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Anis Ben Abdessalem

Research Interests

Metal forming processes, Optimisation, Reliability, Bayesian inference, Uncertainty quantification and propagation, NDI methods, System identification, Surrogate models.

Publications

Theses / Dissertations

  • Anis Ben Abdessalem (2011). Optimisation of hydroforming processes by considering uncertainties. INSA Rouen, France.

Journal articles

  • A. Ben Abdessalem, M. Touzet, R. Azaïs, A. Gégout-Petit, M. Puiggali. Stochastic modelling and prediction of fatigue crack propagation using piecewise-deterministic Markov processes. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, June 7, 2016.
  • A. Ben Abdessalem, A. Elhami. A probabilistic approach for optimising hydroformed structures using local surrogate models to control failures. International Journal of Mechanical Sciences, (2015), 96-97:143–162.
  • A. Ben Abdessalem, A. Elhami. Global sensitivity analysis and multi-objective optimisation of loading path in tube hydroforming process based on metamodelling techniques. International Journal of Advanced Manufacturing Technology, (2014) 71:753--773.
  • A. Ben Abdessalem, E. Pagnacco, A. Elhami. Increasing the stability of T-shape tube hydroforming process under stochastic framework. International Journal of Advanced Manufacturing Technology (2013) 69:1343--1357.
  • A. Ben Abdessalem, A. Elhami. Optimisation of tube hydroforming process using probabilistic constraints on failure modes. Journal of Applied Mechanics and Materials, (2011) 62:21--35.

Conference papers

  • A. Ben Abdessalem, N. Dervilis, D. Wagg, K. Worden. Identification of Nonlinear Dynamical Systems Using Approximate Bayesian Computation based on a Sequential Monte Carlo Sampler. September 19-21, 2016, Leuven (Belgium).
  • A. Ben Abdessalem, K. Worden, N. Dervilis, D. Wagg. Illustration of a Sequential Monte Carlo Approach for Simultaneous Nonlinear Model Selection and Parameter Estimation. 6th International Conference on Nonlinear Vibrations. Localisation and Energy Transfer. July 4-8, 2016, University of Liège (Belgium).
  • A. Ben Abdessalem, F. Jenson, P. Calmon. Improving the reliability of POD curves in ultrasonic NDI method using a Bayesian inversion approach for uncertainty quantification. 42nd Review of Progress in Quantitative Nondestructive Evaluation, USA, Minneapolis, 2015.
  • R. Miorelli, X. Artusi, A. Ben Abdessalem, Ch. Reboud. Database generation and exploitation for efficient and intensive simulation studies, 42nd Review of Progress in Quantitative Nondestructive Evaluation, USA, Minneapolis, 2015.
  • A. Ben Abdessalem, M. Touzet, A. Gégout-Petit, M. Puiggali, R. Azaïs, Ch. Elegbede. Modelling of fatigue crack propagation using Piecewise-Deterministic Markov Processes. 3rd International Conference on Engineering Optimization, 1-5 July 2012, Rio De Janeiro, Brazil.
  • A. Ben Abdessalem, A. Elhami, A. Cherouat. Optimisation of tube hydroforming process under uncertainty. Proceedings of the 2nd International Conference on Engineering Optimization. September 6-9, 2010, Lisbon, Portugal.
  • A. Ben Abdessalem, A. Elhami, A. Cherouat. Multi-objective optimisation of tube hydroforming process by genetic algorithms. Proceedings of the 2nd International Conference on Engineering Optimization. September 6-9, 2010, Lisbon, Portugal.
  • A. Ben Abdessalem, A. Elhami, A. Cherouat. Optimisation fiabiliste de la mise en forme par hydroformage. IMPACT 2010, 22-24 Mars 2010. Djerba, Tunisie.
  • A. Ben Abdessalem, A. Elhami, A. Cherouat. Optimization of the tube hydroforming process using probabilistic constraints on failure modes. In: Proceedings of the tenth ICCST.Civil-Comp, Stirlingshire, 14-17 September 2010, Valencia, Spain.
  • A. Ben Abdessalem, A. Elhami, A. Cherouat. Reliability assessment for tube hydroforming process with Monte Carlo simulations based on response surface methodology. 8th World Congress on Structural and Multidisciplinary optimization. June 1-5, 2009, Lisbon, Portugal.
  • A. Ben Abdessalem, E. Pagnacco, A. Elhami, A. Cherouat. Estimation de la probabilité de défaillance de la mise en forme par hydroformage. CFM 2009 - 19ème Congrès Français de Mécanique 2009.