Christian Gogu’s publications
Books:
[1] Gogu, C. (2021). Mechanical
Engineering under Uncertainties, ISTE & Wiley, London.
[2]
Gogu, C. (2021). Ingénierie Mécanique en
Contexte Incertain, ISTE, London.
Journal papers:
[3] Deng, W., Le, H., Gogu, C.,
Nguyen, K. T., Medjaher, K., Morio, J., & Wu, D. (2025). Generic
Physics-Informed Machine Learning Framework for Battery Remaining Useful Life
Prediction Using Small Early-Stage Lifecycle Data. Applied Energy.
In Press
[4] Deng, W., Nguyen, K. T., Gogu, C., Medjaher, K., & Morio, J.
(2024). Enhancing Prognostics for Sparse Labeled Data Using Advanced
Contrastive Self-Supervised Learning with Downstream Integration. Engineering
Applications of Artificial Intelligence, 138, 109268, DOI:10.1016/j.engappai.2024.109268
[5] Cardoso, I., Dubreuil, S., N.
Bartoli, Gogu, C. and Salaün, M. (2024).
Constrained efficient global multidisciplinary design optimization using
adaptive disciplinary surrogate enrichment. Structural and Multidisciplinary
Optimization, 67(23),
DOI:10.1007/s00158-023-03736-0
[6] Deng, W., Nguyen, K. T., Medjaher, K., Gogu, C., & Morio, J. (2023). Rotor dynamics informed deep learning for detection, identification, and localization of shaft crack and unbalance defects. Advanced Engineering Informatics, 58, 102128, DOI:10.1016/j.aei.2023.102128
[7] Deng, W., Nguyen, K. T., Medjaher, K., Gogu, C., & Morio, J. (2023). Physics-informed
machine learning in prognostics and health management: State of the art and
challenges. Applied Mathematical Modelling, 124, 325-352,
DOI :10.1016/j.apm.2023.07.011
[8] Capasso, G., Gogu,
C., Bes, C., Navarro, J.P., & Kempeneers, M.
(2023) “Combined Importance Sampling and Separable Monte Carlo:
Analytical Variance Estimator and applications to Structural
Reliability”, International Journal of Reliability and Safety, 17, 3-4,
DOI:10.1504/IJRS.2023.135679
[9] Akrim, A., Gogu, C., Vingerhoeds, R. and
Salaün, M. (2023) “Self-Supervised Learning for Data Scarcity in a
Fatigue Damage Prognostic Problem”, Engineering Applications of
Artificial Intelligence, 120, 105837, DOI:10.1016/j.engappai.2023.105837
[10] Berthelin, G., Dubreuil, S., Salaün, M., N.
Bartoli and Gogu, C. (2022) Disciplinary Proper Orthogonal Decomposition and
Interpolation for the resolution of parametrized Multidisciplinary Analysis, International Journal for Numerical Methods
in Engineering, 123(15), 3594-3626, DOI:10.1002/nme.6981
[11] Nguyen, K.T.P., Medjaher, K., Gogu, C. (2022) Probabilistic deep learning methodology for
uncertainty quantification of remaining useful lifetime of multi-component
systems. Reliability Engineering & System Safety, 222, 108383, DOI:
10.1016/j.ress.2022.108383
[12] Bhat, K.V., Capasso, G., Coniglio, S., Morlier, J., Gogu, C. (2021) On some applications of
Generalized Geometric Projection to optimal 3D printing. Computers and Graphics, DOI:10.1016/j.cag.2021.10.006.
[13] Viana, F. A., Gogu,
C., & Goel, T. (2021). Surrogate modeling: tricks that endured the test
of time and some recent developments. Structural and Multidisciplinary
Optimization,
DOI: 10.1007/s00158-021-03001-2.
[14] Menz, M., Dubreuil,
S., Morio, J., Gogu, C., Bartoli,
N., & Chiron, M. (2021). Variance based
sensitivity analysis for Monte Carlo and importance sampling reliability
assessment with Gaussian processes. Structural Safety, 93,
102116, DOI: 10.1016/j.strusafe.2021.102116.
[15] Wang, Y., Zhou, J., Zheng, L. & Gogu, C. (2020). An end-to-end fault
diagnostics method based on convolutional neural network for rotating machinery
with multiple case studies. Journal of Intelligent Manufacturing, DOI: 10.1007/s10845-020-01671-1.
[16] Braydi, O., Gogu,
C., Paredes, M. (2020). Robustness and reliability investigations on a
nonlinear energy sink device concept. Mechanics
& Industry, 21(6), 603, DOI: 10.1051/meca/2020075.
[17] Zhou, J., Zheng, L., Wang, Y., & Gogu, C. (2020). A multistage deep
transfer learning method for machinery fault diagnostics across diverse working
conditions and devices. IEEE Access, 8, 80879-80898., DOI:
10.1109/ACCESS.2020.2990739.
[18] Dubreuil, S.,
Bartoli, N., Gogu, C., Lefebvre, T.
(2020). “Toward an efficient global multidisciplinary
design optimization algorithm”, Structural
and Multidisciplinary Optimization, 62(4), 1739-1765, DOI:
10.1007/s00158-020-02514-6.
