Bayesian model updating and prognosis of fatigue crack growth

BA Zárate, JM Caicedo, J Yu, P Ziehl - Engineering Structures, 2012 - Elsevier
This paper presents a framework to update and predict crack length as a function of the
number of cycles in structural elements subjected to fatigue. The framework has two main …

An unsupervised pattern recognition approach for AE data originating from fatigue tests on polymer–composite materials

DD Doan, E Ramasso, V Placet, S Zhang… - … Systems and Signal …, 2015 - Elsevier
This work investigates acoustic emission generated during tension fatigue tests carried out
on a carbon fiber reinforced polymer (CFRP) composite specimen. Since massive fatigue …

Probabilistic prognosis of fatigue crack growth using acoustic emission data

BA Zárate, JM Caicedo, J Yu, P Ziehl - Journal of Engineering …, 2012 - ascelibrary.org
This paper presents a structural health monitoring methodology that uses acoustic emission
(AE) features to predict crack growth in structural elements subjected to fatigue. This allows …

Stable and unstable fatigue prediction for A572 structural steel using acoustic emission

J Yu, P Ziehl - Journal of Constructional Steel Research, 2012 - Elsevier
The association of acoustic emission (AE) signals with crack growth behavior in the material
of interest is the basis for monitoring the fatigue damage of in-service steel structures with …

[PDF][PDF] An Experimental Investigation of Microexplosion in Emulsified Vegetable-Methanol Blend

H Nam - 2012 - core.ac.uk
Vegetable oil is one of the most widely available renewable sources of energy that can be
used to meet the world's demands. Many vegetable oils also have the advantage of …

Smarter bridges through advanced structural health monitoring

PP Giangarra, B Metrovich… - IBM Journal of …, 2011 - ieeexplore.ieee.org
This paper describes an IBM and the University of Miami joint research project providing
infrastructure and application components to advance structural health monitoring of civil …

Remote monitoring and prognosis of fatigue cracking in steel bridges with acoustic emission

JP Yu, P Ziehl, A Pollock - Nondestructive Characterization for …, 2011 - spiedigitallibrary.org
Acoustic emission (AE) monitoring is desirable to nondestructively detect fatigue damage in
steel bridges. Investigations of the relationship between AE signals and crack growth …

Diagnosis of low-speed bearing degradation using acoustic emission techniques

F Alshimmeri - 2017 - dspace.lib.cranfield.ac.uk
It is widely acknowledged that bearing failures are the primary reason for breakdowns in
rotating machinery. These failures are extremely costly, particularly in terms of lost …

Dual mode sensing of crack growth in steel bridge structures

L Yu, L Zhao, Z Tian… - Smart Materials …, 2012 - asmedigitalcollection.asme.org
Monitoring of fatigue cracking in steel bridge structures using a combined passive and active
scheme has been approached by the authors. Passive acoustic emission (AE) monitoring is …

Detection of critical fatigue cracks in steel bridge materials with remote acoustic emission monitoring

J Yu, P Ziehl - Structures Congress 2011, 2011 - ascelibrary.org
Catastrophic failure of steel bridge components can occur if the fatigue cracks reach critical
levels. The purpose of the study described is to characterize the acoustic emission (AE) …