scholarly journals Prediction of effective moment of inertia for hybrid FRP-steel reinforced concrete beams using the genetic algorithm

2017 ◽  
Vol 2 (1) ◽  
pp. 15-23 ◽  
Author(s):  
A. Kheyroddin ◽  
F. Maleki ◽  
◽  
Keyword(s):  
Genetic Algorithm ◽  
Reinforced Concrete ◽  
Concrete Beams ◽  
Moment Of Inertia ◽  
Reinforced Concrete Beams ◽  
Steel Reinforced Concrete ◽  
Effective Moment ◽  
Effective Moment Of Inertia

Rational model for calculating deflection of reinforced concrete beams and slabs

2007 ◽  
Vol 34 (8) ◽  
pp. 992-1002 ◽  
Author(s):  
Peter H Bischoff
Keyword(s):  
Reinforced Concrete ◽  
Concrete Beams ◽  
Moment Of Inertia ◽  
Reinforced Concrete Beams ◽  
Beam Deflection ◽  
Rational Approach ◽  
Steel Reinforced Concrete ◽  
Rational Expression ◽  
Effective Moment ◽  
Effective Moment Of Inertia

Deflection control is an important performance criterion that needs to be satisfied to ensure serviceability of the structure for its intended use. The extent of cracking and amount of reinforcement affects the flexural rigidity, EI, of a reinforced concrete member and both the Canadian concrete design standard (CSA A23.3-04) and ACI Building Code (ACI 318-05) use an effective moment of inertia, Ie, that was originally proposed by Branson to compute beam deflection. This is an empirically derived equation that works well within a narrow range of limits corresponding to steel-reinforced concrete beams with a reinforcing ratio between 1% and 2%. However, the equation underestimates deflection for steel-reinforced concrete beams and slabs with a reinforcing ratio less than 1% and for most beams reinforced with low-modulus, fibre-reinforced-polymer (FRP) bars. Deflection of slender tilt-up wall panels can also be underestimated with Branson's equation. This paper provides an explanation of why the Branson equation does not always work well in predicting deflection, and presents a rational approach to develop an alternative expression for the effective moment of inertia that works equally well for both steel- and FRP-reinforced concrete at all reinforcing ratios. A rational expression is also introduced for continuous beams that uses an averaged moment of inertia, Ie,avg, to calculate beam deflection. Changes are included in a proposed revision to deflection prediction requirements specified in clause 9.8 of CSA A23.3-04.Key words: reinforced concrete, deflection, effective moment of inertia, serviceability.

scholarly journals Prediction of Deflection of Reinforced Concrete Beams Strengthened with Fiber Reinforced Polymer

Materials ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1367 ◽  
Author(s):  
Daugevičius ◽  
Valivonis ◽  
Skuturna
Keyword(s):  
Reinforced Concrete ◽  
Concrete Beams ◽  
Moment Of Inertia ◽  
Reinforced Concrete Beams ◽  
Fiber Reinforced Polymer ◽  
Fiber Reinforced ◽  
Simple Method ◽  
Reinforced Polymer ◽  
Effective Moment ◽  
Effective Moment Of Inertia

The article analyses the calculation of the deflection of reinforced concrete beams strengthened with fiber reinforced polymer. This paper specifically focuses on estimating deflection when the yielding of reinforcement is reached. The article proposes a simple method for calculating deflection that was compared with the experimentally predicted deflection. The carried out comparison has showed that the proposed method is suitable not only for the strengthened beams but also for the reinforced concrete beams with a varying reinforcement ratio. The suggested calculation method is based on the effective moment of inertia, such as the one introduced in the ACI Committee 318 Building Code Requirement for Structural Concrete (ACI318). The development of deflection was divided into three stages, and equations for the effective moment of inertia were proposed considering separate stages. In addition, the put forward equations were modified attaching additional relative coefficients evaluating a change in the depth of the neutral axis.

Prediction Scheme of Torsional Strength of Reinforced Concrete Beam

2012 ◽  
Vol 214 ◽  
pp. 306-310
Author(s):  
Han Chen Huang
Keyword(s):  
Genetic Algorithm ◽  
Reinforced Concrete ◽  
Concrete Beam ◽  
Concrete Beams ◽  
Reinforced Concrete Beam ◽  
Reinforced Concrete Beams ◽  
Ann Model ◽  
Torsional Strength ◽  
Prediction Scheme ◽  
Optimal Network

This study proposes a artificial neural network with genetic algorithm (GA-ANN) for predicting the torsional strength of reinforced concrete beam. Genetic algorithm is used to the optimal network structure and parameters. A database of the torsional failure of reinforced concrete beams with a rectangular section subjected to pure torsion was obtained from existing literature for analysis. This study compare the predictions of the GA-ANN model with the ACI 318 code used for analyzing the torsional strength of reinforced concrete beam. The results show that the proposed model provides reasonable predictions of the ultimate torsional strength of reinforced concrete beams and offers superior torsion accuracy compared to that of the ACI 318-89 equation.

Sign in / Sign up

Export Citation Format

Share Document