Rock Mechanics Bulletin最新文献_第8页

Constitutive modeling of a laumontite-rich tight rock and the application to poromechanical analysis of deeply drilled wells 富laumonite致密岩本构建模及在深井孔隙力学分析中的应用

Rock Mechanics Bulletin Pub Date : 2023-04-01 DOI: 10.1016/j.rockmb.2023.100039

Sina Heidari , Biao Li , Antoine B. Jacquey , Bin Xu

{"title":"Constitutive modeling of a laumontite-rich tight rock and the application to poromechanical analysis of deeply drilled wells","authors":"Sina Heidari , Biao Li , Antoine B. Jacquey , Bin Xu","doi":"10.1016/j.rockmb.2023.100039","DOIUrl":"https://doi.org/10.1016/j.rockmb.2023.100039","url":null,"abstract":"<div><p>Geological formations containing laumontite-rich rock are usually treated as problematic for geo-energy production projects because the presence of laumontite mineral can promote complex mechanical behaviors. Previous laboratory results indicate that rock formations with a higher laumontite content display severe stress sensitivity in poromechanical responses. With an increase in confining pressure, there is a transition from dilation to compression regime and the resulting localization styles range from shear dilation to compaction bands. In this study, we conduct finite element modeling of constitutive behaviors of rocks retrieved from the tight glutenite reservoir formation using a thermodynamic-consistent plasticity model. The shear dilation to compaction transition is well characterized. Poromechanical analysis is also conducted to analyze the plastic zone development around a borehole drilled in an over pressured reservoir. The simulated stress-paths of key points around the borehole are used to demonstrate the plastic strain development processes. The impact of in-situ stress on the wellbore stability is highlighted, and a comparison with the results from using the traditional plastic constitutive model is conducted.</p></div>","PeriodicalId":101137,"journal":{"name":"Rock Mechanics Bulletin","volume":"2 2","pages":"Article 100039"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49722186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Comparative study on heat extraction performance of three enhanced geothermal systems 三种增强型地热系统抽热性能对比研究

Rock Mechanics Bulletin Pub Date : 2023-04-01 DOI: 10.1016/j.rockmb.2023.100041

Xiaotian Wu , Yingchun Li , Chun'an Tang

{"title":"Comparative study on heat extraction performance of three enhanced geothermal systems","authors":"Xiaotian Wu , Yingchun Li , Chun'an Tang","doi":"10.1016/j.rockmb.2023.100041","DOIUrl":"https://doi.org/10.1016/j.rockmb.2023.100041","url":null,"abstract":"<div><p>Enhanced geothermal systems (EGSs) in this study are classified as fracturing-EGS (F-EGS), pipe-EGS (P-EGS) and excavation-EGS (E-EGS) according to reservoir stimulation strategies. However, the heat extraction performances of three EGSs employing different stimulation strategies are not fully understood. Here, we define the region where the pore pressure increment calculated by a hydraulic fracturing process is higher than rock tensile strength as the stimulation region for establishing a more accurate F-EGS model, and then compare three geothermal systems to select a appropriate reservoir stimulation strategy. We find that the F-EGS model assuming an entire stimulated region significantly exaggerates the heat extraction results. The optimal conditions for P-EGS are low injection rates and short operation times, which is suiTablefor seasonal heating or multi-energy co-generation projects including a thermal recovery phase. Theoretically, E-EGS has better geothermal extraction performance than F-EGS based on existing model assumptions, but its construction feasibility and economics need further exploration. H<sub>2</sub><em>O</em> is more suiTableas a heat exchange fluid in E-EGS than supercritical CO<sub>2</sub>. This study provides a reference for geothermal mining simulation and reservoir stimulation strategy selection.</p></div>","PeriodicalId":101137,"journal":{"name":"Rock Mechanics Bulletin","volume":"2 2","pages":"Article 100041"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49745289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Rapid intelligent evaluation method and technology for determining engineering rock mass quality 工程岩体质量快速智能评价方法与技术

Rock Mechanics Bulletin Pub Date : 2023-04-01 DOI: 10.1016/j.rockmb.2023.100038

Faquan Wu , Jie Wu , Han Bao , Zhongxi Bai , Lei Qiao , Fang Zhang , Bo Li , Fuan Si , Lei Yu , Shenggong Guan , Peng Sha , Deheng Kong , Zhenzhong Dai , Kun Chen , Yun Tian , Changqing Liu

