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多因素耦合下自动切缝控制对隧道顶板地形质量的分析。

Analysis of the quality of tunnel roof topography by automatic cutting control under the coupling of multiple factors.

机构信息

School of Mechanical Engineering, Liaoning Technical University, Fuxin, China.

Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao, China.

出版信息

PLoS One. 2024 Mar 21;19(3):e0299805. doi: 10.1371/journal.pone.0299805. eCollection 2024.

DOI:10.1371/journal.pone.0299805
PMID:38512903
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10956871/
Abstract

The automatic cutting of coal and rock surface morphology modeling based on the actual geological environment of coal mine underground excavation and mining is of great significance for improving the surface quality of coal and rock after cutting and enhancing the safety and stability of advanced support. To this end, using the principle of coordinate transformation, the kinematic trajectory of the cutting head of the tunneling machine is established, and the contour morphology of the cutting head under variable cutting technology is obtained. Then, based on the regenerative vibration theory of the cutting head, a dynamic model of the cutting head coal wall is established, and the coordinate relationship of the cutting head in the tunnel coordinate system under vibration induction is analyzed. Based on fractal theory and Z-MAP method, a simulation method for the surface morphology of coal and rock after cutting is proposed, which is driven by the cutting trajectory Under the coupling effect of cutting vibration induction and random fragmentation of coal and rock, simulation of the surface morphology of comprehensive excavation tunnels was conducted, and relevant experiments were conducted to verify the results. A 1:3 similarity experimental model of EBZ160 tunneling machine was used to build a cutting head coal and rock system cutting experimental platform for comparative experiments of cutting morphology. Furthermore, statistical methods were used to compare and evaluate the simulated roof with the actual roof. The results show that the relative errors between the maximum range of peaks and valleys, the peak skewness coefficient of height standard deviation, and the kurtosis coefficient of the actual roof are 1.3%, 24.5%, 16%, and 2.9%, respectively. Overall, this indicates that the surface morphology distribution characteristics of the simulated roof and the actual roof are similar, verifying the effectiveness of the modeling and simulation method proposed in this paper, and providing theoretical support for the design and optimization of advanced support in the future.

摘要

基于煤矿地下开采实际地质环境的煤岩自动截割表面形态建模对于提高截割后煤岩表面质量、增强超前支护的安全性和稳定性具有重要意义。为此,利用坐标变换原理,建立了掘进机截割头的运动轨迹,得到了变截割技术下截割头的轮廓形态。然后,基于截割头再生振动理论,建立了截割头煤壁的动力学模型,并分析了振动感应下截割头在隧道坐标系中的坐标关系。基于分形理论和 Z-MAP 方法,提出了一种基于切削轨迹的煤岩切削表面形态模拟方法,在切削振动感应和煤岩随机破碎的耦合作用下,对综合掘进隧道的表面形态进行了模拟,并进行了相关实验验证。采用 EBZ160 掘进机 1:3 相似实验模型,建立了截割头煤岩系统截割实验平台,进行了截割形态的对比实验。此外,还采用统计方法对模拟顶板与实际顶板进行了比较和评价。结果表明,最大峰谷范围、高度标准差峰偏度系数和峰态系数的实际顶板的相对误差分别为 1.3%、24.5%、16%和 2.9%。总体而言,这表明模拟顶板和实际顶板的表面形态分布特征相似,验证了本文提出的建模和仿真方法的有效性,为今后超前支护的设计和优化提供了理论支持。

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