Pub Date : 2023-12-01DOI: 10.1016/j.jrmge.2023.09.013
Xiaojuan Yang, Jie Hu, Honglei Sun, Jun Zheng
{"title":"An approach for determination of lateral limit angle in kinematic planar sliding analysis for rock slopes","authors":"Xiaojuan Yang, Jie Hu, Honglei Sun, Jun Zheng","doi":"10.1016/j.jrmge.2023.09.013","DOIUrl":"https://doi.org/10.1016/j.jrmge.2023.09.013","url":null,"abstract":"","PeriodicalId":54219,"journal":{"name":"Journal of Rock Mechanics and Geotechnical Engineering","volume":"109 ","pages":""},"PeriodicalIF":7.3,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139026382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-01DOI: 10.1016/j.jrmge.2023.05.009
Marcin Chwała , Danko J. Jerez , Hector A. Jensen , Michael Beer
This study proposes a framework to evaluate the performance of borehole arrangements for the design of rectangular shallow foundation systems under spatially variable soil conditions. Performance measures are introduced to quantify, for a fixed foundation layout and given soil sounding locations, the variability level of the foundation system bearing capacities in terms of their mean values and standard deviations. To estimate these measures, the recently proposed random failure mechanism method (RFMM) has been adopted and extended to consider any arrangement of rectangular foundations and boreholes. Hence, three-dimensional bearing capacity estimation under spatially variable soil can be efficiently performed. Several numerical examples are presented to illustrate the applicability of the proposed framework, including diverse foundation arrangements and different soil correlation structures. Overall, the proposed framework represents a potentially useful tool to support the design of geotechnical site investigation programs, especially in situations where very limited prior knowledge about the soil properties is available.
{"title":"Performance assessment of borehole arrangements for the design of rectangular shallow foundation systems","authors":"Marcin Chwała , Danko J. Jerez , Hector A. Jensen , Michael Beer","doi":"10.1016/j.jrmge.2023.05.009","DOIUrl":"10.1016/j.jrmge.2023.05.009","url":null,"abstract":"<div><p>This study proposes a framework to evaluate the performance of borehole arrangements for the design of rectangular shallow foundation systems under spatially variable soil conditions. Performance measures are introduced to quantify, for a fixed foundation layout and given soil sounding locations, the variability level of the foundation system bearing capacities in terms of their mean values and standard deviations. To estimate these measures, the recently proposed random failure mechanism method (RFMM) has been adopted and extended to consider any arrangement of rectangular foundations and boreholes. Hence, three-dimensional bearing capacity estimation under spatially variable soil can be efficiently performed. Several numerical examples are presented to illustrate the applicability of the proposed framework, including diverse foundation arrangements and different soil correlation structures. Overall, the proposed framework represents a potentially useful tool to support the design of geotechnical site investigation programs, especially in situations where very limited prior knowledge about the soil properties is available.</p></div>","PeriodicalId":54219,"journal":{"name":"Journal of Rock Mechanics and Geotechnical Engineering","volume":"15 12","pages":"Pages 3291-3304"},"PeriodicalIF":7.3,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1674775523001695/pdfft?md5=5433314c5c7a92a29cdaf0c5b5a226ab&pid=1-s2.0-S1674775523001695-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45451605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-01DOI: 10.1016/j.jrmge.2023.06.024
Xianzhou Lyu, Jijie Du, Hao Fu, Dawei Lyu, Weiming Wang
{"title":"Macro-micro behaviors and failure mechanism of frozen weakly cemented mudstone","authors":"Xianzhou Lyu, Jijie Du, Hao Fu, Dawei Lyu, Weiming Wang","doi":"10.1016/j.jrmge.2023.06.024","DOIUrl":"https://doi.org/10.1016/j.jrmge.2023.06.024","url":null,"abstract":"","PeriodicalId":54219,"journal":{"name":"Journal of Rock Mechanics and Geotechnical Engineering","volume":" 10","pages":""},"PeriodicalIF":7.3,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138615102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-01DOI: 10.1016/j.jrmge.2023.08.020
