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Microstructure Analyses and Multiscale Stochastic Modeling of Steel Structures Operated in Extreme Environment

机译:极端环境中钢结构的微观结构分析和多尺度随机造型

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The article primarily is concerned with the problem of damage accumulation and fracture modeling for steel structures operated at low temperature conditions. The inhomogeneity of the weld joints is other issue associated with the need to examining the microstructure and defects in steel at different scale levels. The next problem is that, extreme environment contains not only the extreme temperature conditions but phase transitions also, fluctuations in temperature, inappropriate in service and repair. Last factors have stochastic behavior and are even uncertain in nature. So these problems are observed and discussed in this paper as theoretical and experimental for building the multiscale model of structural damage accumulation, taking into account the following: the inhomogeneity of the weld, the low-temperature brittle-ductile transition for bcc steels, and the uncertainty factors estimation concept. The applications describe the locomotive tire lifetime estimation at low temperature conditions. The modeling approach is based on Kachanov-Rabotnov structural damage accumulation theory and stochastic crack growth modeling. Bayesian probability approach has been used for uncertainty factor estimation. The experimental part includes the internal friction study of low temperature transition mechanism for bcc steel, the mechanical tension and impact toughness tests for locomotive tire steel, and the low-cycling testing and microhardness estimation of mechanical properties for welded steel probes. The experimental testing shows the impact toughness drop at low temperature. The microstructural study for weld joints reveals the small cracks in heat affected zone, so the size and distance between such defects are used for stochastic modeling visualization of crack propagation and crack velocity estimation. The revealing mechanisms and proposed relationships could be used for theoretical and numerical modelling of damage accumulation and fracture in welded steel structures.
机译:本文主要涉及在低温条件下操作钢结构的损伤积累和骨折建模的问题。焊接接头的不均匀性是与在不同尺度水平上检查钢中的微观结构和缺陷的需要相关的其他问题。下一个问题是,极端环境不仅包含极端温度条件,而且相位过渡还包括温度波动,在服务和维修中不合适。最后的因素具有随机行为,甚至是不确定的。因此,本文观察并讨论了这些问题,作为构建结构损伤积累的多尺度模型的理论和实验,考虑到以下内容:焊缝的不均匀性,BCC钢的低温脆性延展性过渡,以及BCC钢的低温脆性转换不确定性因素估计概念。应用描述了低温条件下的机车轮胎寿命估计。建模方法是基于Kachanov-Rabotnov结构损伤积累理论和随机裂纹增长建模。贝叶斯概率方法已被用于不确定性因子估计。实验部分包括用于BCC钢的低温转变机制的内部摩擦研究,机车轮胎钢的机械张力和冲击韧性试验,以及焊接钢探针的机械性能的低循环试验和微硬度估计。实验测试显示了低温下的冲击韧性下降。焊接接头的微观结构研究揭示了热影响区中的小裂缝,因此这种缺陷之间的尺寸和距离用于随机建模的裂缝传播和裂纹速度估计。揭示机制和提出的关系可用于焊接钢结构损伤积累和骨折的理论和数值模型。

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