The aim of the present paper is to compare the current design codes’ predictions for reinforced concrete (RC) T-beams with the alternative physical methods – namely, the compressive force path (CFP) method and artificial neural networks (ANNs). Therefore, two databases, for T-beams without stirrups and with stirrups, are developed using the available experimental studies. The comparative study on prediction (obtained from the American Concrete Institute and Eurocode 2, CFP and ANN models) shows that the predictions of the ANN model provide a closer fit to the experimental results; after ANN the predictions of the CFP method are close to the experimental results when compared with the counterpart physical model. Comparative studies are also conducted on the critical parameters for the behaviour of RC T-beams. Furthermore, a non-linear finite-element tool (i.e. Abaqus) is used to validate the prediction of the ANN and CFP model. The crack pattern from Abaqus exhibited the same mechanics, on which the CFP models are based.

中文翻译：

---

极限响应下T型梁响应预测模型的可靠性分析

本文的目的是将当前设计规范对钢筋混凝土 (RC) T 型梁的预测与替代物理方法（即压缩力路径 (CFP) 方法和人工神经网络 (ANN)）进行比较。因此，使用可用的实验研究开发了两个数据库，用于不带箍筋和带箍筋的 T 型梁。预测的比较研究（从​​美国混凝土协会和欧洲规范 2、CFP 和 ANN 模型获得）表明，ANN 模型的预测与实验结果更接近；在 ANN 之后，与对应的物理模型相比，CFP 方法的预测接近实验结果。还对 RC T 梁行为的关键参数进行了比较研究。此外，使用非线性有限元工具（即Abaqus）来验证ANN 和CFP 模型的预测。Abaqus 的裂纹模式展示了与 CFP 模型所基于的相同的机制。