Investigation of Grey System Theory in Engineering Project Risk Management

Wan-bin, Yang; Qu, Zhiming

doi:10.1109/icicta.2009.810

Cited by 1 publication

(1 citation statement)

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“…Assuming that the evaluation index consists of s gray classes ( k = 1, 2, ..., s ), with a total of five subclasses. The whitening weight function of the index j belonging to the gray class k is denoted by f j k ( x ), and x j k is the turning point of the whitening weight function . The conventional whitening weight functions include the typical whitening weight function, lower limit measure whitening weight function, moderate measure whitening weight function, and upper limit measure whitening weight function (Figure ).…”

Section: Establishment and Comprehensive Evaluation Of A Coal Measure...mentioning

confidence: 99%

Analysis of Rock Mechanical Characteristics and Establishment of an Evaluation System for Coal Measures in the Longtan Formation, Guizhou Province

Liang,

Cao,

Sang

et al. 2024

ACS Omega

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The mechanical properties of coal measure rocks and their evaluation significantly impact the process and efficacy of coal measure exploration and development. This study focuses on the Guizhou Longtan Formation coal measure. The mechanical and fracturing characteristics of coal measure rock samples are analyzed via well coring, geophysical logging, and indoor experiments. Additionally, predictive models for rock mechanical parameters are developed, and an evaluation system for the Longtan Formation coal measure rock mass is established. The findings are as follows: (1) Coal measure rocks in Guizhou's Longtan Formation exhibit a relatively low elastic modulus and tensile strength, but a substantial variation in compressive strength. The triaxial compressive strength, elastic modulus, and residual strength increase nonlinearly with increasing confining pressure. As the confining pressure increases, the failure mode of the mudstone and siltstone transitions from primarily splitting failure to shearing failure. (2) Strong correlations are calculated between logging parameters and rock mechanical parameters and are used to construct three regression prediction models, yielding an average prediction accuracy of approximately 85% for rock mechanical properties. (3) Considering the rock mechanical properties, rock mass structure and stratigraphic characteristics, and the occurrence environment related to the characteristics of rock mass affecting coal measure gas development, eight evaluation indices are selected. The analytic hierarchy process−entropy weighting method is used to determine the weights of the comprehensive evaluation indices, and a coal measure rock mass evaluation system is established by utilizing gray clustering analysis. The evaluation results categorize the mudstone group (mudstone and silty mudstone) as Classes III−IV, the fine sandstone group as Classes I and II, and the siltstone group (muddy siltstone and siltstone) as Classes II and III. A comparative analysis with fuzzy comprehensive evaluation results and extenics theory evaluation results demonstrated a high level of consistency. These findings benefit coal measure rock mechanics classification and quantitative research on rock mechanics properties, providing a solid foundation for efficient coal measure gas exploration and development.

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Section: Establishment and Comprehensive Evaluation Of A Coal Measure...mentioning

confidence: 99%