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1.
Artículo en Inglés | MEDLINE | ID: mdl-34877160

RESUMEN

Several welds and associated heat-affected zones (HAZs) on two API X70 and two API X52 pipes were tested to determine the fatigue crack growth rate (FCGR) in pressurized hydrogen gas and assess the area of the pipe that was most susceptible to fatigue when subjected to hydrogen gas. The relationship between FCGRs for welds and HAZs compared to base metal is discussed relative to local residual stresses, differences in the actual path of the crack, and hydrogen pressure effects.

2.
Artículo en Inglés | MEDLINE | ID: mdl-26601024

RESUMEN

A model to predict fatigue crack growth of API pipeline steels in high pressure gaseous hydrogen has been developed and is presented elsewhere. The model currently has several parameters that must be calibrated for each pipeline steel of interest. This work provides a sensitivity analysis of the model parameters in order to provide (a) insight to the underlying mathematical and mechanistic aspects of the model, and (b) guidance for model calibration of other API steels.

3.
Comput Methods Biomech Biomed Engin ; 12(3): 353-69, 2009 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-19396729

RESUMEN

Determination of material parameters for soft tissue frequently involves regression of material parameters for nonlinear, anisotropic constitutive models against experimental data from heterogeneous tests. Here, parameter estimation based on membrane inflation is considered. A four parameter nonlinear, anisotropic hyperelastic strain energy function was used to model the material, in which the parameters are cast in terms of key response features. The experiment was simulated using finite element (FE) analysis in order to predict the experimental measurements of pressure versus profile strain. Material parameter regression was automated using inverse FE analysis; parameter values were updated by use of both local and global techniques, and the ability of these techniques to efficiently converge to a best case was examined. This approach provides a framework in which additional experimental data, including surface strain measurements or local structural information, may be incorporated in order to quantify heterogeneous nonlinear material properties.


Asunto(s)
Simulación por Computador , Elasticidad , Análisis de Elementos Finitos , Membranas , Modelos Biológicos , Dinámicas no Lineales , Anisotropía , Módulo de Elasticidad
4.
Biomed Sci Instrum ; 40: 303-8, 2004.
Artículo en Inglés | MEDLINE | ID: mdl-15133975

RESUMEN

A biaxial bubble test has been designed to ascertain the mechanical properties of rat pulmonary arteries. The analytical procedure used to estimate stress and strain from the resulting test data is presented along with some analytical results. The bubble test was performed by loading a flat piece of rat pulmonary artery into a test fixture beneath a circular opening; the material was subsequently pressurized from below, producing a "bubble" of deformed material. Due to the anisotropy of the rat pulmonary artery, the resulting bubble was ellipsoidal in shape. Test results were recorded in the form of side-view images taken from various angles at incremental values of pressure. Average strains were estimated with the use of image analysis to measure changes in the bubble perimeter during inflation. Formulations for isotropic materials were applied to estimate stresses based on the anisotropic geometry of the bubbles produced during testing; some results of this preliminary analysis are presented here. Results from this analysis show differences in mechanical properties of the rat pulmonary artery from those of healthy versus hypertensive rats.


Asunto(s)
Diagnóstico por Computador/métodos , Hipertensión Pulmonar/patología , Hipertensión Pulmonar/fisiopatología , Estimulación Física/instrumentación , Arteria Pulmonar/patología , Arteria Pulmonar/fisiopatología , Animales , Presión Sanguínea , Diagnóstico por Computador/instrumentación , Elasticidad , Análisis de Falla de Equipo , Técnicas In Vitro , Movimiento (Física) , Estimulación Física/métodos , Presión , Ratas , Ratas Long-Evans , Estrés Mecánico
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