A formulation for efficient adaptive metamodelling in engineering design
Explore this paper's citation graph
Summary
This thesis presents the research and development of robust metamodelling tools for engineering design, and following an extensive literature review the multilevel Radial Basis Function (mRBF) model is highlighted as a promising candidate for further investigation.
- Type
- dissertation
- Published
- 2014-03-01
- Cited by
- 0
- References
- 20
- OpenAlex
- https://openalex.org/W78238002
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:107883767
Keywords
Metamodeling, Workflow, Bottleneck, Computer science, Engineering design process
References
- Service Design Patterns: Fundamental Design Solutions for SOAP/WSDL and RESTful Web Services
- Engineering Design via Surrogate Modelling - A Practical Guide
- Compactly supported positive definite radial functions
- Multidisciplinary Design Exploration for a Winglet
- Multi-fidelity optimization via surrogate modelling
- Sphere Packings, Lattices and Groups
- Improving the accuracy of vehicle crashworthiness response predictions using an ensemble of metamodels
- Multivariate adaptive regression splines
- A Clustering-Based Surrogate Model Updating Approach to Simulation-Based Engineering Design
- Piecewise polynomial, positive definite and compactly supported radial functions of minimal degree
- Handbook of Discrete and Computational Geometry, Second Edition
- Gradient‐based Interpolation and Sampling for Real‐time Rendering of Inhomogeneous, Single‐scattering Media
- Comparative studies of metamodelling techniques under multiple modelling criteria
- VORONOI DIAGRAM BASED CUMULATIVE APPROXIMATION FOR ENGINEERING OPTIMIZATION
- Global response approximation with radial basis functions
- Surrogate based optimization of helicopter rotor blades for vibration reduction in forward flight
- Response surface methodology
- Empirical Model‐Building and Response Surfaces
- Review of Metamodeling Techniques in Support of Engineering Design Optimization
- Empirical Model Building and Response Surfaces
Cited by
No citing papers recorded for this paper.
Related papers
- ADOPT: An augmented set-based design framework with optimisation
- Generative design of truss systems by the integration of topology and shape optimisation
- Embedding ensemble learning into simulation-based optimisation: a learning-based optimisation approach for construction planning
- Enhancing and developing the practical optimisation capabilities and intelligence of automatic design software
- Automated metamodel generation for Design Space Exploration and decision-making – A novel method supporting performance-oriented building design and retrofitting
- A framework for the design optimisation of aerospace platforms using intelligent technologies
- Atypical Design Optimisation Of Structures:Case Studies