Shear strength of lightweight and normal-weight concrete slender beams and slabs: An appraisal of design codes

Deifalla, Ahmed Farouk; Mukhtar, Faisal M.

doi:10.1177/13694332221098869

Cited by 8 publications

(7 citation statements)

References 47 publications

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“…LWC is prepared by substituting CA and FA with industrial waste materials, based on the size in a definite proportion, even nanomaterials, in normal concrete, [19][20][21][22] About 60% replacement by cinder ( in volume) to normal BHG aggregates and cement is substituted by about 1/10th silica fume (weight basis), retains the strengths intact, specifically in M20 & M25 grade CC, [23][24][25][26]. Concrete made of Light Weight Aggregates (LWAC) can have acoustic and thermal properties of better quality in comparison to LWC, [27,28].…”

Section: Literature Reviewmentioning

confidence: 99%

Lightweight Aggregate Concrete: Strength Analysis

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Das³

et al. 2022

CJAST

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The lightweight concrete (LWC) has been successfully employed, by the ancient Romans and its popularity has grown for its reduced density and higher thermal insulation capabilities. Compared to ordinary mix concrete (OMC), LWC can substantially lessen the dead load of high-rise structures. The density of LWC is comparatively low i.e. 300 to 1850 kg/m3, whereas conventional concrete has a unit weight of 2200kg/m3 to 2600kg/m3. Many pieces of research on adding disposable industrial wastes LWC focus on "semi-lightweight" or concrete built of lightweight materials which have provided both structural, financial, and environmental achievements. Synthetic lightweight aggregate derived from industries/environmental waste is not possible for reuse openly dumped and makes it environmental abuse. The lowering self-load of a structure made of lightweight concrete makes it easy the handling heavier pre-cast pieces. Present research involves of amalgamation of low specific weight “cinder” as coarse and fine aggregate replacements at various percentages and comparing the physical and mechanical characteristics of concrete made from it with orthodox concrete. The replacement was 10%, which will boost the flexural, tensile, and compressive strength if replaced as a fine Aggregate. The compressive strength, flexural splitting, and tensile strength of SF were raised by 20%. Will be cut back. Cinder added as coarse and fine aggregate in concrete, makes the LWC that enhances workability, foaminess, and up to 20% replacement as CA behaves as the ordinary normal concrete.

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Section: Literature Reviewmentioning

confidence: 99%

Lightweight Aggregate Concrete: Strength Analysis

Sahoo¹,

Sahoo

Das³

et al. 2022

CJAST

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“…The present study adopts the most comprehensive database for LC and FRP-Reinforced concrete elements available, consisting of 700 specimens tested in 70 studies [3][4][5][6][7].…”

Section: Experimental Databases For One-way Shear and Two-way Shearmentioning

confidence: 99%

“…One-way and two-way shear strength of concrete elements is a complicated issue influenced with so many parameters and mechanisms. One-way shear is more advanced in terms of research studies and findings [1][2][3][4][5][6][7]; however, both one-way and two-way shear is still a dilemma with many hidden factors to be revealed. Those factors include the size effect and dowel action.…”

Section: Introductionmentioning

confidence: 99%

“…In this communication, several design code appraisals developed by Deifalla and co-workers for various cases are outlined. Those cases include the following: (1) FRP-reinforced concrete elements under one-way and two-way shear [3][4] ; (2) Lightweight concrete elements under one-way shear [5][6][7]. Those appraisals were developed based on experimentally observed behavior in terms of identifying effective parameters and multi-variable nonlinear regression for extensive experimental databases.…”

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confidence: 99%

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Data Driven Appraisal for One-way and Two-way Shear Design of Lightweight Concrete and FRP-reinforced Concrete Elements

Deifalla¹

2022

Proceedings of the 7th International Conference on Civil, Structural and Transportation Engineering (ICCSTE'22)

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“…The failure of concrete elements in shear is brittle, which could result in a catastrophic disaster. The shear resistance of concrete elements is composed of several mechanisms, including but not limited to the direct shear mechanism, arch mechanism, crack slippage mechanism and dowel resistance mechanism [8,9]. The importance and effectiveness of each mechanism are variable in the values of parameters for each element [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Evaluating Shear Strength of Light-Weight and Normal-Weight Concretes through Artificial Intelligence

2022

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The strength of concrete elements under shear is a complex phenomenon, which is induced by several effective variables and governing mechanisms. Thus, each parameter’s importance depends on the values of the effective parameters and the governing mechanism. In addition, the new concrete types, including lightweight concrete and fibered concrete, add to the complexity, which is why machine learning (ML) techniques are ideal to simulate this behavior due to their ability to handle fuzzy, inaccurate, and even incomplete data. Thus, this study aims to predict the shear strength of both normal-weight and light-weight concrete beams using three well-known machine learning approaches, namely evolutionary polynomial regression (EPR), artificial neural network (ANN) and genetic programming (GP). The methodology started with collecting a dataset of about 1700 shear test results and dividing it into training and testing subsets. Then, the three considered (ML) approaches were trained using the training subset to develop three predictive models. The prediction accuracy of each developed model was evaluated using the testing subset. Finally, the accuracies of the developed models were compared with the current international design codes (ACI, EC2 & JSCE) to evaluate the success of this research in terms of enhancing the prediction accuracy. The results showed that the prediction accuracies of the developed models were 68%, 83% & 76.5% for GP, ANN & EPR, respectively, and 56%, 40% & 62% for ACI, EC2 & JSCE, in that order. Hence, the results indicated that the accuracy of the worst (ML) model is better than those of design codes, and the ANN model is the most accurate one.

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Shear strength of lightweight and normal-weight concrete slender beams and slabs: An appraisal of design codes

Cited by 8 publications

References 47 publications

Lightweight Aggregate Concrete: Strength Analysis

Lightweight Aggregate Concrete: Strength Analysis

Data Driven Appraisal for One-way and Two-way Shear Design of Lightweight Concrete and FRP-reinforced Concrete Elements

Evaluating Shear Strength of Light-Weight and Normal-Weight Concretes through Artificial Intelligence

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