IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i8p6787-d1125846.html
   My bibliography  Save this article

Vulnus Web: A Web-Based Procedure for the Seismic Vulnerability Assessment of Masonry Buildings

Author

Listed:
  • Maria Rosa Valluzzi

    (Department of Cultural Heritage, University of Padova, Piazza Capitaniato 7, 35139 Padova, Italy)

  • Veronica Follador

    (Department of Geosciensces, University of Padova, via Gradenigo 6, 35131 Padova, Italy)

  • Luca Sbrogiò

    (Department of Cultural Heritage, University of Padova, Piazza Capitaniato 7, 35139 Padova, Italy)

Abstract

Masonry is a widespread construction system, but it is very prone to seismic damage. In Italy, almost 60% of residential buildings are constructed in masonry, and 85% of them were built before 1980 without specific design regulation; thus, there is the need for large-scale vulnerability assessment. When large stocks of residential buildings (>50–100) are involved, also in historical centers, seismic vulnerability analysis must resort to simplified and computer-aided methods. Among these, the best known analyze (i) the overall shear strength normalized to the weight; (ii) the activation coefficient of local mechanisms; and (iii) dimensionless indexes obtained from the weighted sum of scores associated with a set of vulnerability factors. The Vulnus procedure proposes a vulnerability function in the 3D space defined by these factors, namely V IP , V OP and V V . The ‘mechanical’ indexes V IP and V OP determine the capacity of the building (in-plane and out-of-plane, respectively), whereas the ‘empirical’ index V V sets the pace at which this capacity is reached and the uncertainty in its final value. The procedure considers the confidence level of the indexes by means of fuzzy set theory, which enables expression of the vulnerability in linguistic terms (e.g., ‘high’ or ‘low’), as well as through a fragility curve. In this paper, a web toolbox based on the Vulnus procedure, namely, Vulnus Web, is proposed. It enables the central archiving of data, improved interaction with the program code and a wider dissemination. The new procedure was applied to a masonry building hit by the Central Italy 2016 earthquake; both the vulnerability level assessed numerically and the damage prediction were in good accordance with the actual seismic performance of the building.

Suggested Citation

  • Maria Rosa Valluzzi & Veronica Follador & Luca Sbrogiò, 2023. "Vulnus Web: A Web-Based Procedure for the Seismic Vulnerability Assessment of Masonry Buildings," Sustainability, MDPI, vol. 15(8), pages 1-30, April.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:6787-:d:1125846
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/8/6787/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/8/6787/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    2. Luca Sbrogiò & Ylenia Saretta & Francesco Molinari & Maria Rosa Valluzzi, 2022. "Multilevel Assessment of Seismic Damage and Vulnerability of Masonry Buildings (MUSE-DV) in Historical Centers: Development of a Mobile Android Application," Sustainability, MDPI, vol. 14(12), pages 1-29, June.
    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. 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.

    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:15:y:2023:i:8:p:6787-:d:1125846. 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.