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Forecasting ballast performance under fast heavy-haul trains using an analytical-machine learning track (AMLT) model.

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Bibliographic Details
Title: Forecasting ballast performance under fast heavy-haul trains using an analytical-machine learning track (AMLT) model.
Authors: Malisetty, Rakesh Sai1,2, Indraratna, Buddhima1,2, Buddhima.indraratna@uts.edu.au, Alagesan, Srinivas1,2, Kelly, Richard3
Source: Canadian Geotechnical Journal; 2/4/2026, Vol. 63, p1-20, 20p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 191275555
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1139/cgj-2025-0423
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 20
        StartPage: 1
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      – TitleFull: Forecasting ballast performance under fast heavy-haul trains using an analytical-machine learning track (AMLT) model.
        Type: main
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            NameFull: Malisetty, Rakesh Sai
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            NameFull: Indraratna, Buddhima
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            NameFull: Alagesan, Srinivas
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            NameFull: Kelly, Richard
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            – D: 04
              M: 02
              Text: 2/4/2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 00083674
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              Value: 63
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            – TitleFull: Canadian Geotechnical Journal
              Type: main
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