Solving imprecisely defined vibration equation of large membranes

Purpose Vibration of large membranes has great utility in engineering application such as in important parts of drums, pumps, microphones, telephones and other devices. So, to obtain a numerical solution of this type of problems is necessary and important. In general, in existing approaches, involved parameters and variables are defined exactly. Whereas in actual practice, it may contain uncertainty owing to error in observations, maintenance-induced error, etc. So, the main purpose of this paper is to solve this important problem numerically under fuzzy and interval uncertainty to have an uncertain solution and to study its behaviour. Design/methodology/approach In this study, the authors have considered a new approach is known as double parametric form of fuzzy number to model uncertain parameters. Along with this a semianalytical approach, i.e. variational iteration method, has been used to obtain uncertain bounds of the solution. Findings The variational iteration method has been successfully implemented along with the double parametric form of fuzzy number to find the uncertain solution of the vibration equation of a large membrane. The advantage of this approach is that the solution can be written in a power series or a compact form. Also, this method converges rapidly to obtain an accurate solution. Various cases depending on the functional value involved in the initial conditions have been studied and the behaviour has been analysed. Applying the double parametric form reduces the computational cost without separating the fuzzy equation into coupled differential equations as done in traditional approaches. Originality/value The vibration equation of large membranes has been solved under fuzzy and interval uncertainty. Uncertainties have been considered in the initial conditions. New approaches, i.e. variational iteration method along with the double parametric form, have been applied to solve the vibration equation of large membranes.

[1]  S. Chakraverty,et al.  Numerical solution of the imprecisely defined inverse heat conduction problem , 2015 .

[2]  Luc Jaulin,et al.  Applied Interval Analysis , 2001, Springer London.

[3]  Juan J. Nieto,et al.  Variation of constant formula for first order fuzzy differential equations , 2011, Fuzzy Sets Syst..

[4]  A. Yildirim,et al.  An algorithm for solving the fractional vibration equation , 2012 .

[5]  Ji-Huan He,et al.  Variational iteration method for autonomous ordinary differential systems , 2000, Appl. Math. Comput..

[6]  Osmo Kaleva The Cauchy problem for fuzzy differential equations , 1990 .

[7]  Nasser Mikaeilvand,et al.  Solving fuzzy partial differential equations by fuzzy two-dimensional differential transform method , 2012, Neural Computing and Applications.

[8]  Lotfi A. Zadeh,et al.  On Fuzzy Mapping and Control , 1996, IEEE Trans. Syst. Man Cybern..

[9]  Hans-Jürgen Zimmermann,et al.  Fuzzy Set Theory - and Its Applications , 1985 .

[10]  Mohammad Mehdi Hosseini,et al.  Numerical Solution of Fuzzy Differential Equations by Variational Iteration Method , 2016, Int. J. Fuzzy Syst..

[11]  D. Dubois,et al.  Towards fuzzy differential calculus part 3: Differentiation , 1982 .

[12]  Y. Cherruault,et al.  New ideas for proving convergence of decomposition methods , 1995 .

[13]  S. Seikkala On the fuzzy initial value problem , 1987 .

[14]  Osmo Kaleva Fuzzy differential equations , 1987 .

[15]  Tofigh Allahviranloo,et al.  VARIATIONAL ITERATION METHOD FOR SOLVING N-TH ORDER DIFFERENTIAL EQUATIONS , 2011 .

[16]  Vahid Parvaneh,et al.  Common fixed points of almost generalized (ψ,φ)s(ψ,φ)ssψ , 2013 .

[17]  Snehashish Chakraverty,et al.  Dynamic response of imprecisely defined beam subject to various loads using Adomian decomposition method , 2014, Appl. Soft Comput..

[18]  D. Baleanu,et al.  The variational iteration method for solving n-th order fuzzy differential equations , 2012 .

[19]  S. Chakraverty,et al.  Fuzzy Arbitrary Order System: Fuzzy Fractional Differential Equations and Applications , 2016 .

[20]  The variational iteration method for fuzzy fractional differential equations with uncertainty , 2013 .

[21]  Michael Hanss,et al.  Applied Fuzzy Arithmetic: An Introduction with Engineering Applications , 2004 .

[22]  C. Sultan,et al.  Solution of Nonlinear Vibration Problem of a Prestressed Membrane by Adomian Decomposition , 2012 .

[23]  T. Ross Fuzzy Logic with Engineering Applications , 1994 .

[24]  Ji-Huan He Variational iteration method – a kind of non-linear analytical technique: some examples , 1999 .

[25]  A. F. Jameel,et al.  The Variational Iteration Method for Solving Fuzzy Duffing's Equation , 2014 .

[26]  Rosana Rodríguez-López,et al.  Periodic boundary value problems for first-order linear differential equations with uncertainty under generalized differentiability , 2013, Inf. Sci..

[27]  L. Rayleigh,et al.  The theory of sound , 1894 .