[19] Menz, M., Gogu, C., Dubreuil, S., Bartoli, N.,
& Morio, J. (2020). Adaptive coupling
of reduced basis modeling and Kriging based active learning methods for
reliability analyses. Reliability
Engineering & System Safety, 196,
106771, DOI:
10.1016/j.ress.2019.106771
[20] Coniglio, S., Morlier, J., Gogu, C., Amargier, R. (2019) “Generalized
Geometry Projection: A Unified Approach for Geometric Feature Based Topology
Optimization”, Archives of
Computational Methods in Engineering, 27, 1573–1610, DOI:
10.1007/s11831-019-09362-8
[21] Fernandez-Godino,
G., Dubreuil, S., Bartoli, N., Gogu, C.,
Balachandar, S., Haftka, R.T. (2019). “Linear regression-based multifidelity
surrogate for disturbance amplification in multiphase explosion”, Structural and Multidisciplinary Optimization, 60(6),
2205-2220, DOI: 10.1007/s00158-019-02387-4.
[22] Wang, Y., Binaud, N., Gogu, C., Bes, C. & Fu, J. (2019). “A model-based prognostics
method for fatigue crack growth in fuselage panels”, Chinese Journal of Aeronautics, 32(2), 396-408, DOI:
10.1016/j.cja.2018.11.010.
[23] Coniglio, S., Gogu,
C., Amargier, R., Morlier, J. (2019). “Engine Pylon Topology
Optimization Framework Based on Performance and Stress Criteria”, AIAA Journal, 57(12), 5514-5526,
DOI: 10.2514/1.J058117.
[25] Coniglio, S., Gogu,
C., Morlier, J. (2018). “Weighted Average Continuity Approach and
Moment Correction - New strategies for non-consistent mesh projection in
structural mechanics”, Archives of
Computational Methods in Engineering, 26(5), 1415-1443, DOI:
10.1007/s11831-018-9285-0.
[26] Dubreuil, S.,
Bartoli, N., Gogu, C., Lefebvre, T.,
Mas Colomer, J. (2018). “Extreme value oriented random field discretization based on an hybrid polynomial chaos expansion - Kriging
approach”, Computer Methods in
Applied Mechanics and Engineering, 332, 540-571.
[27] Wang, Y., Gogu,
C., Binaud N., Bes C., Haftka, R.T. & N.H. Kim (2018),
“Predictive airframe maintenance strategies using model-based
prognostics”, Journal of Risk and
Reliability, 232(6), 690-709.
[28] Mitjana, F., Cafieri, S., Bugarin, F., Gogu, C., Castanié,
F. (2018). “Optimization of structures under buckling constraint using
frame elements”, Engineering
Optimization, 51(1), 140-159.
[29] Hazyuk, I., Budinger, M., Sanchez, F., & Gogu, C. (2017). Optimal design of
computer experiments for surrogate models with dimensionless variables. Structural and Multidisciplinary Optimization, 65(3), 663-679.
[30] Soilahoudine, M., Gogu, C., Bes, C. (2017). Accelerated Adaptive Surrogate-Based Optimization
Through Reduced-Order Modeling, AIAA
Journal, 55(5), 1681-1694.
[31] Wang, Y., Gogu,
C., Binaud N., Bes C., Haftka, R.T. & N.H. Kim (2017). A cost driven
predictive maintenance policy for structural airframe maintenance, Chinese Journal of Aeronautics, 30(3),
1242-1257.
[32] Dubreuil, S.,
Bartoli, N., Gogu, C., &
Lefebvre, T. (2016). Propagation of
modeling uncertainty by polynomial chaos expansion in multidisciplinary
analysis. Journal of Mechanical Design,
138(11), 111411.
[33] Gogu, C., Chaudhuri, A., & Bes, C. (2016). How adaptively constructed reduced order models can
benefit sampling based methods for reliability analyses. International Journal of Reliability, Quality and Safety Engineering,
23(5), 1650019.
[34] Wang, Y., Binaud, N., Gogu, C., Bes, C. & Fu, J. (2016). “Determination of
Paris' law constants and crack length evolution via Extended and Unscented Kalman
filter: An Application to Aircraft Fuselage Panels”, Mechanical Systems and Signal Processing, 80(1),
262-281.
[35] Gogu, C. (2015). “Improving the efficiency of large
scale topology optimization through on-the-fly reduced order model
construction”, International
Journal for Numerical Methods in Engineering, 101(4), 281-304.
[36] Budinger, M.,
Passieux, J.-C., Gogu C., &
Fraj. A. (2014). “Scaling-law-based
metamodels for the sizing of mechatronic systems”, Mechatronics, 24(7), 775-787.
[37] Gogu, C., & Passieux, J.-C. (2013). “Efficient surrogate construction by combining
response surface methodology and reduced order modeling”, Structural and Multidisciplinary
Optimization, 47(6), 821-837.
[38] Jaeger, L., Gogu,
C., Segonds, S., & Bes, C. (2013). “Aircraft Multidisciplinary
Design Optimization under both Model and Design Variables Uncertainty”, Journal of Aircraft, 50(2), 528-538.
[39] Gogu, C., Yin, W., Haftka, R.T., Ifju, P.,
Molimard, J., Le Riche, R., & Vautrin, A. (2013). “Bayesian Identification of Elastic Constants in Multi-Directional
Laminate from Moiré Interferometry Displacement Fields”, Experimental Mechanics, 53(4), 635-648.
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experimental measurements
[40] Pattabhiraman, S., Gogu, C., Kim, N.H., Haftka, R.T., & Bes, C. (2012).
