A web‐based methodology for the prediction of approximate IDA curves

Peruš, Iztok; Klinc, Robert; Dolenc, M.R.; Dolšek, Matjaž

doi:10.1002/eqe.2192

Cited by 33 publications

(32 citation statements)

References 19 publications

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“…The collapse dispersion must address uncertainty involved in both demand (record-to-record) and capacity (modelling) with the former requiring a large number of time history simulations (e.g. IDA, Vamvatsikos and Cornell 2002) or reliable approximation (Perus et al 2013). The latter source of uncertainty is typically benchmarked through parametric studies (e.g.…”

Section: Life-safety and Probability Of Collapsementioning

confidence: 99%

A Seismic Performance Classification Framework to Provide Increased Seismic Resilience

Calvi

Sullivan

Welch

2014

Geotechnical, Geological and Earthquake Engineering

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Several performance measures are being used in modern seismic engineering applications, suggesting that seismic performance could be classified a number of ways. This paper reviews a range of performance measures currently being adopted and then proposes a new seismic performance classification framework based on expected annual losses (EAL). The motivation for an EAL-based performance framework stems from the observation that, in addition to limiting lives lost during earthquakes, changes are needed to improve the resilience of our societies, and it is proposed that increased resilience in developed countries could be achieved by limiting monetary losses. In order to set suitable preliminary values of EAL for performance classification, values of EAL reported in the literature are reviewed. Uncertainties in current EAL estimates are discussed and then an EAL-based seismic performance classification framework is proposed. The proposal is made that the EAL should be computed on a storey-by-storey basis in recognition that EAL for different storeys of a building could vary significantly and also recognizing that a single building may have multiple owners.A number of tools for the estimation of EAL are reviewed in this paper and the argument is made that simplified methods for the prediction of EAL are required as engineers transition to this new performance parameter. In order to illustrate the potential value of an EAL-based classification scheme, a three storey RC frame building is examined using a simplified displacement-based loss assessment procedure and performance classifications are made for three different retrofit options. The results show that even if only limited non-structural interventions are made to the case study, the EAL could be significantly reduced. It is also argued that overall,

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Section: Life-safety and Probability Of Collapsementioning

confidence: 99%

A Seismic Performance Classification Framework to Provide Increased Seismic Resilience

Calvi

Sullivan

Welch

2014

Geotechnical, Geological and Earthquake Engineering

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“…This methodology results in a web application (e.g. http://ice4risk.slo-projekt.info/wida/, Peruš et al 2013), which can be used within the N2 method in order to obtain a more accurate (compared to the standard procedure) record-specific estimate of the target displacement, as well as an estimate of the dispersion measures.…”

Section: Web Based Methodology For the Prediction Of Approximate Ida mentioning

confidence: 99%

Pushover-Based Analysis in Performance-Based Seismic Engineering – A View from Europe

Fajfar

Dolšek

2014

Performance-Based Seismic Engineering: Vision for an Earthquake Resilient Society

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In this chapter, it is claimed that pushover-based methods, although subject to several limitations, often represent a rational practice-oriented tool for the estimation of the seismic response of structures. It is shown that the relations between quantities controlling the seismic response can be easily understood if a pushover-based analysis is presented graphically in the acceleration -displacement (AD) format. One of the pushover-based methods, i.e., the N2 method, which is implemented in Eurocode 8, as well as its extensions, is very briefly summarized. Additionally, some recent pushover-based applications are listed. Finally, as an example of the application of pushover analysis, the seismic performance assessment of a multistorey building with consideration of aleatory and epistemic uncertainties is presented.

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“…It has been shown before that a quadrilinear base shearroof displacement relationship ( Figure 1) can be considered sufficiently accurate for the description of the pushover curves of reinforced concrete buildings [19]. It has been shown before that a quadrilinear base shearroof displacement relationship ( Figure 1) can be considered sufficiently accurate for the description of the pushover curves of reinforced concrete buildings [19].…”

Section: Pushover Analysis and The Idealization Of Pushover Curvesmentioning

confidence: 99%

“…[1,18,19]), which involve only the first vibration mode distribution of lateral forces (i = 1). [1,18,19]), which involve only the first vibration mode distribution of lateral forces (i = 1).…”

Section: Pushover Analysis and The Idealization Of Pushover Curvesmentioning

confidence: 99%

“…The approximate procedures for the determination of IDA curves involve pushover analysis or several pushover analyses using a structural model of entire building (the so-called multi-degreeof-freedom (MDOF) model) and 'exact' or approximate IDA of one or several equivalent SDOF models [16,17,19,24,25]. According to basic pushover-based methods, approximate IDA curves can be determined by defining the distribution of the invariant lateral forces for pushover analysis, performing the pushover analysis, defining the transformation [1] or modification factor [2], which relate the displacement of the equivalent SDOF model to the roof displacement of the structural model, defining the SDOF model and performing IDA for this model using a set of ground motion records.…”

Section: Introductionmentioning

confidence: 99%

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Envelope‐based pushover analysis procedure for the approximate seismic response analysis of buildings

Brozovič

Dolšek

2013

Earthq Engng Struct Dyn

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SUMMARY An envelope‐based pushover analysis procedure is presented that assumes that the seismic demand for each response parameter is controlled by a predominant system failure mode that may vary according to the ground motion. To be able to simulate the most important system failure modes, several pushover analyses need to be performed, as in a modal pushover analysis procedure, whereas the total seismic demand is determined by enveloping the results associated with each pushover analysis. The demand for the most common system failure mode resulting from the ‘first‐mode’ pushover analysis is obtained by response history analysis for the equivalent ‘modal‐based’ SDOF model, whereas demand for other failure modes is based on the ‘failure‐based’ SDOF models. This makes the envelope‐based pushover analysis procedure equivalent to the N2 method provided that it involves only ‘first‐mode’ pushover analysis and response history analysis of the corresponding ‘modal‐based’ SDOF model. It is shown that the accuracy of the approximate 16th, 50th and 84th percentile response expressed in terms of IDA curves does not decrease with the height of the building or with the intensity of ground motion. This is because the estimates of the roof displacement and the maximum storey drift due to individual ground motions were predicted with a sufficient degree of accuracy for almost all the ground motions from the analysed sets. Copyright © 2013 John Wiley & Sons, Ltd.

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A web‐based methodology for the prediction of approximate IDA curves

Cited by 33 publications

References 19 publications

A Seismic Performance Classification Framework to Provide Increased Seismic Resilience

A Seismic Performance Classification Framework to Provide Increased Seismic Resilience

Pushover-Based Analysis in Performance-Based Seismic Engineering – A View from Europe

Envelope‐based pushover analysis procedure for the approximate seismic response analysis of buildings

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