·Paper Publications
- [1] Chen, B., et al., Multiobjective optimization of building energy consumption based on BIM-DB and LSSVM-NSGA-II *. Journal of Cleaner Production, 2021. 294..
- [2] Pan, Y., et al., Multi-classifier information fusion in risk analysis. Information Fusion, 2020. 60: p. 121-136..
- [3] Liu, Y., et al., Energy consumption prediction and diagnosis of public buildings based on support vector machine learning: A case study in China. Journal of Cleaner Production, 2020. 272..
- [4] Liu, W.L., et al., Structural Health-Monitoring and Assessment in Tunnels: Hybrid Simulation Approach. Journal of Performance of Constructed Facilities, 2020. 34(4)..
- [5] Li, H.X., et al., Energy performance optimisation of building envelope retrofit through integrated orthogonal arrays with data envelopment analysis. Renewable Energy, 2020. 149: p. 1414-1423..
- [6] Duan, J.C., et al., RESEARCH ON BLASTING VIBRATION EFFECT AND MECHANICAL CHARACTERISTICS OF SMALL SPACING AND LARGE SPAN TUNNEL BASED ON SAFETY AND ENVIRONMENTAL PROTECTION PRINCIPLES. Fresenius Environmental Bulletin, 2020. 29(8): p. 6814-6823..
- [7] Chen, H.Y., L.M. Zhang, and X.G. Wu, Performance risk assessment in public-private partnership projects based on adaptive fuzzy cognitive map. Applied Soft Computing, 2020. 93..
- [8] Zhang, Y., L.M. Zhang, and X.G. Wu, Hybrid BN Approach to Analyzing Risk in Tunnel-Induced Bridge Damage. Journal of Performance of Constructed Facilities, 2019. 33(5)..
- [9] Zhang, L.M., et al., Optimal Strategy to Mitigate Tunnel-Induced Settlement in Soft Soils: Simulation Approach. Journal of Performance of Constructed Facilities, 2019. 33(5)..
- [10] Zhang, L.M., et al., Discovering worst fire scenarios in subway stations: A simulation approach. Automation in Construction, 2019. 99: p. 183-196..