Thierry鼠 发表于 2013-6-19 09:43:27

midas 框架桥计算

小弟为了对一座城市景观框架桥(非预应力)进行计算,刚开始学习 midas civil ,想求助一下,在已知配筋的情况下验算受力,应该以梁单元还是板单元的形式建模?data:image/png;base64,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
如果用板单元建模,就无法输入截面钢筋
如果用梁单元建模,就不知道该如何加载
小弟是初学者,希望各位高手不吝赐教
file:///C:\Users\Administrator\AppData\Roaming\Tencent\Users\642945724\QQ\WinTemp\RichOle\65ZMM0FNNJD89RR2X%9HOGR.jpg
file:///C:\Users\Administrator\AppData\Roaming\Tencent\Users\642945724\QQ\WinTemp\RichOle\65ZMM0FNNJD89RR2X%9HOGR.jpg
file:///C:\Users\Administrator\AppData\Roaming\Tencent\Users\642945724\QQ\WinTemp\RichOle\65ZMM0FNNJD89RR2X%9HOGR.jpg


桥梁助工 发表于 2014-1-2 09:23:16

个人觉得板单元应该细化,你就用了七片板单元这样不行

deus_ex7 发表于 2015-7-3 15:46:50

梁单元也可以,只不过是顶板、底板、侧墙分别用梁单元建立,侧向考虑土弹簧支撑。最好用实体分析,更加直观。
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