4.6 Article

Variable Thickness Strain Pre-Extrapolation for the Inverse Finite Element Method

期刊

SENSORS
卷 23, 期 3, 页码 -

出版社

MDPI
DOI: 10.3390/s23031733

关键词

inverse Finite Element Method; iFEM; shape sensing; composite materials; CFRP; GFRP; SHM

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The inverse Finite Element Method (iFEM) is widely used in the field of Structural Health Monitoring (SHM). It can reconstruct the displacement field of a beam or shell structure independently of external loading conditions and material properties based on sparse strain measurements. However, the iFEM requires triaxial strain measurements, which are expensive and impractical in real-world applications. To address this issue, pre-extrapolation techniques have been developed to reduce the number of required sensors. However, for structures with regions of different thicknesses, separate extrapolation is needed due to thickness-induced discontinuities in the strain field. This paper proposes a novel method that extrapolates the measured strain field in a thickness-normalized space, effectively reducing the costs of iFEM-based SHM systems.
The inverse Finite Element Method (iFEM) has recently gained much popularity within the Structural Health Monitoring (SHM) field since, given sparse strain measurements, it reconstructs the displacement field of any beam or shell structure independently of the external loading conditions and of the material properties. However, in principle, the iFEM requires a triaxial strain measurement for each inverse finite element, which is seldom feasible in practical applications due to both costs and cabling-related limitations. To alleviate this problem several techniques to pre-extrapolate the measured strains have been developed, so that interpolated or extrapolated strain values are inputted to elements without physical sensors: the benefit is that the required number of sensors can be reduced. Nevertheless, whenever the monitored components comprise regions of different thicknesses, each region of constant thickness must be extrapolated separately, due to thickness-induced discontinuities in the strain field. This is the case in many practical applications, especially those concerning fiber-reinforced composite laminates. This paper proposes to extrapolate the measured strain field in a thickness-normalized space, where the thickness-induced trends are removed; this novel method can significantly decrease the number of required sensors, effectively reducing the costs of iFEM-based SHM systems. The method is validated in a simple but informative numerical case study, highlighting the potentialities and benefits of the proposed approach for more complex application scenarios.

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