A Method for Selecting Ground Motions that Considers Target Response Spectrum Mean and Variance as Well as Correlation Structure

Ha, Seong Jin; Han, Sang Whan

doi:10.1080/13632469.2016.1138162

Cited by 20 publications

(8 citation statements)

References 18 publications

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“…Note that the correlation of S a across periods can also be directly accounted for in ground motion selection by, for example, following the approach as proposed in Ha and Han. 59 As shown in Figure 9B, the resulting structural collapse fragilities computed using the reselected ground motion sets do not show any significant differences between the simulated and recorded sets. The agreement extends across other EDPs (story drifts and peak floor accelerations) as shown by hypothesis testing at all intensities.…”

Section: Effect Of S a Correlations On Collapse Responsementioning

confidence: 78%

“…As shown in Figure (and comparing Figures A and A), the correlations of the reselected simulated ground motion sets provide a closer match to those of the NGA ground motions. Note that the correlation of S a across periods can also be directly accounted for in ground motion selection by, for example, following the approach as proposed in Ha and Han . As shown in Figure B, the resulting structural collapse fragilities computed using the reselected ground motion sets do not show any significant differences between the simulated and recorded sets.…”

Section: Effect Of Correlations Of Sa Values Across Periods On Structmentioning

confidence: 99%

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Validation of the SCEC Broadband Platform simulations for tall building risk assessments considering spectral shape and duration of the ground motion

Bijelić

Lin

Deierlein

2018

Earthq Engng Struct Dyn

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Summary Earthquake simulation technologies are advancing to the stage of enabling realistic simulations of past earthquakes as well as characterizations of more extreme events, thus holding promise of yielding novel insights and data for earthquake engineering. With the goal of developing confidence in the engineering applications of simulated ground motions, this paper focuses on validation of simulations for response history analysis through comparative assessments of building performance obtained using sets of recorded and simulated motions. Simulated ground motions of past earthquakes, obtained through a larger validation study of the Southern California Earthquake Center Broadband Platform, are used for the case study. Two tall buildings, a 20‐story concrete frame and a 42‐story concrete core wall building, are analyzed under comparable sets of simulated and recorded motions at increasing levels of ground motion intensity, up to structural collapse, to check for statistically significant differences between the responses to simulated and recorded motions. Spectral shape and significant duration are explicitly considered when selecting ground motions. Considered demands include story drift ratios, floor accelerations, and collapse response. These comparisons not only yield similar results in most cases but also reveal instances where certain simulated ground motions can result in biased responses. The source of bias is traced to differences in correlations of spectral values in some of the stochastic ground motion simulations. When the differences in correlations are removed, simulated and recorded motions yield comparable results. This study highlights the utility of physics‐based simulations, and particularly the Southern California Earthquake Center Broadband Platform as a useful tool for engineering applications.

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Section: Effect Of S a Correlations On Collapse Responsementioning

confidence: 78%

Section: Effect Of Correlations Of Sa Values Across Periods On Structmentioning

confidence: 99%

Validation of the SCEC Broadband Platform simulations for tall building risk assessments considering spectral shape and duration of the ground motion

Bijelić

Lin

Deierlein

2018

Earthq Engng Struct Dyn

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“…To overcome the ambiguity of choosing a scalar conditioning intensity measure IM, the need for amplitude scaling the GMs to the above IM and the potential bias in seismic demand estimate and the need for several sets of GMs to derive the seismic demand hazard curve (SDHC) an alternative method has been proposed by Kwong et al [28] leading to a single set of unscaled GMs. Furthermore, recent studies [29][30][31] consider matching more than one selection objectives, which are the target response spectrum mean and variance as well as the correlation structure. This is achieved by using an objective function that is the weighted sum of the individual objective functions.…”

Section: Introductionmentioning

confidence: 99%

Selection of earthquake ground motions for multiple objectives using genetic algorithms

Mergos

Sextos

2019

Engineering Structures

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Existing earthquake ground motion (GM) selection methods for the seismic assessment of structural systems focus on spectral compatibility in terms of either only central values or both central values and variability. In this way, important selection criteria related to the seismology of the region, local soil conditions, strong GM intensity and duration as well as the magnitude of scale factors are considered only indirectly by setting them as constraints in the pre-processing phase in the form of permissible ranges. In this study, a novel framework for the optimum selection of earthquake GMs is presented, where the aforementioned criteria are treated explicitly as selection objectives. The framework is based on the principles of multi-objective optimization that is addressed with the aid of the Weighted Sum Method, which supports decision making both in the preprocessing and post-processing phase of the GM selection procedure. The solution of the derived equivalent single-objective optimization problem is performed by the application of a mixed-integer Genetic Algorithm and the effects of its parameters on the efficiency of the selection procedure are investigated. Application of the proposed framework shows that it is able to track GM sets that not only provide excellent spectral matching but they are also able to simultaneously consider more explicitly a set of additional criteria.

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“…Recently, this algorithm has been updated to improve both the computational performance and the statistical properties of the records selected . This simulation‐based approach has also been efficiently used for ground motion selection with respect to spectral accelerations in other studies …”

Section: Introductionmentioning

confidence: 99%

“…23 This simulation-based approach has also been efficiently used for ground motion selection with respect to spectral accelerations in other studies. 24,25 Because defining response spectral targets for record selection only explicitly considers amplitude and frequency content, other record characteristics like duration or cumulative measures such as energy content may not be fully represented. 26 However, these nonspectral attributes of ground motions have been observed to influence the structural response in a number of cases.…”

Section: Introductionmentioning

confidence: 99%

Markov chain Monte Carlo ground‐motion selection algorithms for conditional intensity measure targets

Yuan

Stafford

2018

Earthq Engng Struct Dyn

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Summary Two new algorithms are presented for efficiently selecting suites of ground motions that match a target multivariate distribution or conditional intensity measure target. The first algorithm is a Markov chain Monte Carlo (MCMC) approach in which records are sequentially added to a selected set such that the joint probability density function (PDF) of the target distribution is progressively approximated by the discrete distribution of the selected records. The second algorithm derives from the concept of the acceptance ratio within MCMC but does not involve any sampling. The first method takes advantage of MCMC's ability to efficiently explore a sampling distribution through the implementation of a traditional MCMC algorithm. This method is shown to enable very good matches to multivariate targets to be obtained when the numbers of records to be selected is relatively large. A weaker performance for fewer records can be circumvented by the second method that uses greedy optimisation to impose additional constraints upon properties of the target distribution. A preselection approach based upon values of the multivariate PDF is proposed that enables near‐optimal record sets to be identified with a very close match to the target. Both methods are applied for a number response analyses associated with different sizes of record sets and rupture scenarios. Comparisons are made throughout with the Generalised Conditional Intensity Measure (GCIM) approach. The first method provides similar results to GCIM but with slightly worse performance for small record sets, while the second method outperforms method 1 and GCIM for all considered cases.

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A Method for Selecting Ground Motions that Considers Target Response Spectrum Mean and Variance as Well as Correlation Structure

Cited by 20 publications

References 18 publications

Validation of the SCEC Broadband Platform simulations for tall building risk assessments considering spectral shape and duration of the ground motion

Validation of the SCEC Broadband Platform simulations for tall building risk assessments considering spectral shape and duration of the ground motion

Selection of earthquake ground motions for multiple objectives using genetic algorithms

Markov chain Monte Carlo ground‐motion selection algorithms for conditional intensity measure targets

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