Framework for the assessment of the existing building stock through BIM and GIS

Honic, Meliha; Ferschin, Peter; Breitfuss, Dominik; Cencic, Oliver; Gourlis, Georgios; Kovačić, Iva; Wolf, Catherine G.

doi:10.1016/j.dibe.2022.100110

Cited by 13 publications

(14 citation statements)

References 18 publications

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“…Future research will focus on the integration of data for automating the placement of windows and doors on the elevations, as well as for automatically defining the roof shapes of buildings. In addition, once the envelope of the building is geometrically defined, a similar approach to the one described by [8] will be followed to integrate with the parametric BIM model the qualitative information related to the materiality of the elements. To overcome the accuracy issues that are described by [8], a higher number of buildings in the same cohort will be examined.…”

Section: Discussion / Limitations and Future Researchmentioning

confidence: 99%

“…In addition, once the envelope of the building is geometrically defined, a similar approach to the one described by [8] will be followed to integrate with the parametric BIM model the qualitative information related to the materiality of the elements. To overcome the accuracy issues that are described by [8], a higher number of buildings in the same cohort will be examined.…”

Section: Discussion / Limitations and Future Researchmentioning

confidence: 99%

“…Those practices are focused on different strategies and tools that could support the calculation of material intensities of existing buildings on an urban scale, such as the definition and analysis of building typologies, and inference of material quantities from built volume/surface area among others. Another way to calculate and manage the existing building stock could be by using Building Information Models (BIM) [8].…”

Section: Importance Of Materials Stock Studies Towards Circularitymentioning

confidence: 99%

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A framework for semi-automated creation of Building Information Models for existing buildings

Triantafyllidis,

Huang

2023

J. Phys.: Conf. Ser.

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The environmental impact of the building sector can be significantly mitigated by reusing materials and components from the existing building stock. Building Information Modelling (BIM) methodology can serve as a potent tool for the documentation, management of existing buildings, and foster effective collaboration among different stakeholders in the value chain of the building sector. In addition, by providing information about the building’s structure, materials, and systems, BIM enables more informed decision-making regarding potential renovations, retrofits, and repurposing. However, developing BIM models for existing buildings is a labour and time-intensive task. There is therefore the need to investigate possible ways to automate the data acquisition and the creation of BIM models. By using the extracted alphanumerical information from two databases in a BIM and Visual Programming Language environment, we develop a workflow that can read and transform this information, which is given as input, into a parametric BIM model. We then discuss the data availability and accessibility from those databases and what data requirements are still needed to achieve higher granularity for the BIM models. Finally, we develop a workflow, and we provide suggestions for further research and data integration. A shift into a circular economy model in the building sector could support reducing the environmental impact that the sector is causing. Developing BIM models by using a simpler method, could potentially facilitate informed decision-making for the reuse, recycling, and repurposing of building-materials and elements.

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Section: Discussion / Limitations and Future Researchmentioning

confidence: 99%

Section: Discussion / Limitations and Future Researchmentioning

confidence: 99%

Section: Importance Of Materials Stock Studies Towards Circularitymentioning

confidence: 99%

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A framework for semi-automated creation of Building Information Models for existing buildings

Triantafyllidis,

Huang

2023

J. Phys.: Conf. Ser.

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“…This technology has also been applied to earth-based construction projects [43] to enable better decision-making and coordination during the construction process. The development of digital platforms for urban mining [44] has enabled more efficient procurement, processing, and distribution of sustainable building materials. By cataloguing and mapping available resources, these platforms help construction professionals identify and make locally available materials accessible, reducing transportation costs and associated environmental impacts.…”

Section: Digitalization and Open Sourcementioning

confidence: 99%

Recyclable and Efficient Construction using Mineral Landfill Materials and Demolition Wastes

Bühler¹,

Hollenbach²,

Michalski³

et al. 2023

Preprint

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An inter- and transdisciplinary concept has been developed, focusing on the scaling of industrial circular construction using innovative compacted mineral mixtures (CMM) derived from various soil types (sand, silt, clay) and recycled mineral waste. The concept aims to accelerate the systemic transformation of the construction industry towards carbon neutrality by promoting the large-scale adoption and automation of CMM-based construction materials, which incorporate natural mineral components and recycled aggregates or industrial by-products. In close collaboration with international and domestic stakeholders in the construction sector, the concept explores the integration of various CMM-based construction methods for producing wall elements in conventional building construction. Leveraging a digital urban mining platform, the concept aims to standardize the production process and enable mass-scale production. The ultimate goal is to fully harness the potential of automated CMM-based wall elements as a fast, competitive, emission-free, and recyclable alternative to traditional masonry and concrete construction techniques. To achieve this objective, the concept draws upon the latest advances in soil mechanics, rheology, and automation and incorporates open-source digital platform technologies to enhance data accessibility, processing, and knowledge acquisition. This will bolster confidence in CMM-based technologies and facilitate their widespread adoption. The extraordinary transfer potential of this approach necessitates both basic and applied research. As such, the proposed transformative, inter- and transdisciplinary concept will be conducted and synthesized using a comprehensive, holistic, and transfer-oriented methodology.

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“…12 For instance, comprehensive building information modeling (BIM) requires precise 3D geometry 13 and semantically rich material information 14 for as-built BIM 15 in the construction phase and as-is BIM 16 in heritage protection 17 and circular construction. 18 The impact of surface roughness weakens accurate material information extraction from the reflectance spectrum. Conversely, surface roughness information of different building components is valuable for quality control in construction 10,19 and degradation assessment of construction materials.…”

Section: Introductionmentioning

confidence: 99%

Classification of material and surface roughness using polarimetric multispectral LiDAR

Han,

Salido-Monzú,

Wieser

2023

Opt. Eng.

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Framework for the assessment of the existing building stock through BIM and GIS

Cited by 13 publications

References 18 publications

A framework for semi-automated creation of Building Information Models for existing buildings

A framework for semi-automated creation of Building Information Models for existing buildings

Recyclable and Efficient Construction using Mineral Landfill Materials and Demolition Wastes

Classification of material and surface roughness using polarimetric multispectral LiDAR

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