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对被动土压力的概率评估,考虑到土壤参数和设计因素的空间变化
Jim Shiau1, Tan Nguyen2, Thinh Pham-Tran-Hung3
1School of Engineering, University of Southern Queensland, Toowoomba, QLD, 4350, Australia.
这项研究将蒙特卡洛模拟与有限元素分析相结合,以评估土壤结构稳定性. 它量化了由于土壤特性变化的故障概率 (PF),为工程师提供了实用的设计图表.
科学领域:
- 地质技术工程 地质技术工程
- 计算地质力学计算地质力学
- 土壤力学 土壤力学
背景情况:
- 传统的土壤结构稳定性分析使用具有平均土壤参数的确定性方法.
- 蒙特卡洛模拟 (MCs) 揭示了确定性方法的局限性,强调需要了解失败概率 (PF).
- 土壤性质的空间变化显著影响结构稳定性和故障概率.
研究的目的:
- 研究土壤特性 (摩擦角度,单位重量) 的空间变化对土壤结构中故障概率 (PF) 的影响.
- 通过将MC与有限元极限分析集成,开发一个统计学上可靠的框架来评估PF.
- 为工程师提供实用的设计工具,如参数图表,以根据安全因素估计PF.
主要方法:
- 进行了广泛的蒙特卡洛模拟 (MCs),使用日志常态分布和土壤属性的空间相关长度.
- 结局元素极限分析与MCs相结合,以确定安全因素和PF之间的关系.
- 适应性有限元素网格被使用,以获得对土壤结构失效机制的新见解.
主要成果:
- 在安全因素和土壤结构故障概率 (PF) 之间建立了统计学上可靠的关系.
- 证明了土壤性质的空间变化对PF的重大影响.
- 开发了参数设计图表,使从业人员能够对给定的安全因素估计PF.
结论:
- 集成的MC和有限元素极限分析框架为土壤结构稳定性提供了更可靠的评估.
- 这些发现为地质工程师提供了实用工具和更好的理解,改善了设计决策和信心.
- 这项研究解决了现有研究的差距,通过结合空间变性和适应性网格来分析故障机制.
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