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Item type:Publication, Access status: without files , Analytical modeling of flexible structures for health monitoring under environmentally induced loadsWireless structural health monitoring (SHM) represents an emerging paradigm in non-destructive testing evaluation, which is regularly performed within the framework of structural maintenance of critical infrastructure. While traditional cable-based SHM strategies have largely relied on centralized structural response data collection and processing, in wireless SHM the sensor nodes essentially operate as stand-alone processing units. Furthermore, the on-board processing capabilities of wireless sensor nodes have been widely exploited for decentralizing SHM tasks, thus avoiding power-consuming wireless transmission of entire structural response data sets. Evidently, on-board processing requires approaches tailored to the limited computational resources of wireless sensor nodes, particularly for computationally intensive, state-of-the-art strategies for SHM that rely on artificial intelligence (AI). Specifically, in model-based SHM/AI strategies, AI algorithms are trained by running the so-called what-if scenarios using numerical models of monitored structures. However, the use of numerical models in a decentralized wireless SHM scheme might be prohibitive from a computational resources point of view. To overcome this limitation, analytical modeling techniques using elastic waveguides are developed here that carry a low computational burden. These are specifically tailored for flexible structures of variable cross section, which comprise typical components of critical infrastructure such as masts, antennas and pylons, and can be used for simulating axial, torsional and flexural vibrations. The accuracy and efficiency of the proposed analytical modeling approach are then demonstrated through comparisons with conventional numerical models based on the finite element method.Publicationtype: Journal Article30 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Analytical-numerical modeling of flexible pylons for structural health monitoringThe monitoring of flexible structures such towers, antennas and pylons comprising critical infrastructure for power transmission and telecommunications is necessary in order to ensure their continuous operation. This particular field of engineering comes under the umbrella of structural health monitoring, which in recent years has been given high priority in developed countries. There, the built infrastructure is both extensive, encompassing diverse groups of systems such as energy, telecommunication, utility and transportation networks, while at the same time is ageing rapidly. The goal is to set up monitoring schemes with a stand-alone configuration and a wireless transmission of data to central locations for further processing. Thus, it becomes necessary for the sensors employed to have some structural analysis capabilities that can be used in tandem with their data processing functions, all within an artificial intelligence environment. To this end, we develop analytical models for vibrations in elastic waveguides that model flexible structures of variable cross-section and demonstrate their efficiency and accuracy through comparisons with finite element models.Publicationtype: Conference Paper36