首页> 外文OA文献 >Nonlinear buckling analysis of the conical and cylindrical shells using the SGL strain based reduced order model and the PHC method
【2h】

Nonlinear buckling analysis of the conical and cylindrical shells using the SGL strain based reduced order model and the PHC method

机译:基于sGL应变的降阶模型和pHC方法对锥形和圆柱壳的非线性屈曲分析

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Thin-walled conical and cylindrical shells subjected to axial compression often show a snap-back response in the presence of buckling. Newton iterations based path-following methods cannot trace reliably the snap-back response due to the extremely sharp turning angle near the limit point, and the original Koiter–Newton method also meets difficulties to achieve a complete post-buckling response beyond the limit point. In this paper, the improved Koiter–Newton method is proposed to trace the post-buckling path of cylinders and cones, in the framework of the reduced-order modeling technique. The polynomial homotopy continuation (PHC) method is used to solve the lower-order nonlinear reduced order model reliably and efficiently. The simplified Green–Lagrange (SGL) kinematics which consider the stress redistribution after buckling are implemented into the construction of the reduced order model to produce accurate results for curved shells. The numerical results presented reveal that the improved method is a robust and efficient technology to achieve the entire nonlinear response for the snap-back case.
机译:受到轴向压缩的圆锥形和圆柱形薄壁壳体在出现屈曲时通常会表现出回弹响应。基于牛顿迭代的路径跟踪方法,由于在极限点附近的转角非常陡,因此无法可靠地跟踪回跳响应,原始的Koiter-Newton方法也遇到了难以在极限点之外获得完整的屈曲后响应的难题。本文提出了一种改进的Koiter-Newton方法,以在降阶建模技术的框架内跟踪圆柱和圆锥的后屈曲路径。多项式同伦连续(PHC)方法用于可靠,有效地求解低阶非线性降阶模型。考虑到屈曲后应力重新分布的简化格林-拉格朗日(SGL)运动学,被构建到降阶模型的构造中,以产生弯曲壳体的精确结果。数值结果表明,改进的方法是一种稳健而有效的技术,可以实现快速恢复情况下的整个非线性响应。

著录项

  • 作者

    Liang, Ke; Ruess, Martin;

  • 作者单位
  • 年度 2016
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号