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STATISTICAL CHARACTERISATION OF B_2 FOR NUCLEAR PIPE BENDS SUBJECTED TO OUT-OF-PLANE MOMENT

机译:平面外弯矩对核管的B_2的统计表征

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Among the different flexure modes for nuclear pipe bends, the out-of-plane bending is the most complex. In this mode, pipe bends are subjected to both bending and torsion. Geometric nonlinearity plays an important role in the collapse behaviour of pipe bends. The ASME B&PV Code Section Ⅲ incorporates these effects of geometric nonlinearity by using stress indices B_1 and B_2 in the general design equation for nuclear pipe bends and elbows. To formulate a reliability-based load and resistance factor design LRFD equation for the design of nuclear pipe bends, it is essential to develop statistical models of these stress indices. The statistical characterisation of primary stress index B_2 for bending of thin-shell stainless steel 90° pipe bends subjected to out-of-plane moment is presented in this paper. The ASME code expression for B_2 is modified and a random variable K is introduced instead of the constant numerator value in this expression to consider geometric uncertainties. A nonlinear finite element analysis is performed to find the collapse moment for a pipe bend. The collapse moment for each specimen is obtained from the maximum moment versus end rotation plot, using the twice-elastic-slope method. B_2 is calculated from this collapse moment. This process is repeated on a Monte Carlo simulation based framework, where the parameters describing the pipe bend geometry are considered to be random variables. The statistics of K are evaluated for various nominal dimensions. The overall mean of K is found to be almost the same as the code specified constant value.
机译:在核管弯曲的不同弯曲模式中,平面外弯曲最为复杂。在这种模式下,弯管同时受到弯曲和扭曲。几何非线性在弯管的倒塌行为中起着重要作用。 ASME B&PV规范第Ⅲ部分通过在核管弯头和弯头的通用设计方程中使用应力指数B_1和B_2来考虑几何非线性的这些影响。为了制定用于核管弯头设计的基于可靠性的载荷和阻力因子设计LRFD方程,必须开发这些应力指标的统计模型。提出了薄壳不锈钢90°弯管在平面外弯矩作用下弯曲的主要应力指标B_2的统计特性。修改了B_2的ASME代码表达式,并引入了一个随机变量K而不是常数分子值来考虑几何不确定性。进行非线性有限元分析以找到弯管的弯矩。使用两次弹性斜率法,从最大力矩与端部旋转图获得每个样品的坍塌力矩。 B_2是从该崩溃时刻计算出来的。在基于蒙特卡洛模拟的框架上重复此过程,在该框架中,描述弯管几何形状的参数被认为是随机变量。针对各种标称尺寸评估K的统计量。发现K的总平均值几乎与代码指定的常数相同。

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