The transient nature of dislocation slip during plastic deformation makes it challenging to track their spatio-temporal evolution from classical measurements. Here, we develop a data assimilation approach to solve the inverse problem of reconstructing the dislocation slip evolution with high spatio-temporal resolution from their elastodynamic displacement signatures. The approach utilizes high-frequency displacement measurements that can be obtained through acoustic-emission sensing or laser interferometry. We employed a total-variation-regularized algorithm to reconstruct the underlying dislocation activities from the acquired displacements. To rigorously assess the capability of the reconstruction algorithm, we acquire the elastodynamic displacement measurements using discrete dislocation elastodynamics simulations as a surrogate for experiment. Our reconstruction quality demonstrates that this approach can accurately capture the underlying evolution of dislocation slip at unprecedented spatio-temporal resolutions beyond conventional defect imaging techniques. The prospective experimental implementation of our reconstruction approach holds promise for providing new understandings into the plastic deformation of advanced materials.

中文翻译：

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通过同化弹性动力学位移特征重建位错滑移演化


塑性变形过程中位错滑移的瞬态性质使得从经典测量中跟踪它们的时空演变变得具有挑战性。在这里，我们开发了一种数据同化方法，以解决从其弹性动力学位移特征中以高时空分辨率重建位错滑演化的逆问题。该方法利用可通过声发射传感或激光干涉测量获得的高频位移测量。我们采用全变分正则化算法从获得性位移中重建潜在的位错活动。为了严格评估重建算法的能力，我们使用离散位错弹性动力学模拟作为实验的替代物来获得弹性动力学位移测量值。我们的重建质量表明，这种方法可以以前所未有的时空分辨率准确捕捉位错滑移的潜在演变，这是传统缺陷成像技术无法比拟的。我们的重建方法的前瞻性实验实施有望为先进材料的塑性变形提供新的理解。