Uncertain static plane stress analysis with interval fields

Summary Uncertain static plane stress analysis of continuous structure involving interval fields is investigated in this study. Unlike traditional interval analysis of discrete structure, the interval field is adopted to model the uncertainty, as well as the dependency between the physical locations and degrees of variability, of all interval system parameters presented in the continuous structures. By implementing the flexibility properties of some common structural elements, a new computational scheme is proposed to reformulate the uncertain static plane stress analysis with interval fields into standard mathematical programming problems. Consequently, feasible upper and lower bounds of structural responses can be effectively yet efficiently determined. In addition, the proposed method is adequate to deal with situations involving one-dimensional and two-dimensional interval fields, which enhances the pertinence of the proposed approach by incorporating both discrete and continuous structures. In addition, the proposed computational scheme is able to establish the realizations of the uncertain parameters causing the extreme structural responses at zero computational cost. The applicability and credibility of the established computational framework are rigorously justified by various numerical investigations. Copyright © 2016 John Wiley & Sons, Ltd.

[1]  Robert L. Mullen,et al.  Combined Axial and Bending Stiffness in Interval Finite-Element Methods , 2007 .

[2]  Leo Wai-Tsun Ng,et al.  Multifidelity approaches for optimization under uncertainty , 2014 .

[3]  Giuseppe Muscolino,et al.  Natural frequencies of structures with interval parameters , 2015 .

[4]  Alba Sofi,et al.  Structural response variability under spatially dependent uncertainty: Stochastic versus interval model , 2015 .

[5]  Nong Zhang,et al.  A new method for random vibration analysis of stochastic truss structures , 2009 .

[6]  Lori Graham-Brady,et al.  Efficient numerical strategies for spectral stochastic finite element models , 2005 .

[7]  Charbel Farhat,et al.  Strain and stress computations in stochastic finite element methods , 2008 .

[8]  Dejie Yu,et al.  Hybrid uncertain analysis of acoustic field with interval random parameters , 2013 .

[9]  Di Wu,et al.  Probabilistic interval stability assessment for structures with mixed uncertainty , 2016 .

[10]  Jie Liu,et al.  Multidimensional parallelepiped model—a new type of non‐probabilistic convex model for structural uncertainty analysis , 2015 .

[11]  François M. Hemez,et al.  Achieving robust design through statistical effect screening , 2014 .

[12]  Wim Desmet,et al.  Numerical dynamic analysis of uncertain mechanical structures based on interval fields , 2011 .

[13]  Liping Chen,et al.  A Chebyshev interval method for nonlinear dynamic systems under uncertainty , 2013 .

[14]  Armen Der Kiureghian,et al.  Comparison of finite element reliability methods , 2002 .

[15]  Sharif Rahman,et al.  A random field model for generating synthetic microstructures of functionally graded materials , 2008 .

[16]  Zhan Kang,et al.  Structural reliability assessment based on probability and convex set mixed model , 2009 .

[17]  Wei Wu,et al.  A nonintrusive stochastic multiscale solver , 2011 .

[18]  G. Stefanou The stochastic finite element method: Past, present and future , 2009 .

[19]  de R René Borst,et al.  Stochastic approaches for damage evolution in standard and non-standard continua , 1995 .

[20]  C. Jiang,et al.  Structural reliability analysis using non-probabilistic convex model , 2013 .

[21]  G. Schuëller,et al.  Uncertainty analysis of complex structural systems , 2009 .

[22]  Jidong Zhao,et al.  3D generation of realistic granular samples based on random fields theory and Fourier shape descriptors , 2014 .

[23]  W. Gao,et al.  Interval dynamic response analysis of vehicle-bridge interaction system with uncertainty , 2013 .

[24]  I. Elishakoff Essay on uncertainties in elastic and viscoelastic structures: From A. M. Freudenthal's criticisms to modern convex modeling , 1995 .

