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<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>Integrating distributed acoustic sensing for damage detection in old pre-stressed concrete girders</dc:title><dc:creator>Strasser,	Lisa	(Avtor)
	</dc:creator><dc:creator>Lienhart,	Werner	(Avtor)
	</dc:creator><dc:creator>Moser,	Thomas	(Avtor)
	</dc:creator><dc:creator>Anžlin,	Andrej	(Avtor)
	</dc:creator><dc:creator>Kosič,	Mirko	(Avtor)
	</dc:creator><dc:creator>Kreslin,	Maja	(Avtor)
	</dc:creator><dc:creator>Hekič,	Doron	(Avtor)
	</dc:creator><dc:subject>distributed acoustic sensing</dc:subject><dc:subject>distributed fiber optic sensing</dc:subject><dc:subject>structural health monitoring</dc:subject><dc:subject>frequency analysis</dc:subject><dc:subject>load test</dc:subject><dc:subject>infrastructure monitoring</dc:subject><dc:subject>bridge monitoring</dc:subject><dc:description>In this study, we investigate the load-bearing capacity of pre-stressed concrete girders under various damage levels. We employed Distributed Acoustic Sensing (DAS) technology to monitor and quantify changes in the girder response as damage levels were incrementally introduced. This approach enabled the real-time measurement of dynamic behavior over the entire length of the girder, allowing for a detailed characterization of damage-induced structural changes. To complement the DASbased approach, we also applied classical acceleration-based damage detection techniques. By integrating these methods, we aimed to cross-validate the results and provide a more comprehensive understanding of damage progression and its impact on structural performance. The experimental campaign, conducted in Ljubljana, ZAG, involved full-scale testing of pre-stressed concrete girders subjected to controlled damage scenarios. This setup ensured a realistic assessment of the girders’ residual capacity and failure mechanisms. The paper presents preliminary results from this experimental study, emphasizing the capability of DAS measurements to detect and characterize damage, while also comparing its performance against traditional methods. By combining advanced sensing technologies with established techniques, this research highlights the potential of DAS as a transformative tool in structural health monitoring.</dc:description><dc:publisher>Verlag der Technischen Universität Graz</dc:publisher><dc:date>2025</dc:date><dc:date>2026-01-22 11:55:24</dc:date><dc:type>Neznano</dc:type><dc:identifier>25538</dc:identifier><dc:identifier>UDK: 624</dc:identifier><dc:identifier>DOI: 10.3217/978-3-99161-057-1</dc:identifier><dc:identifier>COBISS_ID: 259851267</dc:identifier><dc:identifier>OceCobissID: 256692995</dc:identifier><dc:language>sl</dc:language></metadata>
