Pipe-jacking tunneling machine model selection evaluation system and model selection method based on fuzzy mathematics

Abstract

The invention discloses a pipe-jacking tunneling machine type selection evaluation system and method based on fuzzy mathematics. The method comprises the steps that firstly, a multi-dimensional key evaluation index system covering planning and design requirements, hydrogeological conditions, surrounding environment factors and cutterhead configuration characteristics is constructed; secondly, establishing each index membership function aiming at different jacking pipe types and cutterhead configuration combinations by applying a fuzzy mathematics theory, and generating a membership matrix of jacking pipe adaptive type selection; and thirdly, determining a comprehensive index weight by adopting a subjective and objective weighting method fusion strategy, and finally constructing a fuzzy comprehensive evaluation model based on the membership matrix and the comprehensive weight, thereby realizing the adaptability quantitative evaluation of the pipe-jacking tunneling machines with different types and cutterheads. According to the method, the defect that traditional model selection depends on subjective experience is overcome, quantitative evaluation of pipe-jacking model selection under the complex stratum condition is achieved, the model selection accuracy and efficiency are improved, a reliable solution is provided for scientific model selection of the pipe-jacking tunneling machine, and the method has outstanding practicability and wide application prospects.