Semi-probabilistic approaches for action effects

Q3 Engineering
D. Novak, L. Novak, P. Spyridis
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引用次数: 0

Abstract

: The computational burden of Monte Carlo (MC) type simulation represents the main obstacle to the approach for time-consuming finite element (FE) computational models since it is not computationally feasible. Consideration of uncertainties, therefore, remains usually at the level of partial safety factors, the approach which is in most cases on the very conservative side. That is why alternative techniques of so-called safety formats are becoming more and more attractive recently. Methods focused on the Estimation of Coefficient of Variation (ECoV) of structural resistance have been developed and applied recently. They represent a compromise between the simple and in most cases conservative approach of partial safety factors and highly computationally demanding MC simulation. Semi-probabilistic methods have been applied for structural resistance assessment, but not for the action effects side. The paper shows the possibility of application of these methods for action effect – load side of safety margin. Selected efficient semi-probabilistic methods based on the ECoV method according to fib Model Code 2010 and an improved approach called Eigen ECoV, are utilized. The application of approaches for the assessment of concrete tunnel linings is shown.
作用效应的半概率方法
蒙特卡罗(MC)型模拟的计算负担是耗时的有限元(FE)计算模型方法的主要障碍,因为它在计算上不可行。因此,对不确定性的考虑通常停留在部分安全系数的水平上,这种方法在大多数情况下是非常保守的。这就是为什么所谓的安全格式的替代技术最近变得越来越有吸引力。近年来,以结构阻力变异系数(ECoV)估计为重点的方法得到了发展和应用。它们代表了简单且在大多数情况下保守的部分安全系数方法与高计算要求的MC模拟之间的折衷。半概率方法已被应用于结构阻力评估,但尚未应用于作用效应方面的评估。本文给出了这些方法应用于安全裕度荷载侧作用效应的可能性。根据fib模型代码2010,在ECoV方法的基础上选择了有效的半概率方法,并采用了改进的Eigen ECoV方法。介绍了该方法在混凝土隧道衬砌评价中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Gong Cheng Li Xue/Engineering Mechanics
Gong Cheng Li Xue/Engineering Mechanics Engineering-Mechanical Engineering
CiteScore
2.80
自引率
0.00%
发文量
10549
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