Analytical evaluation of the lifetime of a three-axle bogie frame using the analytical model validated through experimental modal analysis
The fatigue strength validation by tests of the railway bogie frames requires existence of an expensive laboratory and a long time for testing, of about 6 to 10 months. Considering these aspects, the european norms admit that fatigue tests can be replaced by finite elementes analysis, with condition...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2018-01-01
|
Series: | MATEC Web of Conferences |
Online Access: | https://doi.org/10.1051/matecconf/201821106004 |
id |
doaj-db7e1e9e1f5547d39a754322df77c068 |
---|---|
record_format |
Article |
spelling |
doaj-db7e1e9e1f5547d39a754322df77c0682021-02-02T06:56:30ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012110600410.1051/matecconf/201821106004matecconf_vetomacxiv2018_06004Analytical evaluation of the lifetime of a three-axle bogie frame using the analytical model validated through experimental modal analysisIon ManeaIoan SebesanMihai MatacheGabriel PrentaCatalin FiricelThe fatigue strength validation by tests of the railway bogie frames requires existence of an expensive laboratory and a long time for testing, of about 6 to 10 months. Considering these aspects, the european norms admit that fatigue tests can be replaced by finite elementes analysis, with condition that analytical model to be correctly realized and validated by tests. Experimental modal analysis provides a powerful tool for validation of the FEA model through experimental data. The article presents an application for analytical assessment of the fatigue strength for a three-axle locomotive bogie frame, before sending it to the laboratory fatigue tests. Using Ansys, it was carried out the structural analysis of the bogie frame, rezulting the modal model characterized by the modal parameters: eigenfrequencies and eigenshapes. The analytical model was validated through an EMA application carried out on the bogie frame and correlation analysis of the EMA and FEA models. The analytical model and data files containing the simulated vertical, transverse and twist loads, applied to the bogie frame according to EN13749/2011, constitutes the input data for nCode program, that evaluates the bogie frame lifetime using appropriate stress curves and a recognized hypothesis of damage accumulation.https://doi.org/10.1051/matecconf/201821106004 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ion Manea Ioan Sebesan Mihai Matache Gabriel Prenta Catalin Firicel |
spellingShingle |
Ion Manea Ioan Sebesan Mihai Matache Gabriel Prenta Catalin Firicel Analytical evaluation of the lifetime of a three-axle bogie frame using the analytical model validated through experimental modal analysis MATEC Web of Conferences |
author_facet |
Ion Manea Ioan Sebesan Mihai Matache Gabriel Prenta Catalin Firicel |
author_sort |
Ion Manea |
title |
Analytical evaluation of the lifetime of a three-axle bogie frame using the analytical model validated through experimental modal analysis |
title_short |
Analytical evaluation of the lifetime of a three-axle bogie frame using the analytical model validated through experimental modal analysis |
title_full |
Analytical evaluation of the lifetime of a three-axle bogie frame using the analytical model validated through experimental modal analysis |
title_fullStr |
Analytical evaluation of the lifetime of a three-axle bogie frame using the analytical model validated through experimental modal analysis |
title_full_unstemmed |
Analytical evaluation of the lifetime of a three-axle bogie frame using the analytical model validated through experimental modal analysis |
title_sort |
analytical evaluation of the lifetime of a three-axle bogie frame using the analytical model validated through experimental modal analysis |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2018-01-01 |
description |
The fatigue strength validation by tests of the railway bogie frames requires existence of an expensive laboratory and a long time for testing, of about 6 to 10 months. Considering these aspects, the european norms admit that fatigue tests can be replaced by finite elementes analysis, with condition that analytical model to be correctly realized and validated by tests. Experimental modal analysis provides a powerful tool for validation of the FEA model through experimental data. The article presents an application for analytical assessment of the fatigue strength for a three-axle locomotive bogie frame, before sending it to the laboratory fatigue tests. Using Ansys, it was carried out the structural analysis of the bogie frame, rezulting the modal model characterized by the modal parameters: eigenfrequencies and eigenshapes. The analytical model was validated through an EMA application carried out on the bogie frame and correlation analysis of the EMA and FEA models. The analytical model and data files containing the simulated vertical, transverse and twist loads, applied to the bogie frame according to EN13749/2011, constitutes the input data for nCode program, that evaluates the bogie frame lifetime using appropriate stress curves and a recognized hypothesis of damage accumulation. |
url |
https://doi.org/10.1051/matecconf/201821106004 |
work_keys_str_mv |
AT ionmanea analyticalevaluationofthelifetimeofathreeaxlebogieframeusingtheanalyticalmodelvalidatedthroughexperimentalmodalanalysis AT ioansebesan analyticalevaluationofthelifetimeofathreeaxlebogieframeusingtheanalyticalmodelvalidatedthroughexperimentalmodalanalysis AT mihaimatache analyticalevaluationofthelifetimeofathreeaxlebogieframeusingtheanalyticalmodelvalidatedthroughexperimentalmodalanalysis AT gabrielprenta analyticalevaluationofthelifetimeofathreeaxlebogieframeusingtheanalyticalmodelvalidatedthroughexperimentalmodalanalysis AT catalinfiricel analyticalevaluationofthelifetimeofathreeaxlebogieframeusingtheanalyticalmodelvalidatedthroughexperimentalmodalanalysis |
_version_ |
1724300382173134848 |