Meso analysis for rationality of disturbed state concept theory on utilization of hardening model for softening response depiction

ZHENG Jian-ye; GE Xiu-run; SUN Hong

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Meso analysis for rationality of disturbed state concept theory on utilization of hardening model for softening response depiction

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- Meso analysis for rationality of disturbed state concept theory on utilization of hardening model for softening response depiction
- Vol. 28, Issue 1, (2007)
- 作者机构：
  
  1. 上海交通大学船舶海洋与建筑工程学院,上海,200030
  2. 广州市建设科学技术委员会办公室,广州,510030
- 作者简介：
- 基金信息：
- DOI：
  CLC： TU452
- Online First：28 August 2013，
  
  Published：2007
- 稿件说明：
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ZHENG Jian-ye, GE Xiu-run, SUN Hong. Meso analysis for rationality of disturbed state concept theory on utilization of hardening model for softening response depiction[J]. 2007, 28(1).
DOI：

ZHENG Jian-ye, GE Xiu-run, SUN Hong. Meso analysis for rationality of disturbed state concept theory on utilization of hardening model for softening response depiction[J]. 2007, 28(1). DOI：

摘要

对基于硬化模型建立的扰动状态理论（DSC）做细观分析。扰动状态理论允许利用硬化模型得到软化响应。利用硬化土和软化土的宏观剪切实验与同时进行的细观CT实时实验结果对照，指出土体的硬化响应或软化响应与相应CT数统计值变化规律的协调关系，说明扰动状态理论分析和解决问题的逻辑合理性。硬化或软化材料CT数统计值变化规律的差异对应着扰动因子的叠加与否。提出一个新的扰动因子演化方程，演化方程以材料试件各扫描层CT数方差的算术平均值作为自变量，相应算例显示新演化方程的有效性。

Abstract

The paper performs meso analysis of disturbed state concept theory(DSC) which based on hardening model. DSC permits obtaining softening response by using hardening model. In meso analysis

the comparison between softening clay and hardening clay

through antitheses of experimental results under shear loading in macro vision along with synchronous outcomes of computerized tomography real-time test in micro vision

and the relationship between clay hardening or softening and their corresponding CT value changing

explains the logical rationality of disturbed state concept theory problem analyzing and solving. The rationality lies in the correspondence of CT value changing to whether or not superpose the disturbance factor D according to hardening or softening. A new disturbance factor evolution function is put forward. In the evolution function the mean of CT value variance of each scanning stratum is the independent variable. Examples show effectiveness of the evolution function.

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