离散元件损坏构成模型的Loess和相应的参数灵敏度分析基于债券利率
Hui Qi1,2, Xiaoyan Liu3, Haining Wang2
1School of Qilu Transportation, Shandong University, Jinan 250002, China.
Materials (Basel, Switzerland)
|May 7, 2025
概括
一个新的离散元素方法 (DEM) 模型使用债券利率参数量化湿干周期的损害. 该模型改善了在环境退化下对地质技术材料行为的预测.
科学领域:
- 地质技术工程 地质技术工程
- 计算力学 计算力学 计算力学
- 材料科学 是一种材料科学.
背景情况:
- 压缩在环境压力下表现出复杂的损伤行为,如湿干循环.
- 现有的离散元素方法 (DEM) 模型往往缺乏定量方法来描述粒子间键的恶化.
- 了解微宏关系对于预测地质技术材料的长期性能至关重要.
研究的目的:
- 引入一种新型的DEM模型,用于压缩,该模型包含一个债券利率参数.
- 从数量上模拟由重复的湿干循环引起的构成性损伤行为和结构性降解.
- 分析微观参数对宏观机械性能的影响.
主要方法:
- 开发一个DEM模型,使用线性接触债券模型和债券利率参数.
- 使用比较实验数据进行校准和验证.
- 对微观参数 (接触刚度,摩擦系数,接触强度,结合率) 和它们对宏观行为的影响进行系统分析.
主要成果:
- 该模型准确地描述了由于湿干循环而导致的结构损坏进展.
- 降低债券利率参数显著降低了的宏观机械性能.
- 这项研究提供了对微观宏观关系的洞察,这些关系决定了Loess的行为.
结论:
- 新的DEM模型提供了一种定量方法,用于预测损伤和材料特性.
- 纳入债券利率参数可以增强对环境退化影响的模拟.
- 这种方法为建模长期地质技术材料行为和改进地球结构设计提供了有价值的参考.
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