Digital-Twins of composite aerostructures towards Structural Health Monitoring

Dimitrios P Milanoski, G. Galanopoulos, T. Loutas
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引用次数: 4

Abstract

The present work is primarily dedicated to the development and validation of a Digital Twin representative of an aeronautical structure. A finite element model is thus created to simulate the structural response of a composite single-stringer panel under compressive loading. Quasi-static tests are conducted and health monitoring techniques, i.e. displacement and strain measurements via digital image correlation and fiber Bragg grating sensors respectively, are utilized. The mechanical response of the model presents very good agreement with the experimental evidence. The validated model is then exploited, augmented by exogenous details, i.e. external loading, to train a surrogate mathematical model. The resultant surrogate maps efficiently the Digital Twin strains with respect to the load. This advantage is envisaged by the Digital-Twin concept where realtime data flowing from the physical twin would be used to detect the presence of skin-to-stringer disbonds. The proposed methodology is tested for the case of an artificially disbonded panel, subjected to block loading compression-compression fatigue, utilizing static strains periodically acquired during several quasi-static test intervals.
面向结构健康监测的复合材料航空结构数字孪生
目前的工作主要致力于开发和验证航空结构的数字孪生代表。因此,建立了一个有限元模型来模拟复合材料单弦板在压缩载荷下的结构响应。进行了准静态测试,并利用了健康监测技术,即分别通过数字图像相关和光纤光栅传感器进行位移和应变测量。模型的力学响应与实验结果吻合较好。然后利用经过验证的模型,通过外生细节(即外部负载)进行增强,以训练代理数学模型。由此产生的代理映射有效地数字孪生应变相对于负载。数字孪生概念设想了这一优势,其中来自物理孪生的实时数据将用于检测皮肤到弦的分离。该方法在人工剥离面板的情况下进行了测试,该面板受到块加载压缩-压缩疲劳,利用在几个准静态测试间隔期间周期性获得的静态应变。
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