{"title":"A STATISTICAL METHOD TO PREDICT THE SHAPE OF AN EMBANKMENT COLLAPSE DUE TO THE EARTHQUAKE","authors":"R. Sawada, N. Ohta, T. Sugiyama","doi":"10.2208/jscejge.76.1_88","DOIUrl":null,"url":null,"abstract":"Regarding embankment collapses due to earthquakes, there are various shapes. Therefore, it is essential to predict failure patterns of the embankment collapses to determine effective countermeasures. In addition, a result of prediction of failure patterns of the embankment collapses is applicable to a risk evaluation model, which determines priorities and countermeasure methods of disaster prevention for existing railway em-bankments. Accordingly, we analyzed using Hayashi’s quantification methods to previous data of the railway embankment collapses due to earthquakes, and developed a method capable of predicting failure patterns of the embankment collapses from various embankment conditions.","PeriodicalId":326143,"journal":{"name":"Journal of Japan Society of Civil Engineers, Ser. C (Geosphere Engineering)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Japan Society of Civil Engineers, Ser. C (Geosphere Engineering)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2208/jscejge.76.1_88","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Regarding embankment collapses due to earthquakes, there are various shapes. Therefore, it is essential to predict failure patterns of the embankment collapses to determine effective countermeasures. In addition, a result of prediction of failure patterns of the embankment collapses is applicable to a risk evaluation model, which determines priorities and countermeasure methods of disaster prevention for existing railway em-bankments. Accordingly, we analyzed using Hayashi’s quantification methods to previous data of the railway embankment collapses due to earthquakes, and developed a method capable of predicting failure patterns of the embankment collapses from various embankment conditions.