于 江,李盼臻,荣 彬,郝 彬
T形截面方钢管混凝土组合异形柱压弯承载力的神经网络方法研究
于 江,李盼臻,荣 彬,郝 彬
摘要:对T形截面方钢管混凝土组合异形柱压弯性能进行了有限元分析和试验研究,通过对所得结果进行对比分析,验证了有限元程序的可行性。此外,通过神经网络学习及承载力结果对比,验证了神经网络的可行性和精确性。并采用神经网络对T形截面方钢管混凝土组合异形柱压弯承载力影响因素进行了参数化分析。结果表明,承载力随着钢材强度、混凝土强度、钢管尺寸的增大而增大。
Abstract: The bending performance of T-section concrete-filled square steel tube special-shaped composite column is studied by ANSYS and experiments. Using the test results of ANSYS, the neural network is trained to get the bearing capacity. By comparing the results of the two bearing capacity, which indicates the error is small, the feasibility and accuracy of neural network has been verified. The factors of the bending performance of T-section concrete-filled square steel tube special-shaped composite column are conducted parametric analysis by using neural network. The results show that its bending bearing capacity increases as these factors such as steel strength, concrete strength, the size of steel tube column get bigger.
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