Prof. Ridha Hambli
Research group of Biomechanics and Mechanobiology of Bone
Polytech Orleans, Prisme Institute
Orleans University, France
Professor
Email: ridha.hambli@univ-orleans.fr
Qualifications
1996
M.D., Ecole National Superieur des Arts et Metiers
1991
B.D., Ecole Centrale de Nantes, Mechanical engineering
Publications (Selected)
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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
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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)
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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
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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
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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
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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
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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
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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
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Barkaoui A
,Hambli R.,(2011) Nanomechanical properties of mineralized collagen
microfibrils based on finite element method: biomechanical role of
cross-links,Comp. Met.in Biomech. and Biomed. Eng. (accepted)
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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
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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
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Barkaoui A, Hambli R., (2011). Finite
element 3D modeling of Mechanical Behaviour of Mineralized collagen
Microfibril, J Appl Biomater Biomech 9(3): 207 - 213
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Souplet J.C., HambliR.,
Benhamou1 C.L., Anisotropy and mechano-transduction , Osteoporosis
Int.(2010) 21: 1083-1088
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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
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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
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Rieger R., HambliR.,
Jennane R., "Integration of Bone Modeling Unit in a mechanobiological
bone remodelling algorithm." Osteoporosis International (2010) 21 (supp
1):310 - 311
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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
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Lantiéri P.,
Guerin F. and Hambli R., Reliability by ALT when no analytical model holds,
Quality and Reliability Enginnering International2010, 26 605-613
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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
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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
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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
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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
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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
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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
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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
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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