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State of the art in damage information modeling for RC bridges – A literature review

  • In Germany, bridges have an average age of 40 years. A bridge consumes between 0.4% and 2% of its construction cost per year over its entire life cycle. This means that up to 80% of the construction cost are additionally needed for operation, inspection, maintenance, and destruction. Current practices rely either on paperbased inspections or on abstract specialist software. Every application inIn Germany, bridges have an average age of 40 years. A bridge consumes between 0.4% and 2% of its construction cost per year over its entire life cycle. This means that up to 80% of the construction cost are additionally needed for operation, inspection, maintenance, and destruction. Current practices rely either on paperbased inspections or on abstract specialist software. Every application in the inspection and maintenance sector uses its own data model for structures, inspections, defects, and maintenance. Due to this, data and properties have to be transferred manually, otherwise a converter is necessary for every data exchange between two applications. To overcome this issue, an adequate model standard for inspections, damage, and maintenance is necessary. Modern 3D models may serve as a single source of truth, which has been suggested in the Building Information Modeling (BIM) concept. Further, these models offer a clear visualization of the built infrastructure, and improve not only the planning and construction phases, but also the operation phase of construction projects. BIM is established mostly in the Architecture, Engineering, and Construction (AEC) sector to plan and construct new buildings. Currently, BIM does not cover the whole life cycle of a building, especially not inspection and maintenance. Creating damage models needs the building model first, because a defect is dependent on the building component, its properties and material. Hence, a building information model is necessary to obtain meaningful conclusions from damage information. This paper analyzes the requirements, which arise from practice, and the research that has been done in modeling damage and related information for bridges. With a look at damage categories and use cases related to inspection and maintenance, scientific literature is discussed and synthesized. Finally, research gaps and needs are identified and discussed.show moreshow less

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Metadaten
Document Type:Article
Author: Mathias ArtusORCiDGND, Prof. Dr.-Ing. Christian KochORCiDGND
DOI (Cite-Link):https://doi.org/10.1016/j.aei.2020.101171Cite-Link
URN (Cite-Link):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20220506-46390Cite-Link
URL:https://www.sciencedirect.com/science/article/abs/pii/S1474034620301427?via%3Dihub
Parent Title (German):Advanced Engineering Informatics
Publisher:Elsevier Science
Place of publication:Amsterdam
Language:German
Date of Publication (online):2022/11/01
Date of first Publication:2020/10/01
Release Date:2022/05/06
Publishing Institution:Bauhaus-Universität Weimar
Institutes and partner institutions:Fakultät Bauingenieurwesen / Professur Intelligentes Technisches Design
Volume:2020
Issue:volume 46, article 101171
Pagenumber:16
First Page:1
Last Page:16
GND Keyword:Building Information Modeling; Brücke; Inspektion; Literaturrecherche; Datenmodell
Dewey Decimal Classification:600 Technik, Medizin, angewandte Wissenschaften / 620 Ingenieurwissenschaften / 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
BKL-Classification:56 Bauwesen / 56.47 Gebäudeunterhaltung, Gebäudesanierung, Bauschäden
Licence (German):License Logo Creative Commons 4.0 - Namensnennung-Nicht kommerziell-Keine Bearbeitung (CC BY-NC-ND 4.0)