Edmondo Minisci

Search results

• 2021

  Assessment of optimization methods for aeroacoustic prediction of trailing-edge interaction noise in axisymmetric jets

  Stirrat, S., Afsar, M. Z. & Minisci, E., 28 Apr 2021, In: Mathematics. 9, 9, 17 p., 998.

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

  Open Access

  File

  • Aeroacoustics 100%
  • Turbulence 74%
  • Optimization Methods 70%
  • Acoustics 56%
  • Prediction 52%
  8 Downloads (Pure)

• Convolutional Generative Adversarial Network, via Transfer Learning, for traditional Scottish music generation

  Marchetti, F., Wilson, C., Powell, C., Minisci, E. & Riccardi, A., 17 May 2021, Artificial Intelligence in Music, Sound, Art and Design: 10th International Conference, EvoMUSART 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings. Romero, J., Martins, T. & Rodríguez-Fernández, N. (eds.). Cha, Switzerland: Springer, Vol. 12693. 16 p. (Lecture Notes in Computer Science).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  • Transfer learning 100%
  • Music 88%
  • Generative 84%
  • Pentatonic 19%
  • Tonal 12%

• Genetic programming guidance control system for a reentry vehicle under uncertainties

  Marchetti, F. & Minisci, E., 6 Aug 2021, In: Mathematics. 9, 16, 19 p., 1868.

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

  Open Access

  File

  • Reentry 100%
  • Genetic programming 98%
  • Control systems 52%
  • Nonlinear systems 24%
  • Linearization 14%
  1 Downloads (Pure)

• Inclusive genetic programming

  Marchetti, F. & Minisci, E., 15 Apr 2021, Genetic Programming: 24th European Conference, EuroGP 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings. Hu, T., Lourenço, N. & Medvet, E. (eds.). 1 ed. Springer International Publishing AG, Vol. 12691. p. 51-65 15 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  • Genetic programming 100%
  • Entropy 12%

• Investigating the influence of uncertainty in novel airframe technologies on realizing ultra-high aspect ratio wings

  Ma, Y., Minisci, E. & Elham, A., 23 Jul 2021. 22 p.

  Research output: Contribution to conference › Paper

  • Airframes 100%
  • Aspect ratio 79%
  • Conceptual design 69%
  • Uncertainty analysis 41%
  • Constrained optimization 37%

• Machine learning-enabled prediction of wind turbine energy yield losses due to general blade leading edge erosion

  Cappugi, L., Castorrini, A., Bonfiglioli, A., Minisci, E. & Campobasso, M. S., 1 Oct 2021, In: Energy Conversion and Management. 245, 114567.

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

  Open Access

  File

  • Wind Turbine 100%
  • Erosion 80%
  • Blade 78%
  • Machine Learning 64%
  • Turbomachine blades 56%
  1 Downloads (Pure)
• 2020

  A deep learning approach to space weather proxy forecasting for orbital prediction

  Stevenson, E., Rodríguez-Fernández, V., Minisci, E. & Camacho, D., 14 Oct 2020. 15 p.

  Research output: Contribution to conference › Paper

  Open Access

  File

  • Deep learning 100%
  • Fluxes 45%
  • Drag 33%
  • Spacecraft 33%
  • Orbits 32%
  16 Downloads (Pure)

• A hybrid Neural Network-Genetic Programming Intelligent Control approach

  Marchetti, F. & Minisci, E., 16 Nov 2020, Bioinspired Optimization Methods and Their Applications. Filipič, B., Minisci, E. & Vasile, M. (eds.). Cham, Switzerland: Springer, p. 240-254 15 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  • Network Programming 100%
  • Intelligent Control 94%
  • Genetic Programming 77%
  • Genetic programming 64%
  • Intelligent control 61%
  1 Citation (Scopus)

• AI and space security: collision risk sssessment

  Sanchez Fernandez-Mellado, L., Vasile, M. & Minisci, E., 22 May 2020, Handbook of Space Security: Policies, Applications and Programs. Schrogl, K-U. (ed.). 2nd ed. Cham, Switzerland: Springer, p. 1-19 19 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  Open Access

