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Construction Engineering & Management (CEM)

CEM research is committed to enhancing productivity and sustainability of construction activities in developing infrastructure and building structures through (1) improving current construction practices and (2) promoting new construction technologies. To address practical construction problems, CEM research endeavors lead to development and application of modeling and analysis approaches with scientific rigor. CEM provides an ideal platform for promoting university-industry collaboration and for spawning interdisciplinary innovations by integrating a variety of research disciplines in civil engineering, surveying and computing.

The established research strengths include:

  • Construction process mapping, simulation, and visualization:
    • In-house development of Simplified Discrete-Event Simulation Approach (SDESA) and SDESA computer simulation platform
    • Operations simulation and visualization for construction of the main stadium for Beijing 2008 Olympic Games
    • Simulation approach to evaluating cost efficiency of selective demolition practices: case of Hong Kong's Kai Tak airport demolition
    • Materials Handling System Simulation in Precast Viaduct Construction on the Hong Kong's Western Corridor Construction
    • Practical simulation approach to planning Hong Kong's concrete plant operations
  • Construction project scheduling
    • In-house development of resource-constrained project scheduling and optimization method and computer software (S3)
    • Critical path analysis and project delay analysis under practical constraints such as resource availability and calendars
    • Project scheduling methods with uncertain activity times under resource constraints
  • Innovations in trenchless technology (microtunneling)
    • Automated system for tunnel boring machine (TBM) positioning and tracking, tunnel alignment control
    • Real-time visualization of TBM, as-designed vs. as-built tunnel sections, underground workspace
    • Operations simulation and Artificial Neural Networks to model TBM advance rates in varying ground conditions and support construction planning
  • Photo-based 3D modeling of construction objects, augmented reality and photogrammetry applications
  • Concrete delivery logistics and concrete construction planning integrated with concrete material research
  • Constructability analysis on bridges and complicated buildings by integrating construction process simulation and structural engineering analysis 
  • Foundation engineering and productivity analysis enabled by photo-based augmented reality