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作 者:熊伟[1] 邹雄刚 徐金辉[1] 吴贤振[1] 高祥[1]
机构地区:[1]江西理工大学资源与环境工程学院,江西赣州341000
出 处:《有色金属科学与工程》2016年第5期81-85,共5页Nonferrous Metals Science and Engineering
基 金:江西省教育厅科技计划项目(GJJ12336);江西省研究生创新专项资金项目(YC2014-S352)
摘 要:为探寻粉砂岩破裂失稳过程中红外异常,引入分形理论,通过盒维数法计算出粉砂岩红外热图像特征粗糙度,结合方差及AIRT对单轴压缩下粉砂岩特征粗糙度演化特征进行分析.结果表明:热图像的特征粗糙度演化过程与方差相似,具体可分为3个阶段:在压密阶段,特征粗糙度和方差迅速增大且方差在这个阶段刻画较好;弹性阶段,特征粗糙度开始变小,两者刻画能力相当;塑性-峰后阶段,特征粗糙度值波动性增强,跳动幅度和频率都明显增加,且在应力峰值点转为变大,此现象即为岩石破裂红外前兆信息,阶段刻画能力较方差更理想.To explore the infrared anomaly in the process of fracture instability, the fractal theory is introduced to calculate the characteristic roughness of the infrared thermal image of siltstone by the box dimension method. The evolution characteristics of the sandstone under uniaxial compression are analyzed by combining variance and AIRT. The results show that the roughness evolution of the thermal image is similar to that the variance, and it can be divided into three stages. In the compaction stage. The characteristic roughness and the variance increase rapidly, and the variance is well characterized at this stage. In the elastic stage, the characteristic roughness starts to become smaller, and the ability to portray the same as the two. In the post peak stage, the characteristic roughness value is enhanced, and the amplitude and frequency are increased obviously. However, in the peak stress, characteristic roughness began to become big, which is infrared precursor information. In this stage, the ability to describe the characteristic is more ideal than variance.
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