Genetic programming in the simulation of Frp-to-concrete patch-anchored joints

被引:16
|
作者
Kalfat, R. [1 ]
Nazari, A. [1 ]
Al-Mahaidi, R. [1 ]
Sanjayan, J. [1 ]
机构
[1] Swinburne Univ Technol, Fac Engn & Ind Sci, Hawthorn, Vic 3122, Australia
关键词
FRP; Concrete; Anchorage; Genetic algorithm; Bidirectional fiber; Bond; PERFORMANCE; STRENGTH; BEAMS; PREDICTION; IMPROVE;
D O I
10.1016/j.compstruct.2015.12.005
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
Although fiber reinforced polymer composites (FRPs) have proven to be one of the most efficient materials for strengthening existing reinforced concrete (RC) structures against various loading actions, premature debonding remains the major factor limiting their full utilization. Experiments have demonstrated that anchorage systems such as bidirectional fiber patch anchors are an effective method to improve the bond performance of FRP when bonded to concrete substrates and they can be applied to existing strengthening systems to achieve a given level of strengthening using less material. The present research aims to use available experimental data on patch-anchored joints to develop a new anchorage strength model using genetic programming. The model incorporates a number of input parameters which have been found to influence the strength of the anchor: concrete strength, laminate thickness, laminate width, patch anchor size and strength of adhesive. The genetically programmed model is compared with predictions from a semi-empirically derived model and provides less error and better correlations with the available data. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:305 / 312
页数:8
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