Modernise geotechnical investigation and analysis with machine learning

通过机器学习实现岩土工程勘察和分析现代化

• 批准号: DP230100678
• 负责人: Prof Daichao Sheng
• 金额: $ 31.71万
• 依托单位: University of Technology Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2023
• 资助国家: 澳大利亚
• 起止时间: 2023-01-01 至 2025-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP230100678
• 关键词: Modernise; geotechnical; investigation; analysis; machine

The project aims to address the ineffectiveness associated with risk analysis of geotechnical systems by reducing variabilities and by rigorously quantifying such variabilities. It is expected to generate new knowledge in machine-learning-aided risk analysis and in virtual modelling of multiphase-multiphysics-multiscale problems involving random variables. Expected outcomes are datasets and computer tools that are equipped with new functionalities including parameter optimisation, uncertainty quantification, machine-learning based surrogate models and risk analysis. These tools will help to bridge the increasing gap between academic research and engineering practice, transform geo-risk analysis and optimise complex construction processes.

该项目旨在通过减少可变性和严格量化这些可变性来解决与岩土系统风险分析相关的无效问题。预计它将在机器学习辅助风险分析和涉及随机变量的多阶段-多物理-多尺度问题的虚拟建模方面产生新的知识。预期结果是配备了新功能的数据集和计算机工具，包括参数优化、不确定性量化、基于机器学习的替代模型和风险分析。这些工具将有助于弥合学术研究和工程实践之间日益扩大的差距，转变地质风险分析，并优化复杂的施工流程。