Hadi Fattahi, Hossein Ghaedi, Danial Jahed Armaghani
{"title":"提高岩石结构 I 型断裂韧性预测的准确性:岩石工程系统方法的比较分析","authors":"Hadi Fattahi, Hossein Ghaedi, Danial Jahed Armaghani","doi":"10.1007/s10064-024-03975-5","DOIUrl":null,"url":null,"abstract":"<div><p>The investigation of crack initiation and expansion is vital for the stability of structures. The Mode I fracture toughness (<i>K</i><sub><i>Ic</i></sub>) of rocks is a key property used to predict crack propagation in tension and hydraulic fracturing. Various methods have been introduced to determine <i>K</i><sub><i>Ic</i></sub>, but results differ due to factors like sample dimensions, crack geometry, groove type, and loading conditions. The cracked chevron notched Brazilian disc (CCNBD) sample is commonly used in laboratory tests for its easy preparation. This study employs the rock engineering system (RES) technique to overcome the challenges of time-consuming and costly laboratory tests and the uncertainty in traditional methods (analytical, numerical, experimental, laboratory, regression). Using 88 CCNBD rock samples proposed by ISRM, input parameters include thickness of the disc specimen (<i>B</i>), uniaxial tensile strength (<i>σ</i><sub><i>t</i></sub>), initial crack length (<i>α</i><sub><i>0</i></sub>), radius of the disc specimen (R), crack length (<i>α</i><sub><i>B</i></sub>), and the length of the final crack (<i>α</i><sub><i>1</i></sub>). The RES-based model used 70 data points (80% of the dataset) for development, and 18 data points (20%) for evaluation. Regression analysis compared the performance of the RES method, using statistical indicators such as squared correlation coefficient (R<sup>2</sup>), mean square error (MSE), and root mean square error (RMSE) to measure accuracy. The RES-based method outperformed other regression techniques, demonstrating significantly enhanced accuracy. This highlights the effectiveness and superior performance of the RES method in estimating fracture toughness, particularly for CCNBD samples, showcasing its potential as a robust analytical tool.</p></div>","PeriodicalId":500,"journal":{"name":"Bulletin of Engineering Geology and the Environment","volume":"83 12","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10064-024-03975-5.pdf","citationCount":"0","resultStr":"{\"title\":\"Increasing accuracy in predicting mode I fracture toughness of rock structures: a comparative analysis of the rock engineering system method\",\"authors\":\"Hadi Fattahi, Hossein Ghaedi, Danial Jahed Armaghani\",\"doi\":\"10.1007/s10064-024-03975-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The investigation of crack initiation and expansion is vital for the stability of structures. The Mode I fracture toughness (<i>K</i><sub><i>Ic</i></sub>) of rocks is a key property used to predict crack propagation in tension and hydraulic fracturing. Various methods have been introduced to determine <i>K</i><sub><i>Ic</i></sub>, but results differ due to factors like sample dimensions, crack geometry, groove type, and loading conditions. The cracked chevron notched Brazilian disc (CCNBD) sample is commonly used in laboratory tests for its easy preparation. This study employs the rock engineering system (RES) technique to overcome the challenges of time-consuming and costly laboratory tests and the uncertainty in traditional methods (analytical, numerical, experimental, laboratory, regression). Using 88 CCNBD rock samples proposed by ISRM, input parameters include thickness of the disc specimen (<i>B</i>), uniaxial tensile strength (<i>σ</i><sub><i>t</i></sub>), initial crack length (<i>α</i><sub><i>0</i></sub>), radius of the disc specimen (R), crack length (<i>α</i><sub><i>B</i></sub>), and the length of the final crack (<i>α</i><sub><i>1</i></sub>). The RES-based model used 70 data points (80% of the dataset) for development, and 18 data points (20%) for evaluation. Regression analysis compared the performance of the RES method, using statistical indicators such as squared correlation coefficient (R<sup>2</sup>), mean square error (MSE), and root mean square error (RMSE) to measure accuracy. The RES-based method outperformed other regression techniques, demonstrating significantly enhanced accuracy. This highlights the effectiveness and superior performance of the RES method in estimating fracture toughness, particularly for CCNBD samples, showcasing its potential as a robust analytical tool.