Research | DII LAB

Contents

Graph and Machine Learning based Design Coordination Automation

Hu, Y.*, Xia C, Chen J, Gao X. (2023). Clash Context Representation and Change Component Prediction based on Graph Convolutional Network in MEP Disciplines. Advanced Engineering Informatics.
Hu, Y.*, Castro, D., Eastman, C., & Navathe, S (2021). Component Change List Prediction for BIM-based Clash Resolution from a Graph Perspective. Journal of Construction Engineering and Management 147(8), 04021085. DOI: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002092
Hu, Y.*, Castro-Lacouture, D., Eastman, C. M., and Navathe, S. B. (2020). Clash Correction Sequence Optimization Using a Clash Dependency Network in BIM Projects. Automation in Construction. https://doi.org/10.1016/j.autcon.2020.103205
Hu, Y.*, Castro-Lacouture, D., and Eastman, C. M. (2019). Holistic clash detection improvement using a component-dependent network in BIM projects. Automation in Construction, Elsevier, 105, 102832. https://doi.org/10.1016/j.autcon.2019.102832
Hu, Y.*, and Castro-Lacouture, D. (2018). Clash Relevance Prediction Based on Machine Learning. Journal of Computing in Civil Engineering, ASCE, 33(2), 04018060. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000810

https://www.hpcwire.com/off-the-wire/penn-state-institute-for-computational-and-data-sciences-awards-14-seed-grants/

Beauchat, T., Hu, Y*., Leicht, R. M., & Suanico, C. (2023). Analyzing Schedule Dependency and Sequencing Changes for Robotic Construction Using Graph Analysis. Journal of Computing in Civil Engineering, 37(1), 04022043.
Tong,Y, Hu, Y., (2023) BIM and Blockchain-based Automatic Asset Tracking in Digital Twin for Modular Construction. i3ce Conference (accepted)

https://news.engr.psu.edu/2022/hu-yuqing-nsf-grant-construction-gender-equity.aspx

Xia C, Hu, Y.*, Chen J. (2023). Community Time-Activity Trajectory Modelling based on Markov Chain Simulation and Dirichlet Regression. Computers, Environment and Urban Systems.
Xia, C. and Hu, Y.*, 2022. An activity-based spatial-temporal community electricity vulnerability assessment framework. 5^th International Conference on Building Energy and Environment.
Chen, X. Hu, Y.*, A review of a socio-technical system approach for Interdependent infrastructure systems resilience analysis: present status and future trends. Proceedings of the ASCE 2022 Construction Research Congress, Washington, D.C.

https://www.nsf.gov/awardsearch/showAward?AWD_ID=2215421&HistoricalAwards=false

Urban Scale Building Energy Use Prediction

Building Material Recycle and Reuse

Zhang, L., Leach, M., Chen, J., & Hu, Y. (2023). Sensor cost-effectiveness analysis for data-driven fault detection and diagnostics in commercial buildings. Energy, 263, 125577.
Zeng, Z., Lu, D., Hu, Y., Augenbroe, G., & Chen, J. (2023). A comprehensive optimization framework for the design of high-performance building systems. Journal of Building Engineering, 65, 105709.
Hu, Y.*, Cheng, X., Wang, S., Chen, J., Zhao, T., & Dai, E. (2022). Times Series Forecasting for Urban Building Energy Consumption Based on Graph Convolutional Network. Applied Energy, 118231. https://doi.org/10.1016/j.apenergy.2021.118231
Chen, J., Zhang, L., Li, Y., Shi, Y., Gao, X., Hu, Y. (2022) A Review of Computing-Based Automated Fault Detection and Diagnosis of Heating, Ventilation and Air Conditioning Systems. Sustain. Energy Rev. 161, 112395.
Jun, Wang., Chen, Jianli, and Hu, Y. (2022) A Science Mapping Approach based Review of Model Prediction Control for Smart Building Operation. Journal of Civil Engineering and Management.
Chen, J., Gao, X., Hu, Y.*, Zeng, Z., and Liu, Y. (2019). A meta-model-based optimization approach for fast and reliable calibration of building energy models. Energy, Elsevier Ltd, 116046. https://doi.org/10.1016/j.energy.2019.116046