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A new rock bolt design criterion and knowledge-based expert system for stratified roof.

机译：分层顶板的新型锚杆设计准则和基于知识的专家系统。

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摘要

Since its development in the 1920s, bolting has become the most dominant support method in underground construction. However, because of the geological environment, the design process for roof bolt systems is an art rather than a science. To quantify the selection of bolting systems a MSBT (minimum solid beam thickness) approach was developed. The ultimate goal of this bolt design paradigm was achieved by optimizing bolt length, bolt density, and bolt pretension during installation. The impact of the number of strata layers within bolting range and pretension applied to bolts upon the stability of an opening was investigated using FLAC model. Four statistical models for predicting optimum bolt supports using a minimum solid beam thickness were established, and based on these results, a design criterion was proposed.; To meet support needs in various geological and geotechnical settings, a variety of bolt types have been developed. The installation of such bolt-based support systems is often complex and specialized, and thus imposes a challenge for engineers to identify the specific cause and to take appropriate remedial measures once problems arise. To solve these problems, a knowledge-based expert system (KBES) has been developed. The knowledge base includes the data accumulated from years of laboratory and field investigations conducted by the Mine Safety and Health Administration of the US Department of Labor. A user-friendly Windows-based program was implemented using KAPPA environment. After identifying the problem, the KBES searches its knowledge base and reasons out the most likely, secondary, and other potential causes, then provides solutions according to users' input. (Abstract shortened by UMI.)
机译：自1920年代发展以来，锚固已成为地下建筑中最主要的支撑方法。但是，由于地质环境的原因，车顶螺栓系统的设计过程是一门艺术，而不是一门科学。为了量化螺栓连接系统的选择，开发了一种MSBT（最小实心梁厚度）方法。通过优化安装过程中的螺栓长度，螺栓密度和螺栓预紧力，实现了此螺栓设计范例的最终目标。利用FLAC模型研究了锚固范围内层数和螺栓预紧力对开口稳定性的影响。建立了四个使用最小实心梁厚度预测最佳螺栓支撑的统计模型，并根据这些结果提出了设计准则。为了满足各种地质和岩土环境中的支持需求，已经开发了多种螺栓类型。这样的基于螺栓的支撑系统的安装通常是复杂且专业的，因此给工程师提出了挑战，以找出具体原因并在出现问题时采取适当的补救措施。为了解决这些问题，已经开发了基于知识的专家系统（KBES）。知识库包括由美国劳工部矿山安全与健康管理局进行的多年实验室和现场调查收集的数据。使用KAPPA环境实现了一个基于Windows的用户友好程序。确定问题后，KBES会搜索其知识库并找出最可能，次要和其他潜在原因的原因，然后根据用户的输入提供解决方案。 （摘要由UMI缩短。）

著录项

  • 作者

    Luo, JunLu.;

  • 作者单位

    Virginia Polytechnic Institute and State University.;

  • 授予单位 Virginia Polytechnic Institute and State University.;
  • 学科 Engineering Mining.
  • 学位 Ph.D.
  • 年度 1999
  • 页码 189 p.
  • 总页数 189
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 矿业工程;
  • 关键词

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