Unlocking the changing strength of fine-grained soils in numerical analyses

在数值分析中解锁细粒土的强度变化

• 批准号: DE170100119
• 负责人: Dr Samuel Stanier
• 金额: $ 9.25万
• 依托单位: The University of Western Australia
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2017
• 资助国家: 澳大利亚
• 起止时间: 2017-06-30 至 2018-10-01
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE170100119
• 关键词: Unlocking; changing; strength; fine; grained

This project aims to numerically simulate strain-softening-hardening in fine-grained soils. Fine-grained soils soften during deformation and harden as excess pore pressures dissipate. Models exist that allow strain-softening and hardening in finite element simulations, but suffer from mesh-dependency. Regularisation methods can alleviate mesh-dependency, but an appropriate characteristic length for the regularisation is needed and difficult to determine. This project will use image-based soil deformation measurement and aspects of the finite element method to determine appropriate regularisation techniques, characteristic lengths and constitutive relations. Reliably modelling strain-softening and hardening in finite element simulations is expected to reduce uncertainty in design and make civil infrastructure cheaper.

本计画旨在数值模拟细粒土之应变软化硬化。细粒土在变形过程中软化，并随着超孔隙压力消散而硬化。存在允许在有限元模拟中应变软化和硬化的模型，但遭受网格依赖性。正则化方法可以减轻网格依赖性，但需要适当的正则化特征长度，并且难以确定。该项目将使用基于图像的土壤变形测量和有限元方法的各个方面，以确定适当的正则化技术，特征长度和本构关系。在有限元模拟中对应变软化和硬化进行可靠的建模，预计将减少设计中的不确定性，并使民用基础设施更便宜。