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Edoardo Patelli1, H Murat Panayirci, Matteo Broggi

  • 1Engineering Mechanics, University of Innsbruck, Technikerstraße 13, 6020 Innsbruck, Austria.

Finite Elements in Analysis and Design : the International Journal of Applied Finite Elements and Computer Aided Engineering
|April 5, 2012
PubMed
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Stochastic analyses for complex models are now affordable. This study presents software integrating solvers and high-performance computing for realistic engineering design and analysis.

Area of Science:

  • Computational Engineering
  • Reliability Engineering
  • Uncertainty Quantification

Background:

  • Stochastic analyses provide realistic insights for engineering design but are computationally intensive.
  • Traditional methods struggle with large, complex models due to high computational demands.
  • Efficient approaches and high-performance computing are crucial for practical stochastic analysis.

Purpose of the Study:

  • To demonstrate the feasibility of performing stochastic analyses on large, complex models affordably.
  • To introduce a general-purpose software integrating deterministic solvers, uncertainty management, and high-performance computing.
  • To showcase the practical applicability of these tools across various engineering domains.

Main Methods:

  • Integration of finite element solvers with advanced uncertainty quantification algorithms.

Related Experiment Videos

  • Leveraging high-performance computing to accelerate computationally demanding stochastic simulations.
  • Development of a versatile software platform for diverse engineering applications.

    • Main Results:

    • Successful execution of stochastic analyses on large and complex models within acceptable cost constraints.
    • Demonstrated efficiency gains through the integration of specialized algorithms and high-performance computing.
    • Validation of the software's capabilities through multiple industrial case studies.

    Conclusions:

    • The presented software enables cost-effective stochastic analysis for large-scale engineering problems.
    • The integrated approach significantly reduces the computational burden, making advanced analysis accessible.
    • The tools are applicable to a wide range of critical engineering tasks, including reliability and robust design.