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Optimizing process of preparing artificial-similar material for rocky slope with uniform formula design

Optimizing process of preparing artificial-similar material for rocky slope with uniform formula design

作     者:FAN Tian-cheng ZHOU Chuan-bo JIANG Nan WU Ting-yao 范天成;周传波;蒋楠;吴廷尧

作者机构:Departerment of Engineering China University of Geosciences (Wuhan) 

基  金:Projects(41372312,51379194)supported by the National Natural Science Foundation of China Project(CUGL140817)supported by the Fundamental Research Funds for the Central Universities of China University of Geosciences(Wuhan) Project(2014CFB894)supported by the Natural Science Foundation of Hubei Province of China Project(2014M552113)supported by the China Postdoctoral Science Foundation 

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

年 卷 期:2018年第25卷第12期

页      码:2871-2882页

摘      要:The determination of material formula needs try-and-error experiment,and consumes large amount of time and *** order to solve the problem,a comprehensive method is established,via the experiment of artificial-similar material formula of a mine *** controlled the samples by the compactness,and arranged the formula of the test group with the method of the uniform formula *** physical and mechanical parameters of these samples were analyzed using the method of the partial least-squares regression(PLS).And a mathematical model of the indexes of physical and mechanics parameters relating to the factors of formulation constituents was established *** used the model to analyze the effect of each formulation constituent on physical and mechanics parameters of *** experiment results and analysis illustrates that1)in the formulation of similar material,the effect of raw materials on the internal friction angleφand cohesion C is opposite;2)The method can highly facilitate the process of the of preparing artificial-similar materials,more economic and effective.

主 题 词:fault artificial-similar material optimization uniform formula experiment multiple independent variable and multiple dependent variable partial least-squares regression 

学科分类:08[工学] 080104[080104] 0815[工学-矿业类] 0801[工学-力学类] 

核心收录:

D O I:10.1007/s11771-018-3959-5

馆 藏 号:203430231...

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