Development of a method for resource-efficient structural maintenance of reinforced concrete buildings based on digital BIM models

CRC Press eBooks, pp. 3712–3719

Abstract

In the Federal Republic of Germany, around 70% of all construction work in the area of building construction is carried out on existing buildings. This large amount emphasises the need to consider the lifecycle-oriented maintenance management of buildings. Using digital methods and technologies, the existing, mostly manual processes can be optimized and automated. In addition, there is a need to integrate sustainability aspects into the decision-making process for maintenance tasks. In this technical article, a holistic method for resource-efficient building maintenance is developed by using the Building-Information-Modeling (BIM) method in combination with the integration of sustainability aspects. Thereby, methods of laser scanning are combined with the BIM method, digital maintenance and AR technology, resulting in a partially automated and interoperable workflow. In the first step, the status quo of digital maintenance at reinforced concrete structures is analyzed in a literature review. The following step is to define the process-related and data-technical fundamentals. Based on this, data acquisition is carried out using laser scanning methods and modern diagnostic procedures as well as partially automated data processing to create a refined BIM model. A digital model with integrated diagnostic data is developed from the recorded data and a comparison of different maintenance scenarios is carried out using intelligent algorithms in the context of costs, time and CO 2 emissions. For further transparent use of the digital as-built model in operational maintenance management, the model is embedded in an augmented reality environment and a common data environment. The process steps are validated using a real demonstrator at the end. The result of the article shows a partially automated process chain and decision support for resource-efficient maintenance management of reinforced concrete structures.

Authors 5

1. Jan‐Iwo Jäkel Aachen Institute for Construction Management

   RWTH Aachen University

   Affiliation as printed

   Institute for Construction Management , Digital Engineering and Robotics in Construction (ICoM) , RWTH Aachen University , Aachen , Germany

   Institute for Construction Management, Digital Engineering and Robotics in Construction (ICoM), RWTH Aachen University, Aachen, Germany

2. Linus Kloesgen Aachen Institute for Construction Management

   RWTH Aachen University

   Affiliation as printed

   Institute for Construction Management , Digital Engineering and Robotics in Construction (ICoM) , RWTH Aachen University , Aachen , Germany

   Institute for Construction Management, Digital Engineering and Robotics in Construction (ICoM), RWTH Aachen University, Aachen, Germany

3. Thomas W. Koenig Aachen Institute for Construction Management

   RWTH Aachen University

   Affiliation as printed

   Institute for Construction Management , Digital Engineering and Robotics in Construction (ICoM) , RWTH Aachen University , Aachen , Germany

   Institute for Construction Management, Digital Engineering and Robotics in Construction (ICoM), RWTH Aachen University, Aachen, Germany

4. Katharina Klemt‐Albert Aachen Institute for Construction Management

   RWTH Aachen University

   Affiliation as printed

   Institute for Construction Management , Digital Engineering and Robotics in Construction (ICoM) , RWTH Aachen University , Aachen , Germany

   Institute for Construction Management, Digital Engineering and Robotics in Construction (ICoM), RWTH Aachen University, Aachen, Germany

5. Michael Raupach Aachen Institute for Building Materials Research (ibac)

   RWTH Aachen University

   Affiliation as printed

   Institute for Building Materials Research (ibac) , RWTH Aachen University , Aachen , Germany

   Institute for Building Materials Research (ibac), RWTH Aachen University, Aachen, Germany