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作 者:Shuohui Yin Yingjie Wang Jingang Liu
机构地区:[1]Engineering Research Center of Complex Tracks Processing Technology and Equipment of Ministry of Education,Xiangtan University,Xiangtan 411105,China [2]School of Mechanical Engineering and Mechanics,Xiangtan University,Xiangtan 411105,China
出 处:《International Journal of Mining Science and Technology》2024年第9期1327-1339,共13页矿业科学技术学报(英文版)
摘 要:The exploration of Mars would heavily rely on Martian rocks mechanics and engineering technology.As the mechanical property of Martian rocks is uncertain,it is of utmost importance to predict the probability distribution of Martian rocks mechanical property for the success of Mars exploration.In this paper,a fast and accurate probability distribution method for predicting the macroscale elastic modulus of Martian rocks was proposed by integrating the microscale rock mechanical experiments(micro-RME),accurate grain-based modeling(AGBM)and upscaling methods based on reliability principles.Firstly,the microstructure of NWA12564 Martian sample and elastic modulus of each mineral were obtained by micro-RME with TESCAN integrated mineral analyzer(TIMA)and nanoindentation.The best probability distribution function of the minerals was determined by Kolmogorov-Smirnov(K-S)test.Secondly,based on best distribution function of each mineral,the Monte Carlo simulations(MCS)and upscaling methods were implemented to obtain the probability distribution of upscaled elastic modulus.Thirdly,the correlation between the upscaled elastic modulus and macroscale elastic modulus obtained by AGBM was established.The accurate probability distribution of the macroscale elastic modulus was obtained by this correlation relationship.The proposed method can predict the probability distribution of Martian rocks mechanical property with any size and shape samples.
关 键 词:Probability distribution Martian rocks Microscale rock mechanic experiment Nanoindentation Accurate grain-based modeling
分 类 号:P185.3[天文地球—天文学] V419[航空宇航科学与技术—航空宇航推进理论与工程]
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