{"title":"Rapid intelligent evaluation method and technology for determining engineering rock mass quality","authors":"Faquan Wu , Jie Wu , Han Bao , Zhongxi Bai , Lei Qiao , Fang Zhang , Bo Li , Fuan Si , Lei Yu , Shenggong Guan , Peng Sha , Deheng Kong , Zhenzhong Dai , Kun Chen , Yun Tian , Changqing Liu","doi":"10.1016/j.rockmb.2023.100038","DOIUrl":"https://doi.org/10.1016/j.rockmb.2023.100038","url":null,"abstract":"<div><p>The evaluation of engineering rock mass quality is fundamental work for the engineering activities of rock mass. The increasing scale of rock mass engineering necessitates higher intelligence, timeliness, and accuracy in engineering rock mass quality evaluation. As the core aspects of engineering rock mass quality evaluation, the structural characteristics, mechanical characteristics, and quality classification of rock mass have been innovated in recent years. The non-contact measurement technology for rock mass structure and rapid interpretation of rock mass structure information enables the intelligent extraction and analysis of rock mass structure parameters. The modular backpack laboratory system of rock mechanics provides an effective means to acquire rock mechanical parameters on-site conveniently. The theory of statistical mechanics of rock mass (SMRM) integrates various factors such as the rock mass properties, geological environment, and engineering disturbance, providing a theoretical basis for accurately evaluating the weakening and anisotropy of rock mass. The cloud computing platform established based on SMRM can provide technical support for the rapid calculation of rock mass parameters and instant evaluation of the rock mass quality. The development of intelligent evaluation method and technology is altering the conventional technical state of qualitative and semi-quantitative evaluation of engineering rock mass quality, supporting the realization of rock mass engineering construction with intellectualization and informatization.</p></div>","PeriodicalId":101137,"journal":{"name":"Rock Mechanics Bulletin","volume":"2 2","pages":"Article 100038"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49722218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Polynomial chaos surrogate and bayesian learning for coupled hydro-mechanical behavior of soil slope 土坡水-力耦合特性的多项式混沌代理与贝叶斯学习

Rock Mechanics Bulletin Pub Date : 2023-01-01 DOI: 10.1016/j.rockmb.2022.100023

Lulu Zhang , Fang Wu , Xin Wei , Hao-Qing Yang , Shixiao Fu , Jinsong Huang , Liang Gao

{"title":"Polynomial chaos surrogate and bayesian learning for coupled hydro-mechanical behavior of soil slope","authors":"Lulu Zhang , Fang Wu , Xin Wei , Hao-Qing Yang , Shixiao Fu , Jinsong Huang , Liang Gao","doi":"10.1016/j.rockmb.2022.100023","DOIUrl":"https://doi.org/10.1016/j.rockmb.2022.100023","url":null,"abstract":"<div><p>As rainfall infiltrates into soil slopes, the hydraulic and mechanical behaviors of soils are interacted. In this study, an efficient probabilistic parameter estimation method for coupled hydro-mechanical behavior in soil slope is proposed. This method integrates the Polynomial Chaos Expansion (PCE) method, the coupled hydro-mechanical modeling, and the Bayesian learning method. A coupled hydro-mechanical numerical model is established for the simulation of behaviors of unsaturated soil slope under rainfall infiltration, following by training a cheap-to-run PCE surrogate to replace it. Probabilistic estimation of soil parameters is conducted based on the Bayesian learning technique with the Markov Chain Monte Carlo (MCMC) simulation. A numerical example of an unsaturated slope under rainfall infiltration is presented to illustrate the proposed method. The effects of measurement durations and response types on parameter estimation are addressed. The result shows that with the increase of measurement duration, the uncertainties of soil parameters are significantly reduced. The uncertainties of hydraulic properties are reduced significantly using the pore water pressure data, while the uncertainties of soil strength parameters are reduced greatly using the measured displacement data.</p></div>","PeriodicalId":101137,"journal":{"name":"Rock Mechanics Bulletin","volume":"2 1","pages":"Article 100023"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49720808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Uncertainties of landslide susceptibility prediction: Influences of different spatial resolutions, machine learning models and proportions of training and testing dataset 滑坡易感性预测的不确定性:不同空间分辨率、机器学习模型和训练与测试数据集比例的影响

