In this paper, a time series algorithm is presented for damage identification and localization.
The vibration signals obtained from sensors are modeled as autoregressive moving …

In this paper, a time series based detection algorithm is proposed utilizing the Gaussian Mixture
Models. The two critical aspects of damage diagnosis that are investigated are detection …

This paper introduces three wavelet-based damage-sensitive features (DSFs) extracted from
structural responses recorded during earthquakes to diagnose structural damage. Because …

This paper discusses the dynamic response of a typical prestressed concrete railtrack sleeper
due to wheel–track interaction dynamics, involving wheel and rail imperfections, under …

Fragility functions are commonly used in performance‐based earthquake engineering for
predicting the damage state of a structure subjected to an earthquake. This process often …

Dense networks of wireless structural health monitoring systems can effectively remove the
disadvantages associated with current wire‐based sparse sensing systems. However, …

In 1937, one of ust, while referring to the distribution of Himalayan fishes, explained the
occurrence of similar forms in the Eastern Himalayas and the Assam Hills on the one hand and …

In this paper, the time series based damage detection algorithms developed by Nair, et al.(2006)
and Nair and Kiremidjian (2007) are applied to the benchmark experimental data from …

This paper studies the limiting spectral distribution (LSD) of a symmetrized auto-cross
covariance matrix. The auto-cross covariance matrix is defined as $\mathbf{M}_{\tau}=\frac{1}{2T}\…

The present study reports the results of a rigorous dynamic interaction analysis that accounts
for the vehicle-track characteristics and rail imperfections. In order to perform a rigorous …