IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i2p456-d475483.html
   My bibliography  Save this article

Risk Analysis for Earthquake-Damaged Buildings Using Point Cloud and BIM Data: A Case Study of the Daeseong Apartment Complex in Pohang, South Korea

Author

Listed:
  • Eun Soo Park

    (Department of Architecture, Sahmyook University, Seoul 01795, Korea)

  • Hee Chang Seo

    (BIMFACTORY, Seoul 03081, Korea)

Abstract

Since 2016, the frequency and scale of earthquakes have been rapidly increasing in South Korea. In particular, the damage caused by the Gyeongju and Pohang earthquakes has attracted considerable attention since 2017, leading to changes in social insensitivity to safety and the perception of seismic damage to facilities. However, the current risk assessment technology for earthquake-damaged buildings is subjective and inaccurate, as it is based on visual inspection for a limited time. Accordingly, this study focuses on improving the method of analysis of disaster-damaged buildings. To this end, the study analyzes the risk factors of earthquake-damaged buildings by comparing point cloud data using 3D scanning technology with Building Information Modeling (BIM) spatial information, which is based on the existing design information. To apply this technology, existing design information was acquired through BIM modeling of the existing 2D design drawings of Building E in the Daeseong Apartment Complex (located in Heunghae-eup, Pohang City). This study is expected to contribute to improving the efficiency of measurement technology for earthquake-damaged buildings by analyzing old buildings’ BIM-based 3D modeling visualization information without drawing information, and thus improving the accuracy of seismic damage risk measurement by scanning point cloud data.

