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    <pageFirst>131</pageFirst>
    <pageLast>140</pageLast>
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    <publisherName>Springer Nature Switzerland AG</publisherName>
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    <title language="eng">Determination of the Effect of Sloshing on the Railcar-Track Dynamic Behavior</title>
    <abstract language="eng">This paper presents the study of the impact caused by a liquid Cargo on a railway infrastructure. The dynamic behavior of a tank car corresponds to a multibody dynamic system with several degrees of freedom. This study’s data were obtained from a scale experimental fixture consisting of a track and a railcar with a tank. The track was instrumented with strain gauges and the railcar with accelerometers. The data showed non-periodic and periodic terms; therefore, the results were analyzed with the Empirical Mode Decomposition method (EMD).&#13;
It was found that the EMD identified the signal components that were related to the sloshing. These components represent the mode shapes of the original signal.&#13;
The location of the sloshing in the track was found applying spectrograms to the accelerometer data. This paper’s experimental outputs suggest that the sloshing effect is detectable at the track and in the vehicle dynamics.</abstract>
    <parentTitle language="eng">Multibody Mechatronic Systems</parentTitle>
    <identifier type="isbn">978-3-030-88750-6</identifier>
    <identifier type="doi">10.1007/978-3-030-88751-3_14</identifier>
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    <author>J. C. Jauregui-Correa</author>
    <author>Frank Otremba</author>
    <author>José A. Romero-Navarrete</author>
    <author>G. Hurtado-Hurtado</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Sloshing effect</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Empirical Mode Decomposition</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Wheel/track interaction</value>
    </subject>
    <subject>
      <language>eng</language>
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      <value>Multibody dynamics</value>
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  <doc>
    <id>55748</id>
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    <publishedYear>2022</publishedYear>
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    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>16</pageLast>
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    <edition/>
    <issue/>
    <volume>8</volume>
    <type>article</type>
    <publisherName>Frontiers Media</publisherName>
    <publisherPlace>Lausanne</publisherPlace>
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    <title language="eng">Method for predicting dynamic loads for a health monitoring system for subway tracks</title>
    <abstract language="eng">This paper presents a method for processing acceleration data registered on a train and determining the health condition of a subway’s substructure. The acceleration data was converted into a dynamic deformation by applying a transfer function defined using the Empirical Mode Decomposition Method.&#13;
The transfer function was constructed using data produced on an experimental rig, and it was scaled to an existing subway system. The equivalent deformation improved the analysis of the dynamic loads that affect the substructure of the subway tracks because it is considered the primary load that acts on the track and substructure. The acceleration data and the estimated deformations were analyzed with the Continues Wavelet Transform. The equivalent deformation data facilitated the application of a health monitoring system and simplified the development of predictive maintenance programs for the subway or railroad operators. This method better identified cracks in the substructure than using the acceleration data.</abstract>
    <parentTitle language="eng">Frontiers in mechanical engineering</parentTitle>
    <identifier type="doi">10.3389/fmech.2022.858424</identifier>
    <identifier type="urn">urn:nbn:de:kobv:b43-557480</identifier>
    <identifier type="issn">2297-3079</identifier>
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    <enrichment key="date_peer_review">19.10.2022</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>J. C. Jauregui-Correa</author>
    <author>L. Morales-Velazquez</author>
    <author>Frank Otremba</author>
    <author>G. Hurtado-Hurtado</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Health monitoring</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Transfer function</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Railroad</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Substructure failures</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Dynamic loads</value>
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    <collection role="ddc" number="624">Ingenieurbau</collection>
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    <thesisPublisher>Bundesanstalt für Materialforschung und -prüfung (BAM)</thesisPublisher>
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    <id>53572</id>
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    <publishedYear>2021</publishedYear>
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    <language>eng</language>
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    <title language="eng">Determination of the effect of sloshing on the railcar-track dynamic behavior</title>
    <abstract language="eng">Liquid cargo has a significant impact on the interface wheel-track interaction. The sloshing affects the track-railcar's dynamic behavior. The effect is detectable at the track level and at the vehicle. Its characterization requires the combination of different techniques:&#13;
Empirical Mode Decomposition (EMD)&#13;
Time-Frequency Maps&#13;
Sloshing occurred when significant perturbations happened in the railcar:&#13;
The railcar entered a curve&#13;
Reduction in its travel speed&#13;
A railcar with a tank is a clear example of a multibody dynamic system with a nonlinear behavior.</abstract>
    <enrichment key="eventName">7th International Symposium on Multibody Systems and Mechatronics - MuSMe 2021</enrichment>
    <enrichment key="eventPlace">Córdoba, Argentina</enrichment>
    <enrichment key="eventStart">12.10.2021</enrichment>
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    <author>J. C. Jauregui-Correa</author>
    <author>Frank Otremba</author>
    <author>José A. Romero-Navarrete</author>
    <author>G. Hurtado-Hurtado</author>
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      <language>eng</language>
      <type>uncontrolled</type>
      <value>Liquid cargo</value>
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    <subject>
      <language>eng</language>
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      <value>Wheel-track interaction</value>
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    <subject>
      <language>eng</language>
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      <value>Sloshing affects</value>
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    <subject>
      <language>eng</language>
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      <value>Vehicle</value>
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    <collection role="ddc" number="624">Ingenieurbau</collection>
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    <id>55566</id>
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    <publishedYear>2020</publishedYear>
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    <title language="eng">Experimental test rig for simulating dynamic loads on subway systems</title>
    <abstract language="eng">Scaled-down experimental facility: Can reproduce actual failures; can produce simulated data for identifying cracks in the substructure or other defects. The acceleration data can be converted into an equivalent deformation. The experimental facility can analyse dynamic loads. Equivalent force data: Facilitates the application to a health monitoring system; simplifies the development of predictive maintenance. These data is helpful in validating analytical or simulation models.</abstract>
    <parentTitle language="eng">Railways 2022</parentTitle>
    <enrichment key="eventName">Fifth International Conference on Railway Technology</enrichment>
    <enrichment key="eventPlace">Montpellier, France</enrichment>
    <enrichment key="eventStart">22.08.2022</enrichment>
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    <author>J. C. Jauregui-Correa</author>
    <author>Frank Otremba</author>
    <author>G. Hurtado-Hurtado</author>
    <author>J. A. Romero-Navarrete</author>
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      <language>eng</language>
      <type>uncontrolled</type>
      <value>Test rig</value>
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    <subject>
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    <title language="eng">Experimental test rig for simulating dynamic loads on subway systems</title>
    <abstract language="eng">Degradation in substructures, Mexico’s City Subway. Improve predictions using vibration Measurements. Ability to test operating conditions at&#13;
Laboratory. Improve previous laboratory rig. Control operating conditions. Produce enough data for evaluating actual conditions.</abstract>
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