Guidance on the Utilization of Earthquake-Induced Ground Motion Simulations in Engineering Practice

Bradley, Brendon; Pettinga, Didier; Baker, Jack W.; Fraser, J.

doi:10.1193/120216eqs219ep

Cited by 40 publications

(34 citation statements)

References 62 publications

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“…Region-specific GMMs for integral IMs can also be utilized in the engineering validation of simulated ground motions. [32][33][34] The existing GMMs for integral IMs are developed based on global databases, which might only partially represent the peculiar features observed in Italian strong-motion records. 35 The growing Italian dataset is of special interest (as also discussed in Scasserra et al 35 and Lanzano et al 36 ), because (1) it is principally from earthquakes in extensional regions that are poorly represented in global databases; and (2) past practice in Italy has used local GMMs based on limited datasets 37 .…”

Section: Introductionmentioning

confidence: 99%

Correlation properties of integral ground‐motion intensity measures from Italian strong‐motion records

Huang

Tarbali

Galasso

2020

Earthq Engng Struct Dyn

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This study investigates the correlation properties of integral ground-motion intensity measures (IMs) from Italian strong-motion records. The considered integral IMs include 5-95% significant duration, Housner intensity, cumulative absolute velocity, and Arias intensity. Both IM spatial correlation and the correlation between different integral and amplitude-based IMs (i.e., cross-IM correlation) are addressed in this study. To this aim, a new Italian ground-motion model (GMM) with spatial correlation for integral IMs is first introduced. Based on the newly developed GMM, the empirical correlation coefficients from interevent and intraevent residuals are investigated and various analytical correlation models between integral IMs and amplitude-based IMs are proposed. The effective range parameter representing spatial correlation properties and the trend in the cross-IM correlations are compared with existing models in the literature. The variability of the effective range parameters with respect to event-specific features is also discussed. Modeling groundmotion spatial and cross-IM correlations is an important step in seismic hazard and risk assessment of spatially distributed systems. Investigating regionspecific correlation properties based on Italian strong-motion records is of special interest as several correlation models have been developed based on global datasets, often lacking earthquakes in extensional regions such as Italy.

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Section: Introductionmentioning

confidence: 99%

Correlation properties of integral ground‐motion intensity measures from Italian strong‐motion records

Huang

Tarbali

Galasso

2020

Earthq Engng Struct Dyn

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“…Despite being permitted by NZS 1170.5, conventional practice has been to use historic as-recorded motions. Further discussion can be found in [36].…”

Section: Other Considerations Not Within the Scope Of This Papermentioning

confidence: 99%

Ground motion input for nonlinear response history analysis

Morris¹,

Thompson²,

Dismuke

et al. 2019

BNZSEE

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Nonlinear response history analysis (NLRHA), or so-called "nonlinear time history analysis", is adopted by practicing structural engineers who implement performance-based seismic design and/or assessment procedures. One important aspect in obtaining reliable output from the NLRHA procedure is the input ground motion records. The underlying intention of ground motion selection and amplitude-scaling procedures is to ensure the input for NLRHA is representative of the ground shaking hazard level, for a given site and structure.The purpose of this paper is to highlight the salient limitations of the ground motion selection and scaling requirements in Sections 5.5 and 6.4 of the New Zealand (NZ) loading standard NZS 1170.5 (2004). From a NZ regulatory perspective; there is no specific framework for seismic hazard analysis and ground motion selection (thus self-regulation is the current norm). In contrast, NZS 1170.5 contains many prescriptive requirements for scaling and applying records which are challenging to satisfy in practice. Also discussed within, there are implications for more modern guidance documents in NZ, such as the 2017 "Assessment Guidelines" for existing buildings, which cite NZS 1170.5, a standard which is at least 16 years old (draft issued in 2002). To emphasize the above issues with NZS 1170.5, this paper presents a summary of the more contemporary approaches in the US standards ASCE 7-16 (new buildings) and ASCE 41-17 (existing buildings), along with some examples of the more stringent US requirements for Tall Buildings.

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“…Validation of ground motion simulation methods is critical to develop confidence in their predictive capabilities before they are used in forward prediction of future events [32]. It is also important to note that region-specific validation is required in order to ascertain the appropriateness of the simulation methodology and 3D crustal velocity model [35]. Ideally, the validation would consist of comparing simulations against observations for earthquakes that have similar characteristics to the prospective earthquake and have occurred in the same geographic region of interest.…”

Section: Validation Using Historic Earthquakesmentioning

confidence: 99%

Ground motion simulations of Hope fault earthquakes

Thomson

Lee

Bradley

2019

BNZSEE

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This paper examines ground motions for a major potential M w 7.51 rupture of the Hope Fault using a physicsbased simulation methodology and a 3D crustal velocity model of New Zealand. The simulation methodology was validated for use in the region through comparison with observations for a suite of historic small magnitude earthquakes located proximal to the Hope Fault. Simulations are compared with conventionally utilised empirical ground motion models, with simulated peak ground velocities being notably higher in regions with modelled sedimentary basins. A sensitivity analysis was undertaken where the source characteristics of magnitude, stress parameter, hypocentre location and kinematic slip distribution were varied and an analysis of their effect on ground motion intensities is presented. It was found that the magnitude and stress parameter strongly influenced long and short period ground motion amplitudes, respectively. Ground motion intensities for the Hope Fault scenario are compared with the 2016 Kaikōura M w 7.8 earthquake, it was found that the Kaikōura earthquake produced stronger motions along the eastern South Island, while the Hope Fault scenario resulted in stronger motions immediately West of the near-fault region and similar levels of ground motion in Canterbury. The simulated ground motions for this scenario complement prior empirically-based estimates and are informative for mitigation and emergency planning purposes 170˚171˚172˚173˚174˚175˚176− 44− 43− 42− 41−

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Guidance on the Utilization of Earthquake-Induced Ground Motion Simulations in Engineering Practice

Cited by 40 publications

References 62 publications

Correlation properties of integral ground‐motion intensity measures from Italian strong‐motion records

Correlation properties of integral ground‐motion intensity measures from Italian strong‐motion records

Ground motion input for nonlinear response history analysis

Ground motion simulations of Hope fault earthquakes

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