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Structural Health Monitoring on Industrial Structures Using a Combined Numerical and Experimental Approach

  • Fabian Keilpflug
  • Robert Kamenzky
  • Daniel J. AlarcónEmail author
  • Tarun Teja Mallareddy
  • Peter Blaschke
Conference paper
Part of the Conference Proceedings of the Society for Experimental Mechanics Series book series (CPSEMS)

Abstract

The Brandenburg industrial landscape is characterized by heavy industry sectors such as metallurgy and mining. Most of these industrial plants (ironworks, refineries, mines, etc.) have their origin in the state-planned rapid industrialization the German Democratic Republic underwent during the 1950s. Therefore, many critical constructive parts of these industrial plants have already surpassed their life expectancy or its remaining life expectancy can no longer be clearly determined due to poor documentation.

Heavy duty bridge cranes are an essential part of heavy industries or warehouses. During the course of their lives, these cranes and their rails are exposed to many different loads, damages and material fatigue processes during operation. Runway beams, those where the bridge crane runs on, are especially prone to the generation of cracks due to material fatigue. Condition monitoring and early damage detection can ensure the long-term load capacity and serviceability of bridge cranes, and contribute to a more cost-effective maintenance.

This paper presents the results of a feasibility study for a vibroacoustic damage detection procedure on bridge crane runway beams. A segment of a railway beam has been studied with experimental modal analysis and the results used to correlate and validate a FE model, generated by means of optical scanning. The modal analysis was performed by means of automatic impact excitation and Scanning Laser Doppler Vibrometry. Several damage cases were later simulated in the FE model, evaluating this way the development potential for a vibroacoustic method for damage detection in bridge crane railway beams.

Keywords

Structural health monitoring Overhead crane Beam Scanning Laser Doppler Vibrometry Damage detection 

Notes

Acknowledgements

The authors would like to express their gratitude to Mr. Torsten Pohlan and Mr. Lars Koczius from ArcelorMittal Eisenhüttenstadt GmbH for their support in the logistics of this project.

References

  1. 1.
    Schlütter, B.: Studieren in Wildau—Ein Hochschul-Porträt in Bildern, MediaService Verlag Bernd Schlütter (2013)Google Scholar
  2. 2.
    Zukunftsagentur Brandenburg: Brandenburgs Schwergewicht—Masterplan für das Cluster Metall Brandenburg, Clustermanagement Cluster Metall Brandenburg (2014)Google Scholar
  3. 3.
    Munck Cranes Inc.: Overhead crane components, online resource. http://www.munckcranes.com/overheadcranecomponents.asp. Accessed 20th Oct 2018

Copyright information

© Society for Experimental Mechanics, Inc. 2020

Authors and Affiliations

  • Fabian Keilpflug
    • 1
  • Robert Kamenzky
    • 1
  • Daniel J. Alarcón
    • 1
    Email author
  • Tarun Teja Mallareddy
    • 1
  • Peter Blaschke
    • 1
    • 2
  1. 1.Laboratory for Machine Dynamics and NVHTechnical University of Applied Sciences WildauWildauGermany
  2. 2.NV Tech Design GmbHSteinheimGermany

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