Derive empirical fragility functions for Nepali residential buildings

Gautam, Dipendra; Fabbrocino, Giovanni; Magistris, Filippo Santucci de

doi:10.1016/j.engstruct.2018.06.018

Cited by 73 publications

(48 citation statements)

References 22 publications

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“…Vulnerability matrix based on mean seismic index is established according to Table 3 and Formula (10), such as Formulas (11) and (12). Where is the damage ratio of BFSWMS in the state of damage level , when the seismic intensity CSIS= ; is mean seismic damage index as BFSWMS, when subjected to CSIS= , ( =6, 7,8,9,10,11…”

Section: Mean Damage Index (Mdi)mentioning

confidence: 99%

“…Detailed maps of vulnerability distribution were established considering construction period, number of stories, material type and structural system factors , respectively. Gautam et al [7] combined with the seismic damage data of residential buildings in Nepali Bihar earthquake in 1934, Chainpur earthquake in 1980, Eastern earthquake in 2011 and Gorkha earthquake in 2015, the fragility curves under multiple seismic damage levels were given in literature [3][4][5][6][7]. The vulnerability matrices and curves considering multiple factors were established based on the seismic damage database of several typical violent earthquakes in the world.…”

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confidence: 99%

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Empirical Seismic Vulnerability and Damage of Bottom Frame Seismic Wall Masonry Structure: A Case Study in Dujiangyan (China) Region

Jia

2019

IJE

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A B S T R A C TIn order to understand the seismic performance and mechanism of bottom frame seismic wall masonry structure (BFSWMS) and its vulnerability in empirical seismic damage, based on the statistical and numerical analysis of the field seismic damage observation data of 2178 Dujiangyan structures in the Wenchuan great earthquake urban of China on May 12, 2008, a non-linear function model between the seismic grade and the number of field damage samples is established, and the regression curve is given. The empirical seismic vulnerability matrices in multiple intensity regions are established, and the regression model functions of each intensity region and the vulnerability curves based on seismic damage grade and exceeding probability are obtained, respectively. A vulnerability matrix model with mean damage index (MDI) as its parameter is proposed, and the empirical vulnerability matrix is embedded in it. The vulnerability matrix based on this parameter and the regression curve of MDI in Dujiangyan city are derived. The above research results can provide the necessary practical reference for the vulnerability study of BFSWMS and the seismic code of China.

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Section: Mean Damage Index (Mdi)mentioning

confidence: 99%

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confidence: 99%

Empirical Seismic Vulnerability and Damage of Bottom Frame Seismic Wall Masonry Structure: A Case Study in Dujiangyan (China) Region

Jia

2019

IJE

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“…the statistical analysis of vulnerability in the multiple intensity regions of the ms is established considering the mean damage index factor of the wenchuan earthquake [9]. Based on the survey data of the typical buildings damaged in several violent earthquakes worldwide, the vulnerability damage matrix considering the earthquake ground motion parameters is obtained by statistical analysis [10][11][12][13][14][15][16].…”

Section: @Qqcommentioning

confidence: 99%

Comparative Analysis of the Empirical Seismic Vulnerability of Typical Structures in Multiple Intensity Zones

Chen

2019

Archives of Civil Engineering

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To study the difference in seismic vulnerability of multiple typical structures in multiple intensity zones, the seismic damage of 7099 buildings of Dujiangyan masonry structure (MS), reinforced concrete structure (RC) and bottom frame seismic wall masonry (BFM) in the 2008 Wenchuan earthquake in China is summarized and analysed. First, a statistical analysis of the data is carried out, the empirical seismic vulnerability matrix and model curves are established by considering the number of storeys, the age and the fortification factors.The vulnerability curves of the cumulative exceeding probability of the empirical seismic damage and the grade of the seismic damage in multiple intensity zones are shown. The mean damage index vulnerability matrix model is proposed and verified using the empirical seismic damage matrix of typical structures.

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“…Recently, extensive earthquake damage data are used to generate fragility curves [19][20][21][22][23][24][25]. Postearthquake surveys of approximately 340000 reinforced concrete structures were used to derive fragility curves for a European seismic risk assessment scenario [19].…”

Section: Introductionmentioning

confidence: 99%

“…e observed damage to 9500 of low-rise residential buildings from earthquakes in South Iceland was studied by typological fragility curves [21]. Moreover, fragility curves were developed from millions of data on the basis of 665,515 building damage cases by earthquake in Nepal [22,23]. In Italy, the postearthquake damage surveys of approximately 90,000 buildings in order to derive fragility curves were considered [24,25].…”

Section: Introductionmentioning

confidence: 99%

Development of Empirical Fragility Curves in Earthquake Engineering considering Nonspecific Damage Information

Kim

2018

Advances in Civil Engineering

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As a function of fragility curves in earthquake engineering, the assessment of the probability of exceeding a specific damage state according to the magnitude of earthquake can be considered. Considering that the damage states for fragility curves are generally nested to each other, the possibility theory, a special form of the evidence theory for nested intervals, is applied to generate fragility information from seismic damage data. While the lognormal distributions are conventionally used to generate fragility curves due to their simplicity and applicability, the methodology to use the possibility theory does not require the assumption of distributions. Seismic damage data classified by four damage levels were used for a case study. The resulted possibility-based fragility information expressed by two monotone measures, “possibility” and “certainty,” are compared with the conventional fragility curves based on probability. The results showed that the conventional fragility curves provide a conservative estimation at the relatively high earthquake magnitude compared with the possibility-based fragility information.

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Derive empirical fragility functions for Nepali residential buildings

Cited by 73 publications

References 22 publications

Empirical Seismic Vulnerability and Damage of Bottom Frame Seismic Wall Masonry Structure: A Case Study in Dujiangyan (China) Region

Empirical Seismic Vulnerability and Damage of Bottom Frame Seismic Wall Masonry Structure: A Case Study in Dujiangyan (China) Region

Comparative Analysis of the Empirical Seismic Vulnerability of Typical Structures in Multiple Intensity Zones

Development of Empirical Fragility Curves in Earthquake Engineering considering Nonspecific Damage Information

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