[25]  Johann Arbocz,et al.  First-order second-moment analysis of the buckling of shells with Random imperfections , 1987 .

[26]  W. Desmet,et al.  Interval fields to represent uncertainty on the output side of a static FE analysis , 2013 .

[27]  Subrata Chakraborty,et al.  Probabilistic safety analysis of structures under hybrid uncertainty , 2007 .

[28]  Liping Chen,et al.  Interval uncertain method for multibody mechanical systems using Chebyshev inclusion functions , 2013 .

[29]  I. Elishakoff,et al.  Static response bounds of Timoshenko beams with spatially varying interval uncertainties , 2015 .

[30]  Giuseppe Muscolino,et al.  Static analysis of Euler-Bernoulli beams with interval Young's modulus , 2015 .

[31]  Z. Luo,et al.  A new uncertain analysis method and its application in vehicle dynamics , 2015 .

[32]  Mircea Grigoriu,et al.  STOCHASTIC FINITE ELEMENT ANALYSIS OF SIMPLE BEAMS , 1983 .

[33]  C. Jiang,et al.  Structural reliability analysis based on random distributions with interval parameters , 2011 .

[34]  Di Wu,et al.  Robust assessment of collapse resistance of structures under uncertain loads based on Info-Gap model , 2015 .

[35]  Nong Zhang,et al.  An interval uncertain optimization method for vehicle suspensions using Chebyshev metamodels , 2014 .

[36]  Jiri Rohn Enclosing solutions of linear interval equations is NP-hard , 2006, Computing.

[37]  Miroslav Vořechovský,et al.  Simulation of simply cross correlated random fields by series expansion methods , 2008 .

[38]  A. Sofi,et al.  Reliability analysis of structures with interval uncertainties under stationary stochastic excitations , 2016 .

[39]  Nong Zhang,et al.  Interval multi-objective optimisation of structures using adaptive Kriging approximations , 2013 .

[40]  Charbel Farhat,et al.  A FETI‐preconditioned conjugate gradient method for large‐scale stochastic finite element problems , 2009 .

[41]  Chen Wang,et al.  Robust fuzzy structural safety assessment using mathematical programming approach , 2016, Fuzzy Sets Syst..

[42]  Dejie Yu,et al.  An interval random perturbation method for structural‐acoustic system with hybrid uncertain parameters , 2014 .

[43]  R. Ghanem,et al.  Stochastic Finite Element Expansion for Random Media , 1989 .

[44]  C. Jiang,et al.  Non-probabilistic convex model process: A new method of time-variant uncertainty analysis and its application to structural dynamic reliability problems , 2014 .

[45]  I. Papaioannou,et al.  Numerical methods for the discretization of random fields by means of the Karhunen–Loève expansion , 2014 .

[46]  W. J. Whiten,et al.  Computational investigations of low-discrepancy sequences , 1997, TOMS.

[47]  N. Kessissoglou,et al.  Dynamic response analysis of stochastic truss structures under non-stationary random excitation using the random factor method , 2007 .

[48]  Su-huan Chen,et al.  Interval static displacement analysis for structures with interval parameters , 2002 .

[49]  D. Moens,et al.  An interval finite element approach for the calculation of envelope frequency response functions , 2004 .

[50]  Umberto Alibrandi,et al.  The use of stochastic stresses in the static approach of probabilistic limit analysis , 2008 .

[51]  Kenjiro Terada,et al.  Imperfection sensitivity and probabilistic variation of tensile strength of steel members , 2002 .

[52]  Arne Stolbjerg Drud,et al.  CONOPT - A Large-Scale GRG Code , 1994, INFORMS J. Comput..

[53]  A. Sofi,et al.  Stochastic analysis of structures with uncertain-but-bounded parameters via improved interval analysis , 2012 .

[54]  Singiresu S Rao,et al.  Numerical solution of fuzzy linear equations in engineering analysis , 1998 .