Suggested Citation

  • Eun Soo Park & Hee Chang Seo, 2021. "Risk Analysis for Earthquake-Damaged Buildings Using Point Cloud and BIM Data: A Case Study of the Daeseong Apartment Complex in Pohang, South Korea," Sustainability, MDPI, vol. 13(2), pages 1-13, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:456-:d:475483
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/2/456/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/2/456/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cristina Piselli & Jessica Romanelli & Matteo Di Grazia & Augusto Gavagni & Elisa Moretti & Andrea Nicolini & Franco Cotana & Francesco Strangis & Henk J. L. Witte & Anna Laura Pisello, 2020. "An Integrated HBIM Simulation Approach for Energy Retrofit of Historical Buildings Implemented in a Case Study of a Medieval Fortress in Italy," Energies, MDPI, vol. 13(10), pages 1-21, May.
    2. Eleftheriadis, Stathis & Mumovic, Dejan & Greening, Paul, 2017. "Life cycle energy efficiency in building structures: A review of current developments and future outlooks based on BIM capabilities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 811-825.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cristina Piselli & Alessio Guastaveglia & Jessica Romanelli & Franco Cotana & Anna Laura Pisello, 2020. "Facility Energy Management Application of HBIM for Historical Low-Carbon Communities: Design, Modelling and Operation Control of Geothermal Energy Retrofit in a Real Italian Case Study," Energies, MDPI, vol. 13(23), pages 1-18, December.
    2. Anita Naneva & Marcella Bonanomi & Alexander Hollberg & Guillaume Habert & Daniel Hall, 2020. "Integrated BIM-Based LCA for the Entire Building Process Using an Existing Structure for Cost Estimation in the Swiss Context," Sustainability, MDPI, vol. 12(9), pages 1-17, May.
    3. Flavio Rosa, 2020. "Building-Integrated Photovoltaics (BIPV) in Historical Buildings: Opportunities and Constraints," Energies, MDPI, vol. 13(14), pages 1-28, July.
    4. Hanan S.S. Ibrahim & Ahmed Z. Khan & Waqas Ahmed Mahar & Shady Attia & Yehya Serag, 2021. "Assessment of Passive Retrofitting Scenarios in Heritage Residential Buildings in Hot, Dry Climates," Energies, MDPI, vol. 14(11), pages 1-27, June.
    5. Cellura, Maurizio & Guarino, Francesco & Longo, Sonia & Mistretta, Marina, 2017. "Modeling the energy and environmental life cycle of buildings: A co-simulation approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 733-742.
    6. Mikhail Demianenko & Carlo Iapige De Gaetani, 2021. "A Procedure for Automating Energy Analyses in the BIM Context Exploiting Artificial Neural Networks and Transfer Learning Technique," Energies, MDPI, vol. 14(10), pages 1-18, May.
    7. Mina Kakouei & Monty Sutrisna & Eziaku Rasheed & Zhenan Feng, 2025. "Enhancing the Energy Performance of Historic Buildings Using Heritage Building Information Modelling: A Case Study," Sustainability, MDPI, vol. 17(14), pages 1-26, July.
    8. Najjar, Mohammad & Figueiredo, Karoline & Hammad, Ahmed W.A. & Haddad, Assed, 2019. "Integrated optimization with building information modeling and life cycle assessment for generating energy efficient buildings," Applied Energy, Elsevier, vol. 250(C), pages 1366-1382.
    9. Simone Forastiere & Cristina Piselli & Benedetta Pioppi & Carla Balocco & Fabio Sciurpi & Anna Laura Pisello, 2023. "Towards Achieving Zero Carbon Targets in Building Retrofits: A Multi-Parameter Building Information Modeling (BIM) Approach Applied to a Case Study of a Thermal Bath," Energies, MDPI, vol. 16(12), pages 1-23, June.
    10. Fanlei Meng & Yuxiang Pang & Yeqing Zhi, 2023. "Multicriteria Model for Determining the Best and Low-Cost Methods of Industrial Heritage Transformation and Utilization under Fuzzy Inputs," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    11. Sakdirat Kaewunruen & Shijie Peng & Olisa Phil-Ebosie, 2020. "Digital Twin Aided Sustainability and Vulnerability Audit for Subway Stations," Sustainability, MDPI, vol. 12(19), pages 1-17, September.
    12. Zhang, Wenhao & Li, Honglian & Wang, Mengli & Lv, Wen & Huang, Jin & Yang, Liu, 2024. "Enhancing typical Meteorological Year generation for diverse energy systems: A hybrid Sandia-machine learning approach," Renewable Energy, Elsevier, vol. 225(C).
    13. Cristina Cornaro & Gianluigi Bovesecchi & Filippo Calcerano & Letizia Martinelli & Elena Gigliarelli, 2023. "An HBIM Integrated Approach Using Non-Destructive Techniques (NDT) to Support Energy and Environmental Improvement of Built Heritage: The Case Study of Palazzo Maffei Borghese in Rome," Sustainability, MDPI, vol. 15(14), pages 1-36, July.
    14. Ingrid Bertin & Romain Mesnil & Jean-Marc Jaeger & Adélaïde Feraille & Robert Le Roy, 2020. "A BIM-Based Framework and Databank for Reusing Load-Bearing Structural Elements," Sustainability, MDPI, vol. 12(8), pages 1-24, April.
    15. Baoquan Cheng & Jingwei Li & Vivian W. Y. Tam & Ming Yang & Dong Chen, 2020. "A BIM-LCA Approach for Estimating the Greenhouse Gas Emissions of Large-Scale Public Buildings: A Case Study," Sustainability, MDPI, vol. 12(2), pages 1-15, January.
    16. José Pedro Carvalho & Fernanda Schmitd Villaschi & Luís Bragança, 2021. "Assessing Life Cycle Environmental and Economic Impacts of Building Construction Solutions with BIM," Sustainability, MDPI, vol. 13(16), pages 1-23, August.
    17. Kai Xue & Md. Uzzal Hossain & Meng Liu & Mingjun Ma & Yizhi Zhang & Mengqiang Hu & XiaoYi Chen & Guangyu Cao, 2021. "BIM Integrated LCA for Promoting Circular Economy towards Sustainable Construction: An Analytical Review," Sustainability, MDPI, vol. 13(3), pages 1-21, January.
    18. Tao Zhang & Qi Ding & Qinian Hu & Bin Liu & Weijun Gao & Dian Zhou & Hiroatsu Fukuda, 2020. "Towards Rural Revitalization Strategy for Housing in Gully Regions of the Loess Plateau: Environmental Considerations," Energies, MDPI, vol. 13(12), pages 1-27, June.
    19. Jinxia Wang & Yunfeng Tan & Lingling Zhan & Hongjun Yang & Xieling Li & Fang Gao & Siyuan Qiu, 2024. "Sustainable development of environmental protection talents training: Research on the behavior decision of government, university and enterprise under the background of evolutionary game," PLOS ONE, Public Library of Science, vol. 19(2), pages 1-26, February.
    20. Jungsik Choi & Sejin Lee, 2023. "A Suggestion of the Alternatives Evaluation Method through IFC-Based Building Energy Performance Analysis," Sustainability, MDPI, vol. 15(3), pages 1-14, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:456-:d:475483. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.