  File

  • Spacecraft propulsion 100%
  • Small satellites 73%
  • Collision avoidance 61%
  • Artificial intelligence 54%
  • Satellites 47%
  242 Downloads (Pure)

• A novel update mechanism for Q-Networks based on extreme learning machines

  Wilson, C., Riccardi, A. & Minisci, E., 28 Sep 2020, 2020 International Joint Conference on Neural Networks (IJCNN). Piscataway, NJ.: IEEE, 7 p. 9207098

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Reinforcement learning 100%
  • Machine learning 91%
  • Neural networks 30%
  • Poles 21%
  4 Downloads (Pure)

• A review of methods to study resilience of complex engineering and engineered systems

  Naghshbandi, S. N., Varga, L., Purvis, A., McWilliam, R., Minisci, E., Vasile, M., Troffaes, M., Sedighi, T., Guo, W., Manley, E. & Jones, D. H., 13 May 2020, In: IEEE Access. 8, p. 87775-87799 25 p.

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

  Open Access

  File

  • Time 57%
  • Telecommunication networks 34%
  • Electric power systems 33%
  5 Citations (Scopus)

  9 Downloads (Pure)

• Classifying intelligence in machines: a taxonomy of intelligent control

  Wilson, C., Marchetti, F., Di Carlo, M., Riccardi, A. & Minisci, E., 21 Aug 2020, In: Robotics. 9, 3, 19 p., 64.

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

  Open Access

  File

  • Intelligent Control 100%
  • Intelligence 79%
  • Taxonomy 76%
  • Intelligent control 65%
  • Taxonomies 61%
  2 Citations (Scopus)

  102 Downloads (Pure)

• High-lift devices topology optimisation using structured-chromosome genetic algorithm

  Gentile, L., Morales, E., Minisci, E., Quagliarella, D., Bartz-Beielstein, T. & Tognaccini, R., 3 Sep 2020, 2020 IEEE Congress on Evolutionary Computation (CEC). Piscataway, NJ.: IEEE, 9 p. 9185603

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Chromosomes 100%
  • Shape optimization 91%
  • Genetic algorithms 61%
  • Mathematical operators 15%
  10 Downloads (Pure)

• Intelligent control: a taxonomy

  Wilson, C., Marchetti, F., Di Carlo, M., Riccardi, A. & Minisci, E., 9 Jan 2020, p. 333-339. 7 p.

  Research output: Contribution to conference › Proceeding › peer-review

  Open Access

  File

  • Intelligent control 100%
  • Taxonomies 94%
  • Control systems 13%
  1 Citation (Scopus)

  94 Downloads (Pure)

• Modelling and simulation of transpiration cooling systems for atmospheric re-entry

  Bandivadekar, D. & Minisci, E., 1 Jul 2020, In: Aerospace. 7, 7, 13 p., 89.

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

  Open Access

  File

  • Transpiration 100%
  • Reentry 81%
  • Cooling systems 68%
  • Heat flux 24%
  • Computational fluid dynamics 21%
  49 Downloads (Pure)

• Modelling the trailing edge noise using optimisation techniques within a rapid distortion theory framework

  Stirrat, S., Afsar, M., Minisci, E. & Kokkinakis, I., 22 Nov 2020. 1 p.

  Research output: Contribution to conference › Proceeding

  Open Access

  File

  • Acoustics 100%
  • Acoustic waves 57%
  • Mach number 47%
  • Acoustic fields 31%
  • Unsteady flow 26%
  1 Downloads (Pure)

• On the use of machine learning and evidence theory to improve collision risk management

  Sánchez, L., Vasile, M. & Minisci, E., 14 Jan 2020. 18 p.

