Integrated analysis model for assessing CO2 emissions, seismic performance, and costs of buildings through performance-based optimal seismic design with sustainability 연구자 : Hyo Seon Park , Jin Woo Hwang , Byung Kwan Oh 학회지명 : Energy and Buildings

Modal Identification for high-rise building structures using orthogonality of filtered response vectors 연구자 : Doyoung Kim , Byung Kwan Oh , Hyo Seon Park , Hak Bo Shim , Ji Young Kim 학회지명 : Computer-Aided Civil and Infrastructure Engineering

Terrestrial laser scanning-based stress estimation model using multi-dimensional double layer lattices 연구자 : Sang Wook Park , Byung Kwan Oh , Hyo Seon Park 학회지명 : Integrated Computer-Aided Engineering

Experimental tests on construction methods for a joint between concrete wall and steel girder involving long-time onsite welding 연구자 : Hak Bo Shim , Hyo Seon Park 학회지명 : Construction and building materials

A novel methodology for modal parameters identification of large smart structures using MUSIC, empirical wavelet transform, and Hilbert transform 연구자 : Juan P. Amezquita-Sanchez , Hyo Seon Park , Hojjat Adeli 학회지명 : Engineering Structures

Evolutionary learning based sustainable strain sensing model for structural health monitoring of high-rise buildings 연구자 : Byung Kwan Oh , Kyu Jin Kim , Yousok Kim , Hyo Seon Park , Hojjat Adeli 학회지명 : Applied Soft Computing

Vision-based Stress Estimation Model for Steel Frame Structures with Rigid Links 연구자 : H.S.Park , J.S. Park , B.K. Oh 학회지명 : Measurement Science and Technology

Dynamic torsional response measurement model using motion capture system 연구자 : H.S. Park , S.A. Lim , D. Kim , B.K. Oh 학회지명 : Smart Structures and Systems

Multi-objective design model for retrofit of reinforced concrete frames with infilled walls using FRP bracings 연구자 : Se Woon Choi , Sang Wook Park , Hyo Seon Park 학회지명 : Construction and building materials

A model updating method with strain measurement from impact test for the safety of steel frame structures 연구자 : H. S. Park , Y. Kim , B. K. Oh 학회지명 : Measurement