System Dynamics Laboratory


The System Dynamics Laboratory was founded in 2000. It supports teaching and conducts research in the areas of:

  • modeling and simulation
  • identification, health diagnosis, maintenance and control
  • stochastic simulation and reliability
  • design and optimization

of dynamical systems.

Research areas include:

  • Probabilistic Structural Dynamics
    • Structural Reliability
    • Fatigue Reliability of Vibrating Structures under Random Loading
    • Stochastic Simulation in Mechanics/Dynamics
  • Uncertainty Quantification, Structural Identification, Inverse Problems, Bayesian Inference
    • Structural Identification, Mutli-Objective Identification
    • Modal Identification using Ambient and Earthquake-Induced Vibrations 
    • Finite Element Structural Model Validation and Updating using Vibration Measurements 
    • Optimal Sensor Location using Information Theory Methods
    • Structural Health Monitoring, Fault/Damage Detection and Identification
  • Design Optimization Under Uncertainty
    • Reliability-Based Design Optimization
    • Size and Topology Design Optimization
    • Robust Design Optimization
  • Structural Control
    • Active and Passive Structural Control
    • Reliability-Based Structural Control 
  • Multi-Objective Optimization, Genetic Algorithms and Evolution Strategies for Design Optimization and Inverse Problems
  • Current Applications in Engineering Systems
    • Civil and Earthquake Engineering - Buildings and Bridges 
    • Mechanical Engineering - Vehicles