What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Composite material
- Mechanical engineering
John E. Renaud mainly focuses on Mathematical optimization, Engineering design process, Multidisciplinary design optimization, Systems design and Subspace topology.
His work in the fields of Mathematical optimization, such as Optimization problem, intersects with other areas such as Taylor series.
His research in Engineering design process intersects with topics in Robust optimization, Management science, Single objective, Probabilistic-based design optimization and Robustness.
While working on this project, John E. Renaud studies both Multidisciplinary design optimization and Systems engineering.
His Systems design study incorporates themes from Control engineering, Collaborative optimization and Function.
John E. Renaud focuses mostly in the field of Subspace topology, narrowing it down to topics relating to Decomposition and, in certain cases, Distributed computing.
His most cited work include:
- Uncertainty quantification using evidence theory in multidisciplinary design optimization (258 citations)
- Mechanical behavior of acrylonitrile butadiene styrene (ABS) fused deposition materials. Experimental investigation (191 citations)
- Mechanical behavior of acrylonitrile butadiene styrene fused deposition materials modeling (189 citations)
What are the main themes of his work throughout his whole career to date?
John E. Renaud mostly deals with Mathematical optimization, Topology optimization, Cellular automaton, Multidisciplinary design optimization and Engineering design process.
The study incorporates disciplines such as Nonlinear programming and Trust region in addition to Mathematical optimization.
His Topology optimization research is multidisciplinary, incorporating elements of Probabilistic design, Topology, Continuum and Compliant mechanism.
His Cellular automaton research is multidisciplinary, incorporating perspectives in Nonlinear system and Structural engineering, Finite element method, Crashworthiness.
He has included themes like Systems design and Robustness in his Engineering design process study.
His work deals with themes such as Reliability engineering, Limit state design and Engineering optimization, which intersect with Probabilistic-based design optimization.
He most often published in these fields:
- Mathematical optimization (42.41%)
- Topology optimization (19.62%)
- Cellular automaton (18.35%)
What were the highlights of his more recent work (between 2008-2013)?
- Topology optimization (19.62%)
- Cellular automaton (18.35%)
- Structural engineering (8.23%)
In recent papers he was focusing on the following fields of study:
John E. Renaud spends much of his time researching Topology optimization, Cellular automaton, Structural engineering, Mathematical optimization and Topology.
His Topology optimization research is multidisciplinary, relying on both Mechanical engineering and Algorithm.
His Cellular automaton research integrates issues from Cell biology, Engineering design process and Finite element method, Crashworthiness.
His research investigates the link between Engineering design process and topics such as Constraint that cross with problems in Manufacturing cost, Simulation and Probabilistic design.
His research in Structural engineering focuses on subjects like Optimization problem, which are connected to Setpoint and Design for manufacturability.
His Mathematical optimization research includes themes of Weighting, Material Design and Trust region.
Between 2008 and 2013, his most popular works were:
- Crashworthiness Design Using Topology Optimization (93 citations)
- Anatomic variation in the elastic anisotropy of cortical bone tissue in the human femur (73 citations)
- Convergence analysis of hybrid cellular automata for topology optimization (20 citations)
In his most recent research, the most cited papers focused on:
- Mechanical engineering
- Mathematical optimization
- Composite material
His primary scientific interests are in Topology optimization, Cellular automaton, Mathematical optimization, Topology and Crashworthiness.
John E. Renaud connects Topology optimization with Optimal design in his study.
He regularly links together related areas like Homotopy method in his Mathematical optimization studies.
His work on Engineering design process expands to the thematically related Crashworthiness.
His study in the field of Probabilistic design also crosses realms of Design process.
John E. Renaud interconnects Fixed point, Fixed-point iteration, Constraint relaxation and Probabilistic-based design optimization in the investigation of issues within Karush–Kuhn–Tucker conditions.
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.
