Song, Junho > Faculty | 서울대학교 스마트도시공학전공

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Selected as the university to carry out the Innovative Human Resources Development project for Smart City in 2019 (from 2019 to 2023) by Ministry of Land, Infrastructure and Transport and Korea Agency for Infrastructure Technology Advancement (KAIA), Seoul National University plans to carry forward the training of core professionals necessary for industrial revitalization and expansion to the overseas market with the specialized education program reflecting the need of the smart city industry. In order to train the core professionals, we have newly set up the Smart City Engineering Program in the Department of Civil and Environmental Engineering and enhanced the linkage with the undergraduate courses by utilizing diversity of the participating professors of seven Departments (Dept. of the Civil and Environmental Engineering, Dept. of the Computer Science and Engineering, Dept. of the Architecture and Architectural Engineering, etc.). *The number of participating professors will be increased in the future.

Song, Junho Professor

Structural/System Reliability Group

+82-2- 880-7354 35-406,407

There exist various types of uncertainties in civil and environmental engineering systems and their surroundings. It is therefore critical to develop statistical models of these uncertainties and perform probabilistic analysis of the systems so that the society can make the best decisions with regard to planning, design, construction, repair and maintenance of its infrastructure systems. To this end, the structural/system reliability group (SSRG) at Seoul National University is performing active research in the following areas: (1) state-of-the-art theories and methods for accurate and efficient reliability analysis of complex civil and environmental engineering systems; (2) new methods for optimal design of structures based on the integration between structural/system reliability analysis and advanced computer simulations such as finite element analysis; (3) reliability analysis methods for complex lifeline networks subject to natural and man-made hazards and applications to real-time analysis; and (4) random vibration analysis of structures subject to seismic hazards and applications to seismic design considering uncertainties in stochastic excitations.

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