  Research output: Contribution to conference › Paper

  Open Access

  File

  • Risk management 100%
  • Machine learning 68%
  • Artificial intelligence 48%
  • Mathematical operators 34%
  • Geometry 33%
  28 Downloads (Pure)

• Preliminary spacecraft design by means of structured-chromosome genetic algorithms

  Gentile, L., Filippi, G., Minisci, E., Vasile, M. & Bartz-Beielstein, T., 3 Sep 2020, 2020 IEEE Congress on Evolutionary Computation (CEC). Piscataway, NJ.: IEEE, 9 p. 9185796

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Chromosomes 100%
  • Spacecraft 77%
  • Genetic algorithms 61%
  • Large scale systems 24%
  • Nonlinear systems 24%
  18 Downloads (Pure)

• Rapid estimate of wind turbine energy loss due to blade leading edge delamination using artificial neural networks

  Campobasso, M. S., Cavazzini, A. & Minisci, E., Jul 2020, In: Journal of Turbomachinery. 142, 7, 23 p., 071002.

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

  Open Access

  File

  • Wind Turbine 100%
  • Delamination 87%
  • Blade 78%
  • Artificial Neural Network 75%
  • Turbine 68%
  3 Citations (Scopus)

  4 Downloads (Pure)

• Towards intelligent control via genetic programming

  Marchetti, F., Minisci, E. & Riccardi, A., 28 Sep 2020, 2020 International Joint Conference on Neural Networks (IJCNN). Piscataway, NJ.: IEEE, 8 p. 9207694

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Genetic programming 100%
  • Intelligent control 96%
  • Space applications 19%
  • Controllers 18%
  • Rockets 18%
  3 Citations (Scopus)

  9 Downloads (Pure)

• Using optimisation techniques within a rapid-distortion theory framework to improve trailing edge noise predictions

  Stirrat, S., Afsar, M., Minisci, E. & Kokkinakis, I., 28 Oct 2020. 2 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

  • Acoustics 100%
  • Fourier transforms 30%
  • Mach number 29%
  • Scattering 28%
  • Turbulence 27%
• 2019

  Adaptive multi-population inflationary differential evolution

  Di Carlo, M., Vasile, M. & Minisci, E., 15 Jul 2019, (E-pub ahead of print) In: Soft Computing. 31 p.

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

  Open Access

  File

  • Differential Evolution 100%
  • Evolutionary Computation 88%
  • Restart 84%
  • Differential Evolution Algorithm 57%
  • Evolutionary algorithms 38%
  6 Citations (Scopus)

  10 Downloads (Pure)

• AI to support decision making in collision risk assessment

  Sánchez, L., Vasile, M. & Minisci, E., 24 Oct 2019. 17 p.

  Research output: Contribution to conference › Paper

  Open Access

  File

  • Risk assessment 100%
  • Artificial intelligence 89%
  • Decision making 73%
  • Space debris 40%
  • Mathematical operators 26%
  1 Citation (Scopus)

  14 Downloads (Pure)

• An optimization approach for designing optimal tracking campaigns for low-resources deep-space missions

  Gentile, L., Greco, C., Minisci, E., Bartz-Beielstein, T. & Vasile, M., 25 Oct 2019. 11 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

  • Spacecraft 94%
  • Satellites 82%
  • Asteroids 69%
  • Chromosomes 61%
  • Global optimization 55%
  4 Citations (Scopus)

  19 Downloads (Pure)

• Autonomous generation of observation schedules for tracking satellites with structured-chromosome GA optimisation

  Greco, C., Gentile, L., Filippi, G., Minisci, E., Vasile, M. & Bartz-Beielstein, T., 10 Jun 2019, 2019 IEEE Congress on Evolutionary Computation. Piscataway, NJ: IEEE, p. 497-505 9 p. 8790101

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Chromosomes 100%
  • Earth (planet) 72%
  • Satellites 67%
  • Space debris 60%
  • Population Density 52%
  5 Citations (Scopus)

