Soo-Chang Kang
POSCO
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Featured researches published by Soo-Chang Kang.
Metals and Materials International | 2007
Won-Chul Doo; Dong-Yong Kim; Soo-Chang Kang; Kyung-Woo Yi
Internal morphologies of bulk shape oxides in a melt of Ti bearing low-carbon steel were analyzed. The outer shapes of nearly spherical inclusions containing Ti were quite different from the shape of alumina inclusions that typically have a cluster form. A cross-section investigation using a polishing method and the FIB method revealed that the TiOx−Al2O3 complex oxide covers alumina clusters and that the interfaces of the alumina and complex oxide are modified as time passes.
Structure and Infrastructure Engineering | 2011
Soo-Chang Kang; Hyun-Moo Koh; Jinkyo F. Choo
The necessity of assessing uncertainties to guarantee safety in structural design arises the potential of reliability-based design optimisation (RBDO), which is a methodology based on reliability analysis and design optimisation through probabilistic models. RBDO differs from conventional design optimisation by the presence of probabilistic constraints, which are evaluated using reliability index approach (RIA) or performance measure approach (PMA). It is generally known that PMA is more stable and efficient than RIA. Despite the advantages brought by PMA, RBDO still requires excessive computational cost for large scale structures involving complex finite element analysis. Accordingly, this paper presents a new scheme for RBDO achieving improved stability and efficiency by combining response surface method with PMA. The moving least squares (MLS) method is used to approximate the limit state function. Applications to a mathematical example, the 10-bar truss problem and the vehicle side impact problem verify that the proposed method shows better convergence and efficiency than other approaches.
Journal of The Earthquake Engineering Society of Korea | 2005
Soo-Chang Kang; Jeong-Kwan Seo; Hyun-Moo Koh; Kwan-Soon Park
This study proposes a fatigue reliability evaluation procedure for steel-composite high-speed railway bridge based on dynamic analysis and investigates the effectiveness of Tuned Mass Damper(TMD) in terms of the extension of fatigue life of the bridge. For the fatigue reliability evaluation, the limit state is determined using S-N curve and linear fatigue-damage accumulation. Dynamic analyses are peformed repeatedly to consider the uncertainties of train-velocity and damping ratio of the bridge. The distribution of random variables related to fatigue damage for the intended service life is then statistically estimated from analytical results. Finally, the fatigue reliability indices are obtained by means of the Advanced First-Order Second-Moment (AFOSM) method. Through numerical simulation of a steel-composite bridge of 40m span, the effectiveness of TMD on fatigue life of the bridge is examined and the results are presented.
17th Congress of IABSE. Creating and Renewing Urban StructuresInternational Association for Bridge and Structural Engineering | 2008
Sung-Jae Kim; Soo-Chang Kang; Wonsuk Park; Hyun-Moo Koh; Ho-Kyung Kim
This paper will discuss how many efforts strive to use Tuned Mass Damper (TMD) for the mitigation of bridge dynamic responses. Previous research investigated the control effectiveness of TMD on high-speed railway bridges. Previous research also applied TMD to reduce vibrations of cable stayed bridges crossed by high-speed trains. Recently, a quantitative evaluation method was also developed to investigate the effects of TMD on the fatigue reliability of a bridge by combining dynamic analysis of the bridge subjected to the high-speed trains with the S-N curve based approach. The S-N curve-based approach is a useful method to visualize time to failure in terms of stress ranges versus cycles to failure. Its application for fatigue reliability analysis requires the number of cycles at stress-range levels endured throughout the intended service life of the bridge. Therefore, time domain dynamic analysis is performed for the bridge crossed by high-speed trains running at various velocities in order to obtain stress time histories at critical structural components. In the dynamic analysis, the bridge structure is modeled as an assembly of grillage members of which flexural and torsional stiffnesses approximate the behavior of the slab, girders and cross-beams. The high-speed train used in this study is the Korea Train eXpress (KTX), which is actually operating in Korea. Simple moving forces without consideration of the train-bridge interaction are employed to model the high-speed train for simplicity. This choice has been conducted because of the tremendous amount of repetition of the dynamic analysis required for fatigue reliability analysis required and the extreme time-consumption brought by the train-bridge interaction consideration. The numerical solution of the dynamic equilibrium equation of the bridge subjected to the high-speed trains is obtained using Newmarks method.
Probabilistic Engineering Mechanics | 2010
Soo-Chang Kang; Hyun-Moo Koh; Jinkyo F. Choo
Journal of Materials Processing Technology | 2008
Soo-Chang Kang; Y.S. Lee; J.H. Lee
Journal of Materials Processing Technology | 2008
Y.S. Lee; Yongnam Kwon; Soo-Chang Kang; Sung-Gon Kim; J.H. Lee
Isij International | 2007
Won-Chul Doo; Dong-Yong Kim; Soo-Chang Kang; Kyung-Woo Yi
IABSE Symposium Report | 2003
Jinkyo F. Choo; Hyun-Moo Koh; Soo-Chang Kang; Byung-Suk Kim
Journal of Materials Processing Technology | 2017
Joonmin Lee; Dongwook Kim; Luca Quagliato; Soo-Chang Kang; Naksoo Kim