问题描述:
本模型中,L50角钢的覆盖项次轴有效长度系数改为0.64后,主轴长细比却从290.6变成了185.984,如下所示,程序计算是否有误?
![](/kindeditor/attached/image/20231214/20231214115220_2420.png)
图1 调整前
![](/kindeditor/attached/image/20231214/20231214115236_4324.png)
图2 调整后
解答:
角钢的设计涉及两套坐标轴,即图3左图所示与肢边平行的2、3局部轴(称为形心轴),以及图3右图所示的x、y形心主轴,关于这两套坐标轴的定义可参考“角钢局部轴与形心主轴对设计细节影响”。
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)
图3 角钢坐标轴
在设计细节中可以看见,程序输出了4个回转半径,分别为对局部2轴的回转半径i22、对局部3轴的回转半径i33、对强轴的回转半径i max和对弱轴的回转半径i min。
![](/kindeditor/attached/image/20231214/20231214115502_2379.png)
图4 回转半径
程序对角钢构件的设计(包括长细比的验算)均基于形心主轴完成。由于角钢计算长细比时使用的是对形心主轴的回转半径,而覆盖项中的主、次轴指的是平行肢边的局部轴(即截面定义中的2、3轴),两者不一致,所以当通过覆盖项指定主轴和次轴的无支撑长度系数和计算长度系数时,程序无法直接判断这些系数与强、弱轴之间的关系。因此,程序采用最不利的方式计算,即取主轴和次轴方向两者中较大的L0,回转半径取小值(即i
min),计算得到lo/i,主轴和次轴均按最不利长细比输出。
本例手算过程如下图所示,计算结果与程序输出一致。
![](/kindeditor/attached/image/20231214/20231214115543_1541.png)
(a)调整前
![](/kindeditor/attached/image/20231214/20231214115619_9184.png)
(b)调整后
图5 长细比手算过程