  11 Downloads (Pure)

• CFD based design optimization of a cabinet nitrogen generator

  Gutiérrez, B. A., Minisci, E. & Chisholm, G., 1 Jan 2019, Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems. Andrés-Pérez, E., González, L., Periaux, J., Gauger, N., Quagliarella, D. & Giannakoglou, K. (eds.). Cham, Switzerland: Springer, p. 247-260 14 p. (Computational Methods in Applied Sciences; vol. 49).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Nitrogen 100%
  • Computational Fluid Dynamics 87%
  • Cooling 86%
  • Computational fluid dynamics 51%
  • Generator 49%

• Launcher vehicle aerothermodynamics and fairing separation altitude effects on payload temperature

  Falchi, A., Gentile, L., Minisci, E., Tirelli, M. & Perugini, P., 1 Jul 2019.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

  • Ascent 100%
  • Panel Method 64%
  • Fluxes 64%
  • Direct Simulation Monte Carlo 64%
  • Hypersonic aerodynamics 45%
  8 Downloads (Pure)

• Machine learning-aided assessment of wind turbine energy losses due to blade leading edge damage

  Cavazzini, A., Minisci, E. & Campobasso, M. S., 13 Dec 2019, ASME 2019 2nd International Offshore Wind Technical Conference. [S.I.], 14 p. IOWTC2019-7578

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Turbomachine blades 98%
  • Wind turbines 88%
  • Energy dissipation 87%
  • Turbines 79%
  • Machine learning 74%
  2 Citations (Scopus)

  6 Downloads (Pure)

• Modeling supersonic heated jet noise at fixed jet Mach number using an asymptotic approach for the acoustic analogy Green’s function and an optimized turbulence model

  Afsar, M. Z., Sescu, A. & Minisci, E., 18 May 2019, 25th AIAA/CEAS Aeroacoustics Conference. Reston, VA, 13 p. AIAA 2019-2731

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Turbulence Model 100%
  • Green's function 85%
  • Acoustics 77%
  • Turbulence models 72%
  • Mach number 70%
  1 Citation (Scopus)

  9 Downloads (Pure)

• Modelling peak supersonic heated jet noise at fixed jet or fixed acoustic Mach number using an acoustic analogy-based non-parallel flow asymptotic approach

  Afsar, M., Sescu, A. & Minisci, E., 24 Nov 2019.

  Research output: Contribution to conference › Abstract

  • Acoustic noise 100%
  • Mach number 89%
  • Acoustics 75%
  • Tensors 54%
  • Green's function 43%

• Propagation of boundary and geometrical uncertainties for the aeroacoustics analysis of a side mirror

  Minisci, E., Scardigli, A. & Gallizio, F., 18 Sep 2019.

  Research output: Contribution to conference › Speech

  Open Access

  File

  • Aeroacoustics 100%
  • Mirrors 75%
  • Computational aeroacoustics 32%
  • Monte Carlo methods 7%
  • Systems engineering 6%
  3 Downloads (Pure)

• Robust particle filter for space objects tracking under severe uncertainty

  Greco, C., Gentile, L., Vasile, M., Minisci, E. & Bartz-Beielstein, T., 15 Aug 2019. 20 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

  • Object tracking 100%
  • Debris 33%
  • Algebra 32%
  • Tuning 24%
  • Satellites 23%
  14 Downloads (Pure)

• Structured-chromosome GA optimisation for satellite tracking

  Gentile, L., Greco, C., Minisci, E., Bartz-Beielstein, T. & Vasile, M., 30 Sep 2019, GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companion. Prague, Czech Republic, p. 1955-1963 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

  Open Access

  File

  • Chromosomes 100%
  • Genetic algorithms 61%
  • Earth (planet) 36%
  • Population Density 26%
  • State estimation 21%
  4 Citations (Scopus)

  9 Downloads (Pure)

• Towards intelligent control via genetic programming

  Marchetti, F., Minisci, E. & Riccardi, A., 21 Nov 2019, p. 1-18. 18 p.

