Rock strength interval analysis using theory of testing blind data and interval estimation

作     者：田森 陈建宏 董陇军 TIAN Sen;CHEN Jian-hong;DONG Long-jun

作者机构：State Key Laboratory of Coal Mine Disaster Dynamics and ControlChongqing UniversityChongqing 400044China School of Resources and Environmental ScienceChongqing UniversityChongqing 400044China School of Resources and Safety EngineeringCentral South UniversityChangsha 410083China 

出 版 物：《Journal of Central South University》 (中南大学学报（英文版）)

年 卷 期：2017年第24卷第1期

页      面：168-177页

核心收录：

学科分类：0810[工学-信息与通信工程] 0806[工学-冶金工程] 08[工学] 080104[工学-工程力学] 0815[工学-水利工程] 0805[工学-材料科学与工程（可授工学、理学学位）] 0703[理学-化学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0801[工学-力学（可授工学、理学学位）] 

基　　金：Project(2011DA105287-MS201605)supported by the State Key Laboratory of Coal Mine Disaster Dynamics and Control,China Project(51374242)supported by the National Natural Science Foundation of China Project(106112016CDJXY240004)supported by the Fundamental Research Funds for the Central Universities,China 

主　　题：rock strength interval uniaxial compressive strength uniaxial tensile strength shear strength blind data interval theory 

摘      要：The concepts of rock strength intervals are presented in this work, furthermore, central values of intervals and their corresponding credibility are provided using two-case study based on blind data theory and fuzzy interval estimation. 60 granite specimens are first tested, the compressive strength interval and tensile strength interval are [ 103.68, 219.6 l ] and [7.53, 11,86] MPa, while the tested mean values of compressive strength and tensile strength are 152.86 and 10.14 MPa, the credibilities are less than 58.4% and around 70.4%, respectively, the credibility of shear strength is between 40% and 60%. Then 70 other rock specimens are designed and tested, the similar conclusions can be reached. The results show that the conventional definite values are the particular values within the intervals, and the credibility of them often fails to reach the high-precision engineering requirement. The results demonstrate the feasibility and application potential of this proposed algorithm for the engineering practice. The references for engineering value selection of rock strength under different credibility or according to frequency distribution of central values are provided to increase the reliability and precision of calculation.