气候变化领域集成服务门户(CCPortal): Digital Twins for Managing Railway Bridge Maintenance, Resilience, and Climate Change Adaptation

CCPortal

DOI	10.3390/s23010252
	Digital Twins for Managing Railway Bridge Maintenance, Resilience, and Climate Change Adaptation
	Kaewunruen, Sakdirat; AbdelHadi, Mohannad; Kongpuang, Manwika; Pansuk, Withit; Remennikov, Alex M.
发表日期	2023
EISSN	1424-8220
卷号	23 期号:1
英文摘要	Innovative digital twins (DTs) that allow engineers to visualise, share information, and monitor the condition during operation is necessary to optimise railway construction and maintenance. Building Information Modelling (BIM) is an approach for creating and managing an inventive 3D model simulating digital information that is useful to project management, monitoring and operation of a specific asset during the whole life cycle assessment (LCA). BIM application can help to provide an efficient cost management and time schedule and reduce the project delivery time throughout the whole life cycle of the project. In this study, an innovative DT has been developed using BIM integration through a life cycle analysis. Minnamurra Railway Bridge (MRB), Australia, has been chosen as a real-world use case to demonstrate the extended application of BIM (i.e., the DT) to enhance the operation, maintenance and asset management to improve the sustainability and resilience of the railway bridge. Moreover, the DT has been exploited to determine GHG emissions and cost consumption through the integration of BIM. This study demonstrates the feasibility of DT technology for railway maintenance and resilience optimisation. It also generates a virtual collaboration for co-simulations and co-creation of values across stakeholders participating in construction, operation and maintenance, and enhancing a reduction in costs and GHG emission.
英文关键词	digital twin; railway maintenance; asset management; sustainability; BIM; life cycle; circular economy; materials stock flow; resilience; climate change adaptation
语种	英语
WOS研究方向	Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS类目	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000909670200001
来源期刊	SENSORS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/281277
作者单位	University of Birmingham; Prince of Songkla University; Chulalongkorn University; University of Wollongong
推荐引用方式 GB/T 7714	Kaewunruen, Sakdirat,AbdelHadi, Mohannad,Kongpuang, Manwika,et al. Digital Twins for Managing Railway Bridge Maintenance, Resilience, and Climate Change Adaptation[J],2023,23(1).
APA	Kaewunruen, Sakdirat,AbdelHadi, Mohannad,Kongpuang, Manwika,Pansuk, Withit,&Remennikov, Alex M..(2023).Digital Twins for Managing Railway Bridge Maintenance, Resilience, and Climate Change Adaptation.SENSORS,23(1).
MLA	Kaewunruen, Sakdirat,et al."Digital Twins for Managing Railway Bridge Maintenance, Resilience, and Climate Change Adaptation".SENSORS 23.1(2023).