Inverse identification of graphite damage properties under complex stress states

Damage identification using inverse methods.

This paper gives an overview of the use of inverse methods in damage detection and location, using measured vibration data. Inverse problems require the use of a model and the identification of uncertain parameters of this model. Damage is often local in nature and although the effect of the loss of stiffness may require only a small number of parameters, the lack of knowledge of the location m...

Damage identification in beams using inverse methods

Beams, made of brittle materials like concrete or cement, show increasing crack development during their service life due to mechanical and environmental loadings. This local damage can be translated into a reduction of the local bending stiffness. Stiffness modifications, while assuming constant mass distribution, can be observed by monitoring the vibrational behavior of the beam. In this pape...

Solving Inverse Problems in Structural Damage Identification

Accurately identifying damage is difficult after an extreme event since damage often cannot be directly measured. Sensors, however, can collect data that reflects damage by measuring changes in structural response. Therefore, damage identification becomes an inverse problem in which the goal is to find system properties using limited response information. The inverse problem is formulated as an...

Editorial: DNA Damage and Inflammation under Stress

Limiting Properties of Empirical Bayes Estimators in a Two-Factor Experiment under Inverse Gaussian Model

The empirical Bayes estimators of treatment effects in a factorial experiment were derived and their asymptotic properties were explored. It was shown that they were asymptotically optimal and the estimator of the scale parameter had a limiting gamma distribution while the estimators of the factor effects had a limiting multivariate normal distribution. A Bootstrap analysis was performed to ill...