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An approach for determination of lateral limit angle in kinematic planar sliding analysis for rock slopes 在岩石斜坡运动学平面滑动分析中确定横向极限角的方法
IF 7.3 1区 工程技术 Q1 ENGINEERING, GEOLOGICAL Pub Date : 2023-12-01 DOI: 10.1016/j.jrmge.2023.09.013
Xiaojuan Yang, Jie Hu, Honglei Sun, Jun Zheng
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引用次数: 0
Performance assessment of borehole arrangements for the design of rectangular shallow foundation systems 矩形浅基础体系设计钻孔布置的性能评价
IF 7.3 1区 工程技术 Q1 ENGINEERING, GEOLOGICAL Pub Date : 2023-12-01 DOI: 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.

本研究提出了一个框架来评估空间可变土壤条件下矩形浅基础系统设计的钻孔布置性能。对于固定的基础布局和给定的土壤测深位置,引入性能度量来量化基础系统承载力的变化水平,以其平均值和标准差表示。为了估计这些措施,采用了最近提出的随机破坏机制方法(RFMM),并将其扩展到考虑矩形基础和钻孔的任何布置。因此,可以有效地进行空间变土条件下的三维承载力估算。通过几个数值算例,包括不同的基础布置和不同的土壤相关结构,来说明所提出框架的适用性。总的来说,提出的框架代表了一个潜在的有用工具,以支持岩土工程现场调查计划的设计,特别是在对土壤性质的先验知识非常有限的情况下。
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引用次数: 2
Macro-micro behaviors and failure mechanism of frozen weakly cemented mudstone 冷冻弱胶结泥岩的宏观-微观行为和破坏机理
IF 7.3 1区 工程技术 Q1 ENGINEERING, GEOLOGICAL Pub Date : 2023-12-01 DOI: 10.1016/j.jrmge.2023.06.024
Xianzhou Lyu, Jijie Du, Hao Fu, Dawei Lyu, Weiming Wang
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引用次数: 0
Stabilisation of estuarine sediments with an alkali-activated cement for deep soil mixing applications 使用碱活性水泥稳定河口沉积物,用于深层土壤混合应用
IF 7.3 1区 工程技术 Q1 ENGINEERING, GEOLOGICAL Pub Date : 2023-12-01 DOI: 10.1016/j.jrmge.2023.08.020
C. Pinheiro, S. Rios, A. Viana da Fonseca, N. Cristelo
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引用次数: 0
A multifunctional shear apparatus for rocks subjected to true triaxial stress and high temperature in real-time 用于实时承受真实三轴应力和高温的岩石的多功能剪切设备
IF 7.3 1区 工程技术 Q1 ENGINEERING, GEOLOGICAL Pub Date : 2023-12-01 DOI: 10.1016/j.jrmge.2023.10.006
Jun Zhao, Xia-Ting Feng, Jia-Rong Wang, Liang Hu, Yue Guo
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引用次数: 0
Hydromechanical characterization of gas transport amidst uncertainty for underground nuclear explosion detection 用于地下核爆炸探测的不确定性气体输送的水力机械特性分析
IF 7.3 1区 工程技术 Q1 ENGINEERING, GEOLOGICAL Pub Date : 2023-12-01 DOI: 10.1016/j.jrmge.2023.09.018
Wenfeng Li, Chelsea W. Neil, J. W. Carey, Meng Meng, L. Frash, P. H. Stauffer
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引用次数: 0
Evaluation of the coefficient of lateral stress at rest of granular materials under repetitive loading conditions 评估重复加载条件下颗粒材料静止时的横向应力系数
IF 7.3 1区 工程技术 Q1 ENGINEERING, GEOLOGICAL Pub Date : 2023-12-01 DOI: 10.1016/j.jrmge.2023.07.024
Heerym Han, Hyunwook Choo, Junghee Park
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引用次数: 0
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 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
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 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
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
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Journal of Rock Mechanics and Geotechnical Engineering
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