Abstract:As part of the PEER Center's tall building initiative (TBI) project, practicing engineers designed three structural systems, each based on commonly used codes and guidelines in addition to the guidelines developed by PEER. The designs were analyzed by three research teams, using a set of 75 ground-motion pairs, to predict response parameters for evaluating the performance of tall buildings. This study focuses on analytically estimating the seismic losses to these buildings to assess their relative seismic perf… Show more
“…The components have been grouped into drift and acceleration-sensitive components in order to relate the component performances and repair costs to the selected EDPs. The repair costs of each category have been normalized by median replacement costs (1192.27 €/m 2 ) for the L'Aquila RC buildings (Di Ludovico et al 2017b), as commonly found in the available literature (Agha Beigi et al 2015, Ramirez et al 2012, Shome et al 2015).…”
Section: Pbee Analysis Of the Case Studiesmentioning
Recent seismic events are a unique opportunity to monitor and collect details of direct repair costs and the downtimes associated with massive reconstruction processes. This paper focuses on the actual repair costs of five RC buildings damaged by the 2009 L'Aquila earthquake. The repair costs for structural and nonstructural components that experienced different types of earthquake damage are discussed and then used as a benchmark for the predictions. The comparison at both the building and component levels revealed that the FEMA P-58 methodology is suitable, in general, for application to different types of building stock. Ad hoc upgrades to the FEMA fragility database for components that are typical of the Mediterranean area are required. When implementing the proposed modifications, a reasonable level of consistency is achieved in terms of actual and predicted repair costs (differences in the range of 30–48%). A discussion on the actual repair costs and the main differences with the predicted costs for infills and partitions, structural subassemblies, floor finishes, and other acceleration-sensitive nonstructural components is provided, along with suggestions for further improving.
“…The components have been grouped into drift and acceleration-sensitive components in order to relate the component performances and repair costs to the selected EDPs. The repair costs of each category have been normalized by median replacement costs (1192.27 €/m 2 ) for the L'Aquila RC buildings (Di Ludovico et al 2017b), as commonly found in the available literature (Agha Beigi et al 2015, Ramirez et al 2012, Shome et al 2015).…”
Section: Pbee Analysis Of the Case Studiesmentioning
Recent seismic events are a unique opportunity to monitor and collect details of direct repair costs and the downtimes associated with massive reconstruction processes. This paper focuses on the actual repair costs of five RC buildings damaged by the 2009 L'Aquila earthquake. The repair costs for structural and nonstructural components that experienced different types of earthquake damage are discussed and then used as a benchmark for the predictions. The comparison at both the building and component levels revealed that the FEMA P-58 methodology is suitable, in general, for application to different types of building stock. Ad hoc upgrades to the FEMA fragility database for components that are typical of the Mediterranean area are required. When implementing the proposed modifications, a reasonable level of consistency is achieved in terms of actual and predicted repair costs (differences in the range of 30–48%). A discussion on the actual repair costs and the main differences with the predicted costs for infills and partitions, structural subassemblies, floor finishes, and other acceleration-sensitive nonstructural components is provided, along with suggestions for further improving.
“…25. It is known that the relative contribution of S and NS repair costs to the total repair cost varies significantly with the seismic intensity level (Shome et al 2015). The repair cost at lower intensities is dominated by NS damage, whereas the same for the S damage becomes significant at higher intensities.…”
Section: Fig24 Random Effects In Loss Resultsmentioning
confidence: 99%
“…PEER methodology is also adopted by the ATC-58 (2011), and uses a Monte Carlo simulation procedure to quantify the performance of different structural facilities. Shome et al (2015) performed loss estimation of tall buildings designed for the PEER Tall Building Initative Project (PEER TBI, 2017). Based on the dollar results, the performance of the dual-system building is compared with the other buildings systems considered in TBI study.…”
In this paper probabilistic seismic loss assessment of RC high rise-buildings for seismic excitation typical for Southern Euro-Mediterranean zone is presented. The loss assessment methodology developed in paper is based on a comprehensive simulation approach which takes into account ground motion (GM) uncertainty, the random effects in seismic demand as well as in predicting the damage states (DSs). The methodology is implemented on three RC high-rise buildings of 20-story, 30-story and 40-story with core wall structural system designed according to Eurocode 8. The loss functions described by a cumulative lognormal probability distribution are obtained for two intensity level for a large set of simulations (non-linear time-history analyses) based on 60 GM records with wide range of magnitudes, distance to source and different site soil conditions. The losses expressed in percent of building replacement cost for RC high-rise buildings are obtained. In the estimation of losses, both structural (S) and non-structural (NS) damage for four DSs are considered. The effect of different GM characteristics (magnitude, distance to source and site soil condition) on the obtained losses are investigated. It is checked if the estimated performance of the RC high-rise buildings fulfill limit state requirements according to Eurocode 8.
“…Large numbers of variables and their uncertainty as well as their correlations with each other that are briefed in the above paragraph would make the numerical integration of probabilistic loss inconvenient. To this end, Shome et al (2015) propose a Monte Carlo-based simulation approach to compute the exceedance probability of loss for tall buildings by populating the conditional random variables described in the above distributions.…”
The lack of empirical data regarding earthquake damage or losses has propelled the development of dozens of analytical methodologies for the derivation of fragility and vulnerability functions. Each method will naturally have its strengths and weaknesses, which will consequently affect the associated risk estimates. With the purpose of sharing knowledge on vulnerability modeling, identifying shortcomings in the existing methods, and recommending improvements to the current practice, a group of vulnerability experts met in Pavia (Italy) in April 2017. Critical topics related to the selection of ground motion records, modeling of complex real structures through simplified approaches, propagation of aleatory and epistemic uncertainties, and validation of vulnerability results were discussed, and suggestions were proposed to improve the reliability and accuracy in vulnerability modeling.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.