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 …

Finite-element solution to nonlocal elasticity and scale effect on frequency behavior of shear deformable nanoplate structure

K Mehar, TR Mahapatra, SK Panda… - Journal of …, 2018 - ascelibrary.org
In this article, the eigenfrequency responses of a nanoplate structure are evaluated
numerically via a novel higher-order mathematical model and finite-element method …

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 …

Thermo-mechanical vibration of orthotropic cantilever and propped cantilever nanoplate using generalized differential quadrature method

M Ghadiri, N Shafiei, H Alavi - Mechanics of Advanced Materials …, 2017 - Taylor & Francis
In this article, the vibration frequency of an orthotropic nanoplate under the effect of
temperature change is investigated. Using nonlocal elasticity theory, governing equations …

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 …

Size-dependent axial buckling and postbuckling characteristics of cylindrical nanoshells in different temperatures

S Sahmani, MM Aghdam, M Bahrami - International Journal of Mechanical …, 2016 - Elsevier
One of the most important reasons that give rise to the extraordinary behaviors of
nanostructures is the free surface energy. In the current investigation, a size-dependent shell …