Probabilistic shear strength models for reinforced concrete deep beams

2014 ◽  
pp. 1163-1167
Author(s):  
T Wu ◽  
X Liu ◽  
B Lv ◽  
D Frangopol
Keyword(s):  
Shear Strength ◽  
Reinforced Concrete ◽  
Deep Beams ◽  
Strength Models

scholarly journals Shear Strength of Internal Reinforced Concrete Beam-Column Joints: Intelligent Modeling Approach and Sensitivity Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-19
Author(s):  
De-Cheng Feng ◽  
Bo Fu
Keyword(s):  
Shear Strength ◽  
Reinforced Concrete ◽  
Influence Factors ◽  
Regression Tree ◽  
Reinforced Concrete Beam ◽  
Gradient Boosting ◽  
Intelligent Modeling ◽  
Modeling Approach ◽  
Ensemble Machine Learning ◽  
Strength Models

In this paper, an intelligent modeling approach is presented to predict the shear strength of the internal reinforced concrete (RC) beam-column joints and used to analyze the sensitivity of the influence factors on the shear strength. The proposed approach is established based on the famous boosting-family ensemble machine learning (ML) algorithms, i.e., gradient boosting regression tree (GBRT), which generates a strong predictive model by integrating several weak predictors, which are obtained by the well-known individual ML algorithms, e.g., DT, ANN, and SVM. The strong model is boosted as each weak predictor has its own weight in the final combination according to the performance. Compared with the conventional mechanical-driven shear strength models, e.g., the well-known modified compression field theory (MCFT), the proposed model can avoid the complicated derivation process of shear mechanism and calibration of the involved empirical parameters; thus, it provides a more convenient, fast, and robust alternative way for predicting the shear strength of the internal RC joints. To train and test the GBRT model, a total of 86 internal RC joint specimens are collected from the literatures, and four traditional ML models and the MCFT model are also employed as comparisons. The results indicate that the GBRT model is superior to both the traditional ML models and MCFT model, as its degree-of-fitting is the highest and the predicting dispersion is the lowest. Finally, the model is used to investigate the influences of different parameters on the shear strength of the internal RC joint, and the sensitivity and importance of the corresponding parameters are obtained.

scholarly journals The shear strength of shear walls

1970 ◽  
Vol 3 (4) ◽  
pp. 148-162
Author(s):  
T. Paulay
Keyword(s):  
Shear Strength ◽  
Reinforced Concrete ◽  
Concrete Beams ◽  
Shear Walls ◽  
Shear Wall ◽  
Reinforced Concrete Beams ◽  
Research Projects ◽  
Deep Beams ◽  
Current Recommendation ◽  
The University

To enable a comparison between the shear strength of shear walls and that of reinforced concrete beams to be made, the behaviour of the latter is briefly reviewed. The findings of research projects, related to deep beams and the effects of repeated cyclic loading, are summarised. More detailed information on the shear strength of deep beams, tested at the University of Canterbury, is presented, Particular problems associated with four classes of typical shear walls of multi-storey structures are briefly highlighted. The current recommendation of the
 SEAOC code, as applied to shear walls, are critically examined and certain
anomalies, which may ensue from their interpretation, are illustrated. Areas of research, related to the full evaluation of reinforced concrete shear wall
 behaviour, are suggested. The paper concludes with a number of design recommendations which suggest themselves from this review.

Study on Mechanical Behaviors and Calculation of Shear Strength of Steel Truss Reinforced Concrete Deep Beams

2011 ◽  
Vol 243-249 ◽  
pp. 514-520
Author(s):  
Chun Yang ◽  
Ming Ji He ◽  
Jian Cai ◽  
Yan Sheng Huang ◽  
Yi Wu
Keyword(s):  
Shear Strength ◽  
Reinforced Concrete ◽  
Experimental Investigations ◽  
Deep Beam ◽  
Deep Beams ◽  
Steel Reinforced Concrete ◽  
Strut And Tie ◽  
Steel Truss ◽  
Mechanical Performances ◽  
Strut And Tie Model

Based on strut-and-tie model (STM) in deep beams, steel truss reinforced concrete (STRC) deep beam was developed. Experimental investigations of mechanical performances of STRC deep beams were carried out, and results show that STRC deep beam is of high ultimate bearing capacity, large rigidity and good ductility; Strut-and-tie force transference model is formed in STRC deep beams, and loads can be transferred in the shortest and direct way. Then Steel reinforced concrete (SRC) strut-and-tie model (SSTM) for determining the shear strength of STRC deep beams is proposed. The contribution of SRC diagonal strut, longitudinal reinforcements, stirrups and web reinforcements to the shear strength of STRC deep beams are determined with consideration of softened effects of concrete, and for safe consideration, superposition theory is employed for SRC struts. Computer programs are developed to calculate the shear strength of STRC deep beams and verified by experimental results.

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