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Volume 2
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Article

A Novel Approach for Maintenance and Repair of Reinforced Concrete Using Building Information Modeling with Integrated Machine-Readable Diagnosis Data

by
Hendrik Morgenstern
* and
Michael Raupach
Institute for Building Materials Research(ibac), RWTH Aachen University, 52062 Aachen, Germany
*
Author to whom correspondence should be addressed.
Constr. Mater. 2022, 2(4), 314-327; https://doi.org/10.3390/constrmater2040020
Submission received: 27 October 2022 / Revised: 9 December 2022 / Accepted: 13 December 2022 / Published: 16 December 2022
(This article belongs to the Special Issue Advances in Concrete Binders and Reinforced Concrete)
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Abstract

Building Information Modeling (BIM) is increasingly establishing a model-based work process in the construction industry. Though it can be considered the standard for the planning of new buildings, the use cases for existing buildings are still limited. Nonetheless, BIM models provide promising possibilities which are increasingly being researched in different fields of application. At the Institute for Building Materials Research (ibac) at RWTH Aachen University, a novel approach for maintenance and repair of reinforced concrete is being developed, using BIM models enriched with machine-readable diagnosis data. This paper proposes a digital workflow and highlights the added value for planning repair measures. Using BIM in maintenance and repair can accelerate the planning process and decrease the required material consumption for the execution.
Keywords: BIM; building diagnosis; corrosion; decision support tool; maintenance and repair; reinforced concrete; automation BIM; building diagnosis; corrosion; decision support tool; maintenance and repair; reinforced concrete; automation

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MDPI and ACS Style

Morgenstern, H.; Raupach, M. A Novel Approach for Maintenance and Repair of Reinforced Concrete Using Building Information Modeling with Integrated Machine-Readable Diagnosis Data. Constr. Mater. 2022, 2, 314-327. https://doi.org/10.3390/constrmater2040020

AMA Style

Morgenstern H, Raupach M. A Novel Approach for Maintenance and Repair of Reinforced Concrete Using Building Information Modeling with Integrated Machine-Readable Diagnosis Data. Construction Materials. 2022; 2(4):314-327. https://doi.org/10.3390/constrmater2040020

Chicago/Turabian Style

Morgenstern, Hendrik, and Michael Raupach. 2022. "A Novel Approach for Maintenance and Repair of Reinforced Concrete Using Building Information Modeling with Integrated Machine-Readable Diagnosis Data" Construction Materials 2, no. 4: 314-327. https://doi.org/10.3390/constrmater2040020

APA Style

Morgenstern, H., & Raupach, M. (2022). A Novel Approach for Maintenance and Repair of Reinforced Concrete Using Building Information Modeling with Integrated Machine-Readable Diagnosis Data. Construction Materials, 2(4), 314-327. https://doi.org/10.3390/constrmater2040020

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