Danilo D'Angela, Gennaro Magliulo, Chiara Di Salvatore, Edoardo Cosenza
{"title":"Computational modeling of reinforced concrete dapped-end beams","authors":"Danilo D'Angela, Gennaro Magliulo, Chiara Di Salvatore, Edoardo Cosenza","doi":"10.1111/mice.13390","DOIUrl":null,"url":null,"abstract":"The structural response of reinforced concrete dapped-end beams is simulated through finite element analysis. The case study consists in experimental tests performed in the framework of an Italian research project on bridges. The study assesses both the local and global behavior of the beam and characterizes the damage patterns. A blind prediction is initially performed inputting the main basic material and geometrical properties of the specimen. Further models are developed by varying several structural parameters and modeling/analysis features, assessing their influence on the structural capacity and response of the beams. The blind model yielded relatively accurate behavior and capacity estimations. Additionally, the modeling is enhanced by accounting for experimental data. Technical and operative guidelines for implementing the numerical analysis of dapped-end beams are finally provided, in light of the critical assessment of the modeling and analysis results.","PeriodicalId":156,"journal":{"name":"Computer-Aided Civil and Infrastructure Engineering","volume":"66 1","pages":""},"PeriodicalIF":8.5000,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer-Aided Civil and Infrastructure Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1111/mice.13390","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
The structural response of reinforced concrete dapped-end beams is simulated through finite element analysis. The case study consists in experimental tests performed in the framework of an Italian research project on bridges. The study assesses both the local and global behavior of the beam and characterizes the damage patterns. A blind prediction is initially performed inputting the main basic material and geometrical properties of the specimen. Further models are developed by varying several structural parameters and modeling/analysis features, assessing their influence on the structural capacity and response of the beams. The blind model yielded relatively accurate behavior and capacity estimations. Additionally, the modeling is enhanced by accounting for experimental data. Technical and operative guidelines for implementing the numerical analysis of dapped-end beams are finally provided, in light of the critical assessment of the modeling and analysis results.
期刊介绍:
Computer-Aided Civil and Infrastructure Engineering stands as a scholarly, peer-reviewed archival journal, serving as a vital link between advancements in computer technology and civil and infrastructure engineering. The journal serves as a distinctive platform for the publication of original articles, spotlighting novel computational techniques and inventive applications of computers. Specifically, it concentrates on recent progress in computer and information technologies, fostering the development and application of emerging computing paradigms.
Encompassing a broad scope, the journal addresses bridge, construction, environmental, highway, geotechnical, structural, transportation, and water resources engineering. It extends its reach to the management of infrastructure systems, covering domains such as highways, bridges, pavements, airports, and utilities. The journal delves into areas like artificial intelligence, cognitive modeling, concurrent engineering, database management, distributed computing, evolutionary computing, fuzzy logic, genetic algorithms, geometric modeling, internet-based technologies, knowledge discovery and engineering, machine learning, mobile computing, multimedia technologies, networking, neural network computing, optimization and search, parallel processing, robotics, smart structures, software engineering, virtual reality, and visualization techniques.