A Geometrically Non-Linear Stochastic Analysis of Two-Dimensional Structures Made of Neo-Hookean Hyperelastic Materials Uusing Mlpg Method: Considering Uncertainty in Mechanical Properties

In recent decades, analysis of structures considering variability of some parameters for more reliable design has attracted the attention of researchers. in this paper, the stochastic analysis of a cantilever deep beam made of large deformable neo-hookean material is carried out. for this purpose, the meshless local petrov-galerkin (mlpg) method is developed to obtain the geometrically non-linear equilibrium equations. the radial point interpolation method is used for generating the shape functions. the incremental iterative newton-raphson method with suitable load steps is used to solve the non-linear governing equations. the results of deterministic analysis obtained with proposed method are compared with the finite element results and good agreement is achieved. the initial elasticity modulus of neo-hookean material is considered to be uncertain variable. to generate random field of uncertain variable with normal, lognormal and uniform probability density functions (pdfs), the monte carlo simulation (mcs) technique was employed. the sufficient number of simulations for convergence the results was determined experimentally. the effect of elasticity modulus, pdf and coefficients of variation (cov) on maximum vertical displacement, pdf and cov of results are studied in details. comparing the stochastic and deterministic results shows that the uncertainty in mechanical properties has significant effect on results.