Static fatigue and time to failure predictions of particulate filled epoxide resin composites

1986 ◽  
Vol 21 (10) ◽  
pp. 3661-3667 ◽  
Author(s):  
H. R. Beer ◽  
T. Kaiser ◽  
A. C. Moloney ◽  
H. H. Kausch
Keyword(s):  
Static Fatigue ◽  
Time To Failure ◽  
Resin Composites ◽  
Epoxide Resin ◽  
Failure Predictions

Electromagnetic characteristics of barium titanate/epoxide resin composites in X and Ku bands

2008 ◽  
Vol 453 (1-2) ◽  
pp. 433-436 ◽  
Author(s):  
Xiaodong Chen ◽  
Guiqin Wang ◽  
Yuping Duan ◽  
Shunhua Liu
Keyword(s):  
Barium Titanate ◽  
Resin Composites ◽  
Epoxide Resin ◽  
Electromagnetic Characteristics

Aging of Silica Optical Fiber in Static Fatigue Tests

2016 ◽  
Vol 859 ◽  
pp. 3-8
Author(s):  
Noella Evano ◽  
Rochdi El Abdi ◽  
Marcel Poulain
Keyword(s):  
Optical Fiber ◽  
Optical Fibers ◽  
Fatigue Tests ◽  
Hot Water ◽  
Static Fatigue ◽  
Time To Failure ◽  
Thermal Dependence ◽  
Arrhenius Model ◽  
Bending Stresses ◽  
Silica Optical Fiber

During their use, optical fibers are subject to harsh installation and environmental conditions. To evaluate more precisely the lifetime of an optical fiber, it is necessary to study the mechanical behavior of optical fibers under extreme conditions, in particular under mechanical and thermal stress.This paper presents the results of new silica optical fibers aged in hot water between 20°C and 70°C and subjected to mechanical static bending stresses from 3 GPa to 3.5 GPa. Thermal dependence of the time to failure was observed. This dependence can be described by the Arrhenius model, where the activation energy is one of the main physical characteristic.

A Macroscopic Model of Electromigration: Comparison with Experiment

1995 ◽  
Vol 391 ◽  
Author(s):  
Yolanda J. Kime
Keyword(s):  
Macroscopic Model ◽  
Experimental Measurements ◽  
Time To Failure ◽  
Comparison With Experiment ◽  
Free Parameters ◽  
Failure Predictions ◽  
Theory And Experiment ◽  
Mean Lifetimes

AbstractComparison of theory and experiment is critical in microelectronic reliability. In this work, a model which has been previously used for electromigration time to failure predictions (developed by Harrison) is extended to include predictions for numbers of voids and void sizes. Predictions from the model are compared to experimental measurements. The model makes reasonable predictions for mean lifetimes, numbers of voids, and void areas with very few free parameters. The model, however, does not adequately reproduce the range of lifetimes found in experiment.

scholarly journals Dependence of Static Fatigue Tests on Experimental Configuration for a Crystalline Rock

2014 ◽  
Vol 891-892 ◽  
pp. 863-871 ◽  
Author(s):  
James Kear ◽  
Andrew P. Bunger
Keyword(s):  
Tensile Stress ◽  
Maximum Tensile Stress ◽  
Crystalline Rock ◽  
Fatigue Tests ◽  
Tensile Failure ◽  
Static Fatigue ◽  
Time To Failure ◽  
Exponential Relationship ◽  
Four Point Bending ◽  
Nominal Size

This paper presents static fatigue laboratory experiments conducted in three different configurations. The experiments are designed so as to cause delayed tensile failure in dry Gabbro specimens after the sustained application of a static subcritical load. Results from the static fatigue experiments give a time to failure of the specimen related to the applied static load. In the presented experiments, results spanning up to six orders of magnitude of time to failure were collected for three-point bending, four-point bending, and indirect tensile (Brazilian) specimens. The data supports an exponential relationship between tensile stress and time to failure, noting that a power law relationship is also supported by the data. The salient difference among the configurations is hypothesized to be the size of the region of the specimen that is subjected to a close approximation of the maximum tensile stress. The time to failure at a given nominal tensile stress, the decrease in time to failure associated with a given increase in stress (i.e. the slope in a semi logarithmic plot), and the magnitude of the scatter of the data about the best-fit curve are all observed to correlate inversely with the nominal size of the region subjected to the maximum tensile stress.

scholarly journals An Adaptive Modeling Framework for Bearing Failure Prediction

Electronics ◽  
2022 ◽  
Vol 11 (2) ◽  
pp. 257
Author(s):  
Yuntian Zhao ◽  
Maxwell Toothman ◽  
James Moyne ◽  
Kira Barton
Keyword(s):  
Production Costs ◽  
Health State ◽  
Time To Failure ◽  
Modeling Framework ◽  
Common Component ◽  
Bearing Failures ◽  
Study Results ◽  
Wide Range ◽  
Transition Points ◽  
Failure Predictions

Rolling element bearings are a common component in rotating equipment, a class of machines that is essential in a wide range of industries. Detecting and predicting bearing failures is then vital for reducing maintenance and production costs due to unplanned downtime. In previous literature, significant efforts have been devoted to building data-driven health models from historical bearing data. However, a common limitation is that these methods are typically tailored to specific failure instances and have limited ability to model bearing failures between repairs in the same system. In this paper, we propose a multi-state health model to predict bearing failures before they occur. The model employs a regression-based method to detect health state transition points and applies an exponential random coefficient model with a Bayesian updating process to estimate time-to-failure distributions. A model training framework is also introduced to make our proposed model applicable to more bearing instances in the same system setting. The proposed method has been tested on a publicly available bearing prognostics dataset. Case study results show that the proposed method provides accurate failure predictions across several system failures, and that the training approach can significantly reduce the time necessary to generate an effective, generalized model.

External Pressure Testing of 4-in-Dia High-Density Polyethylene Pipe1

2001 ◽  
Vol 123 (3) ◽  
pp. 398-403
Author(s):  
Linping Zhao ◽  
Nathaniel M. Beuse ◽  
G. E. O. Widera
Keyword(s):  
High Density Polyethylene ◽  
Testing Procedure ◽  
External Pressure ◽  
High Density ◽  
Time To Failure ◽  
Hdpe Pipe ◽  
Experimental Apparatus ◽  
Failure Predictions ◽  
Good Agreement

Many of the investigations dealing with the determination of the time-to-failure of high-density polyethylene (HDPE) pipes involve internal pressure tests. HDPE pipe, however, can also be subjected to external pressure such as from underwater laying, vacuum, or burial. For the particular case of uniform external pressure, only a small amount of data detailing the time-to-failure of such pipes is available, and no definitive testing procedure exists. Here, an experimental apparatus and corresponding testing procedure are developed to explore remedies for this situation. On the basis of the data thus obtained, a three-coefficient equation relating time, temperature, and pressure is generated. The failure predictions from this design basis equation are in good agreement with the available data existing in the literature.

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