Simplified Model for the Torsional Strength of Concrete Beams with GFRP Stirrups

Deifalla, Ahmed Farouk; Khalil, M. S.; Abdelrahman, Amr

doi:10.1061/(asce)cc.1943-5614.0000498

Cited by 23 publications

(7 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Relatively limited detailed studies have investigated the shear strength of RC members; in addition, many questions regarding the strength mechanism, especially the usage of anchorage devices, are yet to be resolved. Many researchers have idealized the EB-FRP jacket as similar to internal steel stirrups, assuming that the shear contribution of EB-FRP to shear capacity arises from the capacity of the FRP to carry tensile stresses at a strain, which is less than or equal to the FRP ultimate tensile strain [16][17][18]. Current Design Guidelines [24][25][26][27][28] are available for designing EB-FRP elements, and many experimental tests have been carried out in this field of research.…”

Section: Previous Studiesmentioning

confidence: 99%

“…It has been used for new structural elements in recent years, particularly in aggressive environments such as chemical plants, due to its high resistance to corrosion [13][14][15][16]. FRP can be used in situations where the usage of steel would be impossible or impractical [17][18][19][20]. For instance, it can be formed on-site to fit any irregular shape.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Reliable Machine Learning Model for Shear Strength of Reinforced Concrete Beams Strengthened Using FRP Jackets

Gasser¹,

Mahmoud²,

Deifalla³

2022

Preprint

View full text Add to dashboard Cite

All over the world, externally bonded fiber-reinforced polymer systems used to strengthen concrete elements improve building sustainability. However, reports issued by the American Concrete Institute Committee 440 called for heavy scrutinizing before actual field implementation. The very limited number of proposed equations lacks reliability and accuracy. Thus, further investigation in this area is needed. In addition, machine learning techniques are being implemented successfully in developing strength models for complex problems. This study aims to provide a reliable machine learning model based on an experimental database. The proposed model was developed and validated against the experimental database and the very limited models in the literature. The model showed improved agreement with the experimental results compared to the previous models.

show abstract

Section: Previous Studiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Reliable Machine Learning Model for Shear Strength of Reinforced Concrete Beams Strengthened Using FRP Jackets

Gasser¹,

Mahmoud²,

Deifalla³

2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Fiber-reinforced polymer (FRP)-RC elements increase the ambiguity further by adding several effects, including and not limited to FRP's linear behavior up to failure and the variability of FRP's Young's modulus (Hassan and Deifalla, 2015;Elmeligy et al, 2017;Deifalla, 2020c;Deifalla, 2021a;Deifalla, 2022). Thus, the complexity associated with developing a physically-based mechanical model is considerable and requires further investigation of new representation approaches (Deifalla and Ghobarah, 2010a;Deifalla et al, 2013;Deifalla, 2015;Deifalla et al, 2015). This is imperative to attaining a much deeper understanding of failure under shear and, consequently, a base for optimum shear provisions in terms of reduced materials, prolonged life span, and improved reliability (Deifalla and Ghobarah, 2010b;Deifalla and Ghobarah, 2014;Deifalla, 2020b;Deifalla, 2021b;Deifalla, 2021d).…”

Section: Introductionmentioning

confidence: 99%

Crack sliding model for non-shear FRP-reinforced slender concrete elements under shear

et al. 2023

View full text Add to dashboard Cite

Fiber-reinforced polymer (FRP)-reinforced concrete (RC) elements fail under one-way shear in a devastating and complicated manner with no adequate warning. In recent decades, there has been pioneering research in this area; however, there is no agreement among researchers regarding mechanically-based models. Thus, in this current study, a plasticity-based model is developed for FRP-RC elements under shear. A selected model was firstly assessed for its accuracy, consistency, and safety against an extensive experimental database. Secondly, a plasticity-based model (i.e., crack shear sliding model) was adapted, refined, and proposed for FRP-RC elements under one-way shear. The two proposed models were found to be reliable and more accurate with respect to selected existing methods. Modeling of FRP’s axial rigidity is more consistent only under Young’s modulus with respect to the experimental database. Several concluding remarks on the selected existing models are outlined and discussed to assist the future development of these models and design codes.

show abstract

“…The difference between the LC and NC affects three of these mechanisms as follows: (1) the tensile strength drops down after the concrete after cracking, thus reducing the residual tensile stresses across inclined cracks; (2) a weaker aggregate, thus reducing shear in the cracking interface due to aggregate interlock as well as the surface roughness along inclined cracks; and (3) a high uncertainty in the aggregate type used as compared to NC, thereby calling for the need for a higher safety factor (Jensen, 2014). Deifalla and co-workers have been working on a longterm project aiming to investigate the one-way and twoway shear and torsion of special concrete types, including not limited to LC, fiber-reinforced polymer (FRP)-RC, and FRC (Deifalla, 2015;Deifalla et al, 2014;Deifalla et al, 2015;Hassan and Deifalla, 2016). The current study has compiled an extensive experimental database of LC and NC specimens tested under shear.…”

Section: Introductionmentioning

confidence: 99%

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

Deifalla

Mukhtar

2022

Advances in Structural Engineering

View full text Add to dashboard Cite

Lightweight concrete (LC) is a viable alternative for conventional normal weight concrete (NC). It has a reduced weight and similar properties. However, shear provisions design codes are way behind for the case of the LC compared to the NC. This study evaluates the shear design of NC and LC specimens. First, an extensive experimental database of these specimens under shear was compiled. Then, selected shear provisions of design codes were outlined and applied for strength calculations. The calculated strengths were evaluated considering the experimentally measured ones to assess these design codes' overall accuracy and consistency. In addition, the effect of selected parameters (depth, concrete strength, flexure reinforcement ratio, shear span to depth ratio, and nominal maximum aggregate size) on the safety of the design was assessed. The third draft of the Eurocode was the most accurate and consistent for the shear design of LC and NC specimens. Finally, the Eurocode shear provisions draft was adapted, refined, verified, and proposed for the shear design of LC beams and slabs.

show abstract

Simplified Model for the Torsional Strength of Concrete Beams with GFRP Stirrups

Cited by 23 publications

References 27 publications

Reliable Machine Learning Model for Shear Strength of Reinforced Concrete Beams Strengthened Using FRP Jackets

Reliable Machine Learning Model for Shear Strength of Reinforced Concrete Beams Strengthened Using FRP Jackets

Crack sliding model for non-shear FRP-reinforced slender concrete elements under shear

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

Contact Info

Product

Resources

About