{"title":"尼日利亚沿海地区桩的应力沉降模型","authors":"Akpila Sb","doi":"10.19080/cerj.2019.08.555738","DOIUrl":null,"url":null,"abstract":"A model that predicts the settlement of pile in the coastal regions of Nigeria (Lekki, Aja, Ikoyi, Victoria Island, Magodo, Ikorodu, Ipakodo and Festac) in Lagos was studied through the use of statistical analysis. Descriptive analysis, parametric test, correlation and regression were used to determine a significant relationship between stress and its settlement. A predictive model describing the relationship between stress and maximum settlement of these piles was generated. The results reveal that the settlement increased by 0.0009mm for every one-point increase in stress. A predictive stress-settlement model was developed with a regression coefficient of 0.8428. The model may be useful in providing settlement information on piles driven within the Lagos.","PeriodicalId":30320,"journal":{"name":"Constructii Journal of Civil Engineering Research","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stress-Settlement Model of Piles in the Coastal Regions of Nigeria\",\"authors\":\"Akpila Sb\",\"doi\":\"10.19080/cerj.2019.08.555738\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A model that predicts the settlement of pile in the coastal regions of Nigeria (Lekki, Aja, Ikoyi, Victoria Island, Magodo, Ikorodu, Ipakodo and Festac) in Lagos was studied through the use of statistical analysis. Descriptive analysis, parametric test, correlation and regression were used to determine a significant relationship between stress and its settlement. A predictive model describing the relationship between stress and maximum settlement of these piles was generated. The results reveal that the settlement increased by 0.0009mm for every one-point increase in stress. A predictive stress-settlement model was developed with a regression coefficient of 0.8428. The model may be useful in providing settlement information on piles driven within the Lagos.\",\"PeriodicalId\":30320,\"journal\":{\"name\":\"Constructii Journal of Civil Engineering Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Constructii Journal of Civil Engineering Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.19080/cerj.2019.08.555738\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Constructii Journal of Civil Engineering Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.19080/cerj.2019.08.555738","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Stress-Settlement Model of Piles in the Coastal Regions of Nigeria
A model that predicts the settlement of pile in the coastal regions of Nigeria (Lekki, Aja, Ikoyi, Victoria Island, Magodo, Ikorodu, Ipakodo and Festac) in Lagos was studied through the use of statistical analysis. Descriptive analysis, parametric test, correlation and regression were used to determine a significant relationship between stress and its settlement. A predictive model describing the relationship between stress and maximum settlement of these piles was generated. The results reveal that the settlement increased by 0.0009mm for every one-point increase in stress. A predictive stress-settlement model was developed with a regression coefficient of 0.8428. The model may be useful in providing settlement information on piles driven within the Lagos.