Strategies for Maximising the Value of Digital Twins for Bridge Management and Structural Monitoring: A Systematic Review

IF 12.1 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Idilson A. Nhamage, Cláudio S. Horas, Ngoc-Son Dang, José António Campos e Matos, João Poças Martins
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Abstract

Building Information Modelling (BIM) extends its utility to infrastructure management during the operational phase and can evolve into a Digital Twin (DT) when coupled with specific technologies or systems. In Engineering, Construction, and Operations (EC&O), BIM and DTs are strongly interconnected research topics. Especially for bridges, this relationship is represented by Bridge Information Modelling (BrIM) and Bridge Digital Twin (BDT). However, while this connection is recognised, it lacks developments regarding modelling strategies or data flow and integration. Therefore, the purpose of this study is to conduct a review of the current state of BrIM as an extension of BIM and its relationship with BDT, encompassing strategies for creating BrIM models of existing bridge assets. Additionally, it will explore integrating technologies or systems for structural performance monitoring and management (SPMM) to form BDTs. A systematic review was conducted using PRISMA protocol. Of the 3459 articles that were initially retrieved from a query of academic databases, 152 were assessed and classified manually, and 128 of these were selected for full content review. Analysis of the selected articles demonstrated the growing value of BDTs in SPMM of bridges, evolving from BrIM. Along with release of IFC4.3, BrIM development initiatives include IFC entity extension, IFC property sets usage, ontology development, and OpenBrIM implementation. Point cloud approaches are the most prevalent among different as-is BrIM modelling techniques, while parametric and data-driven approaches are gaining traction. Key challenges to BDT adoption, with respect to technological integration include interoperability, real-time performance, model updates, cost, and skill gaps.

最大化数字孪生在桥梁管理和结构监测中的价值的策略:系统回顾
建筑信息模型(BIM)在运营阶段将其应用扩展到基础设施管理,当与特定技术或系统相结合时,可以演变为数字孪生(DT)。在工程、建设和运营(ec&o)中,BIM和DTs是密切相关的研究课题。特别是对于桥梁,这种关系由桥梁信息模型(BrIM)和桥梁数字孪生模型(BDT)来表示。然而,虽然认识到这种联系,但它缺乏关于建模策略或数据流和集成的发展。因此,本研究的目的是对BrIM作为BIM的延伸及其与BDT的关系的现状进行回顾,包括为现有桥梁资产创建BrIM模型的策略。此外,它将探索整合结构性能监测和管理(SPMM)的技术或系统,以形成bdt。采用PRISMA方案进行系统评价。在最初从学术数据库查询中检索到的3459篇文章中,152篇被人工评估和分类,其中128篇被选中进行完整的内容审查。本文的分析表明,bdt在桥梁SPMM中的价值越来越大,从BrIM演变而来。随着IFC4.3的发布,BrIM开发计划包括IFC实体扩展、IFC属性集使用、本体开发和OpenBrIM实现。点云方法在不同的现有BrIM建模技术中最为流行,而参数化和数据驱动的方法也越来越受欢迎。在技术集成方面,采用BDT面临的主要挑战包括互操作性、实时性能、模型更新、成本和技能差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
19.80
自引率
4.10%
发文量
153
审稿时长
>12 weeks
期刊介绍: Archives of Computational Methods in Engineering Aim and Scope: Archives of Computational Methods in Engineering serves as an active forum for disseminating research and advanced practices in computational engineering, particularly focusing on mechanics and related fields. The journal emphasizes extended state-of-the-art reviews in selected areas, a unique feature of its publication. Review Format: Reviews published in the journal offer: A survey of current literature Critical exposition of topics in their full complexity By organizing the information in this manner, readers can quickly grasp the focus, coverage, and unique features of the Archives of Computational Methods in Engineering.
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