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The Application of Modal Testing for Non-destructive Material Identification of a Car Seat Frame | ||
| Journal of Computational Applied Mechanics | ||
| دوره 52، شماره 1، خرداد 2021، صفحه 61-68 اصل مقاله (422.93 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/jcamech.2020.314803.574 | ||
| نویسندگان | ||
| Mohammad Sedaghati؛ Laleh Fatahi* ؛ Shapour Moradi | ||
| Department of Mechanical Engineering, Engineering Faculty, Shahid Chamran University of Ahvaz, Ahvaz, Iran | ||
| چکیده | ||
| Material properties of a structure can be estimated using destructive and non-destructive methods. Experimental vibration data of the structure can be used to conduct a non-destructive procedure to identify material properties. In this research, experimental modal parameters obtained from modal testing are utilized to estimate the Young’s modulus and the density of different components of a car seat frame. To do so, the finite element model of the structure is constructed and the modal parameters are evaluated by performing modal analysis. The obtained modal parameters are then used in an inverse identification procedure and compared with the experimental counterparts to estimate the material properties of the structure in an optimization framework. The objective function is defined by comparing the numerical and experimental natural frequencies where the material properties are considered as the design parameters of the optimization process. To find the optimum design parameters, the response surface optimization technique is employed to alleviate the computational costs of direct optimization. To this end, the design of experiment method using the Box-Behnken design is conducted to create the design points. The kriging method is then utilized to construct the response surfaces. Finally, the nonlinear programming quadratic Lagrangian method is employed to evaluate the best estimations for the material properties using the response surface optimization method. | ||
| کلیدواژهها | ||
| Car Seat Frame؛ Material Identification؛ Mechanical Vibration؛ Modal Analysis؛ Response Surface Optimization | ||
| مراجع | ||
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[1] J. H. Tam, Z. C. Ong, Z. Ismail, B. C. Ang, and S. Y. Khoo, Identification of material properties of composite materials using nondestructive vibrational evaluation approaches: A review, Mech. Adv. Mater. Struct., Vol. 24, No. 12, pp. 971–986, 2017.
[2] Y. Shi, H. Sol, and H. Hua, Material parameter identification of sandwich beams by an inverse method, J. Sound Vib., Vol. 290, No. 3–5, pp. 1234–1255, 2006.
[3] J. H. Tam, Z. C. Ong, Z. Ismail, B. C. Ang, S. Y. Khoo, and W. L. Li, Inverse identification of elastic properties of composite materials using hybrid GA-ACO-PSO algorithm, Inverse Probl. Sci. Eng., Vol. 26, No. 10, pp. 1432–1463, 2018.
[4] G. F. Gomes, Y. A. D. Mendez, P. da S. L. Alexandrino, S. S. da Cunha, and A. C. Ancelotti, A review of vibration based inverse methods for damage detection and identification in mechanical structures using optimization algorithms and ANN, Arch. Comput. Methods Eng., Vol. 26, No. 4, pp. 883–897, 2019.
[5] J. H. Tam, Identification of elastic properties utilizing non-destructive vibrational evaluation methods with emphasis on definition of objective functions: a review, Struct. Multidiscip. Optim., pp. 1–34, 2020.
[6] S. Syngellakis and R. Setiawan, Vibration tests and metamodelling for composite material characterization, WIT Trans. Eng. Sci. Characterisation VI, Vol. 77, pp. 113–125, 2013.
[7] J. H. Tam, Z. C. Ong, and K. W. Ho, Composite material identification using a two-stage meta-heuristic hybrid approach incorporated with a two-level FRF selection scheme, J. Sound Vib., Vol. 456, pp. 407–430, 2019.
[8] R. Viala, V. Placet, and S. Cogan, Identification of the anisotropic elastic and damping properties of complex shape composite parts using an inverse method based on finite element model updating and 3D velocity fields measurements (FEMU-3DVF): Application to bio-based composite violin soundboard, Compos. Part A Appl. Sci. Manuf., Vol. 106, pp. 91–103, 2018.
[9] S. L. C. Ferreira et al., Box-Behnken design: an alternative for the optimization of analytical methods, Anal. Chim. Acta, Vol. 597, No. 2, pp. 179–186, 2007.
[10] J. D. Martin and T. W. Simpson, Use of kriging models to approximate deterministic computer models, AIAA J., Vol. 43, No. 4, pp. 853–863, 2005.
[11] SolidWorks. Dassault Systemes Inc, 2019.
[12] Ansys, Release 19.0 Theory Guide, ANSYS Inc, 2019.
[13] K. Schittkowski, NLPQL: A FORTRAN subroutine solving constrained nonlinear programming problems, Ann. Oper. Res., Vol. 5, No. 2, pp. 485–500, 1986.
[14] S. Sakata, F. Ashida, and M. Zako, Structural optimization using Kriging approximation, Comput. Methods Appl. Mech. Eng., Vol. 192, No. 7–8, pp. 923–939, 2003.
[15] R. J. Allemang and D. L. Brown, A complete review of the complex mode indicator function (CMIF) with applications, in Proceedings of ISMA International Conference on Noise and Vibration Engineering, Katholieke Universiteit Leuven, Belgium, 2006, pp. 3209–3246. | ||
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