Luay Mohammed Abass Albothabhak

This investigation looks at the additive impact of polypropylene fibers to the concrete properties. The structural performance of polypropylene fibers concrete double tee beams was also inspected. Four-point bending tests were prepared with fiber content (0.5, 1.0, 1.5 and 2% by weight) to inspect the flexural strength and deflection of double tee beams. Additionally, the impact of PPF on the beams with various amounts of transverse steel reinforcement was explored. The outcomes demonstrate that fiber addition improved the concrete properties in general and enhanced the ductility and the load bearing capacity, control of cracking of the double tee beams remarkably. The highest increase in loading was 21.98%, at the same manner an increases were observed in the deflection values under the largest load compared to the control sample. Deflection was decreases with respect to the same loading stages with the increase of fiber contents, the highest recorded decrease was 21.47%. The polypropylene fiber can be used as a solution for the cases with stirrups congestion since the ultimate load was increases with the same spacing of stirrups. The polypropylene fiber usage was upheld as hopeful Technics for the different problems of concrete cracking in destructive situations.

This examination went for analyzing the potential utilize reinforced concrete (RC) deep beams that had web openings by steel plates. Examinations were led to test thirteen deep beams under two point stacking with square openings. Each tried beam had a cross area of 100 mm x 400 mm and total length of 1000 mm. Two openings, one in each shear traverse, were set symmetrically about the midpoint of the slanted compressive strut. Test parameters incorporated the opening shape. It was presumed that the auxiliary conduct of deep beams that had openings was essentially subject to the intrusion level of the slanted compressive strut. In deep beam with openings, the first askew cracks showed up in the scope of 28% in experimental while the first cracking stress showed up in the scope of 30% in finite element software [abaqus]. The ultimate load close to the best and base corners of the openings. The nearness of unstrengthened openings diminished the mid-span deflection by ( 8% ) for SQ, specimen, as compared with abaqus result. Keywords: Reinforced concrete deep beams, square openings, , self-compacted concrete, abaqus nonlinear F.E analysis. 1.INTRODUCTION RC deep beams are individuals in which an imperative share of the load is conveyed to the backings by compression struts joining the loads and backings. ACI 318-14, area 9.9 [1] characterizes that deep beams ought to be loaded on the loading and supporting focuses in a way that compression pushes can develop between theories loading and supporting focuses. For the past time, the deep beams have been composed by the slender beam semi-empirical strategies. All things considered, some expository reports and exploratory outcomes have determined that internal forces redistribution before disappointment, internal force components and shear strength in deep beams are entirely unexpected International Journal of Scientific & Engineering Research Volume 9, Issue 5, May-2018 ISSN 2229-5518 413 IJSER © 2018 http://www.ijser.org IJSER

In this paper, the Artificial Neural Network (ANN) and the Adaptive Neuro-Fuzzy Inference Framework (ANFIS) are utilized to foresee the shear quality of Reinforced Concrete (RC) shafts, and the models are contrasted and American Concrete Institute (ACI) and Iranian Concrete Institute (ICI) observational codes. The ANN display, with Multi-Layer Perceptron (MLP), utilizing a Back-Propagation (BP) algorithm, is utilized to foresee the shear quality of RC pillars. Six vital parameters are chosen as info parameters counting: concrete compressive quality, longitudinal reinforcement volume, shear traverse to-profundity proportion, transverse support, compelling profundity of the bar and bar width. The ANFIS demonstrate is additionally connected to a database and results are contrasted and the ANN show and exact codes. The primary request Sugeno fuzzy is utilized in light of the fact that the resulting some portion of the Fuzzy Inference System (FIS) is direct and the parameters can be assessed by a basic minimum squares blunder technique. Correlation between the models and the observational equations demonstrates that the ANN display with the MLP/BP algorithm gives better expectation to shear quality. In addition, ANN and ANFIS models are more precise than ICI and ACI exact codes in expectation of RC bars shear quality. These study were verified by using powerful finite element program and gave suitable agreement with NNA approaches.

The ability to reasonably predict the response of steel structures under fire effects is of great importance in structural fire safety design. This paper presents neural networks prediction of axial load capacity for steel columns in fire. An algorithm of back propagation neural network with the log-sigmoid activation function is adopted because of its precision and results enhancement of foretelling. The legitimacy of the technique is tried by contrasting and distributed test information on steel columns at surrounding and elevated heat. The examinations demonstrate such technique gives great connection with test information. Parametric studies have been done to evaluate the impacts of cross sectional shape, slenderness ratios and eccentricity of loading on the carrying capacity of steel columns under fire. It is trusted that the important data gave in this work will be helpful in giving a superior comprehension on the genuine behavior of steel sections in fire and a great step in improving the method of design

This research submits theoretical and experimental realization of shear behavior of RC I-beams with polypropylene fiber with different volume fraction of plastic fiber as additive. The enhance of the sustainability of structural elements through the development of its mechanical performance by adding new materials such as plastic raw materials has become more important in the current period , particularly I-beams that was used in the long spans structure to become more environmentally-friendly. Seven specimens were tested in this study and only the amount of fiber volume fraction was varied. Experimental results showed that the ultimate strengths are increased in range (4.4% to 35.27%) that of control IB-1 for the tested beams containing Polypropylene Fiber Reinforced Concrete (PPFRC) with varied amount percentage of fiber material. Crack arrest mechanism of polypropylene fibers, and compressive strength of concrete increased in range (7.42% to 29.3%) that of plain concrete, and improved the tensile response in range (8.36% to 92.7%) that of plain concrete, limited crack propagation. So, improved behavior was obtained. ANSYS 11, Finite Element models software are used to emulate two tested I-beams. 3D-nonlinear solid elements was utilized to model the concrete, while, the steel reinforcement was demonstrated by spar element. It was found that the general practices of the FE models demonstrated acceptable concurrence with perceptions and information from the experimental

This research submits theoretical and experimental realization of shear behavior of RC I-beams with polypropylene fiber with different volume fraction of plastic fiber as additive. The enhance of the sustainability of structural elements through the development of its mechanical performance by adding new materials such as plastic raw materials has become more important in the current period , particularly I-beams that was used in the long spans structure to become more environmentally-friendly. Seven specimens were tested in this study and only the amount of fiber volume fraction was varied. Experimental results showed that the ultimate strengths are increased in range (4.4% to 35.27%) that of control IB-1 for the tested beams containing Polypropylene Fiber Reinforced Concrete (PPFRC) with varied amount percentage of fiber material. Crack arrest mechanism of polypropylene fibers, and compressive strength of concrete increased in range (7.42% to 29.3%) that of plain concrete, and improved the tensile response in range (8.36% to 92.7%) that of plain concrete, limited crack propagation. So, improved behavior was obtained. ANSYS 11, Finite Element models software are used to emulate two tested I-beams. 3D-nonlinear solid elements was utilized to model the concrete, while, the steel reinforcement was demonstrated by spar element. It was found that the general practices of the FE models demonstrated acceptable concurrence with perceptions and information from the experimental

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The Shear Behavior of Reinforced Concrete I – Beams With Polypropylene Fibers