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Digital Bridge Schwindegg: Ab initio bridge monitoring for a sustainable lifecycle management

 Digital Bridge Schwindegg: Ab initio bridge monitoring for a sustainable lifecycle management
Author(s): ,
Presented at IABSE Congress: Engineering for Sustainable Development, New Delhi, India, 20-22 September 2023, published in , pp. 817-824
DOI: 10.2749/newdelhi.2023.0817
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Bridges worldwide are facing challenges of aging, increasing traffic, and heavier vehicles, for which they were not originally designed. Lack of funds and skilled labour to strengthen and maintain ...
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Bibliographic Details

Author(s): (University of the Bundeswehr Munich, Department of Civil Engineering and Environmental Sciences, Institute for Structural Engineering, Neubiberg 85577, Germany)
(University of the Bundeswehr Munich, Department of Civil Engineering and Environmental Sciences, Institute for Structural Engineering, Neubiberg 85577, Germany)
Medium: conference paper
Language(s): English
Conference: IABSE Congress: Engineering for Sustainable Development, New Delhi, India, 20-22 September 2023
Published in:
Page(s): 817-824 Total no. of pages: 8
Page(s): 817-824
Total no. of pages: 8
DOI: 10.2749/newdelhi.2023.0817
Abstract:

Bridges worldwide are facing challenges of aging, increasing traffic, and heavier vehicles, for which they were not originally designed. Lack of funds and skilled labour to strengthen and maintain existing structures have further intensified the need for bridge rehabilitation. Intelligent lifecycle management is proposed as a countermeasure to these problems. Many are researching the conceptual design of digital twins, exploring their potential, and investigating implementation approaches. Building Information Modelling platforms and other databases have been developed for this purpose. We demonstrate the Digital Bridge in Schwindegg (Germany) as an Industry 4.0 based prototype to monitor new bridges from opening to traffic. This paper presents the conceptual design of this unique monitoring project, and the intelligent data collection in the asset administration shell BBox. The objective is to achieve sustainable life cycle management of bridges through the creation of Digital Twins with extended lifetimes beyond the typical 50-100 years.

Keywords:
bridge construction structural health monitoring sensors Digital twin data model Lifecycle management Degradation of Bridges