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基于阈值滤波算法的气体爆破裂缝图像识别及破岩效果评价

Gas Explosion Crack Image Recognition and Rock Breaking Effect Evaluation Based on Threshold Filtering Algorithm
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摘要 为实现对高温高压气体爆破效果的评价并确定最佳起爆压力,设计了一种基于阈值滤波算法的裂缝识别方法。同时,提出结合熵权法与计盒维数的裂缝参数评价方法。该方法在MATLAB软件中运用阈值滤波算法识别裂缝,基于二值图获取裂缝周长、裂隙度、裂缝宽度、计盒维数等定量特征,采用熵权法确定裂缝敏感指标,结合计盒维数分析裂缝复杂程度,评价爆破效果并确定最佳起爆压力区间。使用该方法对三种不同起爆压力下的试样进行识别处理,结果表明,随着起爆压力增大,裂缝宽度涨幅从62.2%减小至47.6%;裂隙度涨幅从47.6%减小至13.2%。同时,裂缝复杂程度的增长幅度也逐渐变小,这表明爆破效能利用率逐渐降低。因此,在保证能量利用率前提下的最佳爆破效果对应的起爆压力区间为120~150 MPa。 In order to evaluate the blasting effect of high temperature and high pressure gas and determine the optimal initiation pressure,a crack identification method based on threshold filtering algorithm was designed,along with a crack parameter evaluation method combined with entropy weight method and box dimension.In this method,MATLAB software is used to identify cracks using thre-shold filtering algorithm,quantitative characteristics such as crack perimeter,fracture degree,crack width,and box dimension are obtained based on binary diagrams,and the crack sensitivity index is determined by entropy weight method,and the complexity of analysis is combined with box dimension to evaluate the blasting effect and determine the optimal initiation pressure range.The results show that the growth rate of crack width decreased from 62.2%to 47.6%,and the growth rate of fracture degree decrease from 47.6%to 13.2%.Furthermore,the increase of crack complexity gradually diminished,indicating that the utilization rate of blasting efficiency gradually decreases,and the initiation pressure range corresponding to the optimal blasting effect under the premise of ensuring energy utilization is from 120 MPa to 150 MPa.
作者 李泽宇 胡少斌 LI Zeyu;HU Shaobin(School of Civil Engineering and Transportation,Hohai University,Nanjing,Jiangsu 210098,China)
出处 《河北工程大学学报(自然科学版)》 2025年第4期24-32,共9页 Journal of Hebei University of Engineering(Natural Science Edition)
基金 国家自然科学基金资助项目(41702289) 江苏省自然科学基金资助项目(BK20201313) 湖北省爆破工程重点实验室基金资助项目(HKLBEF202004)。
关键词 高压气体爆破 图像识别 熵权法 分形维数 爆破效能 high pressure gas explosion image recognition entropy weight method fractal dimension blasting efficiency
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