Reliability Analysis of Composite Structure Using ANSYS Software

Abstract:

ANSYS software has provided complete and accurate solutions for composite laminate analysis and provided a set of special elements for different composite structures such as laminated plates, beams, solid structures and stiffeners. Fiber composite materials have been widely used to critical components of aircrafts, automobiles, mechanical, and marine structures. Since uncertainties associated with geometric tolerances, material properties, and boundary conditions widely exist in practical engineering problems. The probability approach is the most popular way to quantify uncertain parameters and perform the reliability analysis. The paper researches on the reliability analysis of the composite panels using ANSYS software. The numerical example is given, it is shown that the response surface method (RSM) can reduce the computational efforts comparing with Monte Carlo simulation (MCS).

• Periodical: Advanced Materials Research (Volumes 945-949)
• Pages: 1155-1158
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.945-949.1155
• Online since: June 2014
• Authors: Wei Tao Zhao*, Feng Guo, Xiao Li
• Keywords: ANSYS, Composite Structure, Monte Carlo Simulation, Reliability Analysis, Response Surface Method (RSM)

References

[1] Ditlevsen O, Madsen HO: Structural reliability methods. (Wiley, Chischester, 1996).

[2] Thoft-Christensen P, Murotsu Y: Application of Structural Systems Reliability Theory (Springer, Berlin 1986).

DOI: 10.1007/978-3-642-82764-8

[3] An WG: The reliability analysis and optimization design of stochastic structural systems (Beijing University of aeronautics and astronautics Press, Beijing 2005).

[4] Bucher CG: Structural Safety, Vol. 7 (1990), p.57.

[5] Rajashekhar M R, Ellingwood B R: Structural Safety, Vol. 12 (1993), p.205.

[6] Kim S, Na S: Structural Safety Vol. 19(1997), p.3.

[7] Das PK, Zheng Y: Probabilistic Engineering Mechanics, Vol. 15 (2000), p.309.

[8] Gayton N, Bourinet JM, Lemaire M: Structural safety, Vol. 25 (2003), p.99.

[9] Kaymaz I, McMahon CA: Probabilistic Engineering Mechanics, Vol. 20 (2005), p.11.

[10] Duprat F, Sellier A: Probabilistic Engineering Mechanics, Vol. 21(2006), p.207.

[11] Youn BD, Choi KK: Computers & Structures, Vol. 82(2004), p.241.

[12] Lancaster P, Salkauskas K: Mathematics of Computation, Vol. 155(1981), p.141.

[13] Breitkpf P, Naceur H, Rassineux A, Villon P: Computers & Structures, Vol. 83(2005), p.1411.

[14] Bucher CG, Most T: Probabilistic Engineering Mechanics, Vol. 23(2008), p.154.