preprint version Abstract Identifying precursor characteristics information before rock bursts occur is crucial for monitoring, early warning, and prevention. Taking Panel 3-1103 in a mine of the Xinjie Mining Area as an example, cyclic loading-unloading uniaxial compression acoustic emission (AE) tests on coal samples were conducted, and geosound monitoring data before the "11.27" rock burst case were analyzed. This revealed the temporal variation patterns of energy and ring-down count (frequency) in AE signals during cyclic loading-unloading tests. These patterns were comparatively analyzed with precursor geosound characteristics of rock bursts in high-stress wide-section coal pillars. Based on this, a precursor characteristic identification model for rock bursts was constructed using the Mann-Kendall trend test method and validated through engineering applications. The research shows that:① Both AE signals from cyclic loading tests on coal samples and pre-burst geosound monitoring results exhibited a "fluctuating growth" trend, with highly similar stage activity intensities and frequencies. Within the same cyclic stage, energy and ring-down count (frequency) showed an increase-decrease pattern. Across different stages, peak values of energy and ring-down count (frequency) in later stages were higher than those in earlier stages.② Analysis of minute-level, hourly-level, and shift-level energy and deviation values before the "11.27" rock burst indicated that shift energy and deviation values exhibited distinct precursor characteristics.③ The precursor identification model for rock bursts in high-stress wide-section coal pillars, constructed via the Mann-Kendall trend test method, was applied to the "11.27" case, demonstrating its capability to detect precursor information before rock bursts.④ Validation using geosound data from the "6.10", "6.14", and "8.26" rock burst events achieved early warnings 8 h–32 h in advance. This model effectively identifies precursor characteristics of rock bursts in high-stress wide-section coal pillars, providing a reference for early warning of similar events. Physical sciences/Energy science and technology Physical sciences/Engineering Earth and environmental sciences/Natural hazards Earth and environmental sciences/Solid earth sciences rock burst wide-section coal pillar precursor characteristics cyclic loading Mann-Kendall Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 27 Apr, 2026 Reviews received at journal 05 Apr, 2026 Reviews received at journal 21 Mar, 2026 Reviewers agreed at journal 18 Mar, 2026 Reviewers agreed at journal 17 Mar, 2026 Reviewers agreed at journal 17 Mar, 2026 Reviews received at journal 11 Feb, 2026 Reviewers agreed at journal 27 Jan, 2026 Reviewers invited by journal 27 Jan, 2026 Editor invited by journal 27 Jan, 2026 Editor assigned by journal 23 Jan, 2026 Submission checks completed at journal 23 Jan, 2026 First submitted to journal 23 Jan, 2026 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-8676256","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":581186189,"identity":"57b8b7a3-f50a-4c32-bdbb-efb5fc9a45cc","order_by":0,"name":"Chuang 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Taking Panel 3-1103 in a mine of the Xinjie Mining Area as an example, cyclic loading-unloading uniaxial compression acoustic emission (AE) tests on coal samples were conducted, and geosound monitoring data before the \"11.27\" rock burst case were analyzed. This revealed the temporal variation patterns of energy and ring-down count (frequency) in AE signals during cyclic loading-unloading tests. These patterns were comparatively analyzed with precursor geosound characteristics of rock bursts in high-stress wide-section coal pillars. Based on this, a precursor characteristic identification model for rock bursts was constructed using the Mann-Kendall trend test method and validated through engineering applications. The research shows that:① Both AE signals from cyclic loading tests on coal samples and pre-burst geosound monitoring results exhibited a \"fluctuating growth\" trend, with highly similar stage activity intensities and frequencies. Within the same cyclic stage, energy and ring-down count (frequency) showed an increase-decrease pattern. Across different stages, peak values of energy and ring-down count (frequency) in later stages were higher than those in earlier stages.② Analysis of minute-level, hourly-level, and shift-level energy and deviation values before the \"11.27\" rock burst indicated that shift energy and deviation values exhibited distinct precursor characteristics.③ The precursor identification model for rock bursts in high-stress wide-section coal pillars, constructed via the Mann-Kendall trend test method, was applied to the \"11.27\" case, demonstrating its capability to detect precursor information before rock bursts.④ Validation using geosound data from the \"6.10\", \"6.14\", and \"8.26\" rock burst events achieved early warnings 8 h–32 h in advance. This model effectively identifies precursor characteristics of rock bursts in high-stress wide-section coal pillars, providing a reference for early warning of similar events.","manuscriptTitle":"Precursor characteristics of rock bursts in section coal pillars based on geoacoustic monitoring","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-01-29 13:56:27","doi":"10.21203/rs.3.rs-8676256/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2026-04-27T06:44:38+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-04-06T03:11:50+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-03-21T07:10:32+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"182363989947870915292991267848890176613","date":"2026-03-19T02:58:34+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"222380556831061516953128845364101539308","date":"2026-03-17T13:16:48+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"191463908121787941287522258637147462839","date":"2026-03-17T13:07:56+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-02-11T08:05:26+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"288398233780961567815394225780832308254","date":"2026-01-27T13:33:50+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2026-01-27T13:06:46+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2026-01-27T12:36:28+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2026-01-24T04:48:31+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2026-01-24T04:48:24+00:00","index":"","fulltext":""},{"type":"submitted","content":"Scientific Reports","date":"2026-01-23T07:15:36+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"926890b4-4b03-4a47-b0ae-c8ffefb95ab5","owner":[],"postedDate":"January 29th, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[{"id":61829029,"name":"Physical sciences/Energy science and technology"},{"id":61829030,"name":"Physical sciences/Engineering"},{"id":61829031,"name":"Earth and environmental sciences/Natural hazards"},{"id":61829032,"name":"Earth and environmental sciences/Solid earth sciences"}],"tags":[],"updatedAt":"2026-05-10T05:53:14+00:00","versionOfRecord":[],"versionCreatedAt":"2026-01-29 13:56:27","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8676256","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8676256","identity":"rs-8676256","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}