Assessment of Dynamic Pile Driving Using Machine Learning

使用机器学习评估动态打桩

• 批准号: DP230102781
• 负责人: Prof Hadi Khabbaz
• 金额: $ 29.07万
• 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/DP230102781
• 关键词: Assessment; Dynamic; Pile; Driving; Using

This project aims at developing new technology to determine ground properties and foundation capacity in real-time during pile installation by adopting rigorous numerical simulation, laboratory experiments and artificial intelligence-based computational model. Although impact driving is used commonly to install piles on site, there is no technology currently available to interpret collected data accurately and in real-time to provide live feedback and optimise construction processes. This research will provide new machine learning model to assess the ground and foundation characteristics during construction, and will increase certainty in infrastructure investment in Australia particularly for costly transport assets and infrastructure.

本项目旨在通过严格的数值模拟、实验室实验和基于人工智能的计算模型，开发在桩安装过程中实时确定地基性质和基础承载力的新技术。虽然冲击驱动通常用于现场安装桩，但目前还没有技术可以准确实时地解释收集到的数据，以提供实时反馈并优化施工过程。这项研究将提供新的机器学习模型来评估施工期间的地面和基础特征，并将增加澳大利亚基础设施投资的确定性，特别是昂贵的运输资产和基础设施。