A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Zeitlich und räumlich aufgelöste Zustandsbewertungen und -prognosen über mit Diagnosedaten angereicherte BIM-Modelle als Entscheidungshilfe bei der Instandsetzungsplanung
Temporally and spatially resolved condition assessments and prognoses via BIM models enriched with diagnostic data can be used as a decision support tool for maintenance planning. The assessment of the actual condition of existing buildings can be implemented in a BIM environment and interoperably linked with rules and regulationsas well as software for point cloud evaluations and Bayesian statistics. BIM-based deterioration models can automatically adapt or take into account mathematical relationships and influencing variables so that new possibilities arise in the modeling of durability-relevant processes for combined actions or variable boundary conditions and component states. In this way, a predictive BIM model is created that can serve as a four-dimensional decision support system for maintenance. By implementing building diagnosis data, a BIM model can be used as a digital building book. Thus, information can be collected centrally in digital form and preserved open to interfaces. The automation of data evaluation in a spatial context enables new observations and analyses of larger data sets or correlations between the different measuredvariables. The model-centered way of working in a BIM environment enables the component-specific analysis and comparison of determined actual conditions with boundary conditions and requirements according to current regulations. This makes it possible to shift the focus of work from data management to data evaluation and visualization, as well as significant savings in the need for action, thus contributing to the conservation of resources. Digitized ways of working lead to transparency, objectivity, and efficiency while planning repair measures. As a result, BIM is opened up for use in the context of building maintenance.
Zeitlich und räumlich aufgelöste Zustandsbewertungen und -prognosen über mit Diagnosedaten angereicherte BIM-Modelle als Entscheidungshilfe bei der Instandsetzungsplanung
Temporally and spatially resolved condition assessments and prognoses via BIM models enriched with diagnostic data can be used as a decision support tool for maintenance planning. The assessment of the actual condition of existing buildings can be implemented in a BIM environment and interoperably linked with rules and regulationsas well as software for point cloud evaluations and Bayesian statistics. BIM-based deterioration models can automatically adapt or take into account mathematical relationships and influencing variables so that new possibilities arise in the modeling of durability-relevant processes for combined actions or variable boundary conditions and component states. In this way, a predictive BIM model is created that can serve as a four-dimensional decision support system for maintenance. By implementing building diagnosis data, a BIM model can be used as a digital building book. Thus, information can be collected centrally in digital form and preserved open to interfaces. The automation of data evaluation in a spatial context enables new observations and analyses of larger data sets or correlations between the different measuredvariables. The model-centered way of working in a BIM environment enables the component-specific analysis and comparison of determined actual conditions with boundary conditions and requirements according to current regulations. This makes it possible to shift the focus of work from data management to data evaluation and visualization, as well as significant savings in the need for action, thus contributing to the conservation of resources. Digitized ways of working lead to transparency, objectivity, and efficiency while planning repair measures. As a result, BIM is opened up for use in the context of building maintenance.
Zeitlich und räumlich aufgelöste Zustandsbewertungen und -prognosen über mit Diagnosedaten angereicherte BIM-Modelle als Entscheidungshilfe bei der Instandsetzungsplanung
Temporally and spatially resolved condition assessments and prognoses via BIM models enriched with diagnostic data as a decision support system in repair planning
Morgenstern, Hendrik Willi Lars (author) / Raupach, Michael (tutor) / Dehn, Frank (tutor)
2023-01-01
1 Online-Ressource : Illustrationen, Diagramme pages
Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2023; Aachen : RWTH Aachen University 1 Online-Ressource : Illustrationen, Diagramme (2023). = Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2023
Miscellaneous
Electronic Resource
German
Ein Erosionsmodell mit räumlich und zeitlich veränderlicher Rillenmorphologie
| UB Braunschweig | 1994