His scientific interests lie mostly in Domain decomposition methods, FETI, Algorithm, Finite element method and Vibration. His research integrates issues of DUAL, Singular value decomposition and Mathematical optimization in his study of Domain decomposition methods. His FETI-DP study, which is part of a larger body of work in FETI, is frequently linked to Scalability, bridging the gap between disciplines.
His study in Algorithm is interdisciplinary in nature, drawing from both Basis and Linear system. His Vibration study integrates concerns from other disciplines, such as Dynamics, Control theory and Harmonic. His work is dedicated to discovering how Substructure, Control engineering are connected with Dynamic substructuring and other disciplines.
His primary areas of study are Control theory, Finite element method, Algorithm, Structural engineering and Vibration. His biological study spans a wide range of topics, including Control engineering and Robot. Within one scientific family, Daniel J. Rixen focuses on topics pertaining to Nonlinear system under Finite element method, and may sometimes address concerns connected to Applied mathematics, Model order reduction and Modal.
His Algorithm research integrates issues from Basis, Dynamic substructuring, Substructure and Domain decomposition methods. Much of his study explores Domain decomposition methods relationship to Mathematical optimization. The various areas that Daniel J. Rixen examines in his Structural engineering study include Turbine and Aeroelasticity.
Daniel J. Rixen mainly investigates Control theory, Robot, Vibration, Algorithm and Nonlinear system. In Control theory, Daniel J. Rixen works on issues like Work, which are connected to Limit. A large part of his Vibration studies is devoted to Modal analysis.
His Computation study in the realm of Algorithm interacts with subjects such as Interface. His work deals with themes such as Basis, Modal, Reduction and Applied mathematics, which intersect with Nonlinear system. His Basis study which covers Differential equation that intersects with Reduction and Dynamic substructuring.
Daniel J. Rixen mainly focuses on Control theory, Robot, Dynamic substructuring, Control engineering and Modal. As part of the same scientific family, Daniel J. Rixen usually focuses on Control theory, concentrating on Modal analysis and intersecting with Mechatronics and Robotic arm. His studies deal with areas such as Transformation, Coupling, Mathematical analysis and Point as well as Dynamic substructuring.
His research in Modal focuses on subjects like Nonlinear system, which are connected to Applied mathematics, Model order reduction, Nonlinear model order reduction and Variational equation. His work in Trajectory addresses subjects such as Compensation, which are connected to disciplines such as Displacement. His Kinematics research focuses on Hexapod and how it connects with Algorithm.
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Mechanical Vibrations: Theory and Application to Structural Dynamics
Michel Geradin;Daniel J. Rixen.
General Framework for Dynamic Substructuring: History, Review and Classification of Techniques
D. De Klerk;D. J. Rixen;S. N. Voormeeren.
AIAA Journal (2008)
FETI‐DP: a dual–primal unified FETI method—part I: A faster alternative to the two‐level FETI method
Charbel Farhat;Michel Lesoinne;Patrick LeTallec;Kendall Pierson.
International Journal for Numerical Methods in Engineering (2001)
Théorie des vibrations : application à la dynamique des structures
Michel Geradin;Daniel Rixen.
Published in <b>1993</b> in Paris by Masson (1993)
A dual Craig-Bampton method for dynamic substructuring
Daniel J. Rixen.
Journal of Computational and Applied Mathematics (2004)
Operational modal analysis in the presence of harmonic excitation
P. Mohanty;D.J. Rixen.
Journal of Sound and Vibration (2004)
A simple and efficient extension of a class of substructure based preconditioners to heterogeneous structural mechanics problems
Daniel J. Rixen;Charbel Farhat.
International Journal for Numerical Methods in Engineering (1999)
A comparison of model reduction techniques from structural dynamics, numerical mathematics and systems and control
B Bart Besselink;U Tabak;A Agnieszka Lutowska;van de N Nathan Wouw.
Journal of Sound and Vibration (2013)
General framework for transfer path analysis: History, theory and classification of techniques $
Maarten V. van der Seijs;Dennis de Klerk;Daniel J. Rixen.
Mechanical Systems and Signal Processing (2016)
Application of the FETI method to ASCI problems—scalability results on 1000 processors and discussion of highly heterogeneous problems
Manoj Bhardwaj;David Day;Charbel Farhat;Michel Lesoinne.
International Journal for Numerical Methods in Engineering (2000)
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