Journal of KIBIM (한국BIM학회 논문집)

Korean Institute of Building Information Modeling (한국BIM학회)
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Evaluation and Selection of Building Materials based on Life Cycle Cost Prediction

생애주기비용 예측 기반 건물재료 경제성 평가 및 선정

  • Received : 2015.06.01
  • Accepted : 2015.06.28
  • Published : 2015.06.30
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Abstract

As buildings become larger and more complicated, construction costs have increased with a considerable effect on buildings' Life Cycle Cost (LCC). However, there has been little consideration on economic aspects in the selection of construction materials due to limited information on the materials and dependency in architects' experience and inefficiency in cost estimation, causing design changes, increase in maintenance cost, difficulty in budgeting, and decrease in building performance. To solve these problems, this study proposed a BIM-based material selection model which reflects the comprehensive economic efficiency of building materials. Our cost prediction model can estimates the material-related cost during the entire building life cycle. Furthermore, we implemented the proposed model in connection with BIM, which can analyze and compare LCC by material. Through the validation of the model, we could confirm the necessity of LCC-based material selection in comparison with the conventional cost-centered material selection.

Keywords

Acknowledgement

Supported by : 국토교통부, 한국연구재단

References

  1. Alibaba H. Z, Ozdeniz M. B (2004), "A building elements selection system for architects", Building and environment, Vol. 39 No. 3, pp. 307-316. https://doi.org/10.1016/j.buildenv.2003.09.010
  2. Castro-Lacouture D, Sefair J. A, Florez L, Medaglia A. L (2009), "Optimization model for the selection of materials using a LEED-based green building rating system in Colombia", Building and Environment, Vol. 44, No. 6, pp. 1162-1170. https://doi.org/10.1016/j.buildenv.2008.08.009
  3. Choi, O-Y(2011), "Comparisons of Selection Methods in Roof Waterproofing", Masters Thesis, Kyonggi University.
  4. de Freitas V. P, Delgado J. M (2013), "Durability of building materials and components", Springer.
  5. Do, J-Y, Song, H, Soh, Y-S (2008), "AHP Based-Optimal Selection of Concrete Patching Repair Materials Considering Qualitative Evaluation Criteria", Journal of Korea Concrete Institute, Vol. 20, No. 1, pp. 965-968.
  6. Giudice F, La Rosa G, Risitano A (2005), "Materials selection in the life-cycle design process: a method to integrate mechanical and environmental performances in optimal choice", Materials & Design, Vol. 26, No. 1, pp. 9-20. https://doi.org/10.1016/j.matdes.2004.04.006
  7. Hong T, Han S, Lee S (2007), "Simulation-based determination of optimal life-cycle cost for FRP bridge deck panels", Automation in Construction, Vol. 16, No. 2, pp. 140-152. https://doi.org/10.1016/j.autcon.2006.01.001
  8. Jee, D-H, Kang, K-J (2000), "A method for optimal material selection aided with decision making theory", Materials & Design, Vol. 21, No. 3, pp. 199-206. https://doi.org/10.1016/S0261-3069(99)00066-7
  9. Morrissey J, Home R. E (2011), "Life cycle cost implications of energy efficiency measures in new residential buildings", Energy and Buildings, Vol. 43, No. 4, pp. 915-924. https://doi.org/10.1016/j.enbuild.2010.12.013
  10. Park, J-h, Yung, S-S (2010), "Optimal Life Cycle Cost Design of a Bridge", Journal of the Korean Society of Safety, Vol. 25, No. 6, pp. 115-122.
  11. Park, Y-M, Kim, S-Y (2009), "Economic Analysis of Box Mechanical Behavior Materials Using LCC Analysis", Journal of the Korea Institute of Construction Engineering and Management, Vol. 10, No. 6, pp. 40-47.
  12. Perera R. S, Fernando U. L. A. S. B (2002), "Cost modelling for roofing material selection", Built-Environment, Vol. 3, No. 1, pp. 11-24.
  13. Rahman S, Perera S, Odeyinka H, Bi Y(2009), "A knowledge-based decision support system for roofing materials selection and cost estimating: A conceptual framework and data modelling", 25th Annual ARCOM Conference, pp. 7-9.
  14. Song, H, Chung. W-Y (2005), "Development on the Selection of Green Construction Materials for Residental Safety", Journal of the Korean Society of Safety, Vol. 20, No. 4, pp. 63-70.
  15. Whyte A, Scott D (2010), "Life-cycle costing analysis to assist design decisions: beyond 3D building information modelling", 2010 International Conference on Computing in Civil and Building Engineering and XVII Workshop on Intelligent Computing in Engineering.
  16. Yang J, Ogunkah I. C. B (2013), "A multi-criteria decision support system for the selection of low-cost green building materials and components", Journal of Building Construcion and Planning Research, Vol. 1, No. 4, p.89. https://doi.org/10.4236/jbcpr.2013.14013
  17. Zavadskas E. K, Kaklauskas A, Turskis Z, Tamosaitiene J (2008), "Selection of the effective dwelling house walls by applying attributes values determined at intervals", Journal of Civil Engineering and Management, Vol. 14, No. 2, pp. 85-93. https://doi.org/10.3846/1392-3730.2008.14.3

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