“Skipping unnecessary structural airframe maintenance using an onboard
structural health monitoring system”, Journal
of Risk and Reliability, 226(5), 549-560.
[41] Gogu, C., Qiu, Y., Segonds, S., & Bes, C. (2012).
“Optimization Based Algorithms for Uncertainty Propagation Through
Functions with Multidimensional Output Within Evidence Theory”, Journal of Mechanical Design, 134(10),
914.
[42] Segonds, S., Gogu, C., Qiu, Y., Bes, C., &
Mauffrey, A. (2011). “Design
optimization under evidence based uncertainty with application to an engine
connecting rod”, International
Journal of Design and Innovation Research, 5(3), 77-91.
[43] Gogu, C., Haftka, R. T., Le Riche, R., &
Molimard, J. (2010). “Effect of
Approximation Fidelity on Vibration Based Elastic Constants
Identification”, Structural and
Multidisciplinary Optimization, 42(2), 293-304.
[44] Gogu, C., Haftka, R. T., Le Riche, R., Molimard,
J., & Vautrin, A. (2010). “Introduction
to the Bayesian Approach Applied to Elastic Constants Identification”, AIAA Journal, 48(5),893-903.
[45] Gogu, C., Haftka, R. T., Bapanapalli,
S. K., & Sankar, B. V. (2009). “Dimensionality Reduction Approach for
Response Surface Approximations: Application to Thermal Design”, AIAA Journal, 47(7),1700-1708.
[46] Gogu, C., Matsumura, T.,
Haftka, R. T., & Rao, A. V. (2009). “Aeroassisted Orbital Transfer Trajectory Optimization Considering
Thermal Protection System Mass”, Journal
of Guidance, Control and Dynamics, 32(3), 927-938.
[47] Gogu, C., Bapanapalli, S. K.,
Haftka, R. T., & Sankar, B. V. (2009). “Comparison of Materials for Integrated
Thermal Protection Systems for Spacecraft Reentry”, Journal of Spacecraft and Rockets, 46(3), 501-513.
Book chapters:
[48] Gogu, C. (2021). “Uncertainty modeling”, Mechanical Engineering under Uncertainties,
ISTE & Wiley, London.
[49] Dubreuil, S.,
Bartoli, N., Gogu, C., &
Lefebvre, T. (2021). “Reduction
of Uncertainties in Multidisciplinary Analysis Based on a Polynomial Chaos
Sensitivity Study, Mechanical Engineering
under Uncertainties, ISTE & Wiley, London.
[50] Gogu, C. (2021). “Modélisation des
incertitudes”, Ingénierie
Mécanique en Contexte Incertain, ISTE, London.
[51] Dubreuil, S.,
Bartoli, N., Gogu, C., &
Lefebvre, T. (2021). “Réduction d’incertitudes en analyse
multidisciplinaire basée sur une étude de sensibilité par
chaos polynomial”, Ingénierie
Mécanique en Contexte Incertain, ISTE, London.
[52] Waycaster, G., Bes, C., Bilotkach, V., Gogu,
C., Haftka, R., Kim, N.H. (2015). “The effect of stakeholder
interactions on design optimization”, Engineering and Applied Sciences Optimization, Springer.
Conference papers:
[53] Deng, W., Nguyen, K. T., Gogu, C.,
Mejaher, K., Morio, J., Le, H., & Wu, D. (2024). A Novel PIML Architecture
with Innovative Learning Paradigm Applied in Battery Prognostics. 10th
International Conference on Control, Decision and Information Technologies (CoDIT), Valletta, Malta, 1-4th July 2024, IEEE Proceedings
pp. 248-253
[54] Muradas,
D., Marquier, S., Morlier, J. & Gogu, C. (2024). Control Surface Sizing and Design Through
Integrated MDO Approach : Enhancing Load Alleviation
While Preserving Handling Qualities. 20th International Forum on
Aeroelasticity and Structural Dynamics (IFASD), 17-21 June 2024, The Hague, The
Netherlands.
[55] Gogu, C. (2024). Prise en compte explicite d’incertitudes - Explorations dans deux branches de l’aéronautique à fort potentiel (présentation plénière), 13èmes Journées de la Fiabilité des Matériaux et des Structures (JFMS), 17-19 juin 2024, Rouen, France.
[56] Garcia
Pis, A., Gogu, C., Grihon, S., Michel, L., Coniglio,
S. (2024). Investigating the Merits of Double-Double and Quad Composites Structural
Optimization for Aeronautic Structures, 9th European Congress on
Computational Methods in Applied Sciences and Engineering (ECCOMAS), 3-7
June 2024, Lisboa, Portugal
[57] Nguyen, K. T., Deng, W., Mejaher, K., Gogu, C., & Morio, J. (2024). From Theory to
Practice: Harnessing PIML for Enhanced PHM Capabilities, 9th European
Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS),
3-7 June 2024, Lisboa, Portugal
[58] Cardoso,
I., Dubreuil, S., Bartoli, N., Gogu, C., & Salaün,
M. (2024). Solving PDE constrained MDO problems using non-intrusive disciplinary
surrogates, 9th European Congress on Computational Methods in
Applied Sciences and Engineering (ECCOMAS), 3-7 June 2024, Lisboa, Portugal
[59] Aguiar, J.V.G.E., & Gogu, C.
