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Geometric non-linear analysis of channel sections under end shortening, using different versions of the finite strip method

机译:使用不同版本的有限条法,对端部缩短下的通道截面进行几何非线性分析

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摘要

Two finite strip methods, namely the full-energy and the semi-energy FSM, are developed for predicting the geometrically non-linear response of channel sections with simply supported ends when subjected to uniform end shortening in their plane. The developed finite strip methods are then applied to analyze the post-local-buckling behaviour of some representative channel sections. The comparison of results revealed the fact that for the channel sections under study, the full-energy finite strip method is capable of predicting results with a greater degree of accuracy than that of the results obtained by the semi-energy finite strip method. This is due to the fact that a lower level of compressional stiffness is experienced in the case of the full-energy FSM results as compared to those observed in the case of semi-energy FSM. It is however worth noting that at the expense of slightly less accurate results, the current semi-energy analysis is benefiting from considerably less computer CPU time, due to the implementation of a fairly small number of degrees of freedom, as compared to the CPU time elapsed by the computer when the full-energy method is applied. It is noted that in the current semi-energy approach only one term is utilized, whereas several terms are implemented in the formulation of the full-energy method. Therefore, it is expected that the accuracy of the semi-energy approach will improve and correspondingly the required computer CPU time will increase if more than one term is utilized in its formulation.
机译:开发了两种有限的带状方法,即全能量和半能量FSM,用于预测在端部受到统一端部缩短的情况下,具有简单支撑端的通道截面的几何非线性响应。然后将开发的有限条方法应用于分析一些代表性通道截面的局部屈曲后行为。结果的比较表明,对于正在研究的通道截面,与半能量有限条形方法获得的结果相比,全能量有限条形方法能够更准确地预测结果。这是因为,与半能量FSM相比,全能量FSM结果的压缩刚度较低。但是,值得注意的是,与实施时间相比,由于实现了相当少量的自由度,因此当前的半能量分析受益于较少的计算机CPU时间,这是以精确度稍差的结果为代价的应用全能量方法时计算机经过的时间。注意,在当前的半能量方法中,仅使用了一个术语,而在全能量方法的公式中则使用了多个术语。因此,可以预期的是,如果在其公式中使用一个以上的术语,则半能量方法的精度将提高,并且相应地,所需的计算机CPU时间也将增加。

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