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 language | English |
|---|---|
| Title of host publication | Advances in Intelligent Systems and Computing |
| Publisher | Springer Verlag |
| Pages | 329-340 |
| Number of pages | 12 |
| Volume | 382 |
| ISBN (Print) | 9783662479254 |
| DOIs | |
| Publication status | Published - 2016 |
| Event | 2nd International Conference on Harmony Search Algorithm, ICHSA 2015 - Seoul, Korea, Republic of Duration: 2015 Aug 19 → 2015 Aug 21 |
Publication series
| Name | Advances in Intelligent Systems and Computing |
|---|---|
| Volume | 382 |
| ISSN (Print) | 21945357 |
Other
| Other | 2nd International Conference on Harmony Search Algorithm, ICHSA 2015 |
|---|---|
| Country | Korea, Republic of |
| City | Seoul |
| Period | 15/8/19 → 15/8/21 |
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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
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 proceeding › Conference contribution
}
TY - GEN
T1 - Optimum configuration of helical piles with material cost minimized by harmony search algorithm
AU - Na, Kyunguk
AU - Lee, Dongseop
AU - Lee, Hyungi
AU - Jung, Kyoungsik
AU - Choi, Hangseok
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - Combined prediction method
KW - Cylindrical shear method
KW - Harmony search algorithm
KW - Helical pile
KW - Individual bearing method
UR - http://www.scopus.com/inward/record.url?scp=84946780848&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946780848&partnerID=8YFLogxK
U2 - 10.1007/978-3-662-47926-1_32
DO - 10.1007/978-3-662-47926-1_32
M3 - Conference contribution
SN - 9783662479254
VL - 382
T3 - Advances in Intelligent Systems and Computing
SP - 329
EP - 340
BT - Advances in Intelligent Systems and Computing
PB - Springer Verlag
ER -