A New Classification Method of Surrounding Rock Quality for Phyllite Tunnels under the Condition of Layer Orientation Parallel to the orientation of tunnel Axis

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This preprint studied surrounding rock quality classification for phyllite tunnels specifically under the condition that bedding layer orientation is parallel to the tunnel axis, addressing limitations of the hydropower “HC method” in anisotropic layered rock. The authors performed uniaxial compression tests on phyllite to quantify anisotropy at bedding angles of 0°, 45°, and 90°, finding compressive strength varied in a V-shaped pattern with bedding/loading angle while deformation modulus decreased linearly with angular deviation; they then used numerical simulations to examine tunnel deformation across multiple bedding-to-tunnel axis angles. They reported that applying the traditional HC method under parallel-layer conditions yielded only 13.33% agreement with field investigations, and that adjusting the major structural joint occurrence score and incorporating simulation-derived weight ratios increased agreement to 100%. Relevance to endometriosis: the paper is not about endometriosis or adenomyosis, but it was included in the corpus via a keyword match related to tunnel/biomedical-corpus indexing rather than any cited connection to these conditions.

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Abstract Surrounding rock classification is a critical factor in evaluating tunnel stability, determining construction methods, and selecting support parameters. Various engineering sectors utilize different methods for grading tunnel surrounding rock quality. The HC method iswidely adopted in the hydropower industry for this purpose. However, due to the anisotropy of layered phyllite, the classification results obtained using the HC method for phyllite tunnels—when the layer orientation is parallel to the tunnel axis-differ significantly from those based on actual field investigations. This study conducted uniaxial compression tests on rocks, revealing that layered phyllite exhibits notable anisotropy at bedding angles of 0°, 45°, and 90°. The compressive strength follows a V-shaped trend as the angle between the bedding and loading orientations changes, while the deformation modulus decreases linearly with increasing angular deviation between the loading orientation and tunnel axis. Numerical simulations were performed to observe tunnel deformation at various bedding-to-tunnel axis angles. Results showed that, as the bedding angle decreases, deformation of the tunnel wall and crown increases progressively. At angles of 0°, 30°, 45°, 60°, and 90°, the deformation ratios for the tunnel wall were 1:3.7:3:4.74:5.44:7.7, and for the tunnel crown, the ratios were 1:1.3:1.94:4.7:6.7. When the traditional HC method was used to classify the surrounding rock in tunnels with parallel phyllite layers, the agreement rate was only 13.33%, indicating low accuracy. By modifying the occurrence score for major structural joints and incorporating the weight ratios derived from numerical simulations, the HC method’s accuracy improved, achieving an agreement rate of 100%. This study enhances the precision and applicability of surrounding rock classification and offers valuable insights for tunnel construction.
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A New Classification Method of Surrounding Rock Quality for Phyllite Tunnels under the Condition of Layer Orientation Parallel to the orientation of tunnel Axis | 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 New Classification Method of Surrounding Rock Quality for Phyllite Tunnels under the Condition of Layer Orientation Parallel to the orientation of tunnel Axis Jing Yang, Chengfeng Wu, Rui Zeng, Ping Wang, Yupeng Lu, Hao Man, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5787047/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 Surrounding rock classification is a critical factor in evaluating tunnel stability, determining construction methods, and selecting support parameters. Various engineering sectors utilize different methods for grading tunnel surrounding rock quality. The HC method iswidely adopted in the hydropower industry for this purpose. However, due to the anisotropy of layered phyllite, the classification results obtained using the HC method for phyllite tunnels—when the layer orientation is parallel to the tunnel axis-differ significantly from those based on actual field investigations. This study conducted uniaxial compression tests on rocks, revealing that layered phyllite exhibits notable anisotropy at bedding angles of 0°, 45°, and 90°. The compressive strength follows a V-shaped trend as the angle between the bedding and loading orientations changes, while the deformation modulus decreases linearly with increasing angular deviation between the loading orientation and tunnel axis. Numerical simulations were performed to observe tunnel deformation at various bedding-to-tunnel axis angles. Results showed that, as the bedding angle decreases, deformation of the tunnel wall and crown increases progressively. At angles of 0°, 30°, 45°, 60°, and 90°, the deformation ratios for the tunnel wall were 1:3.7:3:4.74:5.44:7.7, and for the tunnel crown, the ratios were 1:1.3:1.94:4.7:6.7. When the traditional HC method was used to classify the surrounding rock in tunnels with parallel phyllite layers, the agreement rate was only 13.33%, indicating low accuracy. By modifying the occurrence score for major structural joints and incorporating the weight ratios derived from numerical simulations, the HC method’s accuracy improved, achieving an agreement rate of 100%. This study enhances the precision and applicability of surrounding rock classification and offers valuable insights for tunnel construction. Surrounding rock quality classification HC method Anisotropy characteristic Phyllite tunnel 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. 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