Academic Journal
The influence of RPC thickness on hybrid beams under torsion
| العنوان: | The influence of RPC thickness on hybrid beams under torsion |
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| المؤلفون: | Mohammed, Alyaa H, Hasan, Qais A, Sarsam, Kaiss F |
| المصدر: | IOP Conference Series: Materials Science and Engineering ; volume 737, issue 1, page 012027 ; ISSN 1757-8981 1757-899X |
| بيانات النشر: | IOP Publishing |
| سنة النشر: | 2020 |
| الوصف: | This paper deals with the experimental investigation on torsion in hybrid reinforced concrete beams cast with conventional concrete (CC) at the core surrounded by reactive powder concrete (RPC) at the periphery. Hybrid concrete is usually used in structural members to resist flexure, shear and torsion. Four reinforced concrete beams are cast and tested with dimensions: width 100mm, height 200mm and length 1500mm and the cross-sectional areas of the core in the specimen studied were (20×120) mm and (40×140) mm, respectively. All beams were cast and tested to failure by using two opposite cantilevers steel arms, which contribute to transferring the torque to the central part of the beam. One of the beams was of RPC. The second beam was CC only and the others were hybrid beams. Experimental data on ultimate capacity, cracking torsional loads, failure pattern and twisting angle for each of the beams were obtained. The experimental results show that the ultimate torsional strength value of hybrid beams was higher than conventional concrete beams by about (23.7-50.0) % and about (25.8-10.0) % lower than reactive powder concrete beam depending on the thickness of RPC. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | unknown |
| DOI: | 10.1088/1757-899x/737/1/012027 |
| DOI: | 10.1088/1757-899X/737/1/012027/pdf |
| DOI: | 10.1088/1757-899X/737/1/012027 |
| الاتاحة: | http://dx.doi.org/10.1088/1757-899x/737/1/012027 https://iopscience.iop.org/article/10.1088/1757-899X/737/1/012027/pdf https://iopscience.iop.org/article/10.1088/1757-899X/737/1/012027 |
| Rights: | http://creativecommons.org/licenses/by/3.0/ ; https://iopscience.iop.org/info/page/text-and-data-mining |
| رقم الانضمام: | edsbas.2D96EA8B |
| قاعدة البيانات: | BASE |
| DOI: | 10.1088/1757-899x/737/1/012027 |
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