Journal of the Architectural Institute of Korea Structure & Construction (대한건축학회논문집:구조계)

Architectural Institute of Korea (대한건축학회)
권호 표지
DOI QR코드

DOI QR Code

Optimal Tractor-Blade Configuration Planning System for Eco-Economic Dozing

에코 도징을 위한 트랙터-블레이드 최적조합 시스템 설계

  • 박영준 (경북대학교 건설환경에너지공학부 대학원) ;
  • 김병수 (경북대학교 토목공학과) ;
  • 이동은 (경북대학교 건축공학과)
  • Received : 2015.10.27
  • Accepted : 2016.01.08
  • Published : 2016.01.30
⟨ Previous Next ⟩

Abstract

Identifying the optimal configuration of tractor (i.e., engine type and size) and blade must be preceded for eco-economic dozing operation. Existing experience based configuration practice is lack of scientific rational. It demands to deal with many variables (e.g., job site's geological and topological attributes, temperature and atmospheric pressure, coefficient of traction, tractor and blade motion data, soil and rock properties, blade's engineering dimension, job and management conditions etc.) simultaneously and timely. A database structure for processing the optimal eco-economic dozer configuration is designed and implemented to replace existing experience based practices. On top of the database, a new method that identifies an optimal set of tractor engine(i.e., type and size) and blade is implemented for a standalone dozer operation. The method is coded into MATLAB to facilitate using the method in practice. A case study demonstrates and verifies the system.

Keywords

Acknowledgement

Supported by : 국토교통과학기술진흥원

References

  1. Caterpillar, Inc. (2010). Caterpillar performance handbook, 40th Ed, Caterpillar, Peoria.
  2. Church, H. K. (1981). Excavation handbook. New York, McGraw-Hill.
  3. Day, D. A., & Benjamin, N. B. (1991). Construction equipment guide. John Wiley & Sons.
  4. Harvers, A. J., & Stubbs, W. F., (1971). Handbook of Construction Equipment Maintenance and Repair, McGraw Hill.
  5. Kim, D., Kim, J., Lee, K., Park, C., Song, J., & Kang, D. (2009). Excavator tele-operation system using a human arm. Automation in construction, 18(2), 173-182. https://doi.org/10.1016/j.autcon.2008.07.002
  6. Nunnally, S. W. (2004). Construction methods and management. Pearson Prentice Hall, New Jersey.
  7. Ok, S. C., & Sinha, S. K. (2006). Construction equipment productivity estimation using artificial neural network model, Construction Management and Economics, 24(10), 1029-1044. https://doi.org/10.1080/01446190600851033
  8. Peurifoy, R. L., Schexnayder, C. J., & Shapira, A. (2009). Construction Planning, Equipment, and Methods 7th Ed. Mcgraw-Hill.
  9. Qinsen, Y., & Shuren, S. (1994). A soil-tool interaction model for bulldozer blades. Journal of terramechanics, 31(2), 55-65. https://doi.org/10.1016/0022-4898(94)90007-8