AIMC Topic: Finite Element Analysis
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Compliant Mechanism-Based Sensor for Large Strain Measurements Employing Fiber Optics.
Sensors (Basel, Switzerland)
May 24, 2022
We propose a sensor design for measurement of large strains where direct application of a fiber optic strain gauge is impossible due to the stiffness mismatch between the optical fiber and the structure under test. The sensor design is based on a rho...
Toward an artificial intelligence-assisted framework for reconstructing the digital twin of vertebra and predicting its fracture response.
International journal for numerical methods in biomedical engineering
Apr 26, 2022
This article presents an effort toward building an artificial intelligence (AI) assisted framework, coined ReconGAN, for creating a realistic digital twin of the human vertebra and predicting the risk of vertebral fracture (VF). ReconGAN consists of ...
Methods for numerical simulation of knit based morphable structures: knitmorphs.
Scientific reports
Apr 22, 2022
Shape morphing behavior has applications in many fields such as soft robotics, actuators and sensors, solar cells, tight packaging, flexible electronics, and biomedicine. The most common approach to achieve shape morphing structures is through shape ...
Deep learning for biomechanical modeling of facial tissue deformation in orthognathic surgical planning.
International journal of computer assisted radiology and surgery
Apr 1, 2022
PURPOSE: Orthognathic surgery requires an accurate surgical plan of how bony segments are moved and how the face passively responds to the bony movement. Currently, finite element method (FEM) is the standard for predicting facial deformation. Deep l...
A data-driven approach to characterizing nonlinear elastic behavior of soft materials.
Journal of the mechanical behavior of biomedical materials
Mar 25, 2022
The Autoprogressive (AutoP) method is a data-driven inverse method that leverages finite element analysis (FEA) and machine learning (ML) techniques to build constitutive relationships from measured force and displacement data. Previous applications ...
Recurrent neural network to predict hyperelastic constitutive behaviors of the skeletal muscle.
Medical & biological engineering & computing
Mar 4, 2022
Hyperelastic constitutive laws have been commonly used to model the passive behavior of the human skeletal muscle. Despite many efforts, the use of accurate finite element formulations of hyperelastic constitutive laws is still time-consuming for a r...
Implementation and Optimization of Reverse Suspension Structure Design Model Using Deep Learning.
Computational intelligence and neuroscience
Jan 30, 2022
The present work aims to improve the design efficiency and optimize the results in the increasingly complex and diversified material design projects to help architects realize the better performance of building structures. According to the characteri...
Review on generic methods for mechanical modeling, simulation and control of soft robots.
PloS one
Jan 14, 2022
In this review paper, we are interested in the models and algorithms that allow generic simulation and control of a soft robot. First, we start with a quick overview of modeling approaches for soft robots and available methods for calculating the mec...
Finite Element Assessment of Bone Fragility from Clinical Images.
Current osteoporosis reports
Dec 21, 2021
PURPOSE OF REVIEW: We re-evaluated clinical applications of image-to-FE models to understand if clinical advantages are already evident, which proposals are promising, and which questions are still open.
The Use of Digital Twins in Finite Element for the Study of Induction Motors Faults.
Sensors (Basel, Switzerland)
Nov 25, 2021
Induction motors play a key role in the industrial sector. Thus, the correct diagnosis and classification of faults on these machines are important, even in the initial stages of evolution. Such analysis allows for increased productivity, avoids unex...
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