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Optimization Under Uncertainty Applied to Heat Sink Design
9 references·1 citing·39 second hop
Optimization Under Uncertainty Applied to Heat Sink Design (2012)Optimization Under Uncertainty Applied to…DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual. (2010)DAKOTA : a multilevel paralle…Recent Advances in Non-Intrusive Polynomial Chaos and Stochastic Collocation Methods for Uncertainty Analysis and Design (2009)Recent Advances in Non-Intrus…Derivative based global sensitivity measures and their link with global sensitivity indices (2009)Derivative based global sensi…Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics (2008)Uncertainty Quantification an…The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)The Wiener--Askey Polynomial …Formulations for Surrogate-Based Optimization Under Uncertainty (2002)Formulations for Surrogate-Ba…A Stochastic Projection Method for Fluid Flow (2002)A Stochastic Projection Metho…DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis Version 3.0 Reference Manual (2001)DAKOTA, A Multilevel Parallel…A Stochastic Projection Method for Fluid Flow (2001)A Stochastic Projection Metho…Reliability-based design optimization of pin-fin heat sinks using a cell evolution method (2014)Reliability-based design opti…Ingredients for a general purpose stochastic finite elements implementation (1999)Uncertainty quantification in reacting-flow simulations through non-intrusive spectral projection (2003)Multi-resolution analysis of Wiener-type uncertainty propagation schemes (2004)Combustion kinetic model uncertainty quantification, propagation and minimization (2014)Stochastic Finite Elements: A Spectral Approach (1991)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Comparison of Non-Intrusive Polynomial Chaos and Stochastic Collocation Methods for Uncertainty Quantification (2009)Chaospy: An open source tool for designing methods of uncertainty quantification (2015)Structural reliability under combined random load sequences (1978)Global sensitivity analysis using polynomial chaos expansions (2007)Mixed aleatory-epistemic uncertainty quantification with stochastic expansions and optimization-based interval estimation (2011)First order reliability method for time-variant problems using series expansions (2014)A New Study on Reliability-Based Design Optimization (1999)Probability, reliability and statistical methods in engineering design (1999)Probability, Reliability and Statistical Methods in Engineering Design (2001)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global Sensitivity Analysis. The Primer (2007)From screening to quantitative sensitivity analysis. A unified approach (2011)Sensitivity analysis for volcanic source modeling quality assessment and model selection (2012)What do we mean by sensitivity analysis? The need for comprehensive characterization of “global” sensitivity in E arth and E nvironmental systems models (2015)Simulation Budget Allocation for Further Enhancing the Efficiency of Ordinal Optimization (2000)Safety-factor based approach for probability-based design optimization (2001)Optimal Design with Probabilistic Objective and Constraints (2005)Investigation of reliability method formulations in DAKOTA/UQ (2006)Approximate Reliability-Based Optimization Using a Three-Step Approach Based on Subset Simulation (2007)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)Point-Collocation Nonintrusive Polynomial Chaos Method for Stochastic Computational Fluid Dynamics (2010)A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)Simulation-based optimal Bayesian experimental design for nonlinear systems (2012)Design Patterns: Elements of Reusable Object-Oriented Software (1994)Epistemic Uncertainty in the Calculation of Margins (2009)Test Resource Allocation in Hierarchical Systems Using Bayesian Networks (2013)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes (2004)Stochastic spectral methods for efficient Bayesian solution of inverse problems (2006)Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles (2011)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)
this work references cited by second hop

References

  • 2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations4,821 cited
  • 2010DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual.775 cited
  • 2008Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics769 cited
  • 2002A Stochastic Projection Method for Fluid Flow503 cited
  • 2009Derivative based global sensitivity measures and their link with global sensitivity indices446 cited
  • 2009Recent Advances in Non-Intrusive Polynomial Chaos and Stochastic Collocation Methods for Uncertainty Analysis and Design371 cited
  • 2001A Stochastic Projection Method for Fluid Flow338 cited
  • 2002Formulations for Surrogate-Based Optimization Under Uncertainty78 cited
  • 2001DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis Version 3.0 Reference Manual67 cited

Cited by

  • 2014Reliability-based design optimization of pin-fin heat sinks using a cell evolution method9 cited

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