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A hybrid attention deep learning network for refined segmentation of cracks from shield tunnel lining images 一种用于盾构隧道衬砌图像裂纹精细分割的混合注意力深度学习网络
IF 7.3 1区 工程技术 Q1 ENGINEERING, GEOLOGICAL Pub Date : 2023-12-01 Epub Date: 2023-04-14 DOI: 10.1016/j.jrmge.2023.02.025
Shuai Zhao , Guokai Zhang , Dongming Zhang , Daoyuan Tan , Hongwei Huang

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.

本研究通过将新设计的通道和位置关注模块整合到U-Net中,开发了一种位置-通道混合网络(PCNet),以缓解通道和空间维度上的裂缝不连续问题。在PCNet中,U-Net作为基线从盾构隧道衬砌裂缝图像中提取信息空间和通道特征。在U-Net的每个卷积层之后,设计了通道和位置关注模块,对通道和空间维度上的特征依赖关系进行建模。这些关注模块可以使U-Net自适应地将局部裂缝特征与其全局依赖关系集成在一起。利用该数据集对上海地铁盾构隧道的图像进行了实验。结果验证了所设计的通道和位置注意模块的有效性,分别可将平衡精度(BA)提高11.25%和12.95%,将相交/联合(IoU)提高10.79%和11.83%,将F1分数提高9.96%和10.63%。与测试数据集上最先进的模型(即LinkNet, PSPNet, U-Net, PANet和Mask R-CNN)相比,由于实现了通道和位置注意模块,所提出的PCNet在BA, IoU和F1分数方面优于其他模型。这些评价指标表明,该方法对盾构隧道衬砌裂缝的分割效果较好,是一种实用的裂缝分割方法。
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引用次数: 2
Advances in joint roughness coefficient (JRC) and its engineering applications 节理粗糙度系数及其工程应用研究进展
IF 7.3 1区 工程技术 Q1 ENGINEERING, GEOLOGICAL Pub Date : 2023-12-01 Epub Date: 2023-02-27 DOI: 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.

Barton(1973)提出的节理粗糙度系数(JRC)是岩石力学和岩石工程中处理节理粗糙度和抗剪强度估算问题的一种新方法。它具有形式简单、易于估计和明确考虑尺度效应等优点,是自提出以来最广泛接受的粗糙度量化参数。因此,JRC引起了许多学者的关注,他们在地质工程、多学科地球科学、采矿矿物加工、土木工程、环境工程和水资源等许多领域发展了与JRC相关的方法。由于这种发展趋势,本文将对JRC进行概述,以便清晰地了解与其扩展相关的概念、方法、应用程序和趋势。本文主要介绍JRC的起源和内涵、JRC相关的粗糙度测量、JRC估计方法、JRC粗糙度特征研究、JRC岩石节理性质描述、JRC对岩体性质的影响以及JRC在岩石工程中的应用。此外,还讨论了节理样品的代表性和岩石节理粗糙度测量取样间隔的确定问题。在未来,现有的jrc相关方法可能会在岩石工程中得到进一步的改进和扩展。
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引用次数: 10
Determination of uncertainties of geomechanical parameters of metamorphic rocks using petrographic analyses 利用岩相分析确定变质岩地质力学参数的不确定性
IF 7.3 1区 工程技术 Q1 ENGINEERING, GEOLOGICAL Pub Date : 2023-12-01 DOI: 10.1016/j.jrmge.2023.09.011
Behzad Dastjerdy, A. Saeidi, Shahriyar Heidarzadeh
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引用次数: 0
Biological perspectives in geotechnics: Application and monitoring 土工技术中的生物观点:应用与监测
IF 7.3 1区 工程技术 Q1 ENGINEERING, GEOLOGICAL Pub Date : 2023-12-01 DOI: 10.1016/j.jrmge.2023.10.007
P. Mishra, Surabhi Jain, T. Bore, I. Chang, Yeong-Man Kwon, Yijie Wang, H. R. Dash, Ashutosh Kumar, Satyam Tiwari, Ningjun Jiang, Sarat Kumar Das, Alexander Scheuermann
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引用次数: 0
Surrogate modeling for unsaturated infiltration via the physics and equality-constrained artificial neural networks 通过物理和平等约束人工神经网络建立非饱和渗透代用模型
IF 7.3 1区 工程技术 Q1 ENGINEERING, GEOLOGICAL Pub Date : 2023-12-01 DOI: 10.1016/j.jrmge.2023.09.014
Peng Lan, Jingjing Su, Sheng Zhang
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引用次数: 0
Evaluating the stability and volumetric flowback rate of proppant packs in hydraulic fractures using the lattice Boltzmann-discrete element coupling method 使用格子波尔兹曼-离散元耦合法评估水力裂缝中支撑剂包的稳定性和体积回流率
IF 7.3 1区 工程技术 Q1 ENGINEERING, GEOLOGICAL Pub Date : 2023-12-01 DOI: 10.1016/j.jrmge.2023.11.008
Duo-lin Wang, Sanbai Li, Rui Wang, Binhui Li, Zhejun Pan
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引用次数: 0
Modelling of the elastoplastic behaviour of the bio-cemented soils using an extended Modified Cam Clay model 利用扩展的改良卡姆粘土模型模拟生物加固土的弹塑性行为
IF 7.3 1区 工程技术 Q1 ENGINEERING, GEOLOGICAL Pub Date : 2023-12-01 DOI: 10.1016/j.jrmge.2023.09.015
Xuerui Wang, Christian Silbermann, Thomas Nagel, U. Nackenhorst
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引用次数: 0
A modified three-dimensional mean strain energy density criterion for predicting shale mixed-mode I/III fracture toughness 用于预测页岩混合模式 I/III 断裂韧性的修正三维平均应变能量密度准则
IF 7.3 1区 工程技术 Q1 ENGINEERING, GEOLOGICAL Pub Date : 2023-12-01 DOI: 10.1016/j.jrmge.2023.09.016
Kun Zheng, Chaolin Wang, Yu Zhao, J. Bi, Haifeng Liu
{"title":"A modified three-dimensional mean strain energy density criterion for predicting shale mixed-mode I/III fracture toughness","authors":"Kun Zheng, Chaolin Wang, Yu Zhao, J. Bi, Haifeng Liu","doi":"10.1016/j.jrmge.2023.09.016","DOIUrl":"https://doi.org/10.1016/j.jrmge.2023.09.016","url":null,"abstract":"","PeriodicalId":54219,"journal":{"name":"Journal of Rock Mechanics and Geotechnical Engineering","volume":"98 ","pages":""},"PeriodicalIF":7.3,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139021849","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}
引用次数: 0
Three-year field study on grass growth and soil hydrological properties in biochar-amended soil 对生物炭改良土壤中草的生长和土壤水文特性进行为期三年的实地研究
IF 7.3 1区 工程技术 Q1 ENGINEERING, GEOLOGICAL Pub Date : 2023-12-01 DOI: 10.1016/j.jrmge.2023.08.025
Haowen Guo, N.G. Charles Wang Wai, J. Ni, Qi Zhang, Yuchen Wang
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引用次数: 0
Unloading-induced permeability recovery in rock fractures 卸荷引起的岩石裂缝渗透率恢复
IF 7.3 1区 工程技术 Q1 ENGINEERING, GEOLOGICAL Pub Date : 2023-12-01 Epub Date: 2023-07-16 DOI: 10.1016/j.jrmge.2023.06.002
Tao Lin , Wen Meng , Yuedu Chen , Zhihong Zhao , Bing Liu , Jintong Zhang , Sicong Chen , Xingguang Zhao

