钢筋混凝土垂端梁的计算模型

IF 8.5 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Danilo D'Angela, Gennaro Magliulo, Chiara Di Salvatore, Edoardo Cosenza
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引用次数: 0

摘要

采用有限元方法模拟了钢筋混凝土垂端梁的结构响应。案例研究包括在意大利桥梁研究项目框架内进行的实验测试。该研究评估了梁的局部和全局行为,并描述了损伤模式。首先进行盲预测,输入试件的主要基本材料和几何特性。进一步的模型是通过改变几个结构参数和建模/分析特征来开发的,评估它们对梁的结构能力和响应的影响。盲模型产生了相对准确的行为和容量估计。此外,通过考虑实验数据,增强了建模能力。最后,根据对模型和分析结果的批判性评估,提供了实施斜端梁数值分析的技术和操作指南。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational modeling of reinforced concrete dapped-end beams
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.
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来源期刊
CiteScore
17.60
自引率
19.80%
发文量
146
审稿时长
1 months
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.
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