Bayesian back analysis for settlement prediction of soft soils

软土沉降预测的贝叶斯反分析

• 批准号: LP200100367
• 负责人: Prof Jinsong Huang
• 金额: $ 18.3万
• 依托单位: The University of Newcastle
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-03-18 至 2025-03-17
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP200100367
• 关键词: Bayesian; back; analysis; settlement; prediction

The settlement of road embankments built on soft soils can take many years which has created additional challenges for road design and construction. Despite many years of experience with the Pacific Highway Upgrade, industry partners have seen many examples where embankments have settled more than expected during construction and after road opening. This causes potential delay delivering projects, ponding, potential aquaplaning and unexpected maintenance. This project aims at developing useful tools for industry to better predict the settlement of embankment built on soft soils. The intended outcomes can help to increase the safety level of road transportation system of Australia, reduce construction and maintenance costs.

在软土上修建的道路路基的沉降可能需要很多年，这给道路设计和施工带来了额外的挑战。尽管在太平洋公路升级方面有多年的经验，但行业合作伙伴已经看到了许多例子，在施工期间和公路开通后，费用的支付超过了预期。 这会导致潜在的延迟交付项目、积水、潜在的滑水和意外的维护。本项目旨在为工业界开发有用的工具，以更好地预测软土地基上路堤的沉降。预期成果有助于提高澳大利亚道路交通系统的安全水平，降低建设和维护成本。