Thomas C. S. Rendall

Computational Mechanics · 2008–2017

A researcher in the Science corpus: 8 papers; trusts 18 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 40 citations into it; #3,110 of 10,001 by trust here, #3,275 by citations
• Aerospace Engineering — 11 citations into it; #3,200 of 6,421 by trust here, #4,945 by citations
• Civil and Structural Engineering — 11 citations into it; #5,249 of 6,160 by trust here, #5,794 by citations
• Statistics and Probability — 10 citations into it
• Computational Theory and Mathematics — 7 citations into it
• Control and Systems Engineering — 7 citations into it
• Industrial and Manufacturing Engineering — 7 citations into it
• Numerical Methods & Scientific Computing — 6 citations into it

Whom Thomas C. S. Rendall trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. B. Kulfan
2. Christian B. Allen
3. A. Morris
4. Holger Wendland
5. Xueqiang Liu
6. Ning Qin
7. Fengxia Zhu
8. Esmat Rashedi
9. Anindya Chatterjee
10. Andrew D. Back

Who trusts Thomas C. S. Rendall overall

1. Daniel J. Poole
2. Christian B. Allen
3. A. Morris
4. A. Michler

Papers from Thomas C. S. Rendall's perspective

Ordered by how strongly the researchers Thomas C. S. Rendall trusts endorse each paper. Same corpus, a different order for every researcher.

1. "Fundamental" Parameteric Geometry Representations for Aircraft Component Shapes
2. SURVEY OF SHAPE PARAMETERIZATION TECHNIQUES AND ITS EFFECT ON THREE-DIMENSIONAL AERODYNAMIC SHAPE OPTIMIZATION
3. Aerodynamic Shape Optimization Based on Free-form Deformation
4. Considerations on the spring analogy
5. Universal Parametric Geometry Representation Method
6. Unified fluid–structure interpolation and mesh motion using radial basis functions
7. Airfoil Optimization Using Practical Aerodynamic Design Requirements
8. An introduction to the proper orthogonal decomposition
9. Scattered Data Approximation
10. Geometric Filtration Using Proper Orthogonal Decomposition for Aerodynamic Design Optimization

Their papers

• High-fidelity aerodynamic shape optimization using efficient orthogonal modal design variables with a constrained global optimizer (2017) — 52 citations
• A Geometric Comparison of Aerofoil Shape Parameterisation Methods (2016) — 162 citations
• Metric-Based Mathematical Derivation of Efficient Airfoil Design Variables (2015) — 96 citations
• CFD-based optimization of hovering rotors using radial basis functions for shape parameterization and mesh deformation (2013) — 72 citations
• Domain-Element Method for Aerodynamic Shape Optimization Applied to a Modern Transport Wing (2009) — 74 citations
• Unified fluid–structure interpolation and mesh motion using radial basis functions (2008) — 350 citations
• CFD‐based optimization of aerofoils using radial basis functions for domain element parameterization and mesh deformation (2008) — 159 citations
• Efficient mesh motion using radial basis functions with data reduction algorithms (2008) — 298 citations