Abstract
In this paper, the quantitative evaluation of the explosion effect based on the fuzzy comprehensive evaluation method is proposed to describe the qualitative evaluation results. The selected state characteristic parameters are expressed by two kinds of membership functions, fuzzy normal and triangular distribution membership functions, and preliminary evaluation results are obtained. The validity index of the maximum membership principle is used to assess the accuracy of the evaluation results of two algorithms, and a relevant approaching degree is chosen to optimize the results. The entire evaluation process selects eleven indicators to form an evaluation set, including the boulder yield, root rate, flying distance of flyrock, explosive consumption, postcracking distance, detonator unit consumption, vibration velocity, loose coefficient, cast distance, throw rate, and blasted volume per meter of hole. Part of the indicator parameters are derived from field test monitoring, and another part of the indicator parameters are derived from numerical simulation. The simulation process uses the user-defined material interface function provided by LS-DYNA. And the numerical model of slope blasting is established by embedding the evolution relationship of tensile and compressive damage into the elastoplastic constitutive material. The evaluation method proposed in this paper is used to evaluate the postexplosion effect of Zijin Mountain gold-copper mine slope cast blasting. The results demonstrate that the fuzzy normal distribution membership function can correlate the state characteristic information and evaluation index effectively, and the working condition after explosion can be reflected accurately. Additionally, the influencing factors can be ranked by the importance degrees according to the calculated value of the evaluation index.
Highlights
Blasting technology is widely used in infrastructure construction, such as mine engineering, tunnel and underground engineering, municipal engineering, civil air defense and national defense engineering, water conservancy and hydropower engineering, and nuclear power construction engineering
Based on the fuzzy comprehensive evaluation method for the step-cast blasting effect, in this paper, we mainly discuss the difference between the blasting effect evaluation results when membership functions for the factor evaluation set are selected for Gaussian and triangle distributions, and relevant nearness analysis is chosen to optimize the results
We propose that when nonlinear factors, such as the impact of the blasting effect, are selected to measure the evaluation results of the target layer, the related membership function should be adopted to optimize the evaluation result so that the fuzzy probability obtained for the step-cast blasting effect can reflect engineering practice more accurately
Summary
Wenhai Zhou ,1 Zhenbao Li, Xin Wu, Shujiang Wang, Yaru Lv, Xiaoming Lou, Chaofei Du, and Rui Liang 1. The quantitative evaluation of the explosion effect based on the fuzzy comprehensive evaluation method is proposed to describe the qualitative evaluation results. E selected state characteristic parameters are expressed by two kinds of membership functions, fuzzy normal and triangular distribution membership functions, and preliminary evaluation results are obtained. The numerical model of slope blasting is established by embedding the evolution relationship of tensile and compressive damage into the elastoplastic constitutive material. E evaluation method proposed in this paper is used to evaluate the postexplosion effect of Zijin Mountain gold-copper mine slope cast blasting. E results demonstrate that the fuzzy normal distribution membership function can correlate the state characteristic information and evaluation index effectively, and the working condition after explosion can be reflected accurately. The influencing factors can be ranked by the importance degrees according to the calculated value of the evaluation index
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