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Haonan Qi

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

  1. Zhang, Yang / Zhang, Jinglin / Ma, Tao / Qi, Haonan / Chen, Conglin (2023): Predicting asphalt mixture fatigue life via four-point bending tests based on viscoelastic continuum damage mechanics. In: Case Studies in Construction Materials, v. 19 (Dezember 2023).

    https://doi.org/10.1016/j.cscm.2023.e02671

  2. Qi, Haonan / Zhou, Zhipeng / Irizarry, Javier / Lin, Dong / Zhang, Haoyu / Li, Nan / Cui, Jianqiang (2024): Automatic Identification of Causal Factors from Fall-Related Accident Investigation Reports Using Machine Learning and Ensemble Learning Approaches. In: Journal of Management in Engineering (ASCE), v. 40, n. 1 (Januar 2024).

    https://doi.org/10.1061/jmenea.meeng-5485

  3. Qi, Haonan / Zhou, Zhipeng / Yuan, Jingfeng / Li, Nan / Zhou, Jianliang (2023): Accident pattern recognition in subway construction for the provision of customized safety measures. In: Tunnelling and Underground Space Technology, v. 137 (Juli 2023).

    https://doi.org/10.1016/j.tust.2023.105157

  4. Zhou, Zhipeng / Liu, Song / Qi, Haonan (2022): Mitigating subway construction collapse risk using Bayesian network modeling. In: Automation in Construction, v. 143 (November 2022).

    https://doi.org/10.1016/j.autcon.2022.104541

  5. Zhou, Zhipeng / Goh, Yang Miang / Shi, Qianqian / Qi, Haonan / Liu, Song (2022): Data-driven determination of collapse accident patterns for the mitigation of safety risks at metro construction sites. In: Tunnelling and Underground Space Technology, v. 127 (September 2022).

    https://doi.org/10.1016/j.tust.2022.104616

  6. Sun, Zhiqi / Qi, Haonan / Li, Shaohua / Tan, Yiqiu / Yue, Zurun / Lv, Huijie (2022): Estimating the effect of coarse aggregate meso-structure on the thermal contraction of asphalt mixture by a hierarchical prediction approach. In: Construction and Building Materials, v. 342 (August 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.128048

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