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Non-graphical data structure for the purpose of BIM-based Life Cycle Assessment: Methodology for the Czech environment

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F20%3APU138190" target="_blank" >RIV/00216305:26110/20:PU138190 - isvavai.cz</a>

  • Result on the web

    <a href="https://iopscience.iop.org/article/10.1088/1755-1315/609/1/012048" target="_blank" >https://iopscience.iop.org/article/10.1088/1755-1315/609/1/012048</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1088/1755-1315/609/1/012048" target="_blank" >10.1088/1755-1315/609/1/012048</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Non-graphical data structure for the purpose of BIM-based Life Cycle Assessment: Methodology for the Czech environment

  • Original language description

    The article deals with the data structure for the purpose of life cycle assessment of buildings using the Building Information Model (BIM), for implementation in the Czech construction industry. Construction industry produces a significant amount of waste while the capacity of landfills is being limited. Effective management of already used materials, that have the potential to be reused, can significantly help to decrease consumption and save natural resources. Life Cycle Assessment (LCA) is a method that can be used to demonstrate the suitability of proposed materials, structures, or buildings in terms of their whole life cycle and its environmental impact. For the LCA evaluation it is crucial to obtain life cycle inventory (LCI) input data, however, the structure of this data is not clearly defined for the Czech environment. The BIM includes, in addition to geometry, the information part applicable to this assessment. The aim of the article is to analyse previous approaches and to define a BIM data structure for LCI purposes of a particular material. The new methodology is based on standardization of non-graphic information model data structure, called SNIM, which was developed for the Czech construction industry. From the SNIM database, "mark-up syntaxes" has been taken over to further identify the data for LCI base structure purposes. The MatLab matrix solver was used to classify these data. Advantages of the proposed methodology have been demonstrated on the case study of monolithic concrete slab structure, in which three types of concrete were evaluated. The results indicated the percentage of impact categories for each concrete type. These results are useful for expanding the BIM model with new data necessary for further LCA calculations. BIM model, extended by LCA calculation, will lead to a reduction of natural resources extraction as well as positive impact on environment.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20701 - Environmental and geological engineering, geotechnics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    6th World Multidisciplinary Earth Sciences Symposium 7-11 September 2020, Prague, Czech Republic

  • ISBN

  • ISSN

    1755-1307

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    1-9

  • Publisher name

    IOP Publishing

  • Place of publication

    Prague

  • Event location

    Praha

  • Event date

    Sep 7, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article