Areal prediction of velocity PSI-value based on Microtremor Records
Abstract
This article proposes that a framework of areal prediction of velocity PSI-value related to site amplification factor based on the limited amount of microtremor records.
Precise prediction of seismic response of civil engineering structures including port and harbor facilities of our research target needs precise prediction of site amplification factor at the site where the structure is located. To predict site amplification factor needs several kinds of data, dynamic records such as seismic records or microtremor records and static records such as boring logs or P-S logging records and their data range widely in availability. Seismic records at the target site may predict the site amplification factor precisely, but for that accomplishment some high-quality data with small noise are required and they are difficult to observe at sites with low seismicity. Therefore microtremor records available more easily than seismic records are used usually for prediction of site amplification factor. There're a lot of researches on prediction of site amplification factor at a single point based on microtremor records and their knowledge are utilized for practice. However most of port and harbor facilities have a certain level of extension so it's not enough only by predicting the site amplification factor at a single point near the target structure in order to know the seismic response of the whole structure. To that problem zoning is conducted practically, the method to predict site amplification factor of a certain area and split it into smaller areas with similar characteristics in terms of microtremor records. But zoning requires a lot of records and isn't suited for prediction of site amplification factor for a wide area. Nevertheless a few research is conducted on prediction of site amplification factor for a wide area by the limited amount of microtremor records. The proposed method is based mainly on Kriging and Bayesian Kriging. The methodology and illustrative case studies are provided on the prediction of velocity PSI-value including an error at a site where there're microtremor records or not and evaluation of change in prediction precision of velocity PSI-value with additional static data such as boring logs or P-S logging records.- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2020
- Bibcode:
- 2020AGUFMS002.0025F
- Keywords:
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- 7299 General or miscellaneous;
- SEISMOLOGY