All Stories

  1. Analysis, Forecasting, and System Identification of a Floating Offshore Wind Turbine Using Dynamic Mode Decomposition
  2. Physical analysis methods for planing hull turning circles
  3. A non-intrusive nonlinear structural ROM for partitioned two-way fluid–structure interaction computations
  4. Sailing Towards Efficiency: A Variational Mode Decomposition Based Approach to Forecasting Shipboard Electrical Power Consumption
  5. Optimising hydrofoils using automated multi-fidelity surrogate models
  6. Hydrodynamic Shape Optimization of a Naval Destroyer by Machine Learning Methods
  7. Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition
  8. Experimental and computational fluid-structure interaction analysis and optimization of Deep-V planing-hull grillage panels subject to slamming loads – Part II: Irregular waves
  9. Design-space dimensionality reduction in global optimization of functional surfaces: recent developments and way forward
  10. PIV Snapshot Clustering Reveals the Dual Deterministic and Chaotic Nature of Propeller Wakes at Macro- and Micro-Scales
  11. Multi-fidelity hydrodynamic analysis of an autonomous surface vehicle at surveying speed in deep water subject to variable payload
  12. On the use of dynamic mode decomposition for time-series forecasting of ships operating in waves
  13. A multi-fidelity active learning method for global design optimization problems with noisy evaluations
  14. Experimental and computational fluid-structure interaction analysis and optimization of deep-V planing-hull grillage panels subject to slamming loads – Part I: Regular waves
  15. Time-series forecasting for ships maneuvering in waves via recurrent-type neural networks
  16. Time-series forecasting of ships maneuvering in waves via dynamic mode decomposition
  17. Geometric Moment-Dependent Global Sensitivity Analysis without Simulation Data: Application to Ship Hull Form Optimisation
  18. Comparing multi-index stochastic collocation and multi-fidelity stochastic radial basis functions for forward uncertainty quantification of ship resistance
  19. A Derivative-Free Line-Search Algorithm for Simulation-Driven Design Optimization Using Multi-Fidelity Computations
  20. URANS analysis of a free-running destroyer sailing in irregular stern-quartering waves at sea state 7
  21. Hull-form stochastic optimization via computational-cost reduction methods
  22. Derivative-Free Line-Search Algorithm for Multi-Fidelity Optimization
  23. Physics-Informed Feature-to-Feature Learning for Design-Space Dimensionality Reduction in Shape Optimisation
  24. From Uncertainty Quantification to Shape Optimization: Cross-Fertilization of Methods for Dimensionality Reduction
  25. Uncertainty Quantification of Ship Resistance via Multi-Index Stochastic Collocation and Radial Basis Function Surrogates: A Comparison
  26. Comparison of Multi-Fidelity Approaches for Military Vehicle Design
  27. Adaptive N-Fidelity Metamodels for Noisy CFD Data
  28. Hybridization of Multi-Objective Deterministic Particle Swarm with Derivative-Free Local Searches
  29. Design-space assessment and dimensionality reduction: An off-line method for shape reparameterization in simulation-based optimization
  30. Adaptive multi-fidelity sampling for CFD-based optimisation via radial basis function metamodels
  31. Benchmarking Uncertainty Quantification Methods Using the NACA 2412 Airfoil with Geometrical and Operational Uncertainties
  32. Stochastic Shape Optimization via Design-Space Augmented Dimensionality Reduction and RANS Computations
  33. PIV Data Clustering of a Buoyant Jet in a Stratified Environment
  34. Stochastic optimization methods for ship resistance and operational efficiency via CFD
  35. Towards Augmented Design-Space Exploration via Combined Geometry and Physics Based Karhunen-Loève Expansion
  36. Formulation and parameter selection of multi-objective deterministic particle swarm for simulation-based optimization
  37. Validation of Uncertainty Quantification Methods for High-Fidelity CFD of Ship Response in Irregular Waves
  38. Development and Assessment of Uncertainty Quantification Methods for Ship Hydrodynamics
  39. Parameter selection in synchronous and asynchronous deterministic particle swarm optimization for ship hydrodynamics problems
  40. Ship hydrodynamic optimization by local hybridization of deterministic derivative-free global algorithms
  41. Multi-fidelity Adaptive global metamodel of expensive computer simulations
  42. Dimensionality reduction for shape optimization
  43. A variable-accuracy metamodel-based architecture for global MDO under uncertainty
  44. Dense Orthogonal Initialization for Deterministic PSO: ORTHOinit+
  45. Derivative-free global ship design optimization using global/local hybridization of the DIRECT algorithm
  46. Recent progress in CFD for naval architecture and ocean engineering
  47. Design-space dimensionality reduction in shape optimization by Karhunen–Loève expansion
  48. Globally Convergent Hybridization of Particle Swarm Optimization Using Line Search-Based Derivative-Free Techniques
  49. Development and validation of a dynamic metamodel based on stochastic radial basis functions and uncertainty quantification
  50. High-fidelity global optimization of shape design by dimensionality reduction, metamodels and deterministic particle swarm
  51. A Proposal of PSO Particles’ Initialization for Costly Unconstrained Optimization Problems: ORTHOinit
  52. URANS study of Delft catamaran total/added resistance, motions and slamming loads in head sea including irregular wave and uncertainty quantification for variable regular wave and geometry
  53. A one-dimensional polynomial chaos method in CFD–Based uncertainty quanti-fication for ship hydrodynamic performance
  54. Uncertainty quantification of Delft catamaran resistance, sinkage and trim for variable Froude number and geometry using metamodels, quadrature and Karhunen–Loève expansion
  55. Ship optimization by globally convergent modification of PSO by a surrogate‐based Newton method
  56. Initial Particles Position for PSO, in Bound Constrained Optimization
  57. FRAMEWORK FOR CONVERGENCE AND VALIDATION OF STOCHASTIC UNCERTAINTY QUANTIFICATION AND RELATIONSHIP TO DETERMINISTIC VERIFICATION AND VALIDATION
  58. Comparison between Deterministic and Stochastic formulations of Particle Swarm Optimization, for Multidisciplinary Design Optimization
  59. Multidisciplinary conceptual design optimization of aircraft using a sound-matching-based objective function
  60. Hydroelastic optimization of a keel fin of a sailing boat: a multidisciplinary robust formulation for ship design
  61. Optimal Hull-Form Design Subject to Epistemic Uncertainty
  62. A New Parameterisation Approach for Mixed-Integer Optimisation
  63. Two-stage Stochastic Programming Formulation for Ship Design Optimisation under Uncertainty
  64. Robust optimization for ship conceptual design
  65. Robust Optimization of Aircraft Life-cycle Costs Including the Cost of Community Noise
  66. A Sound-Matching-Based Approach for Aircraft Noise Annoyance Alleviation Via MDO
  67. Optimal Conceptual Design of Aircraft Including Community Noise Prediction
  68. Digital holography and Karhunen–Loève decomposition for the modal analysis of two-dimensional vibrating structures
  69. An Extended Karhunen-Loève Decomposition for Modal Identification of Inhomogeneous Structures
  70. Community Noise Impact on the Conceptual Design of Innovative Aircraft Configurations
  71. Initial Particles Position for PSO, in Bound Constrained Optimization