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| | CLINICAL CASE ARTICLE | Am. J. innov. res. appl. sci. Volume 11, Issue 4, Pages 65-72 (October 2020) |
| Research Article 9 |
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American Journal of innovative
Research & Applied Sciences
Research & Applied Sciences
ISSN 2429-5396 (Online)
OCLC Number: 920041286
OCLC Number: 920041286
| HOME || ABOUT US || ARCHIVES || AIMS AND SCOP || AUTHORS || REVIEW|| SUBMIT MANUSCRIPT || EDITORIAL BOARD || CONTACT US |
| OCTOBER | VOLUME 11 | N° 4 | 2020 |
| Info-AJIRAS-® Journal ISSN 2429-5396 (Online) / Reference CIF/15/0289M |
American Journal of Innovative Research & Applied Sciences
ABSTRACT
Background: Shear failure of reinforced concrete members is considered one of the major problems that may cause a structure to fail suddenly, without warning. the main variables affecting the shear strength of reinforced concrete beams without web reinforcement are, concrete compressive strength, effective depth of the beam , longitudinal reinforcement steel ratio , Shear span to depth ratio . Most of the existing models to predict the shear strength of the concrete were experimentally derived from a regression analysis of test data, and each model has different limits and variables. Objectives: The object of this study is to propose a model for predicting the ultimate shear strength of reinforced concrete beams without web reinforcement, which takes into account the main variables () and agrees appropriately with the experimental results available in the literature. Methods: the influence of the main variables affecting the shear strength was estimated through the statistical evaluation of 168 experimental results of reinforced concrete beams without web reinforcement collected from the literature. The database of experimental results of the tested beams covered a wide range of the studied variables. Based on the experimental database and using statistical evaluation, the proposed model was compared to other available models. Conclusions: the study showed that the proposed model accurately considers the influence of the main variables affecting the shear strength of reinforced concrete beams without web reinforcement, and predicts the shear strength more accurately than other studied models.
Keywords: reinforced Concrete beam, shear strength, Shear span to depth ratio, statistical Analysis.
Background: Shear failure of reinforced concrete members is considered one of the major problems that may cause a structure to fail suddenly, without warning. the main variables affecting the shear strength of reinforced concrete beams without web reinforcement are, concrete compressive strength, effective depth of the beam , longitudinal reinforcement steel ratio , Shear span to depth ratio . Most of the existing models to predict the shear strength of the concrete were experimentally derived from a regression analysis of test data, and each model has different limits and variables. Objectives: The object of this study is to propose a model for predicting the ultimate shear strength of reinforced concrete beams without web reinforcement, which takes into account the main variables () and agrees appropriately with the experimental results available in the literature. Methods: the influence of the main variables affecting the shear strength was estimated through the statistical evaluation of 168 experimental results of reinforced concrete beams without web reinforcement collected from the literature. The database of experimental results of the tested beams covered a wide range of the studied variables. Based on the experimental database and using statistical evaluation, the proposed model was compared to other available models. Conclusions: the study showed that the proposed model accurately considers the influence of the main variables affecting the shear strength of reinforced concrete beams without web reinforcement, and predicts the shear strength more accurately than other studied models.
Keywords: reinforced Concrete beam, shear strength, Shear span to depth ratio, statistical Analysis.
*Corresponding author & Copyright Author © 2020: |Nisrin Bahjat Aljubayli 1* |. All Rights Reserved. All articles published in American Journal of Innovative Research and Applied Sciences are the property of Atlantic Center Research
Sciences, and is protected by copyright laws CC-BY. See: http://creativecommons.org/licenses/by-nc/4.0/.
Authors Contact
*Correspondant author and authors Copyright © 2020:
| Nisrin Bahjat Aljubayli *|
Affiliation.
Tishreen University | department of structural engineering | Lattakia | Syria |
This article is made freely available as part of this journal's Open Access: ID | Nsren-Ref.1-ajira130920 |
*Correspondant author and authors Copyright © 2020:
| Nisrin Bahjat Aljubayli *|
Affiliation.
Tishreen University | department of structural engineering | Lattakia | Syria |
This article is made freely available as part of this journal's Open Access: ID | Nsren-Ref.1-ajira130920 |
SHEAR STRENGTH PREDICTION OF REINFORCED CONCRETE BEAMS WITHOUT WEB REINFORCEMENTS
| Nisrin Bahjat Aljubayli * |. Am. J. innov. res. appl. sci. 2020; 11(4):65-72.
| PDF FULL TEXT | | XML FILE | | August 12, 2020 | | Accepted | September 12, 2020 | | Published | October 12, 2020 |
| Nisrin Bahjat Aljubayli * |. Am. J. innov. res. appl. sci. 2020; 11(4):65-72.
| PDF FULL TEXT | | XML FILE | | August 12, 2020 | | Accepted | September 12, 2020 | | Published | October 12, 2020 |