Khamnoy Kounlavong, Van Qui Lai, Jitesh T. Chavda, Rungkhun Banyong, Pitthaya Jamsawang, Suraparb Keawsawasvong
{"title":"应用人工神经网络预测埋地矩形箱形承载管道的横向和上浮能力","authors":"Khamnoy Kounlavong, Van Qui Lai, Jitesh T. Chavda, Rungkhun Banyong, Pitthaya Jamsawang, Suraparb Keawsawasvong","doi":"10.1080/1064119x.2023.2300046","DOIUrl":null,"url":null,"abstract":"Urban and offshore subterranean comprehensive pipelines are currently utilized frequently as infrastructure for fitting different engineering pipelines used for electricity, signal transmission, na...","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of artificial neural networks for predicting lateral and uplift capacity of buried rectangular box carrying pipelines\",\"authors\":\"Khamnoy Kounlavong, Van Qui Lai, Jitesh T. Chavda, Rungkhun Banyong, Pitthaya Jamsawang, Suraparb Keawsawasvong\",\"doi\":\"10.1080/1064119x.2023.2300046\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Urban and offshore subterranean comprehensive pipelines are currently utilized frequently as infrastructure for fitting different engineering pipelines used for electricity, signal transmission, na...\",\"PeriodicalId\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-01-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/1064119x.2023.2300046\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/1064119x.2023.2300046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
Application of artificial neural networks for predicting lateral and uplift capacity of buried rectangular box carrying pipelines
Urban and offshore subterranean comprehensive pipelines are currently utilized frequently as infrastructure for fitting different engineering pipelines used for electricity, signal transmission, na...
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
