Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Aalto University

in Cooperation with on an Cooperation-Score of 37%

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Publications (1/1 displayed)

  • 2023EMPIRICAL MODE DECOMPOSITION FOR NOISE DETECTION AND FILTRATION OF ICE-INDUCED LOAD MEASUREMENTScitations

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Suominen, Mikko
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Valdez Banda, Osiris Alejandro
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2023

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  • Suominen, Mikko
  • Valdez Banda, Osiris Alejandro
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document

EMPIRICAL MODE DECOMPOSITION FOR NOISE DETECTION AND FILTRATION OF ICE-INDUCED LOAD MEASUREMENTS

  • Bahootoroody, Ahmad
  • Suominen, Mikko
  • Valdez Banda, Osiris Alejandro
Abstract

Structure-ice interaction is a complex process. The related failure process may include intermediate failures of ice, e.g. flacking, that decreases the load level temporarily before larger failures like bending failure occurs. Simultaneously, loads on a frame move and can reach a level of MN. The loads are commonly determined from the structural response with strain gauge measurements where the noise may be few kNs. As the changes in load level related to intermediate failures may be at the same level as noise, it is difficult to separate noise from the measurements.<br/>Empirical Mode Decomposition is a relatively new method in engineering that considers the measurement signal to be composed of a set of functions. The method parses the measurement data into Intrinsic Mode Functions that represent the true data and noise. Removing the modes related to noise enables the use of the method as a filter. This study applies the described filtration technique to the full-scale measurements conducted onboard S.A. Agulhas II in the Baltic Sea. The results demonstrate a good applicability of the method for the filtration of the data that can be applied in the load identification from the measurement data in the future studies.

Topics
  • impedance spectroscopy
  • decomposition