基于对穿声波波速的岩体完整性多尺度评价新指标与分析方法

Translated title of the contribution: New index and analysis method for multi-scale rock mass integrity assessment based on P-wave velocity

Mingchao Li, Bowen Shi, Shuai Han, Gang Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

3 Citations (Scopus)

Abstract

Rock mass integrity, which can be obtained effectively according P-wave velocity, is an important factor for evaluating rock mass quality. To overcome the problems of too much subjectivity and insufficient precision in the traditional evaluation process using empirical formulas, a new multi-scale rock mass integrity index(MRMII) and corresponding evaluation method are proposed based on weighted random forest(WRF) algorithm and P-wave velocity data. The MRMII, comprehensively considering various key parameters such as the P-wave velocity along the hole depth, unloading conditions, hydrogeology, buried depth and lithology, is calculated by the proportions of various rock mass integrality in WRF model prediction results. An actual engineering application shows that the calculation values of the MRMII are consistent with the field surveys, showing that the MRMII can be used to refine evaluation of rock mass integrity in different scales. In addition, compared with the traditional P-wave testing method, the MRMII can reduce the impact of measurement errors and insufficient engineer experience on classification results and obtain more suitable results for guiding engineering construction.

Translated title of the contributionNew index and analysis method for multi-scale rock mass integrity assessment based on P-wave velocity
Original languageChinese (Simplified)
Pages (from-to)2060-2068
Number of pages9
JournalYanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering
Volume39
Issue number10
DOIs
Publication statusPublished - 1 Oct 2020

Keywords

  • Evaluation index
  • Fine classification
  • Multi-scale
  • P-wave velocity
  • Rock mass integrity
  • Rock mechanics
  • Weighted random forest

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Geotechnical Engineering and Engineering Geology
  • Geology

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