Results 21 to 30 of about 4,767,291 (342)
The geopolymer concrete has outstanding physical properties and positive impact on environment compared to conventional concrete. Present endeavor highlights a strategy for management of glass and limestone waste to recycle them in geopolymer concrete ...
S. Taher +3 more
semanticscholar +1 more source
Optical fibre sensors and deep learning algorithms based structural health monitoring framework for reinforced concrete beams [PDF]
This thesis presents a novel framework for structural health monitoring (SHM) of reinforced concrete (RC) beams based on fibre optic sensor (FOS) technology, finite element analysis (FEA), and deep learning (DL).
Jayawickrema Udagedara, Minol Narajith
core +1 more source
Shear failure is an undesirable type of failure in terms of structural safety. Particularly, reinforced concrete (RC) deep beams without shear reinforcement are vulnurable to shear failure. In order to improve the shear behavior of such beams, externally
Hasan Cem Akkaya +2 more
doaj +1 more source
Shear Behavior of Steel-Fiber-Reinforced Recycled Aggregate Concrete Deep Beams
Results of an experimental investigation aimed at studying the effect of steel fibers on the shear behavior of concrete deep beams made with a 100% recycled concrete aggregate (RCA) are presented in this paper.
Nancy Kachouh +3 more
semanticscholar +1 more source
Shear Response of Recycled Aggregates Concrete Deep Beams Containing Steel Fibers and Web Openings
Replacement of natural aggregates (NAs) with recycled concrete aggregates (RCAs) in complex reinforced concrete (RC) structural elements, such as deep beams with openings, supports environmental sustainability in the construction industry.
Nancy Kachouh +3 more
semanticscholar +1 more source
Experimental Investigation on Shear Behavior of Dune Sand Reinforced Concrete Deep Beams
An experimental study on the shear behavior of dune sand reinforced concrete (DSRC) deep beams was conducted to determine the feasibility of using dune sand (DS) in engineering. Nine DSRC deep beams were designed and thoroughly analyzed for failure modes,
Zheyi Guo +3 more
doaj +1 more source
This study looks to propose a hybrid soft computing approach that can be used to accurately estimate the shear strength of reinforced concrete (RC) deep beams.
Mosbeh R. Kaloop +6 more
semanticscholar +1 more source
This paper aims to examine the influence of coarse aggregate characteristics, including toughness and nominal maximum size of aggregate on the RC deep beams’ shear behavior made with and without shear reinforcement.
Abdulrahman S. Albidah +3 more
doaj +1 more source
This study aims to predict the shear strength of reinforced concrete (RC) deep beams based on artificial neural network (ANN) using four training algorithms, namely, Levenberg–Marquardt (ANN-LM), quasi-Newton method (ANN-QN), conjugate gradient (ANN-CG),
Thuy-Anh Nguyen +3 more
semanticscholar +1 more source
Shear strengthening of RC deep beams using glass chopped strand mat (GCSM) composite
This paper presents an easy and effective technique for shear strengthening of reinforced concrete (RC) deep beams using the glass chopped strand mat (GCSM) composite.
Lalin Lam +2 more
doaj +1 more source

