The accurate design-oriented model for concrete confined with fiber-reinforced polymer (FRP) is important to provide safe design of this composite system. In this paper, the response surface model (RSM) is coupled with support vector regression (SVR) for developing a novel hybrid model, namely RSM-SVR, with the aim of predicting the ultimate condition of FRP-confined concrete. Predictions obtained by the proposed model were compared with those by six empirical models and two data-driven models of RSM and SVR for database containing 780-test column results with circular cross section. Statistical analysis reveals that the proposed RSM-SVR model predicts the compressive strength and corresponding axial strain of the concrete confined with FRPs more accurately in comparison with the existing models. The results also show that RSM-SVR and SVR models provide stable predictions of strength and strain enhancement ratios for lateral confining ratio of >1 while the other models exhibit chaotic model error. The high accuracy and stable predictions by the proposed model are achieved based on its high flexibility and robustness in capturing the effect of lateral confining pressure as the interaction between the concrete core and FRP jacket in comparison with the existing models.

纤维增强聚合物（FRP）约束的混凝土的精确面向设计的模型对于提供此复合系统的安全设计非常重要。本文将响应面模型（RSM）与支持向量回归（SVR）结合，以开发一种新型的混合模型，即RSM-SVR，以预测FRP约束混凝土的最终状态。对于包含780个具有圆形横截面的测试结果的数据库，将所提出的模型所获得的预测与六个经验模型以及两个数据驱动的RSM和SVR模型进行了比较。统计分析表明，与现有模型相比，所提出的RSM-SVR模型可以更准确地预测FRP约束混凝土的抗压强度和相应的轴向应变。结果还表明，对于侧向约束比> 1，RSM-SVR和SVR模型提供了强度和应变增强比的稳定预测，而其他模型则显示出混沌模型误差。与现有模型相比，该模型具有较高的灵活性和鲁棒性，可捕获侧向压力对混凝土芯与FRP护套之间的相互作用的影响，从而实现了高精度和稳定的预测。