Dr Lukasz Laniewski-Wollk

Postdoctoral Research Fellow

School of Mechanical and Mining Engineering
Faculty of Engineering, Architecture and Information Technology

Overview

Research Interests

  • Optimization of fluid flow problems
    Shape and topology optimization, as well as optimal control of problems involving fluid flow is a major and complex problem in many industrial applications.
  • Adjoint method for CFD
    The adjoint method for CFD allows for fast gradient calculation in numerical methods.
  • Uncertainty Quantification
    The uncertainty quantification methods for CFD allow for analyze the influence of randomness of flow conditions, geometry, and loads, on performance.
  • Lattice Boltzmann Method
    The LBM method allows for efficient CFD computations on massively parallel platforms.

Qualifications

  • Doctor of Technical Science, Warsaw University of Technology

Publications

View all Publications

Supervision

  • Doctor Philosophy

View all Supervision

Publications

Book Chapter

  • Marchlewski, Krzysztof, Łaniewski-Wołłk, Łukasz, Kubacki, Sławomir and Szumbarski, Jacek (2019). Robust optimization with Gaussian process models. Uncertainty Management for Robust Industrial Design in Aeronautics: findings and best practice collected during UMRIDA, a collaborative research project (2013–2016) funded by the European Union. (pp. 479-494) edited by Charles Hirsch, Dirk Wunsch, Jacek Szumbarski, Łukasz Łaniewski-Wołłk and Jordi Pons-Prats. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-77767-2_30

  • Wyrozębski, Marcin, Łaniewski-Wołłk, Łukasz and Rokicki, Jacek (2019). Second-order derivatives for geometrical uncertainties. Uncertainty management for robust industrial design in aeronautics: findings and best practice collected during UMRIDA, a collaborative research project (2013–2016) funded by the European Union. (pp. 347-361) edited by Charles Hirsch, Dirk Wunsch, Jacek Szumbarski, Łukasz Łaniewski-Wołłk and Jordi Pons-Prats. Cham, Switzerland: Springer . doi: 10.1007/978-3-319-77767-2_22

Journal Article

Conference Publication

  • Leonardi, Christopher R., Di Vaira, Nathan J., Laniewski-Wollk, Lukasz, Aminossadati, Saiied M. and Johnson, Raymond L. (2023). Probabilistic quantification of size segregation and screen-out of microparticles subject to electrostatic forces. SPE Hydraulic Fracturing Technology Conference and Exhibition 2023, HFTC 2023, The Woodlands, TX, United States, 31 January– 2 February 2023. Richardson, TX, United States: Society of Petroleum Engineers. doi: 10.2118/212379-ms

  • Mitchell, T., Sashko, D., Łaniewski-Wołłk, Ł. and Leonardi, C. (2023). Towards a Statistical Framework to Upscale Fracture Flows with Quantifiable Uncertainty. European Association of Geoscientists & Engineers. doi: 10.3997/2214-4609.202373012

  • Di Vaira, Nathan J., Łaniewski-Wołłk, Łukasz, Johnson Jr., Raymond L., Aminossadati, Saiied M. and Leonardi, Christopher R. (2021). A novel methodology for predicting micro-proppant screenout in hydraulic fracturing treatments. Asia Pacific Unconventional Resources Technology Conference, Virtual, 16–18 November 2021. Tulsa, OK, United States: Society of Exploration Geophysicists. doi: 10.15530/ap-urtec-2021-208342

  • Di Vaira, Nathan J., Łaniewski-Wołłk, Łukasz, Johnson, Raymond L., Aminossadati, Saiied M. and Leonardi, Christopher R. (2020). Hydrodynamic and electrostatic jamming of microparticles in narrow channels. 22nd Australasian Fluid Mechanics Conference AFMC2020, Brisbane, QLD Australia, 7-10 December 2020. Brisbane, QLD Australia: The University of Queensland. doi: 10.14264/8d34dcf

  • Laniewski-Wollk, Lukasz and Leonardi, Christopher (2020). Towards a stochastic model of the permeability of rough fractures. 22nd Australasian Fluid Mechanics Conference AFMC2020, Brisbane, QLD Australia, 7-10 December 2020. Brisbane, QLD Australia: The University of Queensland. doi: 10.14264/9d96db0

  • Benini, Ernesto, Venturelli, Giovanni and Łaniewski-Wołłk, Łukasz (2016). Comparison between pure and surrogateassisted evolutionary algorithms for multiobjective optimization. 2015 International Conference on Fuzzy System and Data Mining (FSDM2015), Shanghai, China, 12 to 15 December, 2015. AMSTERDAM: IOS Press. doi: 10.3233/978-1-61499-619-4-229

Grants (Administered at UQ)

PhD and MPhil Supervision

Current Supervision