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Hyunjoong Kim

Assistant Professor of Civil Engineering

Education

  • 2009-2015      D. in Civil and Environmental Engineering, Seoul National University, Korea
  • 2007-2009      Sc. in Civil and Environmental Engineering, Seoul National University, Korea
  • 2003-2007      Diploma Civil, Urban, and Geo-system Engineering, Seoul National University, Korea

Experience Record

  • 2019-2022      Risk Specialist at Risk analysis section, COWI, Denmark
  • 2018 (Winter) Visiting Researcher at System Reliability Research Group (SSRG), Seoul National University, Korea
  • 2015-2018      Research Assistant (Post-Doc.) at Engineering Risk Analysis (ERA) Group, Technische Universität München, Germany
  • 2015 (Spring) Senior Researcher at Korea Bridge Design & Engineering Research Center, Seoul National University, Korea

 

Specialty Areas

  • Finite element model updating
  • Risk analysis and assessment
  • Bridge/structural engineering
  • Bayesian methods
  • Bayesian network
  • Decision analysis
  • Structural Health Monitoring methods
  • Data science

 

Publications

  • Straub, D., Schneider, R., Bismut, E. and Kim, H. J. (2020). Reliability analysis of deteriorating structural systems. Structural Safety, 82: 101877.
  • Kim, H. J., Hamann, R., Sotiralis, P., Ventikos, N.P., Straub, D. (2018). Bayesian network for risk-informed inspection planning in ships. Beton- und Stahlbetonbau, 113(S2): 116-121.
  • Koh, H.-M., Lim, J. H., Kim, H.J., Yi, J., Park, W., and Song, J. (2017). Reliability-based structural design framework against accidental loads-ship collision. Structure and Infrastructure Engineering, 13(1): 171-180.
  • Kim, H. J., & Koh, H. M. (2015). Probabilistic condition assessment of structures by multiple FE model identification considering measured data uncertainty. SMART STRUCTURES AND SYSTEMS, 15(3): 751-767.
  • Kim, H. J., Kim, H. K., & Park, J. Y. (2013). Reliability-based evaluation of load carrying capacity for a composite box girder bridge. KSCE Journal of Civil Engineering, 17(3): 575-583.
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