Edward J. Haug
Affiliations: | University of Iowa, Iowa City, IA |
Area:
Mechanical Engineering, MathematicsGoogle:
"Edward Haug"Bio:
Parents
Sign in to add mentorPhilip G. Kirmser | grad student | 1966 | Kansas State University | |
(Minimum Weight Design of Beams with Inequality Constraints on Stress and Deflection) |
Children
Sign in to add traineeRoger A. Wehage | grad student | 1980 | University of Iowa (E-Tree) |
Siddhartha S. Shome | grad student | 2000 | University of Iowa |
Horatiu C. German | grad student | 2006 | University of Iowa |
Xicheng Wang | grad student | 2007 | University of Iowa |
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Publications
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Haug EJ. (2020) Well-Posed Formulations for Nonholonomic Mechanical System Dynamics Journal of Computational and Nonlinear Dynamics. 15 |
Haug EJ. (2020) Parallel manipulator dynamics embedded in singularity free domains of functionality Mechanics Based Design of Structures and Machines. 1-18 |
Haug EJ. (2020) Parallel manipulator domains of singularity free functionality Mechanics Based Design of Structures and Machines. 1-25 |
Haug EJ. (2020) Well posed formulations of holonomic mechanical system dynamics and design sensitivity analysis Mechanics Based Design of Structures and Machines. 48: 111-121 |
Haug EJ. (2018) Extension of Maggi and Kane Equations to Holonomic Dynamic Systems Journal of Computational and Nonlinear Dynamics. 13: 121003 |
Haug EJ. (2018) Simulation of spatial multibody systems with friction Mechanics Based Design of Structures and Machines. 46: 347-375 |
Haug E. (2018) Simulation of friction and stiction in multibody dynamics model problems Mechanics Based Design of Structures and Machines. 46: 296-317 |
Haug EJ. (2017) An index 0 Differential-Algebraic equation formulation for multibody dynamics: Holonomic constraints Mechanics Based Design of Structures and Machines. 45: 479-506 |
Haug EJ. (2016) An Ordinary Differential Equation Formulation for Multibody Dynamics: Holonomic Constraints Journal of Computing and Information Science in Engineering. 16: 21007 |
Haug EJ. (2007) A Numerical method for optimization of distributed parameter structures with displacement constraints Optimal Control Applications & Methods. 3: 269-282 |