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| Macroscale elastic modulus and wave velocity response of the Martian Meteorite NWA 13190 based on microscale rock mechanics experiments and AGBM |
| QIAO Jiangmei1, 2, TONG Yuwen1, XU Shengzong1, LIU Linwei3, TANG Xuhai1, 2* |
(1. School of Civil Engineering, Wuhan University, Wuhan, Hubei 430072, China; 2. Shenzhen Research Institute, Wuhan University, Shenzhen, Guangdong 518108, China; 3. Ningxia Transportation Science Research Institute Co., Ltd., Yinchuan, Ningxia 750001, China)
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Abstract The macroscale mechanical properties and seismic wave velocity responses of Martian rocks are fundamental to the design of surface engineering operations and in-situ exploration missions on Mars. However, the small size and irregular morphology of Martian meteorite samples make it difficult to directly obtain their macroscale mechanical properties through traditional laboratory tests. To address this issue, the Martian meteorite NWA 13190 is taken as the research object and a cross-scale prediction approach that integrates microscale mechanical experiments with an accurate grain-based model (AGBM) to determine its macroscale elastic modulus and P-wave velocity is proposed. First, a TESCAN integrated mineral analyzer (TIMA) is employed to characterize the mineral composition, microstructure, and spatial distribution of minerals. Subsequently, nanoindentation and atomic force microscopy (AFM) are used to measure the micromechanical properties of the main rock-forming minerals and interphases. Based on these data, an AGBM incorporating the mineral distribution is constructed, and numerical simulations of uniaxial compression and elastic wave propagation are performed. The results indicate that NWA 13190 is mainly composed of clinopyroxene and maskelynite, with a macroscopic elastic modulus of 29.48 GPa and a P-wave velocity of 2.41 km/s. Compared with traditional macroscale experiments, the proposed approach does not require standard-sized specimens and enables rapid prediction of macroscale mechanical properties and wave velocity under sample-limited conditions. The results provide key mechanical parameters for rover mobility, drilling optimization, and seismic velocity inversion, and support rapid parameter evaluation in early Mars exploration stages.
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ZHANG Liao1, 2, LIU Yintong2, MAO Tingting1, 2, CHENG Jianchao1, 2, HOU Mengdong2, ZHOU Shenghao1, 2, LI Juan2, YAO Jinyue2, XUE Dongjie1, 2, 3?. AI super-resolution reconstruction of nano-CT digital coal-rock[J]. , 2026, 45(9): 2680-2702. |
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