C. Pinheiro, S. Rios, A. Viana da Fonseca, N. Cristelo
{"title":"Stabilisation of estuarine sediments with an alkali-activated cement for deep soil mixing applications","authors":"C. Pinheiro, S. Rios, A. Viana da Fonseca, N. Cristelo","doi":"10.1016/j.jrmge.2023.08.020","DOIUrl":"https://doi.org/10.1016/j.jrmge.2023.08.020","url":null,"abstract":"","PeriodicalId":54219,"journal":{"name":"Journal of Rock Mechanics and Geotechnical Engineering","volume":"17 5","pages":""},"PeriodicalIF":7.3,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138621047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-01DOI: 10.1016/j.jrmge.2023.10.006
Jun Zhao, Xia-Ting Feng, Jia-Rong Wang, Liang Hu, Yue Guo
{"title":"A multifunctional shear apparatus for rocks subjected to true triaxial stress and high temperature in real-time","authors":"Jun Zhao, Xia-Ting Feng, Jia-Rong Wang, Liang Hu, Yue Guo","doi":"10.1016/j.jrmge.2023.10.006","DOIUrl":"https://doi.org/10.1016/j.jrmge.2023.10.006","url":null,"abstract":"","PeriodicalId":54219,"journal":{"name":"Journal of Rock Mechanics and Geotechnical Engineering","volume":"9 5‐6","pages":""},"PeriodicalIF":7.3,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138626110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-01DOI: 10.1016/j.jrmge.2023.09.018
Wenfeng Li, Chelsea W. Neil, J. W. Carey, Meng Meng, L. Frash, P. H. Stauffer
{"title":"Hydromechanical characterization of gas transport amidst uncertainty for underground nuclear explosion detection","authors":"Wenfeng Li, Chelsea W. Neil, J. W. Carey, Meng Meng, L. Frash, P. H. Stauffer","doi":"10.1016/j.jrmge.2023.09.018","DOIUrl":"https://doi.org/10.1016/j.jrmge.2023.09.018","url":null,"abstract":"","PeriodicalId":54219,"journal":{"name":"Journal of Rock Mechanics and Geotechnical Engineering","volume":"278 ","pages":""},"PeriodicalIF":7.3,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138986452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-01DOI: 10.1016/j.jrmge.2023.07.024
Heerym Han, Hyunwook Choo, Junghee Park
{"title":"Evaluation of the coefficient of lateral stress at rest of granular materials under repetitive loading conditions","authors":"Heerym Han, Hyunwook Choo, Junghee Park","doi":"10.1016/j.jrmge.2023.07.024","DOIUrl":"https://doi.org/10.1016/j.jrmge.2023.07.024","url":null,"abstract":"","PeriodicalId":54219,"journal":{"name":"Journal of Rock Mechanics and Geotechnical Engineering","volume":"259 ","pages":""},"PeriodicalIF":7.3,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139019882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-01DOI: 10.1016/j.jrmge.2023.02.002
Nick Barton , Changshuo Wang , Rui Yong
The joint roughness coefficient (JRC), introduced in Barton (1973) represented a new method in rock mechanics and rock engineering to deal with problems related to joint roughness and shear strength estimation. It has the advantages of its simple form, easy estimation, and explicit consideration of scale effects, which make it the most widely accepted parameter for roughness quantification since it was proposed. As a result, JRC has attracted the attention of many scholars who have developed JRC-related methods in many areas, such as geological engineering, multidisciplinary geosciences, mining mineral processing, civil engineering, environmental engineering, and water resources. Because of such a developing trend, an overview of JRC is presented here to provide a clear perspective on the concepts, methods, applications, and trends related to its extensions. This review mainly introduces the origin and connotation of JRC, JRC-related roughness measurement, JRC estimation methods, JRC-based roughness characteristics investigation, JRC-based rock joint property description, JRC's influence on rock mass properties, and JRC-based rock engineering applications. Moreover, the representativeness of the joint samples and the determination of the sampling interval for rock joint roughness measurements are discussed. In the future, the existing JRC-related methods will likely be further improved and extended in rock engineering.
