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

Bektaş, Nurullah; Kegyes-Brassai, Orsolya

doi:10.3390/su14052583

Cited by 24 publications

(16 citation statements)

References 108 publications

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“…[1] Initially, technical societies and governments used the methods for post-seismic revision. Subsequently, they have been used to optimize resources by inspecting large numbers of buildings, focusing them on the most vulnerable ones (8). Additionally, an advantage is that allows to evaluate of many buildings quickly and efficiently (1).…”

Section: Study Area Descriptionmentioning

confidence: 99%

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Corrosion Effects on the Seismic Vulnerability Index of Reinforced Concrete Scholar Buildings

Colorado¹,

Domínguez²,

Barradas-Hernández³

et al. 2023

ECS Trans.

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The Veracruz - Boca del Río metropolitan area in Mexico presents high temperatures and even high chloride ion concentrations, causing an aggressive environment with significant corrosion rates. Therefore, in reinforced concrete buildings in said area, their service life and integrity can compromise. Rapid Screening Methods (RSM) are used to determine their Seismic Vulnerability Index (SVI). The Benedetti-Petrini RSM can be used to determine the SVI of the corroded structures, adapting how the state of conservation is evaluated and weighted. To that end, the corrosion level and the crack width were correlated to estimate how their state of conservation can be deteriorated, reducing the service life. To test its usefulness, nine faculties, whose ages are close to 50 years, were analyzed, and the SVI of the original and modified methods were compared. Additionally, as expected, the buildings close to the coastline, and the faces exposed to wind direction, were the most damaged. The results indicate that the modified SVI provides rational decisions and improves the action management for each structure.

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Section: Study Area Descriptionmentioning

confidence: 99%

“…One of them is the Rapid Screening Method (RSM) which is considered the first level ( 5), (6), and (7). This method does not need specialized studies to estimate the state of the structure (8). The RSM is used for rapid decision-making such as the necessity of a level two or higher method that provides a more detailed and accurate SVI.…”

Section: Introductionmentioning

confidence: 99%

Corrosion Effects on the Seismic Vulnerability Index of Reinforced Concrete Scholar Buildings

Colorado¹,

Domínguez²,

Barradas-Hernández³

et al. 2023

ECS Trans.

View full text Add to dashboard Cite

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“…vation of Iran (SOSRI) [16], the SAARC Disaster Management Center (SDMC) [17], and churches [18][19][20][21]. In addition to the RVS methods established nationally or institutionally, there has been extensive research carried out on the development [22][23][24], implementation [25][26][27][28][29][30][31], enhancement [1,32,33], and review [34][35][36] of conventional RVS methods.…”

Section: Introductionmentioning

confidence: 99%

“…Because the parameters that each of these RVS methods takes into account vary and because they were developed based on site-specific building characteristics, it is difficult to compare these RVS methods [36]. Additionally, even though traditional RVS methods have undergone extensive research and are widely accepted, these techniques have demonstrated limited accuracy in terms of one-to-one building damage state classification [37].…”

Section: Introductionmentioning

confidence: 99%

Development of a Fuzzy Inference System Based Rapid Visual Screening Method for Seismic Assessment of Buildings Presented on a Case Study of URM Buildings

2022

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Many conventional rapid visual screening (RVS) methods for the seismic assessment of existing structures have been designed over the past three decades, tailored to site-specific building features. The objective of implementing RVS is to identify the buildings most susceptible to earthquake-induced damage. RVS methods are utilized to classify buildings according to their risk level to prioritize the buildings at high seismic risk. The conventional RVS methods are employed to determine the damage after an earthquake or to make safety assessments in order to predict the damage that may occur in a building before an impending earthquake. Due to the subjectivity of the screener based on visual examination, previous research has shown that these conventional methods can lead to vagueness and uncertainty. Additionally, because RVS methods were found to be conservative and to be partially accurate, as well as the fact that some expert opinion based developed RVS techniques do not have the capability of further enhancement, it was recommended that RVS methods be developed. Therefore, this paper discusses a fuzzy logic based RVS method development to produce an accurate building features responsive examination method for unreinforced masonry (URM) structures, as well as a way of revising existing RVS methods. In this context, RVS parameters are used in a fuzzy-inference system hierarchical computational pattern to develop the RVS method. The fuzzy inference system based RVS method was developed considering post-earthquake building screening data of 40 URM structures located in Albania following the earthquake in 2019 as a case study. In addition, FEMA P-154, a conventional RVS method, was employed to screen considered buildings to comparatively demonstrate the efficiency of the developed RVS method in this study. The findings of the study revealed that the proposed method with an accuracy of 67.5% strongly outperformed the conventional RVS method by 42.5%.

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“…Indeed, in the GIS environment, it is possible to manage, combine, and analyze geospatial databases about existing building stock and display general information and results about vulnerability assessment, damage, and loss estimation [49][50][51][52]. In addition, the possibility for enhancing the collection data procedure and subsequent seismic vulnerability and risk assessment on a large scale is based on the use of fuzzy logic [53][54][55], machine learning [46,56,57], and Artificial Neural Networks (ANNs) [58][59][60][61]. As a matter of fact, in recent years many proposals have been developed that are able to implement computer algorithms trained using post-earthquake data, implement buildings images and/or expert-opinion-based information to identify the fundamental input parameters, and calculate seismic vulnerability and risk indicators.…”

mentioning

confidence: 99%

GIS Multisource Data for the Seismic Vulnerability Assessment of Buildings at the Urban Scale

2022

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The paper presents a methodology of extraction, integration and elaboration of data from different sources using the geographic information system (GIS), to realize a georeferenced building database (GBD) useful for the seismic vulnerability assessment of existing buildings on a large scale. Three levels of GIS entities have been defined and equipped with the related information: census section (CS), urban block (UB), and individual building (IB), depending on the level of detail of dataset. Additional information about the typological and structural features has been extracted by CARTIS catalogue, to refine the data associated with each building. The data have been validated using detailed information gathered on a proper sample of buildings, which have been filed and analyzed one-by-one. The alphanumeric format of data allows for the automatic implementation of different methods available in the literature, which provide a qualitative seismic vulnerability index at different scales (whole urban district, an urban block, and a single building). Finally, the 3D representation of data and results have been elaborated, providing a tool easily searchable and constantly implementable. An application has been developed for a case study in Puglia, Italy: Bisceglie, for which 3726 IB have been assessed. The work addresses the issue of the lack of information typical of large-scale applications, exploiting all the available data sources to achieve nearly complete knowledge of existing building stock finalized to a rapid but extensive evaluation of the seismic vulnerability on an urban scale with very low computational efforts and the use of limited resources in terms of time and cost.

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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

Cited by 24 publications

References 108 publications

Corrosion Effects on the Seismic Vulnerability Index of Reinforced Concrete Scholar Buildings

Corrosion Effects on the Seismic Vulnerability Index of Reinforced Concrete Scholar Buildings

Development of a Fuzzy Inference System Based Rapid Visual Screening Method for Seismic Assessment of Buildings Presented on a Case Study of URM Buildings

GIS Multisource Data for the Seismic Vulnerability Assessment of Buildings at the Urban Scale

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