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Cleavage fracture modelling for RPV steels: Discrete model for collective behaviour of micro-cracks

机译:RpV钢的解理断裂模型:微裂纹集体行为的离散模型

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摘要

The ability to predict variations in cleavage fracture toughness behaviour of ferritic RPV steels, accounting for the effects of irradiation and defect geometry, is vital to safety assessment and life extension decisions. Local approaches to cleavage fracture offer a promising methodology to accomplish such calculations. However, the limited progress achieved by improving the local failure probability expression suggests that the methodology for calculating global cleavage might not be adequately representing real material. The basis for the existing methodology is the weakest-link assumption that all individual failure events are independent and non-interacting. Here an approach is considered which utilises a microstructure-informed model incorporating the experimental knowledge needed to postulate deterministic criteria for particle rupture and micro-crack propagation, whilst accounting for the probabilistic distribution of particle sizes. This is then used in a lattice model that can help detail the evolution of the formation of micro-cracks on global failure, therefore inferring the suitability of the weakest-link assumption. Predicting the probability of cleavage fracture requires such models, as the macroscopic cleavage phenomenon is governed by a number of micro-structural features. The material microstructure is represented by a regular lattice of truncated octahedral cells forming a computational sitebond model, with sites located at the cell centres and connected by two distinct sets of bonds. These bonds are modelled with structural beam elements, which represent all the possible relative deformations between coordinated sites. Particles of various sizes are distributed in the bonds, based on an experimentally determined distribution of cleavage initiating particles in RPV steel (Euro Material A). Although only elastic deformations are considered here, the results demonstrate that the interactions between individual failure events could potentially have a strong effect on the way global failure is reached. Nucleation of micro-cracks by rupturing second-phase particles affects their subsequent formation. In particular, it was found that once formed there is a reduced probability of further development of micro-cracks at particles outside the crack planes and an enhanced probability of formation at particles along the crack planes. This will therefore influence the distribution of micro-crack sizes that could in principle be used to calculate the global probability of failure, and could lead to substantially different distributions of particle sizes, then used in the current local approach methods. Copyright © 2013 by ASME.
机译:能够预测铁素体RPV钢的劈裂断裂韧性行为变化的能力(考虑到辐射和缺陷几何形状的影响)对于安全性评估和寿命延长决策至关重要。局部劈裂裂缝方法提供了一种有希望的方法来完成这种计算。但是,通过改善局部失效概率表达式所取得的有限进展表明,计算整体劈裂的方法可能无法充分代表真实物质。现有方法的基础是所有链接失败事件都是独立且互不影响的最弱链接假设。在这里考虑一种利用微结构信息模型的方法,该模型结合了为颗粒破裂和微裂纹扩展提出确定性标准所需的实验知识,同时考虑了粒径的概率分布。然后将其用于晶格模型,该模型可以帮助详细说明因整体故障而形成的微裂纹的演变,因此可以推断出最薄弱环节假设的适用性。预测分裂断裂的可能性需要这样的模型,因为宏观的分裂现象是由许多微观结构特征控制的。材料的微观结构由形成计算中心键模型的截短的八面体单元的规则晶格表示,其位点位于细胞中心并通过两组不同的键连接。这些键是用结构梁单元建模的,该结构梁单元代表了协作位置之间所有可能的相对变形。基于RPV钢(欧洲材料A)中断裂引发颗粒的实验确定分布,各种尺寸的颗粒分布在键中。尽管这里只考虑了弹性变形,但结果表明,单个失效事件之间的相互作用可能会对达到整体失效的方式产生重大影响。通过破裂第二相颗粒使微裂纹成核会影响其后续形成。特别地,发现一旦形成,在裂纹平面之外的粒子处进一步产生微裂纹的可能性降低,并且沿着裂纹平面的粒子处形成的可能性增加。因此,这将影响微裂纹尺寸的分布,该尺寸原则上可用于计算整体失效概率,并可能导致粒子尺寸的分布发生明显不同,然后用于当前的局部方法中。 ASME版权所有©2013。

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