基于统计损伤修正的冻结砂-黏混合土改进 Duncan-Chang 模型
滕振超 , 李正巍 , 刘佳琳 , 周亚东 , 李波 , 刘彦峰 , 池林林 , 张圣童 , 刘博 , 计静
东北石油大学学报 ›› 2024, Vol. 48 ›› Issue (2) : 116 -124.
基于统计损伤修正的冻结砂-黏混合土改进 Duncan-Chang 模型
Improved Duncan-Chang model for frozen sand-clay mixed soil based on statistical damage correction
To describe the stress-strain relationship of frozen sand clay mixed soil, triaxial compression tests were conducted on frozen soil with different sand contents. Based on the improved Duncan-Chang model (D-C model), statistical damage theory is introduced to fit the results of triaxial compression tests. Statistical damage correction models with Mises strength criteria and strain development as micro element strength variables are established, and compared with experimental data. The results show that the peak value of deviatoric stress in frozen mixed soil increases with the increase of sand content, and the critical sand content of the deviatoric stress-strain curve gradually transitions from strain hardening type to strain softening type. When the sand content is between 20% and 60%, the improved D-C model based on statistical damage correction can effectively fit the strain hardening curve and the deviatoric stress-strain curve with slight strain softening phenomenon. When the sand content is 90%, the peak deviation stress of the statistical damage correction model based on strain development is 3% different from the experimental results, indicating strong applicability. This result provides a reference for statistical damage correction models with different micro element strength variables.
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黑龙江省自然科学基金联合引导项目(LH2020E018)
东北石油大学创新引导项目(2023YDL-14)
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