What can artificial intelligence and machine learning tell us? A review of applications to equine biomechanical research

S Mouloodi, H Rahmanpanah, S Gohery… - Journal of the …, 2021 - Elsevier
Artificial intelligence (AI) and machine learning (ML) are fascinating interdisciplinary
scientific domains where machines are provided with an approximation of human …

Prediction of load-displacement curve in a complex structure using artificial neural networks: A study on a long bone

H Rahmanpanah, S Mouloodi, C Burvill… - International Journal of …, 2020 - Elsevier
Long bones are composite materials possessing nonhomogeneous and anisotropic
properties. They repair themselves (self-repairing) and adapt to changing mechanical …

Localized failure analysis of internally pressurized laminated ellipsoidal woven GFRP composite domes: Analytical, numerical, and experimental studies

S Gohery, S Sharifi, C Burvill, S Mouloodi… - Archives of Civil and …, 2019 - Elsevier
This paper presented a systematic approach toward localized failure inspection of internally
pressurized laminated ellipsoidal woven composite domes. The domes were made of thin …

Feedforward backpropagation artificial neural networks for predicting mechanical responses in complex nonlinear structures: A study on a long bone

S Mouloodi, H Rahmanpanah, S Gohery… - Journal of the …, 2022 - Elsevier
Feedforward backpropagation artificial neural networks (ANNs) have been increasingly
employed in many engineering practices concerning materials modeling. Despite their …

[HTML][HTML] Size-dependent free vibration analysis of nanoshells based on the surface stress elasticity

H Rouhi, R Ansari, M Darvizeh - Applied Mathematical Modelling, 2016 - Elsevier
Abstract Based upon the Gurtin–Murdoch elasticity theory capturing the surface stress effect,
a size-dependent continuum model is developed to investigate the free vibrations of …

Prediction of displacement in the equine third metacarpal bone using a neural network prediction algorithm

S Mouloodi, H Rahmanpanah, C Burvill… - Biocybernetics and …, 2020 - Elsevier
Bone is a nonlinear, inhomogeneous and anisotropic material. To predict the behavior of
bones expert systems are employed to reduce the computational cost and to enhance the …

Prediction of load in a long bone using an artificial neural network prediction algorithm

S Mouloodi, H Rahmanpanah, C Burvill… - journal of the mechanical …, 2020 - Elsevier
The hierarchical nature of bone makes it a difficult material to fully comprehend. The equine
third metacarpal (MC3) bone experiences nonuniform surface strains, which are a measure …

Experimental, regression learner, numerical, and artificial neural network analyses on a complex composite structure subjected to compression loading

S Mouloodi, H Rahmanpanah, C Burvill… - Mechanics of …, 2022 - Taylor & Francis
This paper reports on an investigation into the relationship between stiffness and applied
force of an advanced biological composite structure using four techniques: experimental …

Thermo-mechanical vibration, buckling, and bending of orthotropic graphene sheets based on nonlocal two-variable refined plate theory using finite difference method …

M Karimi, AR Shahidi - Proceedings of the Institution of …, 2017 - journals.sagepub.com
In this article, the influence of temperature change on the vibration, buckling, and bending of
orthotropic graphene sheets embedded in elastic media including surface energy and small …

Shear vibration and buckling of double-layer orthotropic nanoplates based on RPT resting on elastic foundations by DQM including surface effects

M Karimi, HR Mirdamadi, AR Shahidi - Microsystem Technologies, 2017 - Springer
In this article, shear vibration and buckling of double-layer orthotropic nanoplates resting on
elastic foundations are analyzed subjected to in-plane loadings including surface and …