(2024). Investigating merits of deep self-supervised learning on a fatigue RUL
prognostics application. 2024 IEEE Aerospace Conference,
2-9th March 2024 Big Sky, MT, USA.
[60] Cardoso,
I., Dubreuil, S., Bartoli, N., Gogu, C., & Salaün,
M. (2024). Model order reduction for parameterized multidisciplinary analysis using
disciplinary surrogates: application to non-linear solvers. AIAA SCITECH
2024 Forum. 8-12th January 2024, Orlando, FL, USA, AIAA paper 2024-1407,
[61] Deng, W., Nguyen, K. T., Medjaher,
K., Gogu, C., & Morio, J. (2023).
A few-shot learning framework for rotor unbalance and shaft crack fault
diagnostic based on physics-informed neural network. 14th
International Workshop On Structural Health
Monitoring, 12-14th September, Stanford, CA, USA.
[62] Muradas, D., Marquier,
S., Morlier, J. & Gogu, C.
“A Preliminary Low-Fidelity MDO Approach for Load Alleviation Through
Movables on HAR Wing”, Aerobest 2023, 19th-23rd July
2023, Lisbon, Portugal.
[63] Deng, W., Nguyen, K. T., Medjaher,
K., Gogu, C., & Morio, J.
(2023). Bearings RUL prediction based on contrastive self-supervised learning.
Proceedings of IFAC 2023 - Papers OnLine, 56(2),
11906-11911.
[64] Capasso, G., Gogu, C., Bes, C., Navarro, J.P., & Kempeneers,
M. “Semi-Probabilistic Codesign Framework for Tolerance bound Optimization
complying with Static Strength Requirements”, 15th World Congress on Structural and Multidisciplinary
Optimization, 5-9 June 2023, Cork, Ireland
[65] Cardoso, I., Dubreuil, S., N.
Bartoli, Salaün, M. and Gogu, C. “Bayesian optimization formulation
for constrained multidisciplinary problems”, 15th World Congress on Structural and Multidisciplinary
Optimization, 5-9 June 2023, Cork, Ireland
[66] Garcia Pis,
A., Grihon, S., Gogu, C., Michel, L., Coniglio, S. “Mixed variable structural optimisation applied to a double-double composite
panel”, 15th World
Congress on Structural and Multidisciplinary Optimization, 5-9 June 2023,
Cork, Ireland
[67] Grihon, S., Garcia Pis, A., Gogu, C.,
Michel, L., Coniglio, S. “Multiobjective mixed variable structural
optimization with a fuselage clip application”, 15th World Congress on Structural and Multidisciplinary
Optimization, 5-9 June 2023, Cork, Ireland
[68] Deng, W., Nguyen, K. T., Medjaher, K., Gogu, C. & Morio, J., “Physics informed machine learning for fault diagnostics and prognostics in the context of sparse and noisy data”. Congrès annuel de la Société Française d’Automatique, de Génie Industriel et de Productique, Marseille, 7-9 juin 2023.
[69] Cardoso, I., Berthelin, G., Dubreuil, S., Salaün, M., N. Bartoli and Gogu, C. “Model Order Reduction and Bayesian Optimization for MDO problems”, 25ème Congrès Français de Mécanique (CFM), Nantes, 29 août - 2 septembre 2022.
[70]
Capasso,
G., Gogu, C., Bes, C., Navarro,
J.P., & Kempeneers, M. “Coupling Separable Monte Carlo with Kriging-based Adaptive Reliability
Analyses in High Dimensional Problems”, 15th World Congress
on Computational Mechanics (WCCM-XV), 31st July – 5th
August 2022, Yokohama, Japan.
[71] Deng, W., Nguyen, K. T., Gogu, C.,
Morio, J., & Medjaher, K. “Physics-informed lightweight Temporal
Convolution Networks for fault prognostics associated to bearing stiffness
degradation”. PHM Society European Conference, Turin, Italy, 6-8th
July 2022.
[72] Capasso, G., Gogu, C., Bes,
C., Navarro, J. P., & Kempeneers, M.
“Kriging Adaptive Learning for High Dimensional Reliability Assessment
with a Variance-based Learning and Stopping criterion”, 2022 MascotNum Annual Conference, Clermont Ferrand, France,
7-9th June 2022.
[73] Akrim, A., Gogu, C.,
Vingerhoeds, R. & Salaün, M. “Remaining Useful Life prediction
with a Deep Self-Supervised Learning Approach”, 8th
European Congress on Computational Methods in Applied Sciences and Engineering
(ECCOMAS), Oslo, Norway, 5-9th June 2022
[74] Akrim, A., Gogu, C., de Nerville, T. G., Strähle, P., Pagou, B. W.,
Salaün, M., & Vingerhoeds, R. “A Framework for Generating Large
Data Sets for Fatigue Damage Prognostic Problems”. 2022 IEEE
International Conference on Prognostics and Health Management (ICPHM),
Detroit, MI, USA, 6-8th June 2022.
[75] Capasso, G., Gogu, C., Bes,
C., Navarro, J. P., & Kempeneers, M.
“Managing High Input Dimensionality in Kriging-based Adaptive Reliability
Analyses”, AIAA Paper 2022-1870, AIAA Scitech
2022, San Diego, CA, USA, 3-7th January 2022.
