General thermo-mechanical behavior of composites reinforced by shape memory alloy fibers is predicted using a three-dimensional analytical micromechanical method to consider the effect of fibers activation. Composite due to the micromechanical method can be exposed to general normal and shear mechanical and thermal loading which cause to activate the shape memory alloy fibers within polymeric m...

Concrete is a composite material with heterogeneities across multiple length scales. Degradation of concrete due to external loadings starts diffuse microcracking, followed by damage localization that eventually leads structural failure. Identification at an early stage degradation reduces the costs associated maintenance structure. Weak changes can be detected using ultrasonic waves (so-called...

This study presents a hybrid method based on artificial neural network (ANN) and micro-mechanics for the failure prediction of IM7/8552 unidirectional (UD) composite lamina under triaxial loading. The ANN is trained offline by numerical data from high-fidelity micromechanics-based representative volume element (RVE) model using finite (FEM). RVE adopts identified constituent parameters inverse ...

Two neural classifiers were developed for image recognition: PCNC (Permutation Coding Neural Classifier) and LIRA (Limited Receptive Area) neural classifiers. These neural classifiers are multipurpose neural classifiers. We applied them in micromechanics. Information about shape and texture of the micro workpiece can be used to improve precision of both assembly and manufacturing processes. The...