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- W4387664354 abstract "The physical and mechanical properties of geotechnical materials show different spatial variability due to those different composition and origin. The existing testing and detecting methods of geotechnical materials can not summarize the physical and mechanical characteristics of the geotechnical body as a whole, however, Characteristic parameter values for judging the stability of rock and the design of engineering structures is of great significance. Based on the genetic characteristics of characteristic geotechnical materials in limited space, this paper summarizes the definition of these genetic characteristics and their basic properties. On this basis, using the big data theory to analyze the data of geotechnical material parameters in a large number of practical projects and excavate their genetic characteristics. Based on the data analysis results of more than 30,000 groups of geotechnical materials in Chongqing area, this paper developed a software for managing and analyzing geotechnical materials’ genetic characteristics, the sample of mudstone and sandstone in the typical site of Chongqing is selected and applied to the analysis software, which provides a reliable basis for the selection of geotechnical material parameters in the geotechnical construction and geological disaster prevention project of Chongqing." @default.
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- W4387664354 date "2023-10-17" @default.
- W4387664354 modified "2023-10-17" @default.
- W4387664354 title "Research on genetic analysis method of geotechnical materials based on big data" @default.
- W4387664354 doi "https://doi.org/10.1117/12.3009253" @default.
- W4387664354 hasPublicationYear "2023" @default.
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