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Conventional RVS Methods for Seismic Risk Assessment for Estimating the Current Situation of Existing Buildings: A State-of-the-Art Review

Author

Listed:
  • Nurullah Bektaş

    (Department of Structural Engineering and Geotechnics, Széchenyi István University, 9026 Győr, Hungary)

  • Orsolya Kegyes-Brassai

    (Department of Structural Engineering and Geotechnics, Széchenyi István University, 9026 Győr, Hungary)

Abstract

Developments in the field of earthquake engineering over the past few decades have contributed to the development of new methods for evaluating the risk levels in buildings. These research methods are rapid visual screening (RVS), seismic risk indexes, and vulnerability assessments, which have been developed to assess the levels of damage in a building or its structural components. RVS methods have been proposed for the rapid pre- and/or post-earthquake screening of existing large building stock in earthquake-prone areas on the basis of sidewalk surveys. The site seismicity, the soil type, the building type, and the corresponding building characteristic features are to be separately examined, and the vulnerability level of each building can be identified by employing the RVS methods. This study describes, evaluates, and compares the findings of previous investigations that utilized conventional RVS methods within a framework. It also suggests the methods to be used for specific goals and proposes prospective enhancement strategies. Furthermore, the article discusses the time-consuming RVS methods (such as FEMA 154, which requires from 15 to 30 min, while NRCC requires one hour), and provides an overview of the application areas of the methods (pre-earthquake: FEMA 154, NRCC, NZEE, etc.; postearthquake: GNDT, EMS, etc.). This review of the traditional RVS methods offers a comprehensive guide and reference for field practitioners (e.g., engineers, architects), and recommends enhancement techniques (e.g., machine learning, fuzzy logic) for researchers to be used in future improvements.

Suggested Citation

  • Nurullah Bektaş & Orsolya Kegyes-Brassai, 2022. "Conventional RVS Methods for Seismic Risk Assessment for Estimating the Current Situation of Existing Buildings: A State-of-the-Art Review," Sustainability, MDPI, vol. 14(5), pages 1-40, February.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:2583-:d:756714
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    References listed on IDEAS

    as
    1. Yeudy F. Vargas-Alzate & Nieves Lantada & Ramón González-Drigo & Luis G. Pujades, 2020. "Seismic Risk Assessment Using Stochastic Nonlinear Models," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    2. Ahmad Mohamad El-Maissi & Sotirios A. Argyroudis & Fadzli Mohamed Nazri, 2020. "Seismic Vulnerability Assessment Methodologies for Roadway Assets and Networks: A State-of-the-Art Review," Sustainability, MDPI, vol. 13(1), pages 1-31, December.
    3. S. Rajarathnam & A. Santhakumar, 2015. "Assessment of seismic building vulnerability based on rapid visual screening technique aided by aerial photographs on a GIS platform," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(2), pages 779-802, September.
    4. N. Alam & M. Alam & S. Tesfamariam, 2012. "Buildings’ seismic vulnerability assessment methods: a comparative study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(2), pages 405-424, June.
    5. Seif-eddine Cherif & Mimoun Chourak & Mohamed Abed & Luis Pujades, 2017. "Seismic risk in the city of Al Hoceima (north of Morocco) using the vulnerability index method, applied in Risk-UE project," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(1), pages 329-347, January.
    6. Sreerama Ajay Kumar & Chenna Rajaram & Shashank Mishra & Ramancharla Pradeep Kumar & Anoop Karnath, 2017. "Rapid visual screening of different housing typologies in Himachal Pradesh, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(3), pages 1851-1875, February.
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    1. Nurullah Bektaş & Ferenc Lilik & Orsolya Kegyes-Brassai, 2022. "Development of a Fuzzy Inference System Based Rapid Visual Screening Method for Seismic Assessment of Buildings Presented on a Case Study of URM Buildings," Sustainability, MDPI, vol. 14(23), pages 1-27, December.

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