Bayesian inference of tissue properties from glottal area waveforms using a 2D finite element model

2018 ◽  
Vol 144 (3) ◽  
pp. 1766-1766
Author(s):  
Paul J. Hadwin ◽  
Sean D. Peterson
Keyword(s):  
Finite Element ◽  
Bayesian Inference ◽  
Finite Element Model ◽  
Element Model ◽  
Tissue Properties

scholarly journals Computer Simulation of Female Urinary Incontinence

2008 ◽  
Vol 2 (2) ◽  
Author(s):  
Yingchun Zhang ◽  
Gerald W. Timm ◽  
Arthur G. Erdman
Keyword(s):  
Finite Element ◽  
Urinary Incontinence ◽  
Finite Element Model ◽  
Element Model ◽  
Physical Activities ◽  
Sample Population ◽  
Force Level ◽  
Female Pelvis ◽  
Tissue Properties ◽  
Mechanical Tissue

Objectives: The purpose of this study is to establish pressure, distension and other parameters involved that produce tissue injury during vigorous physical activities in women, so that superior methods and devices for diagnosing and treating urinary incontinence (UI) can be created. Background: A higher prevalence of daily UI in a female athlete population was found compared to that of a randomly selected and age matched sample population, but the mechanism of UI is not clearly understood. Methods: Mechanical tissue properties of affected organ structures were determined by using specimens from cadavers. A realistic geometric model of the female pelvis was developed from patients’ specific CT images. The finite element model was built by combining the mechanical tissue properties and the geometry of organs involved, and the finite element analysis (FEA) was then performed using ABAQUS 6.7 to simulate the biomechanical response of the female pelvis during physical activities. Results: Tissue specimens from 11 cadavers were tested which included specimens of the bladder, uterus, pelvic muscle, vagina and urethra. A finite element model was built with approximately 500,000 tetrahedral elements. The force level and resulting organ displacements in the female pelvis during physical activities were investigated successfully by using the FEA method. Discussion: The knowledge of force level and organ displacements during physical activities helps to understand the mechanisms of UI occurring during physical activities.

Identification of cracks in an Euler–Bernoulli beam using Bayesian inference and closed-form solution of vibration modes

2020 ◽  
pp. 146442072096971
Author(s):  
Tianyu Wang ◽  
Mohammad Noori ◽  
Wael A. Altabey
Keyword(s):  
Finite Element ◽  
Bayesian Inference ◽  
Finite Element Model ◽  
Crack Detection ◽  
Closed Form Solution ◽  
Element Model ◽  
Form Solution ◽  
Vibration Modes ◽  
Vibration Data ◽  
The Finite Element Model

Over the past two decades, extensive research has been carried out in the field of structural health monitoring for damage detection in structural systems. Some crack detection methods are based on the finite element model of a beam and use vibration data are developed. These methods identify the crack by updating of the finite element model according to the vibration data of structure. This paper proposes a novel method for crack detection in Euler–Bernoulli beams based on the closed-form solution of mode shapes using Bayesian inference. The expression of vibration modes is derived analytically with the crack parameters as unknown variables. Subsequently, the Bayesian inference is used to obtain the probability density function of crack parameters and to evaluate the uncertainty of the modes. Finally, the method is applied to a series of numerical examples, including a beam with a single-crack and multi-cracks, to verify the effectiveness of this method.

Biomechanical Effects of Chiropractic-Based Distraction Therapy on the Behavior of Healthy and Degenerated Cervical Discs: A Finite Element Model Analysis

2009 ◽  
Author(s):  
Mozammil Hussain ◽  
Ralph E. Gay ◽  
Kai-Nan An ◽  
Rodger Tepe
Keyword(s):  
Finite Element ◽  
Cervical Spine ◽  
Neck Pain ◽  
Finite Element Model ◽  
Disc Degeneration ◽  
Element Model ◽  
Model Analysis ◽  
Biochemical Changes ◽  
Tissue Properties ◽  
Disc Tissue

Many neck pain complaints are associated with degenerated discs in cervical spine. Disc degeneration (DD) consists of cascading stages of events with complex changes in disc tissue properties. This results in deterioration of the ability of the disc to perform its function normally. Several biomechanical and biochemical changes occur in the disc with degeneration. Increase in motion segment stiffness and peak stresses in the posterior annulus are some of the gross changes that occur in the disc with degeneration.

scholarly journals Modeling upper airway collapse by a finite element model with regional tissue properties

2009 ◽  
Vol 31 (10) ◽  
pp. 1343-1348 ◽  
Author(s):  
Chun Xu ◽  
Michael J. Brennick ◽  
Lawrence Dougherty ◽  
David M. Wootton
Keyword(s):  
Finite Element ◽  
Finite Element Model ◽  
Upper Airway ◽  
Element Model ◽  
Tissue Properties ◽  
Airway Collapse ◽  
Upper Airway Collapse

A Bayesian Inference-Based Approach to Empirical Training of Strongly Coupled Constituent Models

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
G. S. Flynn ◽  
E. Chodora ◽  
S. Atamturktur ◽  
D. A. Brown
Keyword(s):  
Finite Element ◽  
Bayesian Inference ◽  
Finite Element Model ◽  
Numerical Models ◽  
Element Model ◽  
Numerical Representation ◽  
Strongly Coupled ◽  
Practical Applications ◽  
Novel Approach ◽  
Integral Effect

Abstract Partitioned analysis enables numerical representation of complex systems through the coupling of smaller, simpler constituent models, each representing a different phenomenon, domain, scale, or functional component. Through this coupling, inputs and outputs of constituent models are exchanged in an iterative manner until a converged solution satisfies all constituents. In practical applications, numerical models may not be available for all constituents due to lack of understanding of the behavior of a constituent and the inability to conduct separate-effect experiments to investigate the behavior of the constituent in an isolated manner. In such cases, empirical representations of missing constituents have the opportunity to be inferred using integral-effect experiments, which capture the behavior of the system as a whole. Herein, we propose a Bayesian inference-based approach to estimate missing constituent models from available integral-effect experiments. Significance of this novel approach is demonstrated through the inference of a material plasticity constituent integrated with a finite element model to enable efficient multiscale elasto-plastic simulations.

Sign in / Sign up

Export Citation Format

Share Document