Research on genetic analysis method of geotechnical materials based on big data

Ke Li; Dongsheng Liu; Yue Wu; Yanlei Wang; She Na

doi:10.1117/12.3009253

16 October 2023 Research on genetic analysis method of geotechnical materials based on big data

Ke Li, Dongsheng Liu, Yue Wu, Yanlei Wang, She Na

Proceedings Volume 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023); 128033Z (2023) https://doi.org/10.1117/12.3009253
Event: 2023 5th International Conference on Artificial Intelligence and Computer Science (AICS 2023), 2023, Wuhan, China

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.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ke Li, Dongsheng Liu, Yue Wu, Yanlei Wang, and She Na "Research on genetic analysis method of geotechnical materials based on big data", Proc. SPIE 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023), 128033Z (16 October 2023); https://doi.org/10.1117/12.3009253

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KEYWORDS

Genetics

Statistical analysis

Engineering

Analytical research

Design and modelling

Data analysis

Data acquisition

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