无腹筋钢筋混凝土简支梁受剪特性的神经网络模型初探  

Dicussion on neural network models of shear behavior of reinforced concrete beams without stirrups

作　　者：郭伟[1] 刘兴远[1] 张力[1] 王跃文[1] 孙亮[1] 

机构地区：[1]后勤工程学院,重庆400016

出　　处：《四川建筑科学研究》2004年第1期32-34,37,共4页Sichuan Building Science

基　　金：重庆市科委应用基础项目资助(6839)

摘　　要：采用人工神经网络方法,分别探讨了均布荷载及两点加载下无腹筋钢筋混凝土简支梁的斜截面抗剪特性,建立了相应的模型,寻找到两种加载形式下钢筋混凝土简支梁的各种输入参数与实际抗剪承载力之间的关系。通过原始实验结果和理论模型分析结果的对比,表明了该模型的可行性及适用性。该模型的建立,可为我国的抗剪理论提供参考。The artificial neural networks method is used to discuss the shear behavior of the reinforced concrete beams without stirrups,which are under uniform-loading and two-point-loading,respectively.The two models are established to find the relativity of all kinds of input parameters and real shear strength under two type of loading forms.Comparing the results of theoretic models with the test data,in shows the reasonableness and applicability.The two models are looking forward to providing reference for the shear theory.

关 键 词：无腹筋钢筋混凝土 简支梁 神经网络模型 均布荷载 抗剪理论 

分 类 号：TU375.1[建筑科学—结构工程]