随机塑性框架的主导机制

L.K. Tang, R.E. Melchers
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引用次数: 4

摘要

在结构体系的可靠度分析中,通常假定构件的弹性性能是确定的,而荷载参数和(或)构件的阻力是随机的。理论上,在估计系统失效概率时必须考虑所有可能的失效模式。然而,在现实中,与结构体系的失效概率相比,其中许多失效模式发生的概率非常低,它们的贡献微不足道,因此可以忽略不计。因此,在系统可靠性计算中通常只考虑所谓的主导失效模式就足够了。对于由理想塑性或弹塑性材料构成的刚架,可靠性评估中所关注的主要破坏模式是从所有塑性破坏机制的集合中得出的。以前已经开发了几个经验程序来列举这些主导机制,并取得了不同程度的成功。虽然原则上有可能列举出与某些标准相关的所有主导模式,但在实践中,还没有一种方法被证明适用于大型框架,并且所确定的机制的有效性通常是不确定的。本文提出了一种适用于塑性框架的截短枚举法的改进方法。最后给出了一个算例,并与最近发展的其他方法进行了比较。结果表明,几乎所有的主导机制都可以成功地找到。所提出的程序可以系统地编程,并可用于估计大型结构体系的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dominant mechanisms in stochastic plastic frames

In structural system reliability analysis it is usually assumed that the elastic properties of the members are deterministic while the loading parameters and/or member resistances are assumed to be stochastic in nature. Theoretically, all potential modes of failure must be considered in an estimation of system failure probability. In reality, however, the probability of occurrence of many of these failure modes is so low, compared with the structural system failure probability, that they make only an insignificant contribution, and hence can be neglected. Thus it is usually sufficient to consider only the so-called dominant failure modes in a system reliability calculation.

For rigid frames composed of ideal plastic or elastic-plastic material the dominant failure modes of interest in the reliability assessment are drawn from the set of all plastic collapse mechanisms. Several empirical procedures have been previously developed to enumerate these dominant mechanisms with varying degree of success. Although in principle it is possible to enumerate all dominant modes relative to some criteria, in practice no method has yet proved to be applicable to large frames, and the validity of the identified mechanisms is often uncertain.

This paper proposes a modification of the existing truncated enumeration method (TEM) applied to plastic frames. An example is demonstrated, and the results compared to other methods recently developed. The results show that almost all the dominant mechanisms may be successfully found. The proposed procedure can be systematically programmed and may be applied to estimate reliability of large structural systems.

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