A method for optical fiber impact localization and load history reconstruction of composite laminates

doi:10.19936/j.cnki.2096-8000.20240928.008

Abstract

Abstract: A method for identifying the impact response characteristics of composite laminates based on fiber Bragg grating sensors is proposed for typical aerospace composite laminates. Based on the discrete strain sensing information of fiber Bragg grating sensors, a composite laminate impact strain response inversion method based on the principle of distance reciprocal multiplication has been developed. Based on the sudden change characteristics of the impact response and combined with the extreme value comparison method, identify the position of the strain response peak corresponding to the impact load. On the basis of identifying the impact position, the Bayesian regularization method is proposed to reconstruct the impact load of composite laminates, effectively solving the ill posed problem caused by the ill posed pulse response matrix in conventional load history reconstruction. The experimental results show that the average error between the coordinates of the impact point and the identification point is about 13.00 mm. The average relative error within the effective action history of the reconstructed impact load is about 4.21%, and the relative error for identifying the peak load is 3.85%.

Key words: composite laminates, fiber bragg grating sensor, impact load position, load history reconstruction, the power of the reciprocal of distance, non negative bayesian regularization

CLC Number:

TB332

FENG Zhenhui, WANG Zhe, ZENG Jie, CHEN Binbin, FENG Chunle, ZHOU Fan. A method for optical fiber impact localization and load history reconstruction of composite laminates[J]. COMPOSITES SCIENCE AND ENGINEERING, 2024, 0(9): 52-56.

References

[1] SHARIF-KHODAEI Z, GHAJARI M, ALIABADI M H. Determination of impact location on composite stiffened panels[J]. Smart Materials & Structures, 2012, 77(10): 662-686.
[2] GHAJARI M, SHARIF-KHODAEI Z, ALIABADI M H, et al. Identification of impact force for smart composite stiffened panels[J]. Smart Materials and Structures, 2013, 22(8): 1-20.
[3] JANG B W, LEE Y G, KIM J H, et al. Real-time impact identification algorithm for composite structures using fiber Bragg grating sensors[J]. Structural Control & Health Monitoring, 2012, 19(7): 580-591.
[4] SAI Y, ZHAO X, WANG L, et al. Impact localization of CFRP structure based on FBG sensor network[J]. 光子传感器:英文版, 2020, 1(10): 88-96.
[5] RICKMAN S L, RICHARDS W L, CHRISTIANSEN E, et al. Micrometeoroid/orbital debris (MMOD) impact detection and location using fiber optic Bragg grating sensing technology[J]. Procedia Engineering, 2017, 4(479): 233-240.
[6] BALASUBRAMANIAN P, KAUSHIK V, ALTAMIMI S Y, et al. Comparison of neural networks based on accuracy and robustness in identifying impact location for structural health monitoring applications[J]. Structural Health Monitoring, 2023, 22(1): 417-432.
[7] SIMONE M, FRANCESCO C, SALVATORE B, et al. Impact source localisation in aerospace composite structures[J]. Smart Material Structures, 2017, 26(12): 1-10.
[8] KUNDU T, HAYATO N, NOBUO T. Acoustic source localization in anisotropic plates[J]. Ultrasonics, 2012, 52(6): 740-746.
[9] TRAN H, INOUE H. Development of wavelet deconvolution technique for impact force reconstruction: Application to reconstruction of impact force acting on a load-cell[J]. International Journal of Impact Engineering, 2018, 122: 137-147.
[10] LIU Y R, WANG L. Quantification, localization, and reconstruction of impact force on interval composite structures[J]. International Journal of Mechanical Sciences, 2023, 239: 107873.
[11] LAŠ V, ZEMČÍK R, KROUPA T, et al. Reconstruction of impact force on curved panel using piezoelectric sensors[J]. Procedia Engineering, 2012, 1(48): 367-374.
[12] REZAYAT A, DE PAUW B, LAMBERTI A, et al. Reconstruction of impacts on a composite plate using fiber Bragg gratings (FBG) and inverse methods[J]. Composite Structures, 2016, 149: 1-10.
[13] BEDNARSKA K, SOBOTKA P, WOLIN′SKI T R, et al. Hybrid fiber optic sensor systems in structural health monitoring in aircraft structures[J]. Materials, 2020, 13(10): 2249.
[14] XU B, HUANG J, XU X, et al. Ultrasensitive NO gas sensor based on the graphene oxide-coated long-period fiber grating[J]. ACS Applied Materials & Interfaces, 2019, 11(43): 40868-40874.
[15] 顾欣. 复合材料加筋结构分布式光纤静载与撞击监测技术[D]. 南京: 南京航空航天大学, 2020.
[16] 张洁, 段平. 地形因子对反距离加权插值方法最优距离指数的影响分析[J]. 地理科学, 2023, 43(7): 1281-1290.
[17] ZHANG E, ANTONI J, FEISSEL P. Bayesian force reconstruction with an uncertain model[J]. Journal of Sound & Vibration, 2012, 331(4): 798-814.
[18] LI Y X, WANG X Y, XIA Y, et al. Sparse bayesian technique for load identification and full response reconstruction[J]. Journal of Sound and Vibration, 2023, 553: 117669.
[19] REZAYAT A, DE PAUW B, et al. Reconstruction of impacts on a composite plate using fiber Bragg gratings (FBG) and inverse methods[J]. Composite Structures, 2016, 149: 1-10.