{"title":"基于深度学习和图像预处理的混凝土桥梁裂缝修补跟踪和二次裂缝分类检测方法","authors":"Zhongying He, Wen Xu","doi":"10.1080/15732479.2024.2330702","DOIUrl":null,"url":null,"abstract":"As a main type of vulnerability, a large number of cracks exists in concrete bridges, and some cracks will be secondary dehisced after repair, and the crack repair traces (CRTs) or the secondary cr...","PeriodicalId":49468,"journal":{"name":"Structure and Infrastructure Engineering","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2024-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Deep learning and image preprocessing-based crack repair trace and secondary crack classification detection method for concrete bridges\",\"authors\":\"Zhongying He, Wen Xu\",\"doi\":\"10.1080/15732479.2024.2330702\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As a main type of vulnerability, a large number of cracks exists in concrete bridges, and some cracks will be secondary dehisced after repair, and the crack repair traces (CRTs) or the secondary cr...\",\"PeriodicalId\":49468,\"journal\":{\"name\":\"Structure and Infrastructure Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-03-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Structure and Infrastructure Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/15732479.2024.2330702\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Structure and Infrastructure Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/15732479.2024.2330702","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
Deep learning and image preprocessing-based crack repair trace and secondary crack classification detection method for concrete bridges
As a main type of vulnerability, a large number of cracks exists in concrete bridges, and some cracks will be secondary dehisced after repair, and the crack repair traces (CRTs) or the secondary cr...
期刊介绍:
Structure and Infrastructure Engineering - Maintenance, Management, Life-Cycle Design and Performance is an international Journal dedicated to recent advances in maintenance, management and life-cycle performance of a wide range of infrastructures, such as: buildings, bridges, dams, railways, underground constructions, offshore platforms, pipelines, naval vessels, ocean structures, nuclear power plants, airplanes and other types of structures including aerospace and automotive structures.
The Journal presents research and developments on the most advanced technologies for analyzing, predicting and optimizing infrastructure performance. The main gaps to be filled are those between researchers and practitioners in maintenance, management and life-cycle performance of infrastructure systems, and those between professionals working on different types of infrastructures. To this end, the journal will provide a forum for a broad blend of scientific, technical and practical papers. The journal is endorsed by the International Association for Life-Cycle Civil Engineering ( IALCCE) and the International Association for Bridge Maintenance and Safety ( IABMAS).