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Fangyu Liu

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Liu, Jian / Liu, Fangyu / Wang, Linbing: Automated, economical, and environmentally-friendly asphalt mix design based on machine learning and multi-objective grey wolf optimization. In: Journal of Traffic and Transportation Engineering (English Edition).

    https://doi.org/10.1016/j.jtte.2023.10.002

  2. Liu, Fangyu / Liu, Jian / Wang, Linbing / Al-Qadi, Imad L. (2024): Multiple-type distress detection in asphalt concrete pavement using infrared thermography and deep learning. In: Automation in Construction, v. 161 (May 2024).

    https://doi.org/10.1016/j.autcon.2024.105355

  3. Liu, Fangyu / Ding, Wenqi / Qiao, Yafei / Wang, Linbing (2024): Transfer learning-based encoder-decoder model with visual explanations for infrastructure crack segmentation: New open database and comprehensive evaluation. In: Underground Space, v. 17 (August 2024).

    https://doi.org/10.1016/j.undsp.2023.09.012

  4. Liu, Jian / Liu, Fangyu / Wang, Zhen / Fanijo, Ebenezer O. / Wang, Linbing (2023): Involving prediction of dynamic modulus in asphalt mix design with machine learning and mechanical-empirical analysis. In: Construction and Building Materials, v. 407 (December 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.133610

  5. Chang, Jun / Zhang, Hong / Liu, Fangyu / Cui, Kai (2024): Exploring the mechanism of micro-nano bubble water in enhancing the mechanical properties of sulfoaluminate cement-based materials. In: Construction and Building Materials, v. 411 (January 2024).

    https://doi.org/10.1016/j.conbuildmat.2023.134400

  6. Liu, Fangyu / Li, Junlin / Wang, Linbing (2023): PI-LSTM: Physics-informed long short-term memory network for structural response modeling. In: Engineering Structures, v. 292 (October 2023).

    https://doi.org/10.1016/j.engstruct.2023.116500

  7. Liu, Fangyu / Liu, Jian / Wang, Linbing (2022): Asphalt pavement fatigue crack severity classification by infrared thermography and deep learning. In: Automation in Construction, v. 143 (November 2022).

    https://doi.org/10.1016/j.autcon.2022.104575

  8. Liu, Jian / Liu, Fangyu / Zheng, Chuanfeng / Fanijo, Ebenezer O. / Wang, Linbing (2022): Improving asphalt mix design considering international roughness index of asphalt pavement predicted using autoencoders and machine learning. In: Construction and Building Materials, v. 360 (December 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.129439

  9. Liu, Jian / Liu, Fangyu / Zheng, Chuanfeng / Zhou, Daodao / Wang, Linbing (2022): Optimizing asphalt mix design through predicting the rut depth of asphalt pavement using machine learning. In: Construction and Building Materials, v. 356 (November 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.129211

  10. Liu, Jian / Liu, Fangyu / Gong, Hongren / Fanijo, Ebenezer O. / Wang, Linbing (2022): Improving asphalt mix design by predicting alligator cracking and longitudinal cracking based on machine learning and dimensionality reduction techniques. In: Construction and Building Materials, v. 354 (November 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.129162

  11. Liu, Fangyu / Wang, Linbing (2022): UNet-based model for crack detection integrating visual explanations. In: Construction and Building Materials, v. 322 (March 2022).

    https://doi.org/10.1016/j.conbuildmat.2021.126265

  12. Liu, Fangyu / Liu, Jian / Wang, Linbing (2022): Deep learning and infrared thermography for asphalt pavement crack severity classification. In: Automation in Construction, v. 140 (August 2022).

    https://doi.org/10.1016/j.autcon.2022.104383

  13. Liu, Fangyu / Ye, Zhoujing / Wang, Linbing (2022): Deep transfer learning-based vehicle classification by asphalt pavement vibration. In: Construction and Building Materials, v. 342 (August 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.127997

  14. Liu, Jian / Liu, Fangyu / Zheng, Chuanfeng / Zhou, Daodao / Wang, Linbing (2022): Optimizing asphalt mix design through predicting effective asphalt content and absorbed asphalt content using machine learning. In: Construction and Building Materials, v. 325 (March 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.126607

  15. Liu, Fangyu / Ding, Wenqi / Qiao, Yafei / Wang, Linbing (2020): An artificial neural network model on tensile behavior of hybrid steel-PVA fiber reinforced concrete containing fly ash and slag power. In: Frontiers of Structural and Civil Engineering, v. 14, n. 6 (August 2020).

    https://doi.org/10.1007/s11709-020-0712-6

  16. Liu, Fangyu / Ding, Wenqi / Qiao, Yafei (2020): Experimental investigation on the tensile behavior of hybrid steel-PVA fiber reinforced concrete containing fly ash and slag powder. In: Construction and Building Materials, v. 241 (April 2020).

    https://doi.org/10.1016/j.conbuildmat.2020.118000

  17. Liu, Fangyu / Ding, Wenqi / Qiao, Yafei (2019): Experimental investigation on the flexural behavior of hybrid steel-PVA fiber reinforced concrete containing fly ash and slag powder. In: Construction and Building Materials, v. 228 (December 2019).

    https://doi.org/10.1016/j.conbuildmat.2019.116706

  18. Liu, Fangyu / Ding, Wenqi / Qiao, Yafei (2019): An experimental investigation on the integral waterproofing capacity of polypropylene fiber concrete with fly ash and slag powder. In: Construction and Building Materials, v. 212 (July 2019).

    https://doi.org/10.1016/j.conbuildmat.2019.04.027

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