Stebėti
Samy Missoum
Samy Missoum
Professor. Aerospace and Mechanical Engineering. University of Arizona.
Patvirtintas el. paštas email.arizona.edu
Pavadinimas
Cituota
Cituota
Metai
Adaptive explicit decision functions for probabilistic design and optimization using support vector machines
A Basudhar, S Missoum
Computers & Structures 86 (19-20), 1904-1917, 2008
2572008
Constrained efficient global optimization with support vector machines
A Basudhar, C Dribusch, S Lacaze, S Missoum
Structural and Multidisciplinary Optimization 46 (2), 201-221, 2012
2022012
Limit state function identification using support vector machines for discontinuous responses and disjoint failure domains
A Basudhar, S Missoum, AH Sanchez
Probabilistic Engineering Mechanics 23 (1), 1-11, 2008
1622008
An improved adaptive sampling scheme for the construction of explicit boundaries
A Basudhar, S Missoum
Structural and Multidisciplinary Optimization 42, 517-529, 2010
1552010
Optimization under uncertainty of parallel nonlinear energy sinks
E Boroson, S Missoum, PO Mattei, C Vergez
Journal of Sound and Vibration 394, 451-464, 2017
792017
A convex hull approach for the reliability-based design optimization of nonlinear transient dynamic problems
S Missoum, P Ramu, RT Haftka
Computer methods in applied mechanics and engineering 196 (29-30), 2895-2906, 2007
702007
Reliability-based design optimization of nonlinear aeroelasticity problems
S Missoum, C Dribusch, P Beran
Journal of aircraft 47 (3), 992-998, 2010
632010
Study of a new local update scheme for cellular automata in structural design
S Missoum, Z Gürdal, S Setoodeh
Structural and multidisciplinary optimization 29, 103-112, 2005
572005
Machine learning for engineering design
JH Panchal, M Fuge, Y Liu, S Missoum, C Tucker
Journal of Mechanical Design 141 (11), 110301, 2019
562019
Uncertainty quantification and global sensitivity analysis of composite wind turbine blades
M Thapa, S Missoum
Reliability Engineering & System Safety 222, 108354, 2022
502022
A sampling-based approach for probabilistic design with random fields
A Basudhar, S Missoum
Computer Methods in Applied Mechanics and Engineering 198 (47-48), 3647-3655, 2009
492009
A generalized “max-min” sample for surrogate update
S Lacaze, S Missoum
Structural and Multidisciplinary Optimization 49, 683-687, 2014
452014
A multifidelity approach for the construction of explicit decision boundaries: application to aeroelasticity
C Dribusch, S Missoum, P Beran
Structural and Multidisciplinary Optimization 42, 693-705, 2010
432010
Stochastic optimization of nonlinear energy sinks
E Boroson, S Missoum
Structural and Multidisciplinary Optimization 55, 633-646, 2017
422017
Reliability analysis in the presence of aleatory and epistemic uncertainties, application to the prediction of a launch vehicle fallout zone
L Brevault, S Lacaze, M Balesdent, S Missoum
Journal of Mechanical Design 138 (11), 111401, 2016
392016
Probability of failure sensitivity with respect to decision variables
S Lacaze, L Brevault, S Missoum, M Balesdent
Structural and Multidisciplinary Optimization 52, 375-381, 2015
352015
Reliability assessment using probabilistic support vector machines
A Basudhar, S Missoum
International Journal of Reliability and Safety 7 (2), 156-173, 2013
342013
Optimization of nonlinear trusses using a displacement-based approach
S Missoum, Z Gürdal, W Gu
Structural and multidisciplinary optimization 23 (3), 214-221, 2002
332002
Convergence analysis for cellular automata applied to truss design
DJ Slotta, B Tatting, LT Watson, Z Gu¨ rdal, S Missoum
Engineering Computations 19 (8), 953-969, 2002
322002
Stochastic optimization of nonlinear energy sinks for the mitigation of limit cycle oscillations
B Pidaparthi, S Missoum
AIAA journal 57 (5), 2134-2144, 2019
312019
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Straipsniai 1–20