Large surface mine slope collaborative design method based on multi-objective genetic algorithm

Abstract

The invention discloses a large surface mine slope collaborative design method based on a multi-objective genetic algorithm. The method comprises the steps: constructing a surface mine slope three-dimensional geomechanical model according to the engineering general situation of a selected large surface mine slope; establishing a fitness matrix according to the reasonable stripping ratio range, theparameter requirements of each stage of platform and the safety factor FS design specification values of each stage of slope; selecting a genetic operator and performing copying, variation and crossprocessing on the local parameters of the slope engineering to obtain a new mine slope design scheme set, introducing global convergence, judging whether the data of the mine slope design sub-scheme set reach an optimal solution and obtaining an optimization scheme set of mine slope design; and performing collaborative active prevention and control design on an unmined mine multi-stage slope according to an optimization scheme set of mine slope design, reinforcing an unstable mine slope through the anchor rod and anchor cable technology, and performing collaborative passive prevention and control design on the mined mine multi-stage slope. According to the method, the accuracy and the scientificity of the mine slope design scheme are improved.

Description

technical field [0001] The invention relates to a large-scale open-pit mine slope collaborative design method based on a multi-objective genetic algorithm, and belongs to the field of open-pit mine mining slope design. Background technique [0002] In recent years, with the rapid development of my country's economy, some large-scale construction projects related to the national economy and people's livelihood have been implemented one after another, such as large-scale hydropower projects in the central and western regions, expressways and high-speed railways, deep resource mining, strategic oil reserves, and nuclear power projects. The stability and catastrophe problems of large-scale open-pit mine slopes are quite prominent, especially the landslide geological disasters on the slopes of large-scale open-pit mines, which seriously affect production at least, and cause casualties and heavy losses of equipment and mineral resources. Statistical analysis shows that in large and...

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Problems solved by technology

[0003] Aiming at the problems existing in the above-mentioned prior art, the present invention provides a large-scale open-pit mine slope collaborative design method based on multi-objective genetic algorithm, which can carry out active prevention and control design for large-scale open-pit mine slopes from the source, and avoid mining in the middle and later stages. Due to the lack of slope safety, a large amount of reinforcement funds have been invested; with the overall slope FS, step slope FS, combined step slope FS, etc. The overall slope is relatively safe and the step slope is relatively unsafe caused by the slope design method; the multi-objective genetic algorithm is an intelligent algorithm with simple principle and operation, strong versatility, unconstrained by restrictive conditions, and has implicit parallelism And global solution search ability, improve the accuracy and scientificity of the mine slope design scheme, and provide a scientific basis for the university's open-pit mine slope design

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