{"title":"Advances in joint roughness coefficient (JRC) and its engineering applications","authors":"Nick Barton , Changshuo Wang , Rui Yong","doi":"10.1016/j.jrmge.2023.02.002","DOIUrl":"10.1016/j.jrmge.2023.02.002","url":null,"abstract":"<div><p>The joint roughness coefficient (<em>JRC</em>), introduced in Barton (1973) represented a new method in rock mechanics and rock engineering to deal with problems related to joint roughness and shear strength estimation. It has the advantages of its simple form, easy estimation, and explicit consideration of scale effects, which make it the most widely accepted parameter for roughness quantification since it was proposed. As a result, <em>JRC</em> has attracted the attention of many scholars who have developed <em>JRC</em>-related methods in many areas, such as geological engineering, multidisciplinary geosciences, mining mineral processing, civil engineering, environmental engineering, and water resources. Because of such a developing trend, an overview of <em>JRC</em> is presented here to provide a clear perspective on the concepts, methods, applications, and trends related to its extensions. This review mainly introduces the origin and connotation of <em>JRC</em>, <em>JRC</em>-related roughness measurement, <em>JRC</em> estimation methods, <em>JRC</em>-based roughness characteristics investigation, <em>JRC</em>-based rock joint property description, <em>JRC</em>'s influence on rock mass properties, and <em>JRC</em>-based rock engineering applications. Moreover, the representativeness of the joint samples and the determination of the sampling interval for rock joint roughness measurements are discussed. In the future, the existing <em>JRC</em>-related methods will likely be further improved and extended in rock engineering.</p></div>","PeriodicalId":54219,"journal":{"name":"Journal of Rock Mechanics and Geotechnical Engineering","volume":"15 12","pages":"Pages 3352-3379"},"PeriodicalIF":7.3,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1674775523000550/pdfft?md5=81767493837e3b4f3d5c788cfd495095&pid=1-s2.0-S1674775523000550-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47258597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research developed a hybrid position-channel network (named PCNet) through incorporating newly designed channel and position attention modules into U-Net to alleviate the crack discontinuity problem in channel and spatial dimensions. In PCNet, the U-Net is used as a baseline to extract informative spatial and channel-wise features from shield tunnel lining crack images. A channel and a position attention module are designed and embedded after each convolution layer of U-Net to model the feature interdependencies in channel and spatial dimensions. These attention modules can make the U-Net adaptively integrate local crack features with their global dependencies. Experiments were conducted utilizing the dataset based on the images from Shanghai metro shield tunnels. The results validate the effectiveness of the designed channel and position attention modules, since they can individually increase balanced accuracy (BA) by 11.25% and 12.95%, intersection over union (IoU) by 10.79% and 11.83%, and F1 score by 9.96% and 10.63%, respectively. In comparison with the state-of-the-art models (i.e. LinkNet, PSPNet, U-Net, PANet, and Mask R–CNN) on the testing dataset, the proposed PCNet outperforms others with an improvement of BA, IoU, and F1 score owing to the implementation of the channel and position attention modules. These evaluation metrics indicate that the proposed PCNet presents refined crack segmentation with improved performance and is a practicable approach to segment shield tunnel lining cracks in field practice.
{"title":"A hybrid attention deep learning network for refined segmentation of cracks from shield tunnel lining images","authors":"Shuai Zhao , Guokai Zhang , Dongming Zhang , Daoyuan Tan , Hongwei Huang","doi":"10.1016/j.jrmge.2023.02.025","DOIUrl":"10.1016/j.jrmge.2023.02.025","url":null,"abstract":"<div><p>This research developed a hybrid position-channel network (named PCNet) through incorporating newly designed channel and position attention modules into U-Net to alleviate the crack discontinuity problem in channel and spatial dimensions. In PCNet, the U-Net is used as a baseline to extract informative spatial and channel-wise features from shield tunnel lining crack images. A channel and a position attention module are designed and embedded after each convolution layer of U-Net to model the feature interdependencies in channel and spatial dimensions. These attention modules can make the U-Net adaptively integrate local crack features with their global dependencies. Experiments were conducted utilizing the dataset based on the images from Shanghai metro shield tunnels. The results validate the effectiveness of the designed channel and position attention modules, since they can individually increase balanced accuracy (BA) by 11.25% and 12.95%, intersection over union (IoU) by 10.79% and 11.83%, and F<sub>1</sub> score by 9.96% and 10.63%, respectively. In comparison with the state-of-the-art models (i.e. LinkNet, PSPNet, U-Net, PANet, and Mask R–CNN) on the testing dataset, the proposed PCNet outperforms others with an improvement of BA, IoU, and F<sub>1</sub> score owing to the implementation of the channel and position attention modules. These evaluation metrics indicate that the proposed PCNet presents refined crack segmentation with improved performance and is a practicable approach to segment shield tunnel lining cracks in field practice.</p></div>","PeriodicalId":54219,"journal":{"name":"Journal of Rock Mechanics and Geotechnical Engineering","volume":"15 12","pages":"Pages 3105-3117"},"PeriodicalIF":7.3,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1674775523001117/pdfft?md5=57f6715326db846457d96e008e93bcb3&pid=1-s2.0-S1674775523001117-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44979779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-01DOI: 10.1016/j.jrmge.2023.09.011
Behzad Dastjerdy, A. Saeidi, Shahriyar Heidarzadeh
{"title":"Determination of uncertainties of geomechanical parameters of metamorphic rocks using petrographic analyses","authors":"Behzad Dastjerdy, A. Saeidi, Shahriyar Heidarzadeh","doi":"10.1016/j.jrmge.2023.09.011","DOIUrl":"https://doi.org/10.1016/j.jrmge.2023.09.011","url":null,"abstract":"","PeriodicalId":54219,"journal":{"name":"Journal of Rock Mechanics and Geotechnical Engineering","volume":"104 27","pages":""},"PeriodicalIF":7.3,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138608891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}