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Zeyu Pan ORCID

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. Pan, Zeyu / Shi, Jianyong / Jiang, Liu (2024): A Semantic Augmented Approach to FEMA P-58 based Dynamic Regional Seismic Loss Estimation Application. In: Journal of Building Engineering, v. 98 (December 2024).

    https://doi.org/10.1016/j.jobe.2024.111224

  2. Pang, Bo / Shi, Jianyong / Jiang, Liu / Pan, Zeyu (2024): A Semantic Approach to Dynamic Path Planning for Fire Evacuation through BIM and IoT Data Integration. In: Advances in Civil Engineering, v. 2024 (January 2024).

    https://doi.org/10.1155/2024/8839865

  3. Shi, Jianyong / Pan, Zeyu / Jiang, Liu / Chen, Peizhi / An, Chao / Mulatibieke, Nazhaer (2023): Research on a methodology for intelligent seismic performance evaluation and optimization design of buildings based on IFC and ontology. In: Engineering Structures, v. 288 (August 2023).

    https://doi.org/10.1016/j.engstruct.2023.116213

  4. Jiang, Liu / Shi, Jianyong / Wang, Chaoyu / Pan, Zeyu (2023): Intelligent control of building fire protection system using digital twins and semantic web technologies. In: Automation in Construction, v. 147 (March 2023).

    https://doi.org/10.1016/j.autcon.2022.104728

  5. Jiang, Liu / Shi, Jianyong / Pan, Zeyu / Wang, Chaoyu / Mulatibieke, Nazhaer (2022): A Multiscale Modelling Approach to Support Knowledge Representation of Building Codes. In: Buildings, v. 12, n. 10 (20 September 2022).

    https://doi.org/10.3390/buildings12101638

  6. Pan, Zeyu / Shi, Jianyong / Jiang, Liu (2020): A Novel HDF-Based Data Compression and Integration Approach to Support BIM-GIS Practical Applications. In: Advances in Civil Engineering, v. 2020 (January 2020).

    https://doi.org/10.1155/2020/8865107

  7. Shi, Jianyong / Dao, Jicao / Jiang, Liu / Pan, Zeyu (2019): Research on IFC- and FDS-Based Information Sharing for Building Fire Safety Analysis. In: Advances in Civil Engineering, v. 2019 ( 2019).

    https://doi.org/10.1155/2019/3604369

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