Back
  1. Home
  2. Profile of Hussein Rappel (ULiège)
Profil

Rappel Hussein

Main Referenced Co-authors
Beex, Lars (3)
Beex, L. A. A. (2)
Bordas, Stephane (2)
Bordas, Stéphane (2)
Hale, Jack (2)
Main Referenced Keywords
Bayesian inference (6); Bayes’ theorem (5); elastoplasticity (3); Parameter identification (3); parameter identification (3);
Main Referenced Unit & Research Centers
A&M - Aérospatiale et Mécanique - ULiège [BE] (1)
Computational & Multiscale Mechanics of Materials (CM3) (1)
Institute of Computational Engineering, University of Luxembourg (1)
Main Referenced Disciplines
Mechanical engineering (6)
Materials science & engineering (3)
Engineering, computing & technology: Multidisciplinary, general & others (3)
Civil engineering (2)
Electrical & electronics engineering (1)

Publications (total 7)

The most downloaded
346 downloads
Rappel, H., Beex, L. A. A., & Bordas, S. P. A. (2018). Bayesian inference to identify parameters in viscoelasticity. Mechanics of Time-Dependent Materials, 1-38. doi:10.1007/s11043-017-9361-0 https://hdl.handle.net/2268/222906

The most cited

66 citations (Scopus®)

Rappel, H., Beex, L. A. A., Noels, L., & Bordas, S. (January 2019). Identifying elastoplastic parameters with Bayes’ theorem considering output error, input error and model uncertainty. Probabilistic Engineering Mechanics, 55, 28-41. doi:10.1016/j.probengmech.2018.08.004 https://hdl.handle.net/2268/227535

Rappel, H., Beex, L. A. A., Noels, L., & Bordas, S. (January 2019). Identifying elastoplastic parameters with Bayes’ theorem considering output error, input error and model uncertainty. Probabilistic Engineering Mechanics, 55, 28-41. doi:10.1016/j.probengmech.2018.08.004
Peer Reviewed verified by ORBi

Rappel, H., & Beex, L. A. A. (2019). Estimating fibres’ material parameter distributions from limited data with the help of Bayesian inference. European Journal of Mechanics. A, Solids, 75, 169-196. doi:10.1016/j.euromechsol.2019.01.001
Peer Reviewed verified by ORBi

Rappel, H. (2018). Model and parameter identification through Bayesian inference in solid mechanics [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/227987

Rappel, H., Beex, L., Noels, L., & Bordas, S. (27 March 2018). Bayesian inference to determine elastoplastic parameter distributions [Paper presentation]. European Mechanics of Materials Conference (EMMC16), Nantes, France.

Rappel, H., Beex, L. A. A., & Bordas, S. P. A. (2018). Bayesian inference to identify parameters in viscoelasticity. Mechanics of Time-Dependent Materials, 1-38. doi:10.1007/s11043-017-9361-0
Peer reviewed

Rappel, H., Beex, L., Hale, J., & Bordas, S. (09 September 2016). Bayesian inference for stochastic parameter identification in elastoplasticity [Paper presentation]. European Mechanics of Materials Conference (EMMC15), Brussels, Belgium.

Rappel, H., Beex, L., Hale, J., & Bordas, S. (09 June 2016). A Bayesian approach for parameter identification in elastoplasticity [Paper presentation]. ECCOMAS Congress 2016, Crete Island, Greece.

Contact ORBi