scholarly journals Numerical Evaluation of Shear Strength Degradation Mechanism Dependent on the Size Increase of RC Deep Beams with Height up to 1.5 Meter by Using 3D Rigid-Body-Spring-Method

2021 ◽  
Vol 19 (12) ◽  
pp. 1245-1263
Author(s):  
Li Fu ◽  
Hikaru Nakamura ◽  
Shunyuan Chi ◽  
Yoshihito Yamamoto ◽  
Taito Miura
Keyword(s):  
Shear Strength ◽  
Rigid Body ◽  
Numerical Evaluation ◽  
Degradation Mechanism ◽  
Strength Degradation ◽  
Size Increase ◽  
Deep Beams ◽  
Rc Deep Beams ◽  
Spring Method ◽  
Shear Strength Degradation

New strut-and-tie-models for shear strength prediction and design of RC deep beams

2014 ◽  
Vol 14 (1) ◽  
pp. 19-40 ◽  
Author(s):  
Panatchai Chetchotisak ◽  
Jaruek Teerawong ◽  
Sukit Yindeesuk ◽  
Junho Song
Keyword(s):  
Shear Strength ◽  
Strength Prediction ◽  
Deep Beams ◽  
Strut And Tie ◽  
Rc Deep Beams

Performance of RC Deep Beams with Different Combinations of Web Reinforcement

2013 ◽  
Vol 343 ◽  
pp. 21-26
Author(s):  
Raj J. Leon ◽  
G. Appa Rao
Keyword(s):  
Shear Strength ◽  
Water Tank ◽  
Horizontal Shear ◽  
Deep Beams ◽  
Fiber Volume ◽  
Volume Fractions ◽  
Shear Span ◽  
Rc Deep Beams ◽  
Web Reinforcement ◽  
Poly Propylene

The behaviour of reinforced concrete deep beams is complex due to small shear span-to-depth ratios, which deviates its behaviour from the classical Bernoullis beam behaviour. Such behaviour is predominant in cases where members are supported over small spans carrying heavy concentrated or distributed loads. Such is the case in the structural members like pile cap, transfer girder, panel beam, strap beam in foundation, walls of rectangular water tank, shear wall etc. This paper reports on the influence of Poly propylene fibers combined with and without steel fibers on the stiffness, spall resistance and shear strength of RC deep beams. A total of 21 beams were tested to failure under two-point loading, which were compared with the ACI code provisions. The shear span-to-depth ratios adopted were 0.7 to 0.9 incorporating three steel fiber volume fractions of 0%, 1%, 1.25% along with two different fibers of Steel and Poly propylene with volume fractions of (1.0 + 0.0) %, and (1.0 + 1.0) %. The beams with shear span-to-depth ratios 0.7, 0.8 and 0.9 showed an increase of 21.9%, 23.43% and 23.9% in the ultimate load carrying capacity with combined steel and poly propylene fibers as replacement of web reinforcement with reference to that of the beam without web reinforcement. With the above combinations, the shear strength and stiffness of the beams have been found to be improved. When the horizontal shear reinforcement was increased, the shear strength was found to increase.

Empirical modelling of shear strength of RC deep beams by genetic programming

2003 ◽  
Vol 81 (5) ◽  
pp. 331-338 ◽  
Author(s):  
A.F. Ashour ◽  
L.F. Alvarez ◽  
V.V. Toropov
Keyword(s):  
Shear Strength ◽  
Genetic Programming ◽  
Deep Beams ◽  
Empirical Modelling ◽  
Rc Deep Beams

A Shear Strength Degradation Model for Anisotropic Conductive Adhesive Joints Under Hygrothermal Conditions

2013 ◽  
Vol 135 (4) ◽  
Author(s):  
Bo Tao ◽  
Guanghua Wu ◽  
Zhouping Yin ◽  
Youlun Xiong
Keyword(s):  
Shear Strength ◽  
Experimental Testing ◽  
Theoretical Models ◽  
Strength Degradation ◽  
Conductive Adhesive ◽  
Degradation Model ◽  
Anisotropic Conductive Adhesive ◽  
Degradation Data ◽  
Shear Strength Degradation ◽  
Relationship Of

Hygrothermal environments can degrade anisotropic conductive adhesive (ACA) joints by weakening the shear strength of adhesive interface. In this paper, the shear strength degradation model of ACA joints under hygrothermal conditions was formulated through experimental testing and theoretical modeling. The shear strength degradation data were obtained from different hygrothermal aging tests and the ACA moisture properties were characterized for the corresponding hygrothermal conditions. Theoretical models considering the hygrothermal factors of T (temperature), RH (relative humidity), and t (time), were used to fit the shear strength degradation data. It was found that the inverse exponential law was the best candidate model to predict the degradation data. The shear strength degradation model of ACA joints under hygrothermal conditions was proposed, where the relationship of the S (shear strength) and the hygrothermal factors (T, RH, and t) was expressed in an analytical model. The degradation model was validated by experiments, and the model predictions agreed well with the test results.

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