abaqus进行3D复合材料模拟总是报错THE PARAMETER COMPOSITE CAN Not ????
本帖最后由 tthaotianqi 于 2017-10-27 16:25 编辑abaqus 进行复合材料3D 模拟，使用子程序
建模方式是 切割分层+composite layup，C3D8R
然后提交计算后，总是报错
THE PARAMETER COMPOSITE CAN NOT BE USED IN Abaqus/Explicit.
THE PARAMETER COMPOSITE CAN NOT BE USED IN Abaqus/Explicit.
THE PARAMETER COMPOSITE CAN NOT BE USED IN Abaqus/Explicit.
现在还没找到原因
【并不是复合材料铺层方向的问题】
大侠们遇没遇到这样的问题？都是怎么解决的？
多谢多谢http://muchongimg.xmcimg.com/data/emuch_bbs_images/smilies/hand.gifhttp://muchongimg.xmcimg.com/data/emuch_bbs_images/smilies/hand.gifhttp://muchongimg.xmcimg.com/data/emuch_bbs_images/smilies/hand.gifhttp://muchongimg.xmcimg.com/data/emuch_bbs_images/smilies/hand.gif
data:image/png;base64,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**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
ding ding 不要沉 不要沉 ding ding 错误说的那么明显了，显示分析是不适用于composite layup建模方式的，只能用壳单元或者连续壳单元 筑梦丶小丑 发表于 2017-11-3 21:31
错误说的那么明显了，显示分析是不适用于composite layup建模方式的，只能用壳单元或者连续壳单元 ...
composite layup 建模+ C3D8R +VUMAT 也不能用explicit ？？ tthaotianqi 发表于 2017-11-3 22:49
composite layup 建模+ C3D8R +VUMAT 也不能用explicit ？？
问题出在layup，layup不适用于显示分析 筑梦丶小丑 发表于 2017-11-6 19:48
问题出在layup，layup不适用于显示分析
多谢 tthaotianqi 发表于 2017-11-7 13:05
多谢
准确地说是solid和layup结合时不能用显式
筑梦丶小丑 发表于 2017-11-7 13:41
准确地说是solid和layup结合时不能用显式
abaqus的大bug 筑梦丶小丑 发表于 2017-11-7 13:41
准确地说是solid和layup结合时不能用显式
用material>section>assign section 的方式建模，其中section使用 solid+composite 也报同样的错，这种方式也不行吗
tthaotianqi 发表于 2017-11-9 16:22
用material>section>assign section 的方式建模，其中section使用 solid+composite 也报同样的错，这种方 ...
老老实实用壳单元吧，而且在这方面连续壳单元貌似和实体单元没什么太大区别 再顶一下 如果您有ABAQUS使用中的疑问或想凭借技术服务来赚取咨询费用，那快快来加入悬赏群吧。悬赏群吧采用的是支付技术咨询费用模式，不仅您提出的技术问题能通过自定悬赏来得到快速响应，而且每一个技术人都能自由提供有价技术服务。悬赏群吧的目的是促进CAE技术在整个行业中的有效交流融合与进步，CAE的小伙伴们快来共同努力吧。
Abaqus航天领域悬赏交流QQ群744086061
Abaqus航空领域悬赏交流QQ群748276158
Abaqus车辆领域悬赏交流QQ群748811457
Abaqus机械领域悬赏交流QQ群750326187
Abaqus建筑领域悬赏交流QQ群748503960
Abaqus桥梁领域悬赏交流QQ群748317597
Abaqus水利领域悬赏交流QQ群750886708
Abaqus岩土领域悬赏交流QQ群469995008
Abaqus船海领域悬赏交流QQ群748303708
Abaqus风电领域悬赏交流QQ群751894613
Abaqus石化领域悬赏交流QQ群752874287
Abaqus电子领域悬赏交流QQ群283693543
Abaqus生物领域悬赏交流QQ群750685324
Abaqus焊接领域悬赏交流QQ群753060195
Abaqus二次开发悬赏交流QQ群750348858
Abaqus冲击爆炸悬赏交流QQ群753048402
Abaqus加工成型悬赏交流QQ群750354969
Abaqus损伤断裂悬赏交流QQ群722607791
Abaqus拓扑优化悬赏交流QQ群651298198
可是我看到技术邻上，有这么做的啊，用的子程序，com-layup 楼主的问题解决了吗？ 我也遇到这个问题了，C3D8R+VUMAT+Layup或composite截面，报错，请大神帮忙解答，谢谢！
页:
[1]