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Dynamic Reliability Assessment of Multi-cracked Structure under Fatigue Loading via Multi-State Physics Model

机译:多状态物理模型疲劳载荷下多破裂结构动态可靠性评价

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The structure strength abruptly decreases due to the propagation of multiple cracks. The crack interaction renders the multiple crack reliability problem being a challenging one. Most of the existing methods cannot fit the whole multiple crack growth process and quantify the crack linkup effects on reliability estimation. To address this problem, we extend the multi-state physics modelling and computation framework to evaluate the dynamic reliability of multi-cracked structure via implementing piecewise deterministic Markov processes (PDMP). The proposed multi-state physics model (MSPM) incorporates the crack propagation state transitions and the Forman model that describes the crack growth rate within the states. For the former, the probability of the linkup of adjacent cracks is calculated to identify the multiple crack systems and define the discrete states of each system. For the latter, the Forman model is employed to calculate the crack growth rate within the states. Therefore, each multiple crack system in the structure can be quantified by PDMP and a Monte Carlo algorithm is presented to evaluate the corresponding dynamic reliability values. Ultimately, the dynamic reliability formulation of the multi-cracked structure is developed. The accuracy of the proposed approach is verified by using the sample data from the literature and simulation example.
机译:由于多个裂缝的传播,结构强度突然降低。裂缝相互作用使得多个裂缝可靠性问题成为一个具有挑战性的问题。大多数现有方法不能符合整个多重裂缝增长过程,并量化对可靠性估计的裂缝联系效应。为了解决这个问题,我们扩展了多状态物理建模和计算框架,以通过实现分段确定性马尔可夫进程(PDMP)来评估多破裂结构的动态可靠性。所提出的多状态物理模型(MSPM)包含裂缝传播状态转换和描述州内裂纹增长率的福尔文模型。对于前者,计算相邻裂缝链接的概率来识别多个裂缝系统并定义每个系统的离散状态。对于后者,使用Forman模型来计算州内的裂纹增长率。因此,结构中的每个多个裂缝系统可以通过PDMP量化,并且介绍了蒙特卡罗算法以评估相应的动态可靠性值。最终,开发了多裂纹结构的动态可靠性制定。通过使用来自文献和仿真示例的示例数据来验证所提出的方法的准确性。

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