[76] Capasso, G., Gogu,
C., Bes, C., Navarro, J.P., & Kempeneers, M. “An analytical Variance Estimator of Separable Monte
Carlo combined with Importance Sampling”, 31st European Safety and Reliability Conference, Angers,
France, 18-23rd September 2021
[77] Dubreuil, S., Bartoli, N., Berthelin, G., Vila, O. C.,
Gogu, C., Lefebvre, T., Morlier, J.
& Salaün, M., “Development of MDO formulations based on
disciplinary surrogate models by Gaussian Processes”, AeroBest
2021 - An ECCOMAS Thematic Conference on Multidisciplinary Design Optimization
of Aerospace Systems, Online, July
21-23, 2021.
[78] Capasso, G., Coniglio, S., Bhat, K.V., Gogu, C., Morlier, J., “Topology Optimization with Generalized Geometric
Projection: extension to Additive Layer Manufacturing self-supported
designs”, 14th World
Congress on Structural and Multidisciplinary Optimization, Online, 13-18th
June 2021
[79] Berthelin, G., Dubreuil, S., Salaün, M., Gogu, C. and N. Bartoli, “Model Order Reduction coupled with Efficient Global Optimization for
Multidisciplinary Optimization”, 14th
World Congress on Computational Mechanics & ECCOMAS 2020, Online, 11-15th
July 2021
[80] Capasso, G., Coniglio, S., Gogu, C., Morlier, J., “Topology Optimization of Additive Layer Manufacturing
products using Generalized Geometric Projection”, 14th World Congress on Computational Mechanics & ECCOMAS
2020, Online, 11-15th July 2021
[81] Coniglio, S., Morlier, J., Gogu, C., Amargier, R., “An introduction to Generalized
Geometry Projection, a unified framework for feature-based topology
optimization methods”, 14th World Congress on Computational
Mechanics & ECCOMAS 2020, Online, 11-15th July 2021
[82] Menz, M., Dubreuil, S., Morio, J., Bartoli, N., Gogu, C., “Variance analysis of
AK-MCS failure probability estimator and algorithmic application”, 30th European Safety and Reliability
Conference (ESREL) and 15th Probabilistic Safety Assessment and
Management Conference (PSAM), Online, 2-5th November 2020.
[83] Menz, M., Gogu, C., Dubreuil, S., Bartoli, N.,
Morio, J., “Couplage adaptatif des méthodes d'analyses de
fiabilité par apprentissage actif basées sur les
métamodèles de Krigeage et de la modélisation en base
réduite”, 24ème
Congrès Français de Mécanique, 26-30 Août 2019,
Brest, France.
[84] Menz, M., Gogu,
C., Dubreuil, S., Bartoli, N., Morio, J., “Towards reliability
analysis by adaptive sampling with multiple fidelity levels by the use of
reduced basis methods”, 3rd
International Conference on Uncertainty Quantification in Computational
Sciences and Engineering, Jun 2019, Crete, Greece
[85] Coniglio, S., Gogu,
C., Amargier, R., Morlier, J., “Application of geometric feature
based topology optimization to engine pylon architecture design
including engine performance criteria”, 13th Wolrd Congress on Structural
and Multidisciplinary Optimization, May 2019, Beijing, China
[86] Berthelin, G.,
Dubreuil, S., Salaün, M., Gogu, C.
and N. Bartoli, “Couplage Optimisation et Réduction de
Modèles par Projection Application à la conception avion
avant-projet”, 14ème
Colloque National en Calcul des Structures,13-17 Mai 2019, Giens, France.
[87] Gogu, C.,
“Vers l’amélioration de la maintenance des structures
aéronautiques par des approches prédictives et une prise en
compte explicite des incertitudes”. Journée
de la conception robuste et fiable - 2 avril 2019, Toulouse, France
[88] Coniglio, S., Gogu,
C., Morlier, J., “Improvements for Structural Model Interfacing between
Non-conforming Meshes”, 13th
World Congress on Computational Mechanics, New York, NY, USA, 22-27th
July 2018
[89] Dubreuil, S., Bartoli, N., Lefebvre, T., Gogu, C., “Efficient global
multidisciplinary optimization based on surrogate models”. AIAA Paper
2018-3745, AIAA Aviation Forum 2018,
Atlanta, GA, USA, 25-29th June 2018
[90] Dubreuil, S.,
Bartoli, N., Lefebvre, T., Gogu, C.,
“Propagation d’incertitude de modèle pour
l’optimisation multidisciplinaire”, 44ème Congrès National d'Analyse
Numérique CANUM 2018, Cap d'Agde, France, 28 mai – 1er
juin 2018
[91] Gogu, C.,
“Prognostics and health management: current state-of-the-art for
optimizing aircraft structural maintenance”, Keynote presentation, 19th International Conference on
Thermal, Mechanical and Multi-Physics Simulation and Experiments in
