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BIM-GIS-DCEs enabled vulnerability assessment of interdependent infrastructures - A case of stormwater drainage-building-road transport Nexus in urban flooding

机译:BIM-GIS-DCES启用了相互依存基础设施的漏洞评估 - 以城市洪水在城市洪水中的雨水排水 - 建筑路交通案例

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摘要

Infrastructure systems are encountering unprecedented challenges as a result of climate change. Identifying infrastructure vulnerabilities before hazards strike is of paramount significance as it can help minimize the adverse consequences. However, investigating the vulnerability of single infrastructure system is myopic as it neglects the interdependencies between networked infrastructure systems. Owners and operators of different infrastructure systems should collaborate to identify infrastructure vulnerabilities against various hazard types from a system-of-systems standpoint. Nonetheless, systematic high-resolution vulnerability assessment of interdependent infrastructure systems requires versatile data and computational resources. While it is cost intensive and resourceful to develop a gigantic software for assessing infrastructure vulnerability, it is possible to synchronize available toolkits like building information modeling (BIM), geographic information system (GIS) and domain-specific computational engines (DCEs) to perform interdisciplinary infrastructure vulnerability assessment. This paper proposes an integrated BIM-GIS-DCEs approach to facilitate system-of-systems-based infrastructure vulnerability assessment. The proposed approach consists of the following key components: (i) Building information elicitation from BIM model, (ii) Physics-based pre- and post-hazard infrastructure performance simulation using DCEs, and (iii) Data integration and geospatial analysis for decision making on GIS platform. In the proposed approach, BIM provides hazard-sensitive properties of building elements, and DCEs serve to simulate the infrastructure performance before and after hazard occurs based on the predetermined physics-based operating regimes. Essentially, GIS stores the data from heterogeneous sources and mediates the semantic mapping between the simulation tools of distinct infrastructure domains. The embedded geospatial analysis functions in GIS facilitate the investigation of hazard-vulnerable components within an infrastructure system and also the expected hazard impacts at the community scale. The validity of the integrated approach is demonstrated using the stormwater drainage-building-road transport nexus during urban flooding. The integration of BIM, GIS and DCEs constitutes a new modeling paradigm which is expected to provide an effective avenue to formalize the collaborative effort between different infrastructure stakeholders not to mention about its ability to intelligently generate reliable and high-resolution vulnerability assessment results.
机译:由于气候变化,基础设施系统遇到前所未有的挑战。在危险袭击之前识别基础设施漏洞是最重要的重要性,因为它可以帮助最小化不良后果。但是,调查单一基础设施系统的脆弱性是近视,因为它忽略了网络基础设施系统之间的相互依赖性。不同基础设施系统的所有者和运营商应协作,以识别来自系统系统的各种危险类型的基础设施漏洞。尽管如此,相互依存基础设施系统的系统高分辨率漏洞评估需要多功能数据和计算资源。虽然开发用于评估基础架构漏洞的巨大软件是成本密集和有限的,但是可以同步可用的工具包,如建筑信息建模(BIM),地理信息系统(GIS)和域特定的计算引擎(DCE)来执行跨学科基础架构漏洞评估。本文提出了一种集成的BIM-GIS-DES方法,以促进基于系统的基础设施漏洞评估。所提出的方法包括以下关键组成部分:(i)从BIM模型的建立信息诱导,(ii)基于物理的基础和后期危险后的基础设施性能模拟,(iii)决策的数据集成和地理空间分析在GIS平台上。在所提出的方法中,BIM提供了建筑元素的危害敏感性,并且DCES用于在基于预定的基于物理的操作系统发生危险之前和之后模拟基础设施性能。基本上,GIS存储来自异构来源的数据,并在不同基础设施域的仿真工具之间调解语义映射。 GIS中的嵌入式地理空间分析功能有助于调查基础设施系统内的危险弱势组成部分,以及社区规模的预期危害影响。在城市洪水期间,使用雨水排水 - 建筑公路运输Nexus来证明综合方法的有效性。 BIM,GIS和DCE的整合构成了一个新的建模范式,预计将提供一个有效的途径,以便将不同基础设施利益相关者之间的协作工作正式化,更不用说智能地产生可靠和高分辨率脆弱性评估结果的能力。

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