Optimum configuration of helical piles with material cost minimized by harmony search algorithm

Kyunguk Na, Dongseop Lee, Hyungi Lee, Kyoungsik Jung, Hangseok Choi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Helical piles are a manufactured steel foundation composed of one or multiple helix plates affixed to a central shaft. A helical pile is installed by rotating the central shaft with hydraulic torque motors. There are three representative theoretical predictions for the bearing capacity of helical piles: individual bearing method, cylindrical shear method, and torque correlation method. The bearing capacity of helical piles is governed by the helical pile’s configuration, geologic conditions and penetration depth. The high variability of influence factors makes an optimum design for helical pile configuration difficult in practice. In this paper, the harmony search algorithm is adopted to minimize the material cost of helical piles by optimizing the components composing a helical pile based on the proposed bearing capacity prediction. The optimization process based on the combined prediction method with the aid of the harmony search algorithm leads to an economical design by saving about 27percent of the helical pile material cost.

Original languageEnglish
Title of host publicationAdvances in Intelligent Systems and Computing
PublisherSpringer Verlag
Pages329-340
Number of pages12
Volume382
ISBN (Print)9783662479254
DOIs
Publication statusPublished - 2016
Event2nd International Conference on Harmony Search Algorithm, ICHSA 2015 - Seoul, Korea, Republic of
Duration: 2015 Aug 192015 Aug 21

Publication series

NameAdvances in Intelligent Systems and Computing
Volume382
ISSN (Print)21945357

Other

Other2nd International Conference on Harmony Search Algorithm, ICHSA 2015
CountryKorea, Republic of
CitySeoul
Period15/8/1915/8/21

Fingerprint

Piles
Costs
Bearing capacity
Bearings (structural)
Hydraulic motors
Torque motors
Correlation methods
Torque
Steel

Keywords

  • Combined prediction method
  • Cylindrical shear method
  • Harmony search algorithm
  • Helical pile
  • Individual bearing method

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Na, K., Lee, D., Lee, H., Jung, K., & Choi, H. (2016). Optimum configuration of helical piles with material cost minimized by harmony search algorithm. In Advances in Intelligent Systems and Computing (Vol. 382, pp. 329-340). (Advances in Intelligent Systems and Computing; Vol. 382). Springer Verlag. https://doi.org/10.1007/978-3-662-47926-1_32

Optimum configuration of helical piles with material cost minimized by harmony search algorithm. / Na, Kyunguk; Lee, Dongseop; Lee, Hyungi; Jung, Kyoungsik; Choi, Hangseok.

Advances in Intelligent Systems and Computing. Vol. 382 Springer Verlag, 2016. p. 329-340 (Advances in Intelligent Systems and Computing; Vol. 382).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Na, K, Lee, D, Lee, H, Jung, K & Choi, H 2016, Optimum configuration of helical piles with material cost minimized by harmony search algorithm. in Advances in Intelligent Systems and Computing. vol. 382, Advances in Intelligent Systems and Computing, vol. 382, Springer Verlag, pp. 329-340, 2nd International Conference on Harmony Search Algorithm, ICHSA 2015, Seoul, Korea, Republic of, 15/8/19. https://doi.org/10.1007/978-3-662-47926-1_32
Na K, Lee D, Lee H, Jung K, Choi H. Optimum configuration of helical piles with material cost minimized by harmony search algorithm. In Advances in Intelligent Systems and Computing. Vol. 382. Springer Verlag. 2016. p. 329-340. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-662-47926-1_32
Na, Kyunguk ; Lee, Dongseop ; Lee, Hyungi ; Jung, Kyoungsik ; Choi, Hangseok. / Optimum configuration of helical piles with material cost minimized by harmony search algorithm. Advances in Intelligent Systems and Computing. Vol. 382 Springer Verlag, 2016. pp. 329-340 (Advances in Intelligent Systems and Computing).
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