Microelectronics and Microsystems, Toulouse, France, 15-18th
April 2018
[92] Menz, M., Gogu, C., Dubreuil, S., Bartoli, N.,
Morio, J., “Vers des analyses de fiabilité à
fidélité adaptative par l’utilisation de modèles en
base réduite”, 10èmes
journées Fiabilité des Matériaux et des Structures,
Bordeaux, 27-28 Mars 2018
[93] Dubreuil, S., Bartoli, N., Lefebvre, T., Gogu, C., “Multidisciplinary
optimization based on Kriging surrogate models”, International Workshop on
Optimization and Learning: Challenges and Applications - OLA 2018, Alicante,
Spain, 26-28th February 2018
[94] Coniglio, S., Gogu,
C., Amargier, R., Morlier, J., “Original pylon architecture design
using 3D HPC topology optimization”, AIAA
Scitech 2018, Gaylord Palms, Florida, USA, 8-12th
January 2018
[95] Fernandez-Godino, G., Haftka, R.T., Balachandar, S., Gogu, C., Dubreuil, S., Bartoli, N.,
“Noise Filtering and Uncertainty Quantification in Surrogate based
Optimization”, AIAA Scitech 2018, Gaylord Palms, Florida, USA, 8-12th
January 2018
[96] Gogu, C., “New Prognostics-based
Structural Maintenance Strategies for Civil Aircraft”, Invited lecture, Prognostics and Health Management Asia
Pacific (PHMAP) 2017, Jeju, South Korea,12-15th July 2017
[97] Dubreuil, S., Gogu,
C., Bartoli, N., Lefebvre, T. , “An adaptive
kriging based approach to robust optimization”, 2nd International Conference on Uncertainty
Quantification in Computational Sciences and Engineering, Rhodes Island,
Greece, 15-17th June 2017
[98] Gogu, C., Chaudhuri, A.,
Bes, C. “Accelerating sampling based methods for
reliability analysis through on the fly reduced order modeling”, 12th
World Congress on Structural and Multidisciplinary Optimization, Braunschweig,
Germany, 5-9th June 2017
[99] Dubreuil, S., Bartoli, N., Gogu, C., Lefebvre, T. , “Adaptive
random field discretization for optimization under uncertainties”, 12th
World Congress on Structural and Multidisciplinary Optimization, Braunschweig,
Germany, 5-9th June 2017
[100]
Mitjana, F.,
Cafieri, S., Bugarin, F., Gogu, C., Castanié, F., “Truss-like structures
optimization under buckling constraints using frame elements with anisotropic
cross sections”, 12th World Congress on Structural and
Multidisciplinary Optimization, Braunschweig, Germany, 5-9th June
2017
[101]
Coniglio, S., Gogu, C., Amargier, R., Morlier, J.,
“Pylon and engine mounts performance driven structural topology
optimization”, 12th World Congress on Structural and
Multidisciplinary Optimization, Braunschweig, Germany, 5-9th June
2017
[102]
Dubreuil, S.,
Bartoli, N., Gogu, C., &
Lefebvre, T. “Multidisciplinary optimization by surrogate models:
handling epistemic uncertainties by polynomial chaos expansion”, Proceedings of 7th European
Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS
2016), Crete, Grece, 5-10th June 2016.
[103] Wang, Y., Gogu,
C., Binaud N. and C. Bes. “Approches
probabilistes pour la maintenance prédictive de panneaux de fuselage
aéronautiques”, 9èmes
Journées Nationales Fiabilité des matériaux et des
Structures, Nancy, France, 31 mars – 1er avril 2016
[104] Wang, Y., Gogu,
C., Binaud N. and C. Bes. “Predicting remaining useful life by fusing
SHM data based on Extended Kalman filter”. Proceedings of 25th
European Safety and Reliability Conference, Zurich, Switzerland, 7-10th
September 2015
[105] Wang, Y., Gogu,
C., Binaud N. and C. Bes. “Comparing structural airframe maintenance
strategies based on probabilistic estimates of the remaining useful service
life”. 22ème Congrès Français de Mécanique,
Lyon, 24-28 Août 2015
[106] Gogu, C., “On the fly construction of reduced order
models for topology optimization”. Proceedings of 11th World
Congress on Structural and Multidisciplinary Optimization, Sydney, Australia,
7-12th June 2015
[107]
Soilahoudine,
M., Gogu, C., Bes, C.,
“Réduction drastique des temps de calculs pour
l’optimisation globale à base de métamodèles par
réduction de modèles”. 12ème
Colloque National en Calcul des Structures, Giens, 18-22 Mai 2015
[108]
Gogu, C., “Une
méthode par résolution en base réduite pour augmenter
l’efficacité de l’optimisation topologique des
structures”. 12ème Colloque National en Calcul des
Structures, Giens, 18-22 Mai 2015
[109] Waycaster, G., Bes, C., Bilotkach, V., Gogu,
