当前位置: X-MOL 学术Int. J. Steel Struct. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Structural Design for Roll-Formed Aluminium Alloy Perforated Channels Subjected to Interior-Two-Flange Web Crippling: Experimental Tests, Numerical Simulation, and Neural Network
International Journal of Steel Structures ( IF 1.1 ) Pub Date : 2023-03-02 , DOI: 10.1007/s13296-023-00722-6
Zhiyuan Fang , Krishanu Roy , James B. P. Lim

This study analyses the interior-two-flange (ITF) web crippling strength of roll-formed aluminum alloy lipped channels (RA channels) with web holes employing experimental testing, numerical modeling, and deep neural network (i.e., Deep belief Network, DBN). A total of 30 experimental tests on web crippling behavior were carried out, with the results utilized to validate a finite element (FE) model, developed in this study. The experimental results were compared to the data produced by the validated FE model, which was then used to train the DBN model. The results of the DBN prediction were shown to be around 5% more conservative than the FE results. In order to evaluate the effects of associated factors on the ITF web crippling strength of RA channels, a comprehensive parametric study was conducted using the DBN. The design guidelines that are currently available in the American Iron and Steel Institute (AISI 2016), the Australian and New Zealand Standards (AS/NZS 1997; AS/NZS (2018)), and the Eurocode (CEN 2007) were found to be unreliable while determining the ITF web crippling strength of RA channels. The DBN's predictions developed new formulae for calculating the web crippling strength reduction factors. After conducting a reliability study, it was found that the developed strength reduction factor equations are reliable when calculating the ITF web crippling strength of such perforated roll-formed aluminium alloy channels.



中文翻译:

内双法兰腹板轧制铝合金穿孔槽钢结构设计:实验测试、数值模拟和神经网络

本研究采用实验测试、数值建模和深度神经网络(即深度信念网络,DBN)分析了带腹板孔的轧制铝合金带唇通道(RA 通道)的内部双法兰 (ITF) 腹板抗弯强度. 总共进行了 30 次关于卷筒纸破坏行为的实验测试,结果用于验证本研究中开发的有限元 (FE) 模型。将实验结果与经过验证的有限元模型生成的数据进行比较,然后将其用于训练 DBN 模型。DBN 预测的结果显示比有限元结果保守约 5%。为了评估相关因素对 RA 通道的 ITF 网络削弱强度的影响,使用 DBN 进行了全面的参数研究。目前在美国钢铁协会 (AISI 2016)、澳大利亚和新西兰标准 (AS/NZS 1997;AS/NZS (2018)) 和欧洲规范 (CEN 2007) 中可用的设计指南被发现是在确定 RA 通道的 ITF 网络削弱强度时不可靠。DBN 的预测开发了用于计算腹板破坏强度折减系数的新公式。在进行可靠性研究后,发现在计算此类穿孔轧制铝合金通道的 ITF 腹板抗弯强度时,所开发的强度折减系数方程是可靠的。在确定 RA 通道的 ITF 网络削弱强度时,发现欧洲规范 (CEN 2007) 不可靠。DBN 的预测开发了用于计算腹板破坏强度折减系数的新公式。在进行可靠性研究后,发现在计算此类穿孔轧制铝合金通道的 ITF 腹板抗弯强度时,所开发的强度折减系数方程是可靠的。在确定 RA 通道的 ITF 网络削弱强度时,发现欧洲规范 (CEN 2007) 不可靠。DBN 的预测开发了用于计算腹板破坏强度折减系数的新公式。在进行可靠性研究后,发现在计算此类穿孔轧制铝合金通道的 ITF 腹板抗弯强度时,所开发的强度折减系数方程是可靠的。

更新日期:2023-03-03
down
wechat
bug