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Data-driven preventive maintenance framework for reinforced concrete bridge slabs

发布时间:2025-07-18    浏览次数:


报告题目:Data-driven preventive maintenance framework for reinforced concrete bridge slabs
报 告 人:Takahashi Yuya
主 请 人:王诏 邓朋儒
时  间:2025年7月27日(周日)下午13:30-15:00
地  点:中南大学天心校区高铁中心1号楼102会议室

报告简介

To realize the preventive maintenance of road bridges, specifically, on reinforced concrete (RC) slab girder, we are proposing appropriate maintenance management measures for various structures. The quick evaluations of bridge fatigue deterioration risks are achieved by automatically acquiring the necessary input information from public databases using machine learning and other methods. Furthermore, we developed various input–output data conversion technologies to expand this framework into a method using nonlinear finite element analysis. With parametric modeling technology, it is possible to rapidly create a full-scale model of a bridge and set the appropriate load and environmental conditions. This advancement has reduced the time required for each bridge examination from several months to only a few days. A digital twin can be realized, allowing for an instant assessment of the current status of an RC slab based on essential observation data and physical models, while also evaluating the costs and risks of various scenarios based on future predictions to inform maintenance and management policies.

为实现桥梁,尤其是钢筋混凝土(RC)板梁桥的预防性养护管理,报告人提出了一套针对多类结构的维护管理对策。通过运用机器学习等技术手段,从公共数据库中自动获取所需的输入信息,实现了桥梁疲劳劣化风险的快速评估。此外,为将该评估体系扩展至基于非线性有限元分析的方法,构建了多种输入输出数据转换技术。借助参数化建模技术,可迅速建立桥梁的全尺度模型,并设置合理的荷载与环境条件,使单座桥梁的分析周期从以往的数月缩短至数日。基于此框架,可实现桥梁结构的数字孪生系统:结合关键观测数据与物理模型,可即时评估RC板梁的当前状态,并基于未来情境预测,量化不同养护策略下的成本与风险,为桥梁的科学养护与管理提供有力支撑。

报告人简介

Dr Yuya Takahashi is an Associate Professor at Concrete Laboratory of Department of Civil Engineering at The University of Tokyo. He received his PhD in 2013 from The University of Tokyo. His main field of research is on Durability mechanics of structural concrete suffered from chemical deteriorations and Maintenance system for concrete.

高桥佑弥(Yuya Takahashi)博士(工学),现为东京大学工学系研究科社会基盘学专攻混凝土实验室准教授,2013年获东京大学工学博士学位。长期从事结构混凝土耐久性劣化机理、数字孪生建模与维护管理系统的研究,聚焦于碱-骨料反应(ASR)、化学膨胀、钢筋腐蚀等引发的混凝土结构劣化过程的多尺度耦合建模与预测。近年来主持日本学术振兴会(JSPS)科研项目、“挑战性研究”计划等国家级课题11项,代表项目包括“基于多孔体力学的化学劣化混凝土结构性能定量预测”“数字孪生基础设施平台构建及其在桥梁疲劳评估中的应用”等。发表学术论文60余篇,发表于《Cement and Concrete Composites》《Materials and Structures》《Structure and Infrastructure Engineering》等国际权威期刊。曾获日本文部科学大臣表彰·若手科学者奖(2024)、日本道路会议优秀论文奖等共21项国内外奖项。