Rock Mechanics Bulletin Pub Date : 2023-01-01 DOI: 10.1016/j.rockmb.2023.100028

Faming Huang , Zuokui Teng , Zizheng Guo , Filippo Catani , Jinsong Huang

{"title":"Uncertainties of landslide susceptibility prediction: Influences of different spatial resolutions, machine learning models and proportions of training and testing dataset","authors":"Faming Huang , Zuokui Teng , Zizheng Guo , Filippo Catani , Jinsong Huang","doi":"10.1016/j.rockmb.2023.100028","DOIUrl":"https://doi.org/10.1016/j.rockmb.2023.100028","url":null,"abstract":"<div><p>This study aims to reveal the impacts of three important uncertainty issues in landslide susceptibility prediction (LSP), namely the spatial resolution, proportion of model training and testing datasets and selection of machine learning models. Taking Yanchang County of China as example, the landslide inventory and 12 important conditioning factors were acquired. The frequency ratios of each conditioning factor were calculated under five spatial resolutions (15, 30, 60, 90 and 120 m). Landslide and non-landslide samples obtained under each spatial resolution were further divided into five proportions of training and testing datasets (9:1, 8:2, 7:3, 6:4 and 5:5), and four typical machine learning models were applied for LSP modelling. The results demonstrated that different spatial resolution and training and testing dataset proportions induce basically similar influences on the modeling uncertainty. With a decrease in the spatial resolution from 15 m to 120 m and a change in the proportions of the training and testing datasets from 9:1 to 5:5, the modelling accuracy gradually decreased, while the mean values of predicted landslide susceptibility indexes increased and their standard deviations decreased. The sensitivities of the three uncertainty issues to LSP modeling were, in order, the spatial resolution, the choice of machine learning model and the proportions of training/testing datasets.</p></div>","PeriodicalId":101137,"journal":{"name":"Rock Mechanics Bulletin","volume":"2 1","pages":"Article 100028"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49720814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Performance of reliability-based design formats in geotechnical applications 岩土工程应用中基于可靠性的设计格式的性能

Rock Mechanics Bulletin Pub Date : 2023-01-01 DOI: 10.1016/j.rockmb.2022.100025

Peiyuan Lin , Xian-Xun Yuan

{"title":"Performance of reliability-based design formats in geotechnical applications","authors":"Peiyuan Lin , Xian-Xun Yuan","doi":"10.1016/j.rockmb.2022.100025","DOIUrl":"https://doi.org/10.1016/j.rockmb.2022.100025","url":null,"abstract":"<div><p>Geotechnical design codes and guidelines are all switching from traditional factor of safety design to modern load and resistance factor design (LRFD) or partial factor design (PFD), in the belief that the latter two bring more flexibility and reliability consistency across various design scenarios, thus produce safe and cost-effective design outcomes. This paper first reviews the LRFD and PFD developed for geotechnical applications. A total of seven methods to calibrate the load and resistance factors are also introduced. The ability of the LRFD and PFD to produce designs with consistent reliability is examined and compared to that of a traditional factor of safety method using two examples of the bearing capacity of strip footings and the global stability of soil nail walls. Results showed that the framework of LRFD offers no apparent advantages over working stress design (WSD) in achieving more consistent reliability for geotechnical structures; the dispersion in design probabilities of failure could be five to seven orders of magnitude difference. The variation will be reduced to three orders if using the PFD. Neither reducing the variability in soil shear strength parameters nor allocating partial resistance factors with respect to soil types would efficiently harmonize the reliability levels when dealing with multiple soil layer conditions. In addition, the uniformity of reliability levels is insensitive to calibrations with or without presetting the load factors. This study provides insights into the LRFD and PFD frameworks currently developed for geotechnical applications.</p></div>","PeriodicalId":101137,"journal":{"name":"Rock Mechanics Bulletin","volume":"2 1","pages":"Article 100025"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49720812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Determination of the crustal friction and state of stress in deep boreholes using hydrologic indicators 用水文指标测定深钻孔的地壳摩擦和应力状态

