Silo quake response spectrum of iron ore train load out bin

Silo quaking is a very complex industrial phenomenon and is often occurred in silo structures during discharge. There are three variants of the silo quaking phenomenon such as silo honking, silo shock and silo pulsation. Accelerometers are often used in practice to measure the responses of the struc...

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Main Authors: Tu, P., Vimonsatit, V., Li, Jun
Format: Journal Article
Published: Elsevier 2018
Online Access:http://hdl.handle.net/20.500.11937/73487
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author Tu, P.
Vimonsatit, V.
Li, Jun
author_facet Tu, P.
Vimonsatit, V.
Li, Jun
author_sort Tu, P.
building Curtin Institutional Repository
collection Online Access
description Silo quaking is a very complex industrial phenomenon and is often occurred in silo structures during discharge. There are three variants of the silo quaking phenomenon such as silo honking, silo shock and silo pulsation. Accelerometers are often used in practice to measure the responses of the structure. The accelerations generated by the silo structure during discharge are of non-linear and non-stationary nature. Therefore traditional algorithm, such as Fast Fourier Transform, which was designed to analyse linear and stationary signals and often used to analyse the collected acceleration data, is not suitable for signals generated by the silo structure during discharge. In the present research, Hilbert-Huang Transform and Hilbert Marginal Spectrum created by Norden Huang, a mathematician at NASA to analyse non-linear and non-stationary signals, were used to analyse the accelerograms collected from the experimental silo. The results revealed the existence of a silo quake spectrum which lays a solid foundation for further research into the silo quaking phenomenon and especially structural design methods to mitigate the effects of silo quaking on the silo structure.
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institution Curtin University Malaysia
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publishDate 2018
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spelling curtin-20.500.11937-734872019-06-27T06:07:36Z Silo quake response spectrum of iron ore train load out bin Tu, P. Vimonsatit, V. Li, Jun Silo quaking is a very complex industrial phenomenon and is often occurred in silo structures during discharge. There are three variants of the silo quaking phenomenon such as silo honking, silo shock and silo pulsation. Accelerometers are often used in practice to measure the responses of the structure. The accelerations generated by the silo structure during discharge are of non-linear and non-stationary nature. Therefore traditional algorithm, such as Fast Fourier Transform, which was designed to analyse linear and stationary signals and often used to analyse the collected acceleration data, is not suitable for signals generated by the silo structure during discharge. In the present research, Hilbert-Huang Transform and Hilbert Marginal Spectrum created by Norden Huang, a mathematician at NASA to analyse non-linear and non-stationary signals, were used to analyse the accelerograms collected from the experimental silo. The results revealed the existence of a silo quake spectrum which lays a solid foundation for further research into the silo quaking phenomenon and especially structural design methods to mitigate the effects of silo quaking on the silo structure. 2018 Journal Article http://hdl.handle.net/20.500.11937/73487 10.1016/j.apt.2018.07.026 Elsevier restricted
spellingShingle Tu, P.
Vimonsatit, V.
Li, Jun
Silo quake response spectrum of iron ore train load out bin
title Silo quake response spectrum of iron ore train load out bin
title_full Silo quake response spectrum of iron ore train load out bin
title_fullStr Silo quake response spectrum of iron ore train load out bin
title_full_unstemmed Silo quake response spectrum of iron ore train load out bin
title_short Silo quake response spectrum of iron ore train load out bin
title_sort silo quake response spectrum of iron ore train load out bin
url http://hdl.handle.net/20.500.11937/73487