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http://dx.doi.org/10.7734/COSEIK.2013.26.5.335

CO2 Emissions Evaluation for Steel Reinforced Concrete Columns Based on the Optimal Structural Design  

Choi, Se Woon (Division of Architectural Engineering, Yonsei University)
Jeon, Ji Hye (Division of Architectural Engineering, Yonsei University)
Lee, Hwanyoung (Division of Architectural Engineering, Yonsei University)
Kim, Yousok (Division of Architectural Engineering, Yonsei University)
Park, Hyo Seon (Division of Architectural Engineering, Yonsei University)
Publication Information
Journal of the Computational Structural Engineering Institute of Korea / v.26, no.5, 2013 , pp. 335-342 More about this Journal
Abstract
Since the seriousness of environmental pollution came to the fore recently, various efforts have been made globally for the reduction of the environmental load. In particular, in the field of construction, an industry responsible for a considerable amount of pollution, studies have been actively conducted to reduce $CO_2$ emissions and energy consumption. However, most conventional research about pollution as it relates to construction is focused on the maintenance stages where $CO_2$ emissions are the greatest. Research related to the design stage is in its infancy, as it has only been conducted thus far on steel buildings and RC buildings. In fact, in order to achieve environmentally friendly construction considering the Life Cycle Assessment(LCA), the building design should be derived to reduce the $CO_2$ emissions from the early building design stage, and structural engineers should be able to suggest a design plan considering its environmental friendliness. In this study, optimal structural design method for steel reinforced concrete(SRC) columns considering $CO_2$ emissions is presented. The trends of $CO_2$ emissions in SRC columns according to the variations of steel shapes, concrete strengths and loads are investigated.
Keywords
SRC column; optimal structural design; $CO_2$ emissions; environmental load;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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