Prof. Ridha Hambli

Research group of Biomechanics and Mechanobiology of Bone
Polytech Orleans, Prisme Institute

Orleans University, France



1996  M.D., Ecole National Superieur des Arts et Metiers

1991  B.D., Ecole Centrale de Nantes, Mechanical engineering

Publications (Selected)

  1. Hambli R, Bettamer A, Allaoui S. 2012, Finite element prediction of proximal femur fracture pattern based on orthotropic behaviour law coupled to quasi-brittle damage. Med Eng Phys.34(2):202-10
  2. Hambli R., and Barkaoui A., 2012, Physically based 3D finite element model of a single mineralized collagen microfibril, Journal of Theoretical Biology, doi:10.1016/j.jtbi.2012.02.007, (on line)
  3. Hambli R., Multiscale prediction of crack density and crack length accumulation in trabecular bone based on neural networks and finite element simulation, International Journal for Numerical Methods in Biomedical Engineering, 2011Vol.27, Issue 4, 461–475
  4. Rieger R., HambliR., Jennane R , Modeling of biological doses and mechanical effects on bone transduction. Volume 274, Issue 1, 7 April 2011, P:36-42
  5. Hambli R., Katerchi H. and Benhamou C.L., Multiscale methodology for bone remodelling simulation using coupled finite element and neural network computation, Biomech Model Mechanobiol. Biomech Model Mechanobiol (2011) 10:133–145
  6. Hambli R., Numerical procedure for multiscale bone adaptation prediction based on neural networks and finite element simulation, Finite Elements in Analysis and Design, Volume 47, Issue 7, July 2011, Pages 835–842
  7. HambliR., Apparent Damage Accumulation in Cancellous Bone Using Neural Networks. Journal of the Mechanical Behavior of Biomedical Materials, Volume 4, Issue 6, 2011, Pages 868–878
  8. Aguir H., BelHadjSalah H., Hambli R.  Parameter identification of an elasto-plastic behaviour using artificial neural networks-genetic algorithm method, Materials & Design, Volume 32, Issue 1, 2011, 48-53
  9. Barkaoui A ,Hambli R.,(2011) Nanomechanical properties of mineralized collagen microfibrils based on finite element method: biomechanical role of cross-links,Comp. Biomech. and Biomed. Eng. (accepted)
  10. Barkaoui A, Bettamer A., Hambli R.,(2011) Failure of mineralized collagen microfibrils using finite element simulation coupled to mechanical quasi-brittle damage, Procedia Engineering 10:3185–3190
  11. Hambli R., and Rieger R., Physiologically based mathematical model of transduction of mechanobiological signals by osteocytes. Biomech Model Mechanobiol. 2011, 11:1-2, 83-93
  12. Barkaoui A, Hambli R., (2011). Finite element 3D modeling of Mechanical Behaviour of Mineralized collagen Microfibril, J Appl Biomater Biomech 9(3): 207 - 213
  13. Souplet J.C., HambliR., Benhamou1 C.L., Anisotropy and mechano-transduction , Osteoporosis Int.(2010) 21: 1083-1088
  14. Hambli R., 2010, Application of Neural Networks and Finite Element Computation for Multiscale Simulation of Bone Remodeling, 2010, in Journal of Biomech. Engineering , 2010 -132, 11, 114502
  15. Rieger R., Hambli R., Jennane R.,A mechanobiological transduction model for bone remodelling, Computer Methods in Biomechanics and Biomedical Engineering, 13, S1 ,2010, 127-128
  16. Rieger R., HambliR., Jennane R., "Integration of Bone Modeling Unit in a mechanobiological bone remodelling algorithm." Osteoporosis International (2010) 21 (supp 1):310 - 311
  17. Chamekh A., BenRhaiem S., Khaterchi H., BelHadjSalah H. and HambliR. An optimization strategy based on a metamodel applied for the prediction of the initial blank shape in a deep drawing process, Int J Adv Manuf Technol 2010, vol. 50, no1-4, pp. 93-100
  18. Lantiéri P., Guerin F. and Hambli R., Reliability by ALT when no analytical model holds, Quality and Reliability Enginnering International2010, 26 605-613
  19. Hambli R., Soulat D. and Chamekh A., ‘Application of finite element for blanking tool cost prediction’ International Journal of Advanced Manufacturing Technology, 2009, Volume 44, Numbers 7-8, 648-656
  20. HambliR, Soulat D, Gasser A, Benhamou CL (2009) Strain-damagecoupled algorithm for cancellous bone mechano-regulationwith spatial function influence. Comput Methods Appl Mech Eng, 198(33–36,1):2673–2682
  21. HambliR. and Soulat D., Application of finite element for blanking tool cost prediction, Journal of Materials Processing Tech. 2009, vol. 44, no7-8, pp. 648-656
  22. Guerin F. and Hambli R., Bayesian Method Approach for Fatigue Life Distribution Estimation of Rubber components, International Journal of Product Development Special Issue onQuality and Reliability of the Products and Processes: Integrated design Product-Process-Organization. Volume 7, 3-4 / 2009, p:199-217
  23. Chamekh A., BelHadjSalah H., Hambli R., “Inverse technique identification of material parameters using finite element method and neural network computation”, International Journal of Advanced Manufacturing Technology. 2009, vol. 44, no1-2, pp. 173-179
  24. HambliR, Statistical damage analysis of extrusion processes using finite element method and neural networks simulation . Finite Elements in Anal. and Design., (45), 10, 2009, 640-649
  25. Gassara F., Hambli R., Bouraoui T., El Halouani F. and Soulat D., Optimization of springback in L-bending process using a coupled Abaqus/Python algorithm, The International Journal of Advanced Manufacturing Technology, Volume 44, Numbers 1-2, pp 61–67 / 2009
  26. Aguir H., Chamekh A., BelHadjSalah H., Dogui A. and Hambli R., Parameter identification of a non-associative elastoplastic constitutive model using ANN and multi-objective optimization, International Journal of Material Forming, Volume 2, Number 2, 2009 , 2:75–82
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