Faculty Research Profile

지구환경도시건설공학과

김병민

부교수Byungmin Kim

김병민

Byungmin Kim

Biography

학력

2012: Ph.D. Civil Engineering, University of Illinois at Urbana-Champaign
2009: M.S. Civil Engineering, University of Illinois at Urbana-Champaign
2007: B.S. Civil Engineering, Hanyang University

주요 경력

2017~Present: Assistant/Associate Prof., UNIST
2016~2017: Texas Tech University,
Department of Civil and Environmental
Engineering, Assistant Professor
2014~2016: Risk Management Solution, Inc., Senior Modeler
2014, 2016: Missouri University of Science and Technology, Adjunct Professor
2013: University of Illinois at Urbana-Champaign, Post-doctoral Researcher

Research

지반지진공학연구실

Geotechnical Earthquake Engineering Research Group

지진은 강한 지반 운동을 발생시키며, 이는 기존 인프라의 파괴와 인명 피해로 이어질 수 있기 때문에 지속가능성에 중대한 위협이 됩니다. 한국에서도 2016년 규모 5.8의 경주 지진과 2017년 규모 5.5의 포항 지진이 발생하여 인명 피해는 물론 구조물과 기반시설의 손상, 경제적 손실이 뒤따랐습니다. 이로 인해 한국에서도 지진 관련 재해에 대한 관심이 점점 커지고 있습니다. 저는 지금까지 지진재해위험도 분석, 부지응답 해석, 사면 안정성 분석, 액상화 분석 등을 통해 지진 및 2차 피해를 예측하는 연구에 집중해 왔습니다. 이러한 연구는 새로운 내진 구조물의 설계와 기존 구조물의 내진 보강을 위한 기초 자료로 활용될 수 있습니다. 앞으로도 이 분야의 학술적 수준을 더욱 발전시키는 동시에, 학제 간 협력을 통해 추가적인 연구를 지속해 나가고자 합니다.
Earthquakes generate strong ground motions that ultimately lead to the destruction of existing infrastructure and loss of life, and are a major threat to sustainability. Our research group focuses on predicting the hazards from earthquakes and secondary effects by seismic hazard analysis, site response analysis, slope stability analysis, liquefaction analysis, and soil-structure interaction analysis. These efforts can facilitate designing new earthquake-resistant structures and seismically mitigating existing structures.

Earthquakes generate strong ground motions that ultimately lead to the destruction of existing infrastructure and loss of life, and are a major threat to sustainability. Our research group focuses on predicting the hazards from earthquakes and secondary effects by seismic hazard analysis, site response analysis, slope stability analysis, liquefaction analysis, and soil-structure interaction analysis. These efforts can facilitate designing new earthquake-resistant structures and seismically mitigating existing structures.

지반지진공학연구실

연구분야

지진; 지진파 증폭; 지진파 예측; 산사태; 액상화 / Earthquake; ground motion amplification; ground motion prediction; landslide; liquefaction

Earthquake; ground motion amplification; ground motion prediction; landslide; liquefaction

연구 희망분야

인공지능을 활용한 지진파 예측 / Earthquake ground motion prediction using AI

Earthquake ground motion prediction using AI

국가연구개발사업 기술 분류체계

국가과학기술표준분류

EI. 건설/교통

Outputs

논문

Youngkyu Cho, Jin Tae Han, Yun Wook Choo, Jinsun Lee, Jongkwan Kim, Kiseog Kim, Ka-hyun Park, Jae-Hyun Kim, Heon-Joon Park, Dongyoup Kwak, Duhee Park, Jae-Soon Choi, Sung-Ryul Kim, and Byungmin Kim* (2024), Assessments of liquefaction triggering using in situ and laboratory tests in Pohang, South Korea, Journal of Geotechnical and Geoenvironmental Engineering, v150(12)

Jisong Kim and Byungmin Kim* (2024), Generative adversarial network to produce numerous artificial accelerograms with pseudo-spectral acceleration as conditional input, Computers and Geotechnics, v174

Hwanwoo Seo, Seokho Jeong, Kwang-Hee Kim, and Byungmin Kim* (2024), Ground response and liquefaction evaluations for the 2017 Pohang, Korea, earthquake based on shear wave velocity profiles estimated by microtremor array measurements, Soil Dynamics and Earthquake Engineering, v182

Hyejin Lee, Jae-Kwang Ahn, Byungmin Kim, and Kwan-Hee Yun (2024), An approach for predicting surface strong motion using borehole seismometers