Multi-objective societal optimization of structural fire safety investments for unique building projects using advanced regression techniques

01 January 2019 → 31 December 2022
Regional and community funding: Special Research Fund
Research disciplines
  • Social sciences
    • Organisational management
  • Engineering and technology
    • Building construction management and project planning
    • Non-destructive testing, safety and diagnosis
    • Earthquake engineering
    • Water resources management
Structural fire safety societal cost optimization unique structures advanced regression techniques
Project description

An applied risk-based methodology is developed for defining the societally optimum level of investment in structural fire safety for unique building projects. Special emphasis is placed on the definition of tolerability limits and the simultaneous consideration of multiple fire safety objectives.
Advanced regression techniques are applied to couple structural fire performance calculations with fire spread and cost evaluations.