Seismic Fragility Analysis of Frame Structures

Lin, Jeng-Hsiang

doi:10.1142/s0219455408002740

Cited by 16 publications

(10 citation statements)

References 4 publications

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“…Fragility curves were initially introduced and developed for conducting seismic risk assessments at nuclear power plants (Kennedy et al 1980;Kaplan et al 1983), and currently the majority of publications developing (or using) fragility curves are still in the area of seismic risk assessment. This includes studies by Basoz and Kiremidjian (1997), who developed fragility curves using observations of bridge damage following the Northridge earthquake that struck Los Angeles in 1994; Lin (2008), who developed fragility curves for frame structures exposed to seismic loads; and more generally Porter et al (2007). While fragility curves for insured assets such as housing stock have been developed for the insurance industry, for other hazards, including flooding and hurricanes [e.g., Ellingwood et al (2004) who developed fragility curves for lightweight wood frame structures exposed to hurricane winds] examples of vulnerability models for infrastructure systems are limited.…”

Section: Vulnerability and Fragility Curve Methodologies And Data Reqmentioning

confidence: 99%

Fragility Curves for Assessing the Resilience of Electricity Networks Constructed from an Extensive Fault Database

et al. 2018

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Robust infrastructure networks are vital to ensure community resilience; their failure leads to severe societal disruption and they have important postdisaster functions. However, as these networks consist of interconnected, but geographically-distributed, components, system resilience is difficult to assess. In this paper the authors propose the use of an extension to the catastrophe (CAT) risk modeling approach, which is primarily used to perform risk assessments of independent assets, to be adopted for these interdependent systems. To help to achieve this, fragility curves, a crucial element of CAT models, are developed for overhead electrical lines using an empirical approach to ascribe likely failures due to wind storm hazard. To generate empirical fragility curves for electrical overhead lines, a dataset of over 12,000 electrical failures is coupled to a European reanalysis (ERA) wind storm model, ERA-Interim. The authors consider how the spatial resolution of the electrical fault data affects these curves, generating a fragility curve with low resolution fault data with a R 2 value of 0.9271 and improving this to a R 2 value of 0.9889 using higher spatial resolution data. Recommendations for deriving similar fragility curves for other infrastructure systems and/or hazards using the same methodological approach are also made. The authors argue that the developed fragility curves are applicable to other regions with similar electrical infrastructure and wind speeds, although some additional calibration may be required.

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Section: Vulnerability and Fragility Curve Methodologies And Data Reqmentioning

confidence: 99%

Fragility Curves for Assessing the Resilience of Electricity Networks Constructed from an Extensive Fault Database

et al. 2018

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“…A key ingredient of seismic risk assessment is the structural fragility curves. Methods for constructing fragility curves include empirical statistical methods (Sucuoglu et al , 1999; Shinozuka et al , 2000b; Murao and Yamazaki, 1999), capacity‐demand spectrum methods (ATC, 1996; FEMA, 1999; Shinozuka et al , 2000a), and non‐linear dynamic methods (Seya et al , 1993; Choi et al , 2004; Lin, 2008). A fragility assessment describes the performance of the structure as a whole with respect to some limit state of performance, measured in terms of deformation.…”

Section: Methodsmentioning

confidence: 99%

Exceedance probability of extensive damage limit for general buildings in Taiwan

Lin

2012

Disaster Prevention and Management: An International Journal

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Purpose -The purpose of this paper is to examine the effectiveness of building codes in earthquake risk mitigation in Taiwan. Design/methodology/approach -Using probabilistic risk analysis tools with available data, this study assesses the exceedance probability of extensive damage limit for general buildings in their 50-year useful lives. The buildings were classified into 15 categories according to their construction materials and building height. Then, the effects of construction materials, building height and construction years are detected. Findings -The exceedance probabilities of extensive damage limit for all of the investigated buildings in their 50-year useful lives are on the order of 10 À2 . The effect of construction materials and building height on seismic risk of buildings is decreasing with the development of a seismic design code. Significant discrepancy of seismic risk still exists among some buildings. Research limitations/implications -Seismic risk analysis requires quite restrictive statistical idealizations for the relevant probabilistic terms in the mathematical formulation. The problem of imperfect simplification and lack of sufficient empirical data has shown the research needs for improvements of seismic risk assessment. The questions of what constitutes acceptable risk for various performance levels and how safe is safe enough remain context-specific. Originality/value -Although probabilistic risk analysis provides a tool for quantifying the probability of structural failure, current earthquake-resistant design procedures do not relate performance levels to probability. The paper explores some probability information for current earthquake-resistant design for general buildings during their 50-year useful lives and the information may provide some valuable information for future code calibration. IntroductionModern disaster management is based on four major areas -preparation, response, recovery, and mitigation. With the massive global urbanization the problem of earthquake risk is likely to increase rather than decrease. Recently, there has been an increasing interest in seismic risk mitigation and risk assessment. Some research works (Amendola et al.Pitilakis et al., 2006) have been conducted on above subjects and valuable results have been obtained.During past decades, structural failures in earthquakes have exposed the weakness of current design procedures and shown the need for new concepts and methodologies for building performance evaluation and design. Recent developments in earthquake engineering indicate that seismic risk analysis has been performed increasingly to ensure risk management in accordance with building codes, and to provide an insight

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“…Many studies [9]- [13] have concluded that the interstory drift is the critical parameter that is best correlated with damage in buildings. FEMA-273 [14] relates interstory drifts to the following performance levels: Operational (O), Immediate Occupancy (IO), Life Safety (LS) and Collapse Prevention (CP).…”

Section: Performance Levelsmentioning

confidence: 99%

Probability-Based Seismic Performance Evaluation for Buildings

Lin¹

2016

WJET

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Recent developments in earthquake engineering indicate that probabilistic seismic risk analysis (PSRA) is becoming increasingly useful for the evaluation of structural performance in accordance with building codes. In recent years, the field of seismic resistance design has been undergoing a critical shift in focus from strength to performance. However, current earthquake resistant design procedures do not relate building performance to probability. A lack of sufficient empirical data has highlighted gaps in this research. This study integrated results from the analysis of structural fragility and seismic hazard in Taiwan to perform PSRA to examine the effectiveness of building code in mitigating the risks associated with earthquakes. Factors taken into account included the effect of construction materials, building height, and building age. The results of this study show that the probability of exceeding damage associated with the CP level in buildings of light steel, precast concrete, and masonry, exceeds 2%. These buildings fail to meet the performance objectives outlined in FEMA-273.

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Seismic Fragility Analysis of Frame Structures

Cited by 16 publications

References 4 publications

Fragility Curves for Assessing the Resilience of Electricity Networks Constructed from an Extensive Fault Database

Fragility Curves for Assessing the Resilience of Electricity Networks Constructed from an Extensive Fault Database

Exceedance probability of extensive damage limit for general buildings in Taiwan

Probability-Based Seismic Performance Evaluation for Buildings

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