Stochastic simulation of riser-sections with uncertain measured pressure loads and/or uncertain material properties

Jasmine Foo, Zohar Yosibash, George Em Karniadakis

Research output: Contribution to journalArticlepeer-review

33 Scopus citations


We investigate three-dimensional problems in solid mechanics with stochastic loading or material properties. To solve these problems, we use a spectral expansion of the solution and random inputs based on Askey-type orthogonal polynomials in terms of independent, identically distributed (i.i.d) random variables. A Galerkin procedure using these types of expansions, the generalized Polynomial Chaos (gPC) method, is employed to solve linear elasticity problems. An analagous spectral collocation formulation is used to study problems in nonlinear elasticity. These methods both cast the stochastic problem as a coupled or decoupled high-dimensional system of deterministic PDEs, which is then solved numerically using a deterministic p-finite element solver. We present algorithms for solving certain coupled systems arising from the stochastic Galerkin projection without modifying the original deterministic solver. Three-dimensional riser-sections undergoing elastic deformations due to random pressure loads are considered. We also model a riser-section with stochastic Young's modulus undergoing deterministic loads. It is demonstrated that the gPC method provides accurate and efficient results at a speed-up factor of two and three orders of magnitude compared to traditional Monte-Carlo simulations. For nonlinear problems, the stochastic collocation method is also shown to be much faster than Monte-Carlo simulation, while still rivaling this method in simplicity of implementation.

Original languageEnglish
Pages (from-to)4250-4271
Number of pages22
JournalComputer Methods in Applied Mechanics and Engineering
Issue number41-44
StatePublished - 1 Sep 2007


  • Karhunen-Loève (K-L) expansion
  • Polynomial chaos
  • Random fluid loads
  • Stochastic collocation
  • Uncertainty quantification
  • p-FEM

ASJC Scopus subject areas

  • Computational Mechanics
  • Mechanics of Materials
  • Mechanical Engineering
  • General Physics and Astronomy
  • Computer Science Applications


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