Nonlinear Finite Element Analysis of Reinforced and Plain Concrete Haunched Beams Under Torsion

Author:

Jebur Hamzah Sabah1

Affiliation:

1. Civil Engineering Department, Vishwakarma Institute of Information Technology , Pune University , India .

Abstract

Abstract The present paper is focused on analysis of reinforced and plain concrete haunched beam under torsion based on non-linear finite element analysis NLFEA approach. Ten cantilever beams (five of them are steel reinforced and the rest are not reinforced) were modelled by using ANSYS software with different haunched angles to achieve the purpose of the present study. The verification was done for two prismatic beams under torsion, and two reinforced concrete haunched beams (RCHBs) under static shear load to ensure the correctness of modelling. The verification work illustrated a good agreement between the NLFEA results by using ANSYS and previous experimental work results. No specific details in torsional design for RCHB in many codes, and no/very less works have done regarding analysis or design of RCHB under torsion. The main purpose of the present work is checking the capability of using ACI-318 code in analysis and design of concrete haunched beam for torsion. The presented paper confirms the validation of using ACI-318-2019 in analysis and design of RCHB and plain concrete haunched beam PCHB as well, where the FEA results by using ANSYS were at accuracy not less than 92 % with the ACI-318-2019 results for all specimens. The torsional mechanism failure and shear stresses distribution of RCHB are discussed in the present paper.

Publisher

Walter de Gruyter GmbH

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3