道路、桥梁和民用基础设施的数字孪生展望

Filippo Sanfilippo, R. T. Thorstensen, A. Jha, Zhiyu Jiang, K. Robbersmyr
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引用次数: 1

摘要

与实物资产相对应的数字模型或孪生模型被认为是数字孪生模型。数字孪生正在成为交通基础设施最重要的技术趋势之一,因为它们有可能提高资产的可靠性和性能。由于它们提供有关道路基础设施状况及其相关风险的当前信息,因此数字孪生可以被视为基础设施决策的基础。数字孪生为土木工程师提供了在整个生命周期内可视化资产的能力,以跟踪变化并执行分析,优化资产性能。本文的目的是为桥梁和道路基础设施的数字孪生设计、原型制作和测试提供一个新的视角。所使用的方法考虑了为道路基础设施开发数字孪生模型的潜力,考虑了地层分析、表面状况监测和桥梁结构分析。我们力求促进全球努力,以实现对基础设施和设施的有效维护和管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Perspective Review on Digital Twins for Roads, Bridges, and Civil Infrastructures
A digital model that is the counterpart - or twin - of a physical asset is considered a digital twin. Digital twins are becoming one of the most important technology trends for transportation infrastructure because of their potential to increase asset reliability and performance. As they offer current information about the status of the road infrastructure and the risks connected to it, digital twins can be seen as the foundation of infrastructure decision-making. Digital twins provide civil engineers with the ability to visualise assets across their entire life cycle to track changes and to perform analysis that optimises asset performance. The aim of this paper is to present a novel perspective for designing, prototyping and testing digital twins of bridges and road infrastructure. The methodology used takes into account the potential for developing a digital twin for the road infrastructure, taking into account stratigraphic analysis, surface condition monitoring, and bridges structural analysis. We seek to stimulate global efforts towards the achievement of efficient maintenance and management of infrastructures and facilities.
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