Optimizing Construction Sequences for Secant Pile Walls

Rong-Yau Huang, Ping-Fu Chen, Jieh-Haur Chen

Abstract

Secant pile walls are crucial in the construction of fossil-fuel power plants for water exclusion purposes. The construction time is the most critical factor that influences the entire construction project. Thus, shortening the time needed for building secant pile walls requires further investigation. Secant pile walls are not required to be constructed in any particular order; typically, site engineers assign construction crews to first build several primary bored piles, and then build secondary bored piles. However, building secant pile walls in this sequence generally requires the primary bored piles to be excessively cured and hardened. The construction of secondary bored piles in this manner thus results in construction difficulties, wasted construction time, and poor construction quality. To address this practical problem, this study adopted a genetic algorithm to investigate the optimal number of primary bored piles, the curing time, and the number of daily working hours for the construction crew. In addition, the relationship between the curing time for the primary bored piles and the construction time for the secondary bored piles was investigated by using a case study, to ensure the overall research results corresponded to practical operation. The findings of this study can facilitate the saving of construction time in the future construction of secant pile walls, enabling the whole construction project to be completed successfully and improving public welfare.

References

  1. Adeli, Hojjat, and Karim, Asim (1997), “Scheduling/cost optimization and neural dynamics model for construction”, J. of Constr. Engrg. and Mgmt., ASCE, 123(4), 450-458.
  2. Al-Harbi, Kamal Al-Subhi, Selim, Shokri Z., and AlSinan, Maazen (1996), “A multiobjective linear program for scheduling repetitive projects”, Cost Engrg., 38(12), 41-45.
  3. Ammar, Mohammad A., and Elbeltagi, Emad (2001), “Algorithm for determining controlling path considering resource continuity”, J. Comp. in Civ. Engrg., ASCE, 15(4), 292-298.
  4. Chan, W. T., and Hu, Hao (2002), “Production Scheduling for Precast Plants using a Flow Shop Sequencing Model”, J. Comp. in Civ. Engrg.,ASCE, 16(3), 165- 174.
  5. Dzeng, R. J., Tserng, H. P.,and Wang, W. C. (2005), “Automating Schedule Review for Expressway Construction”, J.of Constr. Engrg. and Mgmt.,ASCE, 131(1), 127-136.
  6. Dzeng, R. J., Wang, W. C., and Tserng, H. P. (2004), “Module-Based Construction Schedule Administration for Public Infrastructure Agencies.” J.of Constr.Engrg.and Mgmt., ASCE, 130(1), 5-14.
  7. Feng, Chung-Wei, Cheng, Tao-Ming, and Wu, HsienTang (2004), “Optimizing the schedule of dispatching RMC trucks through genetic algorithms”, Automation in Construction, 13(3), 327-340.
  8. Thomas, Randolph H., Oloufa Amr A, ? Labor Productivity, Disruption and Ripple Effect ? , Cost Engineering, Vol. 37, No.12, 1995.
  9. Harris, Robert B. and Ioannou, Photios G. (1998), “Scheduling projects with repeating activities”, J. of Constr. Engrg .and Mgmt., ASCE, 124(4), 269-278.
  10. Huang, Rong-Yau (2002), “Demand-supply model for resource planning of repetitive construction projects”, J.of Chinese institute of civil and hydraulic engineering, 14(3), 551-559.
  11. Leu, Sou-Sen, and Hwang, Shao-Ting (2002), “GA-based resource-constrained flow-shop scheduling model for mixed precast production”, Automation in Construction, 11(4), 439-452.
  12. Leu, Sou-Sen, and Hung, Tzung-Heng (2002), “A genetic algorithm-based optimal resource-constrained scheduling simulation model”, Construction Management and Economics, 20(2), 131-141.
  13. Leu, Sou-Sen, and Yang, Chung-Huei (1999), “GA-Based Multicriteria Optimal Model for Construction Scheduling”, J. of Constr. Engrg. and Mgmt., ASCE, 125(6), 420-427.
  14. Mattila, Kris G, and Abraham, M. (1998), “Resource leveling of linear schedules using integer linear programming”, J. of Constr. Engrg. and Mgmt., ASCE, 124(3), 232-244.
  15. Moselhi, Osama, and El-Rayes, Khaled (1993), “Scheduling of repetitive projects with cost optimization,” J. of constr. Engrg. and Mgmt. ASCE, Vol. 119, No. 4, pp. 681-697.
  16. Reeves, C. R. (1995), “A genetic algorithm for flowshop sequencing”, Comp. and Operations Res., Oxford, U.K., 22(1), 5-13.
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Paper Citation


in Harvard Style

Huang R., Chen P. and Chen J. (2015). Optimizing Construction Sequences for Secant Pile Walls . In Proceedings of the 10th International Conference on Software Engineering and Applications - Volume 1: ICSOFT-EA, (ICSOFT 2015) ISBN 978-989-758-114-4, pages 145-150. DOI: 10.5220/0005553201450150


in Bibtex Style

@conference{icsoft-ea15,
author={Rong-Yau Huang and Ping-Fu Chen and Jieh-Haur Chen},
title={Optimizing Construction Sequences for Secant Pile Walls},
booktitle={Proceedings of the 10th International Conference on Software Engineering and Applications - Volume 1: ICSOFT-EA, (ICSOFT 2015)},
year={2015},
pages={145-150},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005553201450150},
isbn={978-989-758-114-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Software Engineering and Applications - Volume 1: ICSOFT-EA, (ICSOFT 2015)
TI - Optimizing Construction Sequences for Secant Pile Walls
SN - 978-989-758-114-4
AU - Huang R.
AU - Chen P.
AU - Chen J.
PY - 2015
SP - 145
EP - 150
DO - 10.5220/0005553201450150