指标元素的提取和成像,用于无损、原位、快速识别隧道内的不良地质情况

IF 11.7 1区 工程技术 Q1 MINING & MINERAL PROCESSING
Fumin Liu, Peng Lin, Zhenhao Xu, Ruiqi Shao, Tao Han
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引用次数: 0

摘要

地质信息定量化方法和探测技术的滞后,导致隧道地质分析耗时长,且需要人工经验。岩石地球化学指标可以用来识别不利地质条件,解释正常岩石破坏的内在原因。提出了一种通过指标元素提取和成像识别不良地质的方法。在因子分析的基础上,通过指标元素提取,快速确定岩石组分与地质体之间的映射关系,并对数据进行网格化处理,输出图像。通过指标元素的分布图像直观地识别目标不良地质的位置和大小,从而减少了数据维数和分析时间。采用无损、原位、快速的隧道元素检测技术,加快了地质识别的进程。通过对比现场和实验室检测结果,验证了检测的准确性。本研究进一步证实和完善了前人的研究成果,为地质、矿山和地下工程提供了参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extraction and imaging of indicator elements for non-destructive, in-situ, fast identification of adverse geology in tunnels

The lag in quantitative methods and detection techniques for geologic information has resulted in time-consuming and human-experienced geologic analysis in tunnels. Geochemical indicators of rocks can be used to identify adverse geology and to explain the intrinsic causes of damage to normal rocks. This study proposes a method to identify adverse geology by extracting and imaging the indicator elements. The mapping relationship between rock components and geologic bodies is quickly determined by indicator element extraction based on factor analysis, and then the data are gridded for image output. The location and size of the target adverse geology are visually identified through the distribution images of the indicator elements, thus reducing data dimensions and analysis time. A non-destructive, in-situ and fast element detection technique in tunnels was adopted to speed up the process of geology identification. The accuracy of the detection was validated by comparing field and laboratory test results. This study further confirms and refines the previous research, and the results provide references for geological, mining and underground projects.

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来源期刊
International Journal of Mining Science and Technology
International Journal of Mining Science and Technology Earth and Planetary Sciences-Geotechnical Engineering and Engineering Geology
CiteScore
19.10
自引率
11.90%
发文量
2541
审稿时长
44 days
期刊介绍: The International Journal of Mining Science and Technology, founded in 1990 as the Journal of China University of Mining and Technology, is a monthly English-language journal. It publishes original research papers and high-quality reviews that explore the latest advancements in theories, methodologies, and applications within the realm of mining sciences and technologies. The journal serves as an international exchange forum for readers and authors worldwide involved in mining sciences and technologies. All papers undergo a peer-review process and meticulous editing by specialists and authorities, with the entire submission-to-publication process conducted electronically.
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