What is he best known for?
The fields of study he is best known for:
- Statistics
- Composite material
- Mathematical optimization
Raphael T. Haftka mainly focuses on Mathematical optimization, Structural engineering, Finite element method, Algorithm and Applied mathematics.
His work on Mathematical optimization is being expanded to include thematically relevant topics such as Engineering design process.
His research integrates issues of Reduction and Aerodynamics in his study of Structural engineering.
The Finite element method study combines topics in areas such as Structure, Computer Aided Design and Control theory, Sensitivity.
The various areas that Raphael T. Haftka examines in his Algorithm study include Variable and Noise.
His Applied mathematics research incorporates elements of Linear approximation, Nonlinear system, Second derivative and Quadratic equation, Geometry.
His most cited work include:
- Surrogate-based Analysis and Optimization (1627 citations)
- Elements of Structural Optimization (1585 citations)
- Approximation concepts for optimum structural design — a review (510 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Mathematical optimization, Structural engineering, Finite element method, Algorithm and Sensitivity.
His work carried out in the field of Mathematical optimization brings together such families of science as Applied mathematics and Engineering design process.
Applied mathematics is closely attributed to Eigenvalues and eigenvectors in his research.
His study in Structural engineering is interdisciplinary in nature, drawing from both Composite number and Material properties.
His Sensitivity study is associated with Control theory.
His Wing study frequently intersects with other fields, such as Aerodynamics.
He most often published in these fields:
- Mathematical optimization (25.35%)
- Structural engineering (21.08%)
- Finite element method (14.18%)
What were the highlights of his more recent work (between 2010-2021)?
- Uncertainty quantification (5.02%)
- Mathematical optimization (25.35%)
- Reliability engineering (7.03%)
In recent papers he was focusing on the following fields of study:
Uncertainty quantification, Mathematical optimization, Reliability engineering, Structural engineering and Engineering design process are his primary areas of study.
His biological study spans a wide range of topics, including Point and Kriging.
His Kriging study combines topics in areas such as Algorithm, Selection and Support vector machine.
His Reliability engineering study combines topics from a wide range of disciplines, such as Test, Reliability, Probabilistic design and Structural health monitoring.
His Structural engineering research is multidisciplinary, relying on both Coupon, Stress, Process and Material properties.
His studies deal with areas such as Truss and Topology optimization as well as Engineering design process.
Between 2010 and 2021, his most popular works were:
- Efficient global optimization algorithm assisted by multiple surrogate techniques (171 citations)
- Parallel surrogate-assisted global optimization with expensive functions --- a survey (120 citations)
- Review of multi-fidelity models (94 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Composite material
- Artificial intelligence
Raphael T. Haftka spends much of his time researching Mathematical optimization, Engineering design process, Global optimization, Structural engineering and Uncertainty quantification.
Raphael T. Haftka has included themes like Design of experiments, Constraint, Benchmark, Function and Point in his Mathematical optimization study.
Raphael T. Haftka has researched Engineering design process in several fields, including Local optimum, Truss, Control theory, Topology optimization and Optimization problem.
His Structural engineering research is multidisciplinary, incorporating elements of Element, Probabilistic logic and Composite number.
His studies in Uncertainty quantification integrate themes in fields like Uncertainty analysis, Surrogate model, Linear regression, Sensitivity and Process.
His work focuses on many connections between Strength of materials and other disciplines, such as Bending stiffness, that overlap with his field of interest in Finite element method.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