C., Haftka, R., Kim, N.H., “Structural Design Optimization with
Economic Uncertainty: An Application to Interactions between Designers,
Airlines, and Regulators”, ASME
2014 International Mechanical Engineering Congress and Exposition,
Montréal, Canada, 14-20th November 2014
[110] Cot, L., Wang, Y., Bes, C., Gogu, C., “Scheduled and SHM Structural Airframe Maintenance
Applications Using a New Probabilistic Model”, 7th European Workshop on Structural Health Monitoring,
Nantes, France, 8-11th July 2014
[111] Soilahoudine, M., Gogu,
C., Bes, C., “More efficient optimization of large
scale finite element problems through an interaction between adaptive
surrogate based optimization and reduced order modeling”, OPT-i
international conference, Keynote presentation, Kos, Greece, 4-6th
June 2014
[112] Waycaster, G., Haftka, R., Kim, N.H., Bilotkach, V., Gogu, C., Bes, C., “Relationship between Fleet
Characteristics and Welfare of Stakeholders of Commercial Air Transportation:
Airlines, Manufacturers, and the Public”, 52nd Aerospace Sciences Meeting, National Harbor,
Maryland, USA, 13-17th January 2014
[113] Cot, L., Bes, C., Gogu,
C., “Structural airframe maintenance strategy comparison: a new
approach”, 9th International Workshop on Structural Health
Monitoring, Stanford, CA, USA, 10-12th September 2013
[114] Gonzalez, M., Binaud, N., Espinosa, C., Gogu, C., Morlier, J., Quoniam S.,
“Towards a consideration of the uncertainties in flight loads”, 5th European Conference for
Aeronautics and Space Sciences, Munich, Germany, 1-5th July 2013
[115] Gogu, C., Passieux, J.-C., “Reduced basis surrogate
modelling approach applied to the identification of mechanical
properties”, 4th
International Conference on Integrity, Reliability and Failure of Mechanical
Systems, Funchal, Portugal, 23-27th June 2013
[116] Gonzalez, M., Gogu,
C., Binaud, N., Espinosa, C., Morlier, J., Quoniam S., “Uncertainty
quantification in aircraft load calibration”, 10th World Congress on Structural and Multidisciplinary
Optimization, Orlando, Florida, USA, 19-24th May 2013
[117] Jaeger, L., Jorquera, T., Lemouzy,
S., Gogu, C., Segonds, S., Bes, C.,
“Uncertainty propagation in multi-agent system for multidisciplinary
optimization problem”, 10th
World Congress on Structural and Multidisciplinary Optimization, Orlando,
Florida, USA, 19-24th May 2013
[118] Gogu C., Passieux, J.-C., “The key points approach:
combining response surface methodology and reduced order modeling to achieve
drastic reduction in surrogates construction
cost”, 10th World
Congress on Structural and Multidisciplinary Optimization, Orlando,
Florida, USA, 19-24th May 2013
[119] Cot, L.D., Gogu,
C., Bes, C., “Quantification of the effect of SHM in structural
aircraft maintenance in uncertain environment”, 6th European Congress on Computational Methods in Applied
Sciences and Engineering (ECCOMAS 2012), Vienna, Austria, 10-14th
Sept. 2012
[120] Gogu, C., Pattabhiraman, S., Cot, L.D., Kim, N.H., Haftka, R.,
Bes, C., “Comparing aircraft maintenance approaches based on structural
health monitoring”, PSAM 11 &
ESREL 2012, Helsinki, Finland, 25-29th June 2012
[121]
Gogu, C., Cot, L.D., Bes,
C., “Comparaison de stratégies de maintenance de structures
aéronautiques basées sur le suivi de l’état de
santé embarqué”, 7èmes
Journées Nationales sur la Fiabilité, Chambéry,
France, 4-6 juin 2012
[122]
Jaeger,
L., Gogu, C., Segonds, S., Bes, C.,
“Conception préliminaire avion avec prise en compte
d’incertitudes de modèles et de paramètres”, 13ème
Colloque National AIP-Primeca, Mont Dore, 27-30 mars
2012
[123] Pattabhiraman, S., Gogu, C., Kim, N.H., Haftka, R., Bes, C., “Effect of
condition-based maintenance strategy aligned with scheduled maintenance”,
53rd AIAA/ASME/ASCE/AHS/ASC
Structures, Structural Dynamics, and Materials Conference, Honolulu, HI,
23-26th April 2012
[124] Jaeger, L., Gogu,
C., Segonds, S., Bes, C., “Multidisciplinary optimization under
uncertainty for preliminary aircraft sizing”, SAE 2011 Aerotech Congress,
Toulouse, 18-21st October 2011
[125]
Jaeger,
L., Gogu, C., Segonds, S., Bes, C.,
“Optimisation multidisciplinaire sous incertitudes en conception
préliminaire avion”, 20ème Congrès
Français de Mécanique, Besançon, 29 août - 2 sept.
