effective moment of inertia of frp reinforced concrete beams
نویسندگان
چکیده
concrete beams reinforced with glass fiber reinforced polymer (gfrp) bars exhibit large deflections and crack widths as compared with steel reinforced concrete beams due to the low modulus of elasticity of gfrp bars. different studies show that aci 318 equation for the effective moment of inertia ie does not predict deflection well for frp reinforced concrete beams. the purpose of this paper is to propose new equations for estimating the effective moment of inertia of frp reinforced concrete beams based on genetic algorithm and experimental results. genetic algorithm is used for optimization of error function between experimental and analytical responses. in the experimental part of the study, nine beam specimens were manufactured and tested. the parameters of reinforcement ratio and concrete compressive strength were selected as the variables for the beam specimens. also fifty five beam specimens tested by other researchers were used for experimental database. in this paper, the effect of elastic modulus of frp bars, reinforcement ratio and the applied level of loading on the effective moment of inertia is taken into account. in addition, the proposed equations are compared with different code provisions and the existing models for predicting deflection of frp reinforced concrete beams. also, the calculated values by the proposed equations are compared with different test results. the experimental results correlated well with the values predicted by the proposed equations especially in high reinforcement ratios and high levels of loading.
منابع مشابه
An Equation for the Effective Moment of Inertia for Frp-reinforced Concrete Beams
The deflection of concrete beams reinforced with GFRP bars is higher than those which are reinforced with steel bars. The purpose of this paper is to propose a new equation for estimating the effective moment of inertia in FRP-reinforced concrete beams. This will be accomplished by using experimental results and the genetic algorithm approach. Genetic algorithm is used for optimizing the error ...
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Article history: Received 31 December 2010 Received in revised form 9 February 2011 Accepted 14 February 2011 Available online 24 March 2011
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عنوان ژورنال:
مهندسی عمران فردوسیجلد ۲۴، شماره ۲، صفحات ۲۰-۰
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