</p></div>\",\"PeriodicalId\":500,\"journal\":{\"name\":\"Bulletin of Engineering Geology and the Environment\",\"volume\":\"83 12\",\"pages\":\"\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://link.springer.com/content/pdf/10.1007/s10064-024-03975-5.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bulletin of Engineering Geology and the Environment\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10064-024-03975-5\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ENVIRONMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of Engineering Geology and the Environment","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s10064-024-03975-5","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0
摘要
裂纹起始和扩展的研究对结构的稳定性至关重要。岩石的 I 型断裂韧性(KIc)是用于预测拉伸和水力压裂中裂纹扩展的关键属性。已有多种方法用于测定 KIc,但由于样品尺寸、裂缝几何形状、沟槽类型和加载条件等因素的影响,测定结果各不相同。裂纹雪佛龙缺口巴西圆盘(CCNBD)样品因其易于制备而常用于实验室测试。本研究采用岩石工程系统 (RES) 技术来克服实验室测试耗时长、成本高以及传统方法(分析、数值、实验、实验室、回归)的不确定性等难题。利用 ISRM 提出的 88 个 CCNBD 岩石样本,输入参数包括圆盘试样厚度 (B)、单轴抗拉强度 (σt)、初始裂缝长度 (α0)、圆盘试样半径 (R)、裂缝长度 (αB) 和最终裂缝长度 (α1)。基于 RES 的模型使用 70 个数据点(数据集的 80%)进行开发,使用 18 个数据点(20%)进行评估。回归分析比较了 RES 方法的性能,使用平方相关系数 (R2)、均方误差 (MSE) 和均方根误差 (RMSE) 等统计指标来衡量准确性。基于 RES 的方法优于其他回归技术,显著提高了准确性。这凸显了 RES 方法在估算断裂韧性(尤其是 CCNBD 样品的断裂韧性)方面的有效性和优越性能,展示了其作为一种稳健的分析工具的潜力。
Increasing accuracy in predicting mode I fracture toughness of rock structures: a comparative analysis of the rock engineering system method
The investigation of crack initiation and expansion is vital for the stability of structures. The Mode I fracture toughness (KIc) of rocks is a key property used to predict crack propagation in tension and hydraulic fracturing. Various methods have been introduced to determine KIc, but results differ due to factors like sample dimensions, crack geometry, groove type, and loading conditions. The cracked chevron notched Brazilian disc (CCNBD) sample is commonly used in laboratory tests for its easy preparation. This study employs the rock engineering system (RES) technique to overcome the challenges of time-consuming and costly laboratory tests and the uncertainty in traditional methods (analytical, numerical, experimental, laboratory, regression). Using 88 CCNBD rock samples proposed by ISRM, input parameters include thickness of the disc specimen (B), uniaxial tensile strength (σt), initial crack length (α0), radius of the disc specimen (R), crack length (αB), and the length of the final crack (α1). The RES-based model used 70 data points (80% of the dataset) for development, and 18 data points (20%) for evaluation. Regression analysis compared the performance of the RES method, using statistical indicators such as squared correlation coefficient (R2), mean square error (MSE), and root mean square error (RMSE) to measure accuracy. The RES-based method outperformed other regression techniques, demonstrating significantly enhanced accuracy. This highlights the effectiveness and superior performance of the RES method in estimating fracture toughness, particularly for CCNBD samples, showcasing its potential as a robust analytical tool.
期刊介绍:
Engineering geology is defined in the statutes of the IAEG as the science devoted to the investigation, study and solution of engineering and environmental problems which may arise as the result of the interaction between geology and the works or activities of man, as well as of the prediction of and development of measures for the prevention or remediation of geological hazards. Engineering geology embraces:
• the applications/implications of the geomorphology, structural geology, and hydrogeological conditions of geological formations;
• the characterisation of the mineralogical, physico-geomechanical, chemical and hydraulic properties of all earth materials involved in construction, resource recovery and environmental change;
• the assessment of the mechanical and hydrological behaviour of soil and rock masses;
• the prediction of changes to the above properties with time;
• the determination of the parameters to be considered in the stability analysis of engineering works and earth masses.