In order to assess structural safety conditions, many vibration-based damage detection methods have been developed in recent years. Among these methods, transmissibility function analysis can utilize output data only, and proves to be effective in damage detection. However, previous research mostly focused on experimental validation of using transmissibility function for damage detection. Very ...

It is well known that damaged structural members may alter the behavior of the structures considerably. Careful observation of these changes has often been viewed as a means to identify and assess the location and severity of damages in structures. Among the responses of a structure, natural frequencies are both relatively easy to obtain and independent from external excitation, and therefore, ...

Research on damage detection of road surfaces using image processing techniques has been actively conducted, achieving considerably high detection accuracies. Many studies only focus on the detection of the presence or absence of damage. However, in a real-world scenario, when the road managers from a governing body need to repair such damage, they need to clearly understand the type of damage ...

This paper describes a multi-disciplinary damage detection methodology that can aid in detecting and diagnosing a damage in a given structural system, not limited to the example of a rotating gear presented here. Damage detection is performed on the gear stress data corresponding to the steady state conditions. The normal and damage data are generated by a finitedifference solution of elastodyn...

at present, when a clinical diagnosis of parkinson’s disease (pd) is made, serious damage has already been done to nerve cells of the substantia nigra pars compacta. the diagnosis of pd in its earlier stages, before this irreversible damage, would be of enormous benefit for future treatment strategies designed to slow or halt the progression of this disease that possibly prevents accumulation o...

The use of statistical methods for anomaly detection has become of interest to researchers in many subject areas. Structural health monitoring in particular has benefited from the versatility of statistical damage-detection techniques. We propose modeling structural vibration sensor output data using nonlinear time-series models. We demonstrate the improved performance of these models over curr...

Wireless sensor networks (WSNs) have emerged as a novel solution to many of the challenges of structural health monitoring (SHM) in civil engineering structures. While research projects using WSNs are ongoing worldwide, implementations of WSNs on full-scale structures are limited. In this study, a WSN is deployed on a fullscale 17.3m-long, 11-bay highway sign support structure to investigate th...

A newly derived damage location algorithm is proposed to predict location of damage in offshore structures using changes in mode shapes from modal testing. This method decomposes elemental modal strain energy into two parts, and defines two damage indicators: axial damage indicator and transverse damage indicator. Analyzing the joint information of the two damage indicators can localize damage ...