  Research output: Contribution to conference › Speech

  Open Access

  File

  • Genetic programming 100%
  • Intelligent control 96%
  6 Downloads (Pure)

• Trajectory optimization of a reusable launch vehicle

  Marchetti, F., Minisci, E. & Riccardi, A., 29 Jun 2019.

  Research output: Contribution to conference › Speech

  Open Access

  File

  • Launch vehicles 100%
  • Trajectories 61%
  • Orbits 39%
  • Scalability 35%
  • Costs 16%
  24 Downloads (Pure)

• Uncertainty based optimal planning of residential building stocks retrofits

  Ricciu, R., Besalduch, A. L., Minisci, E. & Manuello Bertetto, A., 10 Jun 2019, (Accepted/In press) In: International Journal of Mechanics and Control. 20, 1, 6 p.

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

  Open Access

  File

  • Planning 100%
  • Uncertainty 81%
  • Multi-objective Evolutionary Algorithm 50%
  • Public administration 45%
  • Government 43%
  1 Downloads (Pure)
• 2018

  Aerodynamic design optimization of wind turbine airfoils under aleatory and epistemic uncertainty

  Caboni, M., Minisci, E. & Riccardi, A., 1 Jun 2018, In: Journal of Physics: Conference Series . 1037, 4, 10 p., 042011.

  Research output: Contribution to journal › Conference Contribution › peer-review

  Open Access

  File

  • wind turbines 100%
  • design optimization 91%
  • airfoils 89%
  • aerodynamics 80%
  • Wind turbines 64%
  3 Citations (Scopus)

  26 Downloads (Pure)

• GTOC9: Methods and results from University of Strathclyde (team Strath++)

  Ortega Absil, C., Ricciardi, L. A., Di Carlo, M., Greco, C., Serra, R., Polnik, M., Vroom, A., Riccardi, A., Minisci, E. & Vasile, M., 9 Jan 2018, In: Acta Futura. 11, p. 57-70 14 p.

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

  Open Access

  File

  • Trajectories 100%
  • Debris 51%
  • Global optimization 49%
  • Engineers 33%
  • Planning 30%
  36 Downloads (Pure)

• GTOC 9: Results from University of Strathclyde (team Strath++)

  Ortega Absil, C., Ricciardi, L. A., Di Carlo, M., Greco, C., Serra, R., Polnik, M., Vroom, A., Riccardi, A., Minisci, E. & Vasile, M., 9 Jan 2018, In: Acta Futura. 11, p. 57-70 14 p.

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

  Open Access

  File

  • Trajectories 100%
  • Debris 51%
  • Global optimization 49%
  • Engineers 33%
  • Planning 30%
  19 Downloads (Pure)

• HDMR-based sensitivity analysis and uncertainty quantification of GOCE aerodynamics using DSMC

  Falchi, A., Minisci, E., Kubicek, M., Vasile, M. & Lemmens, S., 10 Feb 2018, Stardust Final Conference: Advances in Asteroids and Space Debris Engineering and Science. Vasile, M., Minisci, E., Summerer, L. & Mcginty, P. (eds.). Cham: Springer Netherlands, p. 301-323 23 p. (Astrophysics and Space Science Proceedings; vol. 52).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Atmosphere (Earth) 100%
  • GOCE 86%
  • sensitivity analysis 74%
  • Gravity 71%
  • aerodynamics 67%

• Improved collaborative optimization in multidisciplinary design optimization problems

  Zhang, S., Minisci, E., Liu, M., Huang, Y. & Riccardi, A., 26 Sep 2018. 6 p.

  Research output: Contribution to conference › Proceeding

  Open Access

  File
  20 Downloads (Pure)

• Low-fidelity modelling for aerodynamic characteristics of re-entry objects

  Benedetti, G., Viola, N., Minisci, E., Falchi, A. & Vasile, M., 1 Apr 2018, Stardust Final Conference: Advances in Asteroids and Space Debris Engineering and Science. Vasile, M., Minisci, E., Summerer, L. & Mcginty, P. (eds.). Cham: Springer Netherlands, p. 247-264 18 p. (Astrophysics and Space Science Proceedings; vol. 52).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • aerodynamic characteristics 100%
  • reentry 86%
  • Reentry 76%
  • aerodynamics 70%
  • Aerodynamics 52%
  1 Citation (Scopus)

• Optimal sizing of electric multirotor configurations

  Avanzini, G., de Angelis, E. L., Giulietti, F. & Minisci, E., 31 May 2018, (Accepted/In press).

