Correlation of Spectral Acceleration Values from NGA Ground Motion Models

Baker, Jack W.; Jayaram, Nirmal

doi:10.1193/1.2857544

Cited by 427 publications

(375 citation statements)

References 10 publications

Supporting

Mentioning

358

Contrasting

Unclassified

Order By: Relevance

“…The single target spectral pseudo-acceleration based IMs, S a ðT SDOF Þ and S a ðT PD SDOF Þ, fulfill this property since attenuation relationships that describe the probability distribution of spectral pseudo-accelerations at single target periods are widely available. Seismic hazard analysis for the averaged IMs S a,gm can also be applied based on correlation equations between spectral accelerations at multiple periods derived by Baker and Jayaram (2008).…”

Section: Evaluated Intensity Measuresmentioning

confidence: 99%

Intensity measures that reduce collapse capacity dispersion of P-delta vulnerable simple systems

Tsantaki

Adam

Ibarra

2016

Bull Earthquake Eng

View full text Add to dashboard Cite

The study evaluates two alternative seismic intensity measures (IMs) that reduce the collapse capacity dispersion of inelastic non-degrading single-degree-of-freedom (SDOF) systems vulnerable to the P-delta effect. This dispersion of collapse capacity is caused by record-to-record variability, which refers to frequency content variation of the ground motions used in the dynamic analyses. This reduction (of dispersion) is achieved utilizing efficient elastic pseudo-spectral acceleration based IMs. The first set of evaluated IMs is based on the spectral pseudo-acceleration averaged in a certain period interval between the structural period and an elongated period. The ''optimal'' lower bound of the period interval corresponds to the structural period of vibration, since naturally in an SDOF system no higher modes effects do exist. The ''optimal'' upper bound of the period interval for averaging, referred to as elongated period, is found to be 1.6 times the system period. The second IM considered in the study is the 5 % damped spectral pseudo-acceleration at the system period in the presence of gravity loads, which is a single target IM. The most widely accepted IM, the 5 % damped pseudo-spectral acceleration at the system period without P-delta, serves as the benchmark IM. The results show that both proposed IMs lead to a reduction of the collapse capacity dispersion compared to the benchmark IM outcomes. The IM based on the averaged spectral acceleration of the ''optimal'' period interval is more efficient up to a negative post-yield stiffness ratio of 0.45, while the single target IM based on the system period in the presence of gravity loads is superior for extreme negative post-yield stiffness ratios larger than 0.45. Additionally, the sufficiency and the scaling robustness property of the considered IMs with respect to the natural logarithm of the record-dependent individual collapse capacities is discussed for a wide range of structural configurations.

show abstract

Section: Evaluated Intensity Measuresmentioning

confidence: 99%

Intensity measures that reduce collapse capacity dispersion of P-delta vulnerable simple systems

Tsantaki

Adam

Ibarra

2016

Bull Earthquake Eng

View full text Add to dashboard Cite

show abstract

“…[e.g. 35,36]. In contrast, for simulation-based SHA, neither empirical GMPEs or correlation equations are required because the statistical properties of the appropriate ground motion simulations for !!…”

Section: Methods 4: Gcim-based Selectionmentioning

confidence: 99%

Ground motion selection for simulation‐based seismic hazard and structural reliability assessment

Bradley

Burks

Baker

2015

Earthq Engng Struct Dyn

Self Cite

View full text Add to dashboard Cite

This paper examines four methods by which ground motions can be selected for dynamic seismic response analyses of engineered systems when the underlying seismic hazard is quantified via ground motion simulation rather than empirical ground motion prediction equations. Even with simulation-based seismic hazard, a ground motion selection process is still required in order to extract a small number of time series from the much larger set developed as part of the hazard calculation. Four specific methods are presented for ground motion selection from simulation-based seismic hazard analyses, and pros and cons of each are discussed via a simple and reproducible illustrative example. One of the four methods (method 1 'direct analysis') provides a 'benchmark' result (i.e. using all simulated ground motions), enabling the consistency of the other three more efficient selection methods to be addressed. Method 2 ('stratified sampling') is a relatively simple way to achieve a significant reduction in the number of ground motions required through selecting subsets of ground motions binned based on an intensity measure, IM. Method 3 ('simple multiple stripes') has the benefit of being consistent with conventional seismic assessment practice using as-recorded ground motions, but both methods 2 and 3 are strongly dependent on the efficiency of the conditioning IM to predict the seismic responses of interest. Method 4 ('GCIM-based selection') is consistent with 'advanced' selection methods used for as-recorded ground motions, and selects subsets of ground motions based on multiple IMs, thus overcoming this limitation in methods 2 and 3.

show abstract

“…where " Sa(1:5T 1 ) and " Sa are the target values of " Sa(1:5T1) and " Sa , respectively; " Sa ;" Sa(1:5T 1 ) is the correlation between " Sa and " Sa(1:5T1) , which can be obtained using the relationship proposed by Baker and Jayaram [33] for calculating the correlation of spectral accelerations. To determine target " PGV , the empirical equation proposed by Mousavi et al [12] can be used.…”

Section: Target Value For Smentioning

confidence: 99%

Reliable seismic collapse assessment of short-period structures using new proxies for ground motion record selection

2017

View full text Add to dashboard Cite

Abstract. One of the important steps in seismic collapse assessment of structures, using nonlinear dynamic analyses, is the appropriate selection of ground motion records. Epsilon (" Sa ), eta (), and gamma ( ) for long-period structures are proxies recently proposed for Ground Motion Record Selection (GMRS). In this study, two parameters, named s , are proposed, which have considerable correlation with the collapse capacity of shortperiod structures having fundamental period less than 1 sec. One of these parameters is a linear combination of "Sa, epsilon of Pseudo Spectral Acceleration (PSA) at 1.5 times of the fundamental period of the structure (" Sa(1:5T 1 ) ), and " PGV . The other one is a linear combination of "Sa, " Sa(1:5T 1 ) and epsilon of spectrum intensity, "SI. To obtain and optimize s , the Particle Swarm Optimization (PSO) algorithm is applied. Since the parameters proposed as s have signi cant correlation with the collapse capacity of short-period structures, they can be used as e cient proxies for GMRS in seismic collapse assessment of short-period structures. The results show that GMRS using s leads to a reduction in the dispersion of structural collapse capacity in comparison with GMRS based on " Sa or .

show abstract

Correlation of Spectral Acceleration Values from NGA Ground Motion Models

Cited by 427 publications

References 10 publications

Intensity measures that reduce collapse capacity dispersion of P-delta vulnerable simple systems

Intensity measures that reduce collapse capacity dispersion of P-delta vulnerable simple systems

Ground motion selection for simulation‐based seismic hazard and structural reliability assessment

Reliable seismic collapse assessment of short-period structures using new proxies for ground motion record selection

Contact Info

Product

Resources

About