Wireless sensor networks (WSN) are built of spatially distributed nodes which are connected to one or more sensors. Each sensor node typically consists of several parts that are connected to an energy source like a battery, which limits the power resources of a wireless sensor. The major energy demanding parts in a sensor network node are the processor and the transmitter. Typically, those n…
The paper presents an ontology-based system for retrieval and semantic organization of knowledge in the domain of existing bridges. The main goal of the work is to formalize knowledge about multidisciplinary aspects in bridge engineering, material sciences and testing in a set of ontologies. The addressed domain covers typical bridge structures, deterioration processes, typical defects, caus…
Wireless Sensor Networks (WSNs) have emerged as a potentially competitive structural monitoring technology. Most studies in the literature focus on network issues, such as energy consumption, network connectivity in order to improve the monitoring system efficiency and reliability. Nevertheless, the integration of the application aspects can provide further information for improving the moni…
This paper presents the research and training focus of major European Marie Curie Initial Training Network research programme, SmartEN, which focuses on the development of effective smart proactive management methods for sustainable built and natural environment. The SmartEN research focuses on multi-disciplinary developments combining mainly the areas of proactive management, non-destructiv…
Fiber optic sensors (FOS) offer a number of advantages for the purpose of long term Structural Health Monitoring, such as distributed sensing capability, durability, stability and immunity to electrical noise. There are different FOS technologies with a wide range of performance metrics that define their suitability for different applications. One of the most commonly used fiber optic sensin…
Scour around bridge piers is one of the main causes for bridge failure. Unfortunately, models for accurate and robust predictions of scour levels are presently not available. In such conditions, real time monitoring of scour depths appears as the only possibility to reduce uncertainties in risk evaluations during flood events. A monitoring system for a river bridge has been recently develope…
Complex engineering structures are usually analyzed with finite element models (FEM) that are calibrated using monitoring data. To represent civil structures better with such models, different types of uncertainties such as those due to modeling and measurement should be incorporated. The uncertainties in the data collected by means of intermittent testing or monitoring, limitations of the m…
With the incessant advancement in optics, electronics and computer technologies during the last three decades, commercial digital video cameras have experienced a remarkable evolution, and can now be employed to measure complex motions of objects with sufficient accuracy, which render great assistance to structural displacement measurement in civil engineering. This paper proposes a novel im…
This study is intended to investigate the feasibility of bridge health monitoring using a linear system parameter of a time series model identified from traffic-induced vibration data of bridges through a moving vehicle experiment on scaled model bridges. In order to detect possible abnormality of bridges, this study adopted a parameter from autoregressive (AR) coefficients. Consideration go…
In this study, modal parameter identification under multi-operational grades was proposed to simultaneously eliminate the effect of environmental factors (traffic load, environmental temperature, environmental humidity and wind load etc,) on the modal parameters of bridges. A cluster method was applied to classify the monitoring modal parameters, obtained by using the long-term monitoring da…