Titlebook: Data Science in Engineering Vol. 10; Proceedings of the 4 Thomas Matarazzo,Fran?ois Hemez,Austin Downey Conference proceedings 2025 The Soc

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Olivia Bennett,Christopher McDowelluctural health monitoring (SHM) tasks, such as structural damage detection (SDD). The structures must meet specific similitude criteria for the proposed TL technique’s effectiveness in current one-to-one domain approaches. To overcome this challenge, the authors have developed a novel TL method that

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H.-D. Bolte,TH. v. Arnim,U. Tebbe,E. Erdmannble sensor packages has gained significant attention. While compact sensors with wireless data transfer capabilities have demonstrated potential for monitoring structural dynamics of critical infrastructure, such systems typically require data to be processed off-device and often off-site. These add

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Tony Burnett,Simon Kettleborough measurements are recorded via a bonded piezoelectric transducer, at a high-frequency range, typically 30 kHz and above. Because EMI measurements are single input single output, the peaks in these measurements can be related to either mechanical, electrical, or coupled electromechanical modes, espec

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Chronische Erkrankungen und Neoplasmen,omena that affect the structure, one can follow a data-driven approach to model its behaviour, relying exclusively on data acquired from it. However, a common problem of this approach is the scarcity of data or biased data. To deal with these two problems, approaches have been considered to transfer

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https://doi.org/10.1007/978-3-642-67123-4probabilistic case, within the Bayesian framework. We present a method to draw samples from a given target distribution defined on various matrix manifolds. The collected samples can be used to propagate uncertainty on the reduction matrix and other quantities of interest.

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tem can be inferred by monitoring key species which are indicative of the overall health of the ecosystem. Microphones have emerged as a powerful tool for detecting bird calls of these key indicator species. However, using an array of microphones to monitor a large area requires a power source at ea

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frastructure. As a phenomenon, when structures are loaded, AE sensors mounted on the surface of the structure receive the waves released from the damage and convert them into electrical signals. By analyzing and evaluating these recorded signals, critical information such as type, location, time of

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c devices and search and rescue. This recently has been done using a greedy approach, where a sensor is moved closer to the target after each measurement. However, this does not allow for other constraints, such as maintaining a fixed distance from the target or optimization of energy consumption. S

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https://doi.org/10.1007/978-3-642-56116-0ing buildings, bridges, pipelines, and storage tanks. It relies on analyzing the acoustic activity, primarily associated with cracking phenomena, to assess structural integrity. However, one crucial parameter derived from AE signals is the time of arrival (ToA) of acoustic events, which is challengi