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Sungmoon Jung

Sungmoon Jung

Assistant Professor, Civil & Environmental Engineering, Florida State University

Phone: (850) 410-6386

Florida AMU-FSU College of Engineering
Tallahassee, FL 32310-6046



Ph.D. Civil & Environmental Engineering, University of Illinois at Urbana-Champaign

Research Interests:

We envision that materials and structures of the next generation will be more "intelligent" than what we are used to. They will be capable of sensing the environment and their status. They will report to us what to do, or even self-adjust or self-heal. Our group aims to conduct cutting-edge research for the next-generation materials and structures. Another key research area of the group is wind engineering and wind energy. Extreme loading caused by hurricanes requires stronger structures. Wind loading also causes vibration problems that need to be solved. The group also has new initiatives in wind energy research. Examples of our research include, but not limited to:
  • Wind-resistant structures
  • Wind energy and sustainability
  • Structural health monitoring
  • Computational intelligence for structural mechanics

Publications List:

  • S. Jung and J. Ghaboussi (2010), Inverse identification of creep of concrete from in situ load-displacement monitoring, Engineering Structures, v 32, n 5, p 1437-1445 [DOI] [PDF]
  • J. Song, W.-H. Kang, K.-S. Kim and S. Jung (2010), Probabilistic shear strength models for reinforced concrete beams without shear reinforcement, Structural Engineering & Mechanics, v 34, n 1, p 15-38
  • S. Jung, S.-Y. Ok and J. Song (2010), Robust structural damage identification based on multi-objective optimization, International Journal for Numerical Methods in Engineering, v 81, n 6, p 786-804 [DOI] [PDF]
  • Y.M.A. Hashash, H. Song, S. Jung and J. Ghaboussi (2009), Extracting inelastic metal behavior through inverse analysis: A shift in focus from material models to material behavior, Inverse Problems in Science and Engineering, v 17, n 1, p 35-50 [DOI]
  • S. Jung and K.S. Kim (2008), Knowledge-based prediction of shear strength of concrete beams without shear reinforcement, Engineering Structures, v 30, n 6, p 1515-1525 [DOI] [PDF]