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Testing non-linear amplification factors used in ground motion models

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<p>Non-linear site effects are mainly expected for strong ground motions and sites with soft soils and more recent ground-motion models (GMM) have started to include such effects. Observations in this range are, however, sparse, and most non-linear site amplification models are therefore partly or fully based on numerical simulations. We develop a framework for testing of non-linear site amplification models using data from the comprehensive Kiban-Kyoshin network in Japan. The test is reproducible, following the vision of the Collaboratory for the Study of Earthquake Predictability (CSEP), and takes advantage of new large datasets to evaluate <span>whether or not</span> non-linear site effects predicted by site-amplification models are supported by empirical data. The site amplification models are tested using residuals between the observations and predictions from a GMM based only on magnitude and distance. When the GMM is derived without any site term, the site-specific variability extracted from the residuals is expected to capture the site response of a site. The non-linear site amplification models are tested against a linear amplification model on individual well-record<span>ing</span> stations. Finally, the result is compared to building codes where non-linearity is included. The test shows that for most of the sites selected as having sufficient records, the non-linear site-amplification models do not score better than the linear amplification model. This suggests that including non-linear site amplification in GMMs and building codes may not yet be justified, at least not in the range of ground motions considered in the test (peak ground acceleration < 0.2 g).</p>
Title: Testing non-linear amplification factors used in ground motion models
Description:
<p>Non-linear site effects are mainly expected for strong ground motions and sites with soft soils and more recent ground-motion models (GMM) have started to include such effects.
Observations in this range are, however, sparse, and most non-linear site amplification models are therefore partly or fully based on numerical simulations.
We develop a framework for testing of non-linear site amplification models using data from the comprehensive Kiban-Kyoshin network in Japan.
The test is reproducible, following the vision of the Collaboratory for the Study of Earthquake Predictability (CSEP), and takes advantage of new large datasets to evaluate <span>whether or not</span> non-linear site effects predicted by site-amplification models are supported by empirical data.
The site amplification models are tested using residuals between the observations and predictions from a GMM based only on magnitude and distance.
When the GMM is derived without any site term, the site-specific variability extracted from the residuals is expected to capture the site response of a site.
The non-linear site amplification models are tested against a linear amplification model on individual well-record<span>ing</span> stations.
Finally, the result is compared to building codes where non-linearity is included.
The test shows that for most of the sites selected as having sufficient records, the non-linear site-amplification models do not score better than the linear amplification model.
This suggests that including non-linear site amplification in GMMs and building codes may not yet be justified, at least not in the range of ground motions considered in the test (peak ground acceleration < 0.
2 g).
</p>.

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