Underground space creation and energy extraction, which induce unloading on rock fractures, commonly occur in various rock engineering projects, and rock engineering projects are subjected to high temperatures with increasing depth. Fluid flow behavior of rock fractures is a critical issue in many subsurface rock engineering projects. Previous studies have extensively considered permeability evolution in rock fractures under loading phase, whereas changes in fracture permeability under unloading phase have not been fully understood. To examine the unloading-induced changes in fracture permeability under different temperatures, we performed water flow-through tests on fractured rock samples subjected to decreasing confining pressures and different temperatures. The experimental results show that the permeability of fracture increases with unloading of confining pressure but decreases with loading-unloading cycles. Temperature may affect fracture permeability when it is higher than a certain threshold. An empirical model of fracture hydraulic aperture including two material parameters of initial normal stiffness and maximum normal closure can well describe the permeability changes in rough rock fracture subjected to loading-unloading cycles and heating. A coupled thermo-mechanical model considering asperity damage is finally used to understand the influences of stress paths and temperatures on fracture permeability.

在各种岩石工程中,经常会发生在岩石裂隙上引起卸荷的地下空间创造和能量提取,并且岩石工程随着深度的增加而承受高温。岩石裂缝的流体流动特性是许多地下岩石工程中的关键问题。以往的研究广泛考虑了岩石裂缝在加载阶段的渗透率演化,而对卸载阶段裂缝渗透率的变化尚未完全了解。为了研究不同温度下卸载引起的裂缝渗透率变化,我们对处于降低围压和不同温度下的裂隙岩样进行了水流通过试验。试验结果表明,随着围压的卸载,裂缝的渗透率增加,但随着加卸载循环的增加,渗透率降低。当温度高于某一阈值时,可能会影响裂缝渗透率。包含初始法向刚度和最大法向闭合两个材料参数的裂缝水力孔径经验模型能够很好地描述加载-卸载循环和加热作用下粗糙岩石裂缝渗透率的变化。最后建立了考虑裂纹损伤的热-力学耦合模型,分析了应力路径和温度对裂缝渗透率的影响。
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引用次数: 0
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Journal of Rock Mechanics and Geotechnical Engineering
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