  Research output: Contribution to conference › Proceeding

  Open Access

  File

  • Evolutionary algorithms 100%
  11 Downloads (Pure)

• Optimisation based analysis of the effect of particle spatial distribution on the elastic behaviour of PRMMC

  Gentile, L., Giugliano, D., Cestino, E., Frulla, G. & Minisci, E., 11 Jun 2018. 12 p.

  Research output: Contribution to conference › Paper

  Open Access

  File

  • Spatial distribution 100%
  • Metals 58%
  • Composite materials 52%
  • Global optimization 10%
  • Adaptive algorithms 10%
  20 Downloads (Pure)
• 2017

  Aero-thermal re-entry sensitivity analysis using DSMC and a high dimensional model representation-based approach

  Falchi, A., Minisci, E., Vasile, M. & Kubicek, M., 18 Apr 2017. 11 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

  • Reentry 100%
  • Heat transfer coefficients 78%
  • Sensitivity analysis 75%
  • Geometry 51%
  • Hypersonic aerodynamics 48%
  98 Downloads (Pure)

• Computational intelligence in aerospace science and engineering [Guest Editorial]

  Vasile, M., Minisci, E. & Tang, K., 1 Nov 2017, In: IEEE Computational Intelligence Magazine. 12, 4, p. 12-13 2 p.

  Research output: Contribution to journal › Editorial

  Open Access

  File

  • Computational Intelligence 100%
  • Artificial intelligence 57%
  • Engineering 53%
  • Multiobjective Optimization Problems 26%
  • Aerospace industry 24%
  19 Downloads (Pure)

• DSMC-based correction factor for low-fidelity hypersonic aerodynamics of re-entering objects and space debris

  Falchi, A., Minisci, E., Vasile, M., Rastelli, D. & Bellini, N., 3 Jul 2017, p. 1-15. 15 p.

  Research output: Contribution to conference › Paper

  Open Access

  File

  • Space debris 100%
  • Hypersonic aerodynamics 82%
  • Small satellites 43%
  • Monte Carlo methods 38%
  • Drag 32%
  128 Downloads (Pure)

• FOSTRAD: An advanced open source tool for re-entry analysis

  Falchi, A., Renato, V., Minisci, E. & Vasile, M., 30 Oct 2017. 15 p.

  Research output: Contribution to conference › Paper

  Open Access

  File

  • Reentry 100%
  • Open Source 88%
  • Asteroids 83%
  • Debris 68%
  • Radius 43%
  75 Downloads (Pure)

• Sensitivity analysis and probabilistic re-entry modeling for debris using high dimensional model representation based uncertainty treatment

  Mehta, P. M., Kubicek, M., Minisci, E. & Vasile, M., 1 Jan 2017, In: Advances in Space Research. 59, 1, p. 193–211 19 p.

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

  Open Access

  File

  • High Dimensional Model Representation 100%
  • Reentry 95%
  • reentry 80%
  • sensitivity analysis 72%
  • debris 67%
  8 Citations (Scopus)

  41 Downloads (Pure)

• Shock-conforming mesh generation for aerodynamic analyses at supersonic regimes

  Herrera Montojo, J., Fossati, M. & Minisci, E., 3 Nov 2017, In: Computers and Fluids. 157, p. 276-293 18 p.

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

  Open Access

  File

  • Supersonic flow 100%
  • Mesh generation 98%
  • Shock waves 90%
  • Aerodynamics 64%
  • Hypersonic flow 54%
  30 Downloads (Pure)