Program Topics & Themes
LIFECYCLE CARBON EMISSION METRICS
•Methods of measuring carbon emissions for civil engineering
•Carbon emission in whole life of infrastructure
•Carbon emission in each stage of lifecycle
•Carbon neutrality for civil engineering works
•Carbon sequestration techniques
•Carbon capture, utilisation and storage (CCUS)
•Embodied and operational carbons
•Life cycle inventory databases of carbon emissions
•Carbon emission benchmarks
LIFECYCLE DESIGN FOR STRUCTURES AND INFRASTRUCTURE
•Lifecycle based methods for planning and decision making
•Design for safety
•Design for longevity
•Design for resilience
•Design for disassembly
•Circular economy in LCA
•Service life extension techniques
•Low carbon materials
•Prefabrication techniques
LIFECYCLE ASSESSMENT OF CIVIL INFRASTRUCTURE
•Methods for structural reliability
•Time-dependent reliability methods
•Uncertainty analysis and modelling
•Assessment of real world structures
•Material and structural deterioration
•Assessment of severe natural disasters
•Assessment of various failure modes
•Effects of climate change
•Risk acceptance criteria
LIFECYCLE MANAGEMENT OF CIVIL INFRASTRUCTURE
•Field testing and proof loading
•Structural health monitoring
•Inspection and evaluation
•Maintenance strategies
•Rehabilitation techniques
•Strengthening and repairs
•Human factors in lifecycle civil engineering
•Whole life care of infrastructure
•Risk management of civil engineering works
LIFECYCLE OPTIMISATION OF CIVIL INFRASTRUCTURE
•Mathematical optimisation
•Structural optimisation
•Optimisation techniques for decision making
•Optimisation of construction processes
•Optimisation of end-of-life options
•Lifecycle costing models
•Risk, carbon emission and cost optimisation
•Evolutionary procedures
•Multi-objective optimisation
LIFECYCLE DIGITAL TOOLS FOR CIVIL ENGINEERING
•Digital twins for performance monitoring
•BIM, AR/VR for design and construction
•Artificial intelligence methods
•Soft-computing methods
•Machine learning and its applications in LCA
•Sensor technology
•Internet of things techniques
•Big data and cloud computing techniques
•Robotic and aviation-based techniques