Rock Mechanics Bulletin Pub Date : 2023-01-01 DOI: 10.1016/j.rockmb.2022.100024

Shihuai Zhang , Xiaodong Ma , Mark Zoback

引用次数: 4

Resistance factors for design of slopes in a homogenous soil layer 均质土层中边坡设计的阻力系数

Rock Mechanics Bulletin Pub Date : 2023-01-01 DOI: 10.1016/j.rockmb.2022.100022

Chenguang Wu , Jie Zhang , Mingliang Zhou , Lei Wang

{"title":"Resistance factors for design of slopes in a homogenous soil layer","authors":"Chenguang Wu , Jie Zhang , Mingliang Zhou , Lei Wang","doi":"10.1016/j.rockmb.2022.100022","DOIUrl":"https://doi.org/10.1016/j.rockmb.2022.100022","url":null,"abstract":"<div><p>Traditionally, the factor of safety (FOS) is widely used to account for uncertainties in the design of slopes within the framework of working stress design. As the uncertainties involved in the design of slopes vary, the same FOS may correspond to the different levels of reliability. In this study, the advanced first order reliability method is used to determine the resistance factors for design of slopes in a homogenous soil layer. It is found that the resistance factors depend on the target reliability index, the height of the slope, and the variability of the soil strength parameters. It is difficult to suggest a unique set of resistance factors for design of slopes. Analytic solutions are developed to determine the resistance factors for design of slopes assuming the random variables are normally distributed. An approximate method based on the concept of equivalent target reliability index is also suggested to determine the resistance factors for design of the slope when the soil strength parameters are lognormally distributed. The method suggested in this paper provides a practical way to perform load and resistance factors design of slopes.</p></div>","PeriodicalId":101137,"journal":{"name":"Rock Mechanics Bulletin","volume":"2 1","pages":"Article 100022"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49720807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

A review of previous studies on the applications of fiber optic sensing technologies in geotechnical monitoring 综述了光纤传感技术在岩土工程监测中的应用研究进展

Rock Mechanics Bulletin Pub Date : 2023-01-01 DOI: 10.1016/j.rockmb.2022.100021

Jiaxiao Ma , Huafu Pei , Honghu Zhu , Bin Shi , Jianhua Yin

{"title":"A review of previous studies on the applications of fiber optic sensing technologies in geotechnical monitoring","authors":"Jiaxiao Ma , Huafu Pei , Honghu Zhu , Bin Shi , Jianhua Yin","doi":"10.1016/j.rockmb.2022.100021","DOIUrl":"https://doi.org/10.1016/j.rockmb.2022.100021","url":null,"abstract":"<div><p>Geotechnical engineering is characterized by many uncertainties, including soil material properties, environmental effects, and engineering design and construction, which bring a significant challenge to geotechnical monitoring. However, conventional sensors with several inherent limitations, such as electromagnetic interference, signal loss in long-distance transmission, and low durability in harsh environments cannot fully meet current monitoring needs. Recently, fiber optic sensing technologies have been successfully applied in geotechnical monitoring due to the significant advantages of anti-electromagnetic interference, stable signal long-distance transmission, high durability, high sensitivity, and lightweight, which can be considered an ideal replacement for conventional sensors. In this paper, the working principle of different fiber optic sensing technologies, the development of fiber optic-based sensors, and the recent application status of these sensing technologies for geotechnical monitoring were comprehensively reviewed and discussed in detail. Finally, the challenges and countermeasures of the sensing technologies in geotechnical monitoring were also presented and discussed.</p></div>","PeriodicalId":101137,"journal":{"name":"Rock Mechanics Bulletin","volume":"2 1","pages":"Article 100021"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49720805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

Characterizing model uncertainty of upper-bound limit analysis on slopes using 3D rotational failure mechanism 基于三维旋转破坏机制的边坡上限分析模型不确定性表征

Rock Mechanics Bulletin Pub Date : 2023-01-01 DOI: 10.1016/j.rockmb.2022.100026

X.Z. Li , H. Jiang , Q.J. Pan , L.H. Zhao

引用次数: 0