Effectiveness Factor of Concrete in Continuous Deep Beams

Ashour, Ashraf; Morley, C. T.

doi:10.1061/(asce)0733-9445(1996)122:2(169)

Cited by 33 publications

(22 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The statistical parameters show the efficiency of both the strut and tie models and mechanism analysis in predicting the deep beam capacity. In addition, the plasticity-based analyses of deep beams accurately predicted the trend of deep beam capacity against different influencing parameters, for example, the decrease of deep beam capacity with the increase of shear-span-to-depth ratio [3,12,6,37] as experimentally observed in many investigations.…”

Section: Predictions Of Deep Beam Capacity Using Plasticity Theorymentioning

confidence: 81%

“…Based on statistical analysis for the effectiveness factor of concrete in continuous deep beams, Ashour and Morley [6] proposed a formula for the effectiveness factor of concrete in continuous deep beams expressed in terms of concrete strength and amount of reinforcement:…”

Section: Effectiveness Factor Of Concretementioning

confidence: 99%

“…According to the upper-bound theorem of the plasticity theory, the collapse occurs at the least strength [3]. The minimum value of the load capacity is obtained by varying the position (X ic , Y ic ) of the instantaneous centre in the vertical plane of the deep beam [6,10,24,36,37]. This is normally achieved by numerical optimisation techniques.…”

Section: Upper Bound On Load Capacity Of Deep Beamsmentioning

confidence: 99%

“…  [6,24] Continuous deep beams [24] Continuous 75 1.07 0.14 0.13   and stand for the mean, standard deviation and coefficient of variation of predicted and experimental capacities. All deep beams considered in the above investigations were solid, without web openings.…”

Section: Correlation and Conclusionmentioning

confidence: 99%

See 3 more Smart Citations

Application of plasticity theory to reinforced concrete deep beams: a review

Ashour

Yang

2008

Magazine of Concrete Research

View full text Add to dashboard Cite

This paper reviews the application of the plasticity theory to reinforced concrete deep beams. Both the truss analogy and mechanism approach were employed to predict the capacity of reinforced concrete deep beams. In addition, most current codes of practice, for example Eurocode 1992 and ACI 318-05, recommend the strut-and-tie model for designing reinforced concrete deep beams. Compared with methods based on empirical or semi-empirical equations, the strut-and-tie model and mechanism analyses are more rational, adequately accurate and sufficiently simple for estimating the load capacity of reinforced concrete deep beams. However, there is a problem of selecting the effectiveness factor of concrete as reflected in the wide range of values reported in the literature for deep beams.

show abstract

Section: Predictions Of Deep Beam Capacity Using Plasticity Theorymentioning

confidence: 81%

Section: Effectiveness Factor Of Concretementioning

confidence: 99%

Section: Upper Bound On Load Capacity Of Deep Beamsmentioning

confidence: 99%

Section: Correlation and Conclusionmentioning

confidence: 99%

See 2 more Smart Citations

Application of plasticity theory to reinforced concrete deep beams: a review

Ashour

Yang

2008

Magazine of Concrete Research

View full text Add to dashboard Cite

show abstract

“…Although there is no unified approach for evaluating the effectiveness factor of concrete, many investigations 19,20 clearly…”

Section: Materials Modellingmentioning

confidence: 99%

Shear capacity of reinforced concrete corbels using mechanism analysis

Yang

Ashour

2012

Proceedings of the Institution of Civil Engineers - Structures

View full text Add to dashboard Cite

A mechanism analysis is developed to predict the shear capacity of reinforced concrete corbels.Based on shear failure planes observed in experimental tests, kinematically admissible failure modes are idealized as an assemblage of two rigid blocks separated by failure surface of displacement discontinuity. 2Shear capacity predictions obtained from the developed mechanism analysis are in better agreement with corbel test results of a comprehensive database compiled from the available literature than other existing models for corbels. The developed mechanism model shows that the shear capacity of corbels generally decreases with the increase of shear span-to-depth ratio, increases with the increase of main longitudinal reinforcement up to a certain limit beyond which it remains constant, and decreases with the increase of horizontal applied loads. In addition, the smaller the shear spanto-overall depth ratio of corbels, the more effective the horizontal shear reinforcement.

show abstract

Metaheuristics‐optimized ensemble system for predicting mechanical strength of reinforced concrete materials

Chou

Nguyen

2021

Struct Control Health Monit

View full text Add to dashboard Cite

Summary This paper develops a novel artificial intelligence (AI)‐based approach, called the metaheuristics‐optimized ensemble system (MOES), to assist civil engineers significantly in achieving accurate estimations of the mechanical strength of reinforced concrete (RC) materials. MOES integrates the advantages of hybrid and ensemble models by combining a metaheuristic optimization algorithm and efficient AI models. The metaheuristic algorithm finds the optimal hyperparameters of individual AI techniques and simultaneously adjusts their weights to yield the best optimized‐weight‐ensemble model. Particularly, the developed MOES was established by integrating the forensic‐based investigation optimization algorithm, the radial basis function neural network, and the least squares support vector regression. Four case studies of predicting structural mechanics of RC beams were performed to evaluate the performance of MOES and compare it to those of other single AI models, conventional ensemble models, hybrid models, and empirical methods. The analytical results of cross‐validation reveal that MOES was the most reliable approach, achieving the best values of all performance evaluation indexes. The automated predictive analytics revealed the robustness, efficiency, and stability of MOES. Thus, the proposed approach is a highly promising tool for predicting the structural mechanics of RC beams. The success of MOES in estimating the mechanical strength of RC beams has redefined the way of optimizing an ensemble AI model, which is the primary contribution of this research to the relevant body of knowledge.

show abstract

Effectiveness Factor of Concrete in Continuous Deep Beams

Cited by 33 publications

References 2 publications

Application of plasticity theory to reinforced concrete deep beams: a review

Application of plasticity theory to reinforced concrete deep beams: a review

Shear capacity of reinforced concrete corbels using mechanism analysis

Metaheuristics‐optimized ensemble system for predicting mechanical strength of reinforced concrete materials

Contact Info

Product

Resources

About