首页> 外文会议>ASME international design engineering technical conferences;DETC2009;Computers and information in engineering conference;CIE2009 >IMPROVED SENSITIVITY AND RELIABILITY ANALYSIS OF NONLINEAR EULER-BERNOULLI BEAM USING A COMPLEX VARIABLE SEMI-ANALYTICAL METHOD
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IMPROVED SENSITIVITY AND RELIABILITY ANALYSIS OF NONLINEAR EULER-BERNOULLI BEAM USING A COMPLEX VARIABLE SEMI-ANALYTICAL METHOD

机译:非线性可变EULER-BERNOULLI梁灵敏度和可靠性的复变分半解析法

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The semi-analytical method (SAM) has been reported serious accuracies in sensitivity analysis of structural elements such as frame, beam, plate elements because the finite difference method (FDM) used in the SAM is sensitive to the step size. The proposed semi-analytical complex variable method (SACVM) adopts the complex variable method (CVM) to avoid the accuracy problem and maintain the computational efficiency of the SAM. Various methods have been developed to improve the accuracy of the SAM in linear structural problems. However, a few methods address this accuracy problem for nonlinear cases. The paper applies the SACVM to a geometrical nonlinear Euler-Bernoulli beam to obtain the accurate sensitivity of finite element response. As an example application, the SACVM sensitivities are used to compute the reliability index of a defined limit state function for the nonlinear beam. The results reveal that the SACVM can always compute response sensitivity and system reliability consistently, accurately and efficiently. The method is also computationally efficient as it employs a semi-analytical approach. The SACVMis easily applicable and only requires minor modifications to existing finite element codes, therefore it has great application in practical problems.
机译:据报道,半分析方法(SAM)在结构元素(如框架,梁,板元素)的灵敏度分析中具有很高的精确度,因为SAM中使用的有限差分法(FDM)对步长敏感。提出的半解析复变量方法(SACVM)采用了复变量方法(CVM)来避免精度问题并保持SAM的计算效率。已经开发出各种方法来提高线性结构问题中SAM的精度。但是,有几种方法可以解决非线性情况下的精度问题。本文将SACVM应用于几何非线性Euler-Bernoulli梁,以获取有限元响应的精确灵敏度。作为示例应用程序,SACVM灵敏度用于计算非线性光束的定义极限状态函数的可靠性指标。结果表明,SACVM始终可以一致,准确和高效地计算响应灵敏度和系统可靠性。该方法还采用半分析方法,因此计算效率很高。 SACVM 它适用范围很广,只需要对现有的有限元代码进行少量修改,因此在实际问题中有很大的应用。

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