About RAMSIS Lab

Critical infrastructure systems (CIs) are becoming increasingly vulnerable to system-wide failure primarily due to aging, natural and manmade hazards, climate change, and increased interdependencies, among other factors. Quantitative and qualitative assessment of the associated risk is crucial in pre-event planning and post-event response. Risk assessment and management of structural and infrastructure systems (RAMSIS) lab develops and applies probabilistic risk analysis frameworks to various CIs and their components to assess their reliability and resilience against perturbations. This can provide valuable knowledge about a number of principal effects such as traffic disruption, impact on the regional and global economy, and resilience of systems and communities. The focus of RAMSIS lab is on

  • Numerical modeling and fragility assessment of complex systems, such as seaports, bridges, and physical assets of power grids with consideration of soil-foundation-structure interactions and liquefaction effects
  • Probabilistic modeling of deterioration processes of reinforced and prestressed concrete structures coupled with FE simulations
  • Optimal maintenance policies for large aging infrastructure assets using stochastic methods¬†
  • Advanced protection of critical geo-structural systems against extreme hazards such as earthquakes and strong winds using passive, active, and semi-active control strategies based on stochastic methods
  • Reliability and resilience assessment of geo-structural systems and critical infrastructures against natural and manmade hazards

The above research objectives are accomplished by bridging stochastic methods and Finite Element models to realistically model the system of interest and capture various sources of uncertainties.

Open Ph.D. Position:

RAMSIS lab has an open Ph.D. position. The intended start date is August 2016 or January 2017. The focus of this Graduate Research Assistant position is on the wind performance assessment of infrastructures using stochastic numerical models and reliability techniques. The student should have a strong foundation in Finite Element modeling (OpenSees and ANSYS platforms are preferred) and structural dynamics. Background in wind response simulation of structures, reliability analysis, and stochastic processes is a plus.

The position of Graduate Research Assistant carries a 12-month stipend plus full tuition waiver for the duration of Ph.D. studies. Interested candidates are encouraged to send their detailed C.V. along with their BS and MS transcripts (official copies are not required at this point) to Dr. Abdollah Shafieezadeh (shafieezadeh.1@osu.edu). The successful candidate will be expected to submit an application for graduate study at The Ohio State University at  http://gpadmissions.osu.edu/apply/grad.html.