M. Schmelzer, MSc

Research Output

Research Output per year

2018 2020

• 3 Article
• 2 Chapter
• 2 Conference contribution

Research Output per year

Research Output per year

Search results

• 2020

  Stochastic turbulence modeling in RANS simulations via multilevel Monte Carlo

  Kumar, P., Schmelzer, M. & Dwight, R. P., 15 Apr 2020, In : Computers and Fluids. 201, 24 p., 104420.

  Research output: Contribution to journal › Article › Scientific › peer-review

  • Monte Carlo methods
  • Turbulence
  • Tensors
  • Navier Stokes equations
  • Viscosity

• Symbolic regression of algebraic stress-strain relation for RANS turbulence closure

  Schmelzer, M., Dwight, R. P. & Cinnella, P., 1 Jan 2020, Proceedings of the 6th European Conference on Computational Mechanics: Solids, Structures and Coupled Problems, ECCM 2018 and 7th European Conference on Computational Fluid Dynamics, ECFD 2018. Owen, R., de Borst, R., Reese, J. & Pearce, C. (eds.). International Centre for Numerical Methods in Engineering, CIMNE, p. 1789-1795 7 p.

  Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

  • Tensors
  • Turbulence
  • Polynomials
  • Set theory
• 2019

  Discovery of Algebraic Reynolds-Stress Models Using Sparse Symbolic Regression

  Schmelzer, M., Dwight, R. P. & Cinnella, P., 2019, In : Flow, Turbulence and Combustion. 25 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Reynolds stress
  • regression analysis
  • machine learning
  • Anisotropy
  • Machine learning
  6 Citations (Scopus)

  25 Downloads (Pure)

• Estimation of model error using bayesian model-scenario averaging with Maximum a Posterori-estimates

  Schmelzer, M., Dwight, R. P., Edeling, W. & Cinnella, P., 1 Jan 2019, Notes on Numerical Fluid Mechanics and Multidisciplinary Design. Springer, Vol. 140. p. 53-69 17 p. (Notes on Numerical Fluid Mechanics and Multidisciplinary Design; vol. 140).

  Research output: Chapter in Book/Conference proceedings/Edited volume › Chapter › Scientific › peer-review

  • Turbulent flow
  • Probability distributions
  • Turbulence
  • Computational fluid dynamics
  • Pipe

• Uncertainties identification and quantification

  Büche, D., Klostermann, S. & Schmelzer, M., 1 Jan 2019, Notes on Numerical Fluid Mechanics and Multidisciplinary Design. Springer, Vol. 140. p. 679-686 8 p. (Notes on Numerical Fluid Mechanics and Multidisciplinary Design; vol. 140).

  Research output: Chapter in Book/Conference proceedings/Edited volume › Chapter › Scientific › peer-review

  • Uncertainty
  • Product development
  • Computer simulation
• 2018

  Bayesian predictions of reynolds-averaged navier–stokes uncertainties using maximum a posteriori estimates

  Edeling, W. N., Schmelzer, M., Dwight, R. P. & Cinnella, P., 1 Jan 2018, In : AIAA Journal. 56, 5, p. 2018-2029 12 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  • Uncertainty
  • Compressible flow
  • Probability distributions
  • Reynolds number
  • Calibration
  9 Citations (Scopus)

• Data-driven deterministic symbolic regression of nonlinear stress-strain relation for RANS turbulence modelling

  Schmelzer, M., Dwight, R. & Cinnella, P., 1 Jan 2018, 2018 Fluid Dynamics Conference. American Institute of Aeronautics and Astronautics Inc. (AIAA), 13 p. AIAA 2018-2900

  Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

  • Turbulence
  • Tensors
  • Navier Stokes equations
  • Polynomials
  1 Citation (Scopus)