基于质量指标的隧道围岩智能分级及精益建造研究OA

Accurate identification of surrounding rock level in tunnel engineering is the foundation of surrounding rock stability evaluation and tunnel excavation lean support.The quality index of the surrounding rock is the basis of the evaluation of the surrounding rock grade.Since the calculation of the quality index of the surrounding rock includes qualitative and quantitative factors,it is difficult to evaluate the qualitative index accurately and evaluate the surrounding rock grade accurately.The intelligent surrounding rock classification software system is constructed by combining the surrounding rock quality index classification method and the machine learning algorithm,the surrounding rock classification quality index elements are analyzed quantitatively,the surrounding rock quality index is solved by numerical method,and the surrounding rock quality factors are collected by the surrounding rock grade determination card.The card information software system can automatically read,analyze and determine the grade of surrounding rock quickly,accurately determine the support parameters and dynamically optimize the original support design scheme.The research results have been applied in three tunnel projects to achieve the goal of accurate classification of tunnel surrounding rock and lean support construction.