Seismic Design Regulation Codes: Contribution of K-Net Data to Site Effect Evaluation

Lussou, P.; Bard, Pierre‐Yves; Cotton, Fabrice; Fukushima, Yasuhiro

doi:10.1080/13632460109350384

Cited by 45 publications

(41 citation statements)

References 7 publications

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“…M w has been converted to M JMA for use with the model of Lussou et al [2001] by using Equation 24 of Fukushima [1996]. Ambraseys et al [2005], Boore et al [1997] and Spudich et al [1999] the relation is only compared to data from such sites.…”

Section: Shallow Crustal Earthquakesmentioning

confidence: 99%

A preliminary investigation of strong-motion data from the French Antilles

et al. 2006

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Strong-motion networks have been operating in the Caribbean region since the 1970s, however, until the mid-1990s only a few analogue stations were operational and the quantity of data recorded was very low. Since the mid-1990s, digital accelerometric networks have been established on islands within the region. At present there are thought to be about 160 stations operating in this region with a handful on Cuba, 65 on the French Antilles (mainly Guadeloupe and Martinique), eight on Jamaica, 78 on Puerto Rico (plus others on adjacent islands) and four on Trinidad.After briefly summarising the available data from the Caribbean islands, this article is mainly concerned with analysing the data that has been recorded by the networks operating on the French Antilles in terms of their distribution with respect to magnitude, source-to-site distance, focal depth and event type; site effects at certain stations; and also with respect to their predictability by ground motion estimation equations developed using data from different regions of the world. More than 300 good quality triaxial acceleration time-histories have been recorded on Guadeloupe and Martinique at a large number of stations from earthquakes with moment magnitudes larger than 4.8, however, most of the records are from considerable source-to-site distances. From the data available it is found that many of the commonly-used ground motion estimation equations for shallow crustal earthquakes poorly estimate the observed ground motions on the two islands; ground motions on Guadeloupe and Martinique have smaller amplitudes and are more variable than expected. This difference could be due to regional dependence of ground motions because of, for example, differing tectonics or crustal structures or because the ground motions so far recorded are, in general, from smaller earthquakes and greater distances than the range of applicability of the investigated equations.

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Section: Shallow Crustal Earthquakesmentioning

confidence: 99%

A preliminary investigation of strong-motion data from the French Antilles

et al. 2006

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“…Bonnefoy-Claudet et al, 2006). Furthermore, when computing empirical ground-motion prediction relations, Lussou et al (2001) showed that, for K-net data, site classification by a combination of Vs30 and H/V predominant period reduced the standard deviation of the computed equation. Zhao et al (2006) classified K-net sites using average H/V response spectral ratios and obtained a relation that well modeled local site effects and also reduced the model's uncertainty.…”

Section: Introductionmentioning

confidence: 99%

Site Classification Using Horizontal-to-vertical Response Spectral Ratios and its Impact when Deriving Empirical Ground-motion Prediction Equations

Fukushima

Bonilla

Scotti

et al. 2007

Journal of Earthquake Engineering

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We classify sites based on their predominant period computed using average horizontal-tovertical (H/V) response spectral ratios and examine the impact of this classification scheme on empirical ground-motion models. One advantage of this classification is that deep geological profiles and high shear-wave velocities are mapped to the resonance frequency of the site. We apply this classification scheme to the database of Fukushima et al. (2003), for which stations were originally classified as simply rock or soil. The calculation of average H/V response spectral ratios permits the majority of sites in the database to be unambiguously classified. Soft soil conditions are clearly apparent using this technique.Ground-motion prediction equations are then computed using this alternative classification scheme. The aleatoric variability of these equations (measured by their standard deviations) is slightly lower than those derived using only soil and rock classes. However, perhaps more importantly, predicted response spectra are radically different to those predicted using the soil/rock classification. In addition, since the H/V response spectral ratios were used to classify stations the predicted spectra for different sites show clear separation. Thus, site classification using the predominant period appears to be partially mapped into the site coefficients of the ground-motion model.Keywords: H/V / response spectral ratio / site classification / attenuation relation / predominant period

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“…Table 5. Compared to the corresponding ranking factors published in Scherbaum et al (2004, see also last column in Table 5 in this publication), only two models present slightly higher LH-values (Lussou et al, 2001;Somerville et al, 2001). However, for the remaining GMMs, Table 5).…”

Section: Ranking Resultsmentioning

confidence: 99%