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Research on interactions among parameters affecting dynamic mechanical properties of sandstone after freeze-thaw cycles
Engineering Geology ( IF 6.9 ) Pub Date : 2021-08-20 , DOI: 10.1016/j.enggeo.2021.106332
Ruifeng Zhao , Yue Zhai , Fandong Meng , Yubai Li , Yan Li

In this study, the interactions among parameters affecting the dynamic strength of the sandstone after freeze-thaw (F-T) cycles are studied from the perspective of system. Based on the impact test results of F-T sandstone from different regions, a dataset is built to exclude the peculiar characteristics of certain kind of sandstone so that the interactions obtained are more universal. The improved Mahalanobis self-organizing map (SOM) algorithm is used to cluster the dataset, and global interaction matrix (GIM) in the rock engineering system (RES) is coded by the clustering result and Pearson correlation coefficient. The interactions among lithology, quality change (QC), porosity change (PC), strain rate (SR), number of F-T cycles (NFT), and F-T temperature difference (FTD) and their effects on the dynamic mechanical properties of the sandstone after F-T cycles are examined. The results show that the improved Mahalanobis SOM can eliminate the correlation interference between dimension and factors. The coding method based on Pearson correlation coefficient solves the problem of high subjectivity and low linearization quantization of GIM coded by subjective method. The system theory suggests that PC, lithology, NFT, QC, FTD, and SR have strong interaction intensity. NFT, PC, QC, and FTD are more dominant. The interaction path is divided into sensitive effect, adverse effect, and circulation effect. By analyzing these three effects, the deterioration mechanism of sandstone after F-T cycles is revealed from perspective of engineering system.



中文翻译:

冻融循环后影响砂岩动态力学特性的参数间相互作用研究

本研究从系统的角度研究了影响冻融循环后砂岩动态强度的参数之间的相互作用。根据不同地区FT砂岩的冲击试验结果,建立数据集,排除某类砂岩的特殊特性,使得到的相互作用更具普适性。采用改进的Mahalanobis自组织图(SOM)算法对数据集进行聚类,通过聚类结果和Pearson相关系数编码岩石工程系统(RES)中的全局相互作用矩阵(GIM)。岩性、质量变化 (QC)、孔隙度变化 (PC)、应变率 (SR)、FT 循环次数 (NFT) 之间的相互作用,FT 温差 (FTD) 及其对 FT 循环后砂岩动态力学性能的影响。结果表明,改进的Mahalanobis SOM可以消除维度与因子之间的相关干扰。基于Pearson相关系数的编码方法解决了主观方法编码的GIM量化主观性高、线性化程度低的问题。系统理论表明,PC、岩性、NFT、QC、FTD 和 SR 具有很强的相互作用强度。NFT、PC、QC 和 FTD 更占优势。相互作用路径分为敏感效应、不良效应和循环效应。通过分析这三种效应,从工程系统的角度揭示了FT循环后砂岩的劣化机制。结果表明,改进的Mahalanobis SOM可以消除维度与因子之间的相关干扰。基于Pearson相关系数的编码方法解决了主观方法编码的GIM量化主观性高、线性化程度低的问题。系统理论表明,PC、岩性、NFT、QC、FTD 和 SR 具有很强的相互作用强度。NFT、PC、QC 和 FTD 更占优势。相互作用路径分为敏感效应、不良效应和循环效应。通过对这三种效应的分析,从工程系统的角度揭示了FT循环后砂岩的劣化机制。结果表明,改进的Mahalanobis SOM可以消除维度与因子之间的相关干扰。基于Pearson相关系数的编码方法解决了主观方法编码的GIM量化主观性高、线性化程度低的问题。系统理论表明,PC、岩性、NFT、QC、FTD 和 SR 具有很强的相互作用强度。NFT、PC、QC 和 FTD 更占优势。相互作用路径分为敏感效应、不良效应和循环效应。通过分析这三种效应,从工程系统的角度揭示了FT循环后砂岩的劣化机制。基于Pearson相关系数的编码方法解决了主观方法编码的GIM量化主观性高、线性化程度低的问题。系统理论表明,PC、岩性、NFT、QC、FTD 和 SR 具有很强的相互作用强度。NFT、PC、QC 和 FTD 更占优势。相互作用路径分为敏感效应、不良效应和循环效应。通过分析这三种效应,从工程系统的角度揭示了FT循环后砂岩的劣化机制。基于Pearson相关系数的编码方法解决了主观方法编码的GIM量化主观性高、线性化程度低的问题。系统理论表明,PC、岩性、NFT、QC、FTD 和 SR 具有很强的相互作用强度。NFT、PC、QC 和 FTD 更占优势。相互作用路径分为敏感效应、不良效应和循环效应。通过分析这三种效应,从工程系统的角度揭示了FT循环后砂岩的劣化机制。和循环效果。通过分析这三种效应,从工程系统的角度揭示了FT循环后砂岩的劣化机制。和循环效果。通过分析这三种效应,从工程系统的角度揭示了FT循环后砂岩的劣化机制。

更新日期:2021-08-20
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