2011
[126]
Gogu, C., Yin, W., Haftka,
R. T., Ifju, P.G., Molimard, J., Le Riche, R., Vautrin, A., “Approche bayesienne pour gérer les incertitudes dans
l’identification à partir de mesures de champ”, 20ème
Congrès Français de Mécanique, Besançon, 29
août – 2 sept. 2011
[127] Gogu, C., Qiu, Y., Segonds, S., Bes, C., “Belief and
plausibility approximation methods for multidimensional functions”, 13th AIAA Non-Deterministic
Approaches Conference, Denver, CO, 4-7th
April 2011
[128] Viana, F.A.C., Gogu,
C., Haftka, R. T., “Making the most out of surrogate models: tricks
of the trade”, ASME 2010
International Design Engineering Technical Conferences & Computers and
Information in Engineering Conference, Montreal, Canada, August 2010
[129] Gogu, C., Yin, W., Haftka, R. T., Ifju, P.G., Molimard, J., Le
Riche, R., Vautrin, A., “Applying a Bayesian
Approach to Identification of Orthotropic Elastic Constants from Full Field
Displacement Measurements”, 14th
International Conference on Experimental Mechanics, Poitiers, France, July
2010
[130]
Gogu, C., Haftka, R. T.,
Le Riche, R., “Faciliter l’identification bayesienne
à partir de mesures de champ par la méthode des surfaces de
réponse et l’expansion de Karhunen Loeve”, 6èmes
Journées Nationales sur la Fiabilité, Toulouse, France, March
2010
[131] Gogu, C., Haftka, R. T., Le Riche, R., Molimard, J., Vautrin, A., “Dimensionality Reduction of Full Fields
by the Principal Components Analysis”, 17th International Conference on Composite Materials
(ICCM17), Edinburgh, UK, July 2009
[132]
Gogu, C., Le Riche, R.,
Molimard, J., Vautrin, A., Haftka, R.T., “Une approche bayesienne de l’identification des constantes
élastiques orthotropes de pli à partir de tests de vibration de
flexion sur stratifié”, 16èmes
Journées Nationales sur les Composites, Toulouse, France, June 2009
[133] Gogu, C., Haftka, R. T., Le Riche, R., Molimard, J.,
“High Fidelity Frequency Response Surface Approximations for Vibration
Based Elastic Constants Identification”, 8th World Congress on Structural and Multidisciplinary
Optimization (WCSMO8), Lisbon, Portugal, June 2009
Download Powerpoint
with recorded audio presentation
[134] Gogu, C., Haftka, R. T., Le Riche, R., Molimard, J., Vautrin, A., Sankar, B. V., “Bayesian Statistical
Identification of Orthotropic Elastic Constants Accounting for Measurement and Modeling Errors”, AIAA paper 2009-2258, 11th AIAA Non-Deterministic
Approaches Conference, Palm Springs, CA, May 2009
[135] Gogu, C., Haftka, R. T., Le Riche, R., Molimard, J., Vautrin, A., “A Bayesian
Framework for Orthotropic Elastic Constants Identification Accounting for both
Error and Variability”, 8th. World
Congress on Computational Mechanics (WCCM8) and 5th. European Congress on Computational Methods in
Applied Sciences and Engineering (ECCOMAS 2008), Venice, Italy, July 2008
[136] Gogu, C., Haftka, R. T., Le Riche, R., Molimard, J., Vautrin, A., Sankar, B. V., “Comparison between the basic least squares and the
Bayesian approach for elastic constants identification”, 6th International Conference on
Inverse Problems in Engineering: Theory and Practice, Dourdan, France, June
2008
Paper
also published in Journal of Physics:
Conference Series, Vol. 135, No. 012045, 2008
[137] Gogu, C., Haftka, R. T., Le Riche, R., Molimard, J., Vautrin, A., “Illustrating
the advantages of a Bayesian over a least squares approach to material
properties identification”, ESM
Centennial Mechanics Conference: Liviu Librescu Session, Blacksburg, VA, May 2008
[138] Sharma, A., Gogu,
C., Martinez, O. M., Sankar, B. V., Haftka, R. T., “Multi-Fidelity
Design of an Integrated Thermal Protection System for Spacecraft
Reentry”, AIAA paper 2008-2062, 49th
AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials
Conference, Schaumburg, IL, April 2008
[139] Gogu, C., Matsumura, T., Haftka, R. T., Rao, A. V.,
“Aero-assisted orbital transfer vehicle trajectory optimization
considering thermal protection system weight”, AIAA paper 2008-898, 46th AIAA Aerospace Sciences
Meeting and Exhibit, Reno, NV, January 2008
[140] Gogu, C., Haftka, R. T., Bapanapalli,
S. K., Sankar, B. V., “Reducing the number of variables in a response
surface approximation – Application to thermal design”, ASME paper
DETC2007-34674, ASME 2007 International
Design Engineering Technical Conferences & Computer and Information in
Engineering Conference IDETC/CIE 2007, Las Vegas, NV, September 2007
[141] Gogu, C., Smarslok, B. P., Haftka,
R. T., Sankar, B. V., “Worst-case effects on thermal buckling of spatial
variability in material properties”, 22nd Annual
American Society for Composites Technical Conference, Seattle, WA,
September 2007
[142] Smarslok, B. P., Gogu, C., Haftka, R.
T., Ifju P. G., “Detecting and Analyzing Non-uniformity in Mechanical and
Thermal Properties of Composite Laminates”, 22nd
Annual American Society for Composites Technical Conference,
Seattle, WA, September 2007
[143] Gogu, C., Bapanapalli, S. K.,
Haftka, R. T., Sankar, B. V., “Comparison of Materials for Integrated
Thermal Protection Systems for Spacecraft Reentry”, AIAA paper 2007-1860,
3rd AIAA Multidisciplinary
Design Optimization Specialist Conference, Honolulu, HI, April 2007
[144] Gogu, C., Haftka, R. T., Bapanapalli,
S. K., Sankar, B. V., “Applying dimensional analysis to response surface
methodology to reduce the number of design variables”, 7th World Congresses of
Structural and Multidisciplinary Optimization, Seoul, Korea, May 2007
[145] Riccius, J., Gogu, C., Zametaev, E., Haidn, O.,
“Liquid Rocket Engine Chamber Wall Optimization Using Plane Strain and
Generalized Plane Strain Models”, AIAA paper 2006-4366, 42nd AIAA/ASME/SAE/ASEE Joint
Propulsion Conference, Sacramento, CA, July 2006
[146] Bapanapalli, S. K., Martinez, O. M., Gogu,
C., Sankar, B. V., Haftka, R. T., Blosser, M. L., “Analysis and
Design of Corrugated-Core Sandwich Panels for Thermal Protection Systems of
Space Vehicles”, AIAA paper 2006-1942, 47th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics,
and Materials Conference, Newport, RI, May 2006
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