0
  • DE
  • EN
  • FR
  • Internationale Datenbank und Galerie für Ingenieurbauwerke

Anzeige

Song-Shun Lin

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Lin, Song-Shun / Zhou, Annan / Shen, Shui-Long (2024): Multi-status Bayesian network for analyzing collapse risk of excavation construction. In: Automation in Construction, v. 158 (Februar 2024).

    https://doi.org/10.1016/j.autcon.2023.105193

  2. Lin, Song-Shun / Zhou, Annan / Shen, Shui-Long (2023): Optimal construction method evaluation for underground infrastructure construction. In: Automation in Construction, v. 152 (August 2023).

    https://doi.org/10.1016/j.autcon.2023.104921

  3. Lin, Song-Shun / Zhang, Ning / Zhou, Annan / Shen, Shui-Long (2022): Risk evaluation of excavation based on fuzzy decision-making model. In: Automation in Construction, v. 136 (April 2022).

    https://doi.org/10.1016/j.autcon.2022.104143

  4. Lin, Song-Shun / Zhang, Ning / Zhou, Annan / Shen, Shui-Long (2022): Time-series prediction of shield movement performance during tunneling based on hybrid model. In: Tunnelling and Underground Space Technology, v. 119 (Januar 2022).

    https://doi.org/10.1016/j.tust.2021.104245

  5. Lin, Song-Shun / Shen, Shui-Long / Zhou, Annan / Zhang, Ning (2021): Ensemble model for risk status evaluation of excavation. In: Automation in Construction, v. 132 (Dezember 2021).

    https://doi.org/10.1016/j.autcon.2021.103943

  6. Lin, Song-Shun / Shen, Shui-Long / Zhang, Ning / Zhou, Annan (2021): Comprehensive environmental impact evaluation for concrete mixing station (CMS) based on improved TOPSIS method. In: Sustainable Cities and Society, v. 69 (Juni 2021).

    https://doi.org/10.1016/j.scs.2021.102838

  7. Lin, Song-Shun / Shen, Shui-Long / Zhou, Annan / Xu, Ye-Shuang (2021): Risk assessment and management of excavation system based on fuzzy set theory and machine learning methods. In: Automation in Construction, v. 122 (Februar 2021).

    https://doi.org/10.1016/j.autcon.2020.103490

Eine Veröffentlichung suchen...

Nur verfügbar mit
Mein Structurae

Volltext
Structurae kooperiert mit
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine