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Edward J. Haug

Affiliations: 
University of Iowa, Iowa City, IA 
Area:
Mechanical Engineering, Mathematics
Google:
"Edward Haug"
Bio:

DOI: 10.1115/1.3607869

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Parents

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Philip G. Kirmser grad student 1966 Kansas State University
 (Minimum Weight Design of Beams with Inequality Constraints on Stress and Deflection)

Children

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Roger 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
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