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Crack identification in hydro-mechanical systems with applications to gravity water dams

机译:液压机械系统中的裂纹识别及其在重力水坝中的应用

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This article investigates an inverse problem for hydro-mechanically coupled systems. The task is to identify damaged zones in water dams out of combined hydrologic and mechanical measurements. Even though water dams are generally well monitored, there is little data available to precisely describe the fluid and stress fields in the structure due to inhomogeneous distributions of the material. Over the lifetime of the dams, which can exceed 100 years, the condition of the structures may change remarkably due to aging, chemical weathering and cracking. Highly fissured regions may arise. Our goal is to identify the damaged zones by comparing the numerically computed fluid and stress fields with measurements along the boundaries. The identification is shown to be an ill-posed problem. For the inversion, regularizing iterative methods need to be applied, in which modified implementations of the Landweber method are used. The computation of the adjoint of the linearization of the parameter-to-solution mapping is done analytically. Due to the consideration of a multi-field problem, numerical results show that the identification results are significantly improved compared to the results of single-field problems.
机译:本文研究了液力耦合系统的逆问题。任务是从水文和机械综合测量中识别出水坝中受损的区域。尽管通常对水坝进行很好的监控,但由于材料的不均匀分布,很少有数据可用来精确描述结构中的流体场和应力场。在大坝的使用寿命(可能超过100年)中,由于老化,化学风化和开裂,结构的状况可能会发生显着变化。可能会出现高度裂缝的区域。我们的目标是通过将数值计算的流体场和应力场与沿边界的测量值进行比较,以识别受损区域。身份证明是一个不适定的问题。对于反演,需要应用正则化迭代方法,其中使用了Landweber方法的修改后的实现。参数到解映射的线性化的伴随关系的计算是通过解析完成的。由于考虑了多场问题,数值结果表明,与单场问题相比,识别结果得到了显着改善。

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