Prof. Junho Song’s invited talk on resilience at Risk Center of ETH Zürich

On October 3, 2017, Prof. Junho Song gave an invited talk, “Multiple Criteria and Scales of Resilience Analysis” at ETH Zürich Risk Center, Switzerland. (More information of the center’s resilience seminar series is available here.) Based on his research experience on system reliability analysis (recently summarized in a book chapter), Dr. Song identified three criteria… Read More Prof. Junho Song’s invited talk on resilience at Risk Center of ETH Zürich

Prof. Junho Song on sabbatical leave at Carnegie Mellon University (USA) as visiting scholar

On September 5, 2017, Prof. Junho Song started his 11-month-long sabbatical leave as a Visiting Scholar at Scott Institute of Carnegie Mellon University (CMU), USA. Official Announcement by Scott Institute: http://www.cmu.edu/energy/news-multimedia/2017/junho-song.html The faculty host is Prof. Matteo Pozzi, Associate Professor at the Department of Civil and Environmental Engineering at CMU. Prof. Song has started active research… Read More Prof. Junho Song on sabbatical leave at Carnegie Mellon University (USA) as visiting scholar

System Identification of Spatial Distribution of Structural Parameters Using Modified Transitional Markov Chain Monte Carlo Method (m-TMCMC)

A journal paper title, “System Identification of Spatial Distribution of Structural Parameters Using Modified Transitional Markov Chain Monte Carlo Method” was recently published in Journal of Engineering Mechanics (ASCE). The paper was co-authored by Ph.D student Se-Hyeok Lee) and Prof. Junho Song (SSRG@SNU). The DOI number of the paper is: 10.1061/(ASCE)EM.1943-7889.0001316. The full reference information… Read More System Identification of Spatial Distribution of Structural Parameters Using Modified Transitional Markov Chain Monte Carlo Method (m-TMCMC)

SSRG members participate in ICOSSAR 2017 (August 6-10, TU Wien, Austria)

SSRG members will participate in the 12th International Conference on Structural Safety & Reliability (ICOSSAR2017) which will be held from August 6 to 10, 2017 at TU Wien, Austria. In this one of the major conferences on structural safety and reliability in which more than 360 papers are presented, SSRG members will present the following papers… Read More SSRG members participate in ICOSSAR 2017 (August 6-10, TU Wien, Austria)

Reliability growth analysis of k-out-of-N systems using matrix-based system reliability method

A journal paper titled, “Reliability growth analysis of k-out-of-N systems using matrix-based system reliability method.” was recently published in Reliability Engineering & System Safety.  The paper was co-authored by an M.S./Ph.D student Ji-Eun Byun (SSRG@SNU), Dr. Hee-Min Noh (Korea railroad Research Institute), and Prof. Junho Song  (SSRG@SNU). The DOI number of the paper is: https://doi.org/10.1016/j.ress.2017.05.001. The full reference information… Read More Reliability growth analysis of k-out-of-N systems using matrix-based system reliability method

Energy-based seismic collapse criterion for ductile structural frames

A journal paper titled, “Energy-based seismic collapse criterion for ductile structural frames” was recently published in Engineering Structures. Dr. Derya Deniz. (Postdoc, Dept. of Civil and Environmental Engineering, Colorado State University, Fort Collins, USA), Prof. Junho Song  (SSRG@SNU) and Prof. Jerome F. Hajjar (Professor, Dept. of Civil and Environmental Engineering, Northeastern University, Boston, USA) co-authored the paper based on… Read More Energy-based seismic collapse criterion for ductile structural frames

Accelerated Monte Carlo system reliability analysis through machine-learning-based surrogate models of network connectivity

A journal paper titled, “Accelerated Monte Carlo system reliability analysis through machine-learning-based surrogate models of network connectivity” was recently published in Reliability Engineering & System Safety. Mr. Raphael Stern (PhD Student, Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, USA), Prof. Junho Song  (SSRG@SNU)  and Prof. Daniel Work (Assistant Professor, Department of Civil and Environmental Engineering,… Read More Accelerated Monte Carlo system reliability analysis through machine-learning-based surrogate models of network connectivity