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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, Yushan / Jiang, Lilong / Li, Jianqiu / Zhang, Qinggang / Yang, Lin / Cao, Jianxin (2024): Study on the Performance and Hydration Mechanism of Concrete Incorporating Phosphorus Tailings. In: Journal of Materials in Civil Engineering (ASCE), v. 36, n. 9 (September 2024).

    https://doi.org/10.1061/jmcee7.mteng-17946

  2. He, Shaokun / Yang, Lin / Hu, Guotao / Cao, Jianxin (2023): Deep removal of phosphate impurities in phosphogypsum by two-step crystal transformation for use as Portland cement retarder. In: Journal of Building Engineering, v. 79 (November 2023).

    https://doi.org/10.1016/j.jobe.2023.107831

  3. Chen, Long / Yang, Lin / Cao, Jianxin (2023): Utilization of phosphogypsum to synthesize α-hemihydrate gypsum in H3PO4–H2O solution. In: Construction and Building Materials, v. 368 (March 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.130453

  4. Liu, Hao / Nie, Chenchen / Li, Hongping / Xie, Guiming / Cao, Jianxin (2022): Hydrophobically modified phosphogypsum and its application in polypropylene composites. In: Construction and Building Materials, v. 347 (September 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.128500

  5. Cao, Jianxin / Liu, Yang (2019): Damage localization for bridges monitored within one cluster based on a spatiotemporal correlation model of strain monitoring data. In: Structural Health Monitoring, v. 22, n. 1 (November 2019).

    https://doi.org/10.1177/14759217221078766

  6. Cao, Jianxin / Zhang, Shaoyi / Liu, Yang (2021): Probabilistic SDDLV method for localizing damage in bridges monitored within one cluster under time-varying environmental temperatures. In: Journal of Civil Structural Health Monitoring, v. 12, n. 1 (November 2021).

    https://doi.org/10.1007/s13349-021-00524-6

  7. Cao, Jianxin / Liu, Yang / Li, Changping (2021): Damage cross detection between bridges monitored within one cluster using the difference ratio of projected strain monitoring data. In: Structural Health Monitoring, v. 21, n. 2 (May 2021).

    https://doi.org/10.1177/14759217211006792

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