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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. Lv, Wenshu / Jia, Junfeng / Chen, Xize / Yao, Xiaofei / Bai, Yulei (2024): Predicting shear strength in UHPC beams through an innovative neural network with SHAP interpretation. In: Case Studies in Construction Materials, v. 20 (July 2024).

    https://doi.org/10.1016/j.cscm.2024.e03211

  2. Yang, Min / Li, Chao / Liu, Hao / Huo, Longfei / Yao, Xiaofei / Wang, Bolin / Yao, Wenqi / Zhang, Zedi / Ding, Jianming / Zhang, Yamei / Ding, Xiaojun (2024): Exploring the potential for carrying capacity and reusability of 3D printed concrete bridges: Construction, dismantlement, and reconstruction of a box arch bridge. In: Case Studies in Construction Materials, v. 20 (July 2024).

    https://doi.org/10.1016/j.cscm.2024.e02938

  3. Han, Yi / Chen, Yumin / Chen, Runze / Liu, Hanlong / Yao, Xiaofei (2023): Effect of incorporating discarded facial mask fiber on mechanical properties of MICP–treated sand. In: Construction and Building Materials, v. 395 (September 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.132299

  4. Yao, Xiaofei / Lyu, Xin / Sun, Junbo / Wang, Bolin / Wang, Yufei / Yang, Min / Wei, Yao / Elchalakani, Mohamed / Li, Danqi / Wang, Xiangyu (2023): AI-based performance prediction for 3D-printed concrete considering anisotropy and steam curing condition. In: Construction and Building Materials, v. 375 (April 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.130898

  5. Wang, Bolin / Zhai, Mingang / Yao, Xiaofei / Wu, Qing / Yang, Min / Wang, Xiangyu / Huang, Jizhuo / Zhao, Hongyu (2022): Printable and Mechanical Performance of 3D Printed Concrete Employing Multiple Industrial Wastes. In: Buildings, v. 12, n. 3 (8 March 2022).

    https://doi.org/10.3390/buildings12030374

  6. Liu, Lu / Zhang, Shushan / Yao, Xiaofei / Gao, Hongmei / Wang, Zhihua / Shen, Zhifu (2021): Liquefaction Evaluation Based on Shear Wave Velocity Using Random Forest. In: Advances in Civil Engineering, v. 2021 (January 2021).

    https://doi.org/10.1155/2021/3230343

  7. Yao, Xiaofei / Liu, Lu / Wang, Zhihua / Shen, Zhifu / Gao, Hongmei (2021): A Vs-Based Logistic Regression Method for Liquefaction Evaluation. In: Advances in Civil Engineering, v. 2021 (January 2021).

    https://doi.org/10.1155/2021/5535387

  8. Yao, Xiaofei / Xu, Yue (2010): Experimental Study on Damage Assessment of Concrete T-beam Bridges. In: Journal of Highway and Transportation Research and Development (English Edition), v. 4, n. 2 (July 2010).

    https://doi.org/10.1061/jhtrcq.0000293

  9. Xie, Qifang / Zhao, Xudong / Yao, Xiaofei / Hao, Wenming / Hu, Fangzheng (2020): Seismic behaviors of precast assembled bridge columns connected with prestressed threaded steel bar: Experimental test and hysteretic model. In: Advances in Structural Engineering, v. 23, n. 9 (February 2020).

    https://doi.org/10.1177/1369433220903988

  10. Ding, Yijie / Yao, Xiaofei / Wang, Sheliang / Zhao, Xindong (2019): Structural damage assessment using improved Dempster-Shafer data fusion algorithm. In: Earthquake Engineering and Engineering Vibration, v. 18, n. 2 (April 2019).

    https://doi.org/10.1007/s11803-019-0511-z

  11. Wei, Ya / Wu, Zehong / Yao, Xiaofei / Gao, Xiang (2019): Quantifying Effect of Later Curing on Pores of Paste Subject to Early-Age Freeze-Thaw Cycles by Different Techniques. In: Journal of Materials in Civil Engineering (ASCE), v. 31, n. 8 (August 2019).

    https://doi.org/10.1061/(asce)mt.1943-5533.0002801

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