American Society of Civil Engineers


Application of a SOM-Based Optimization Algorithm in Minimizing Construction Time for Secant Pile Wall


by Jieh-Haur Chen, (Associate Professor, Grad. Inst. of Construction Engineering and Management, National Central Univ., 300 Jhongda, Jhongli, Taoyuan 32001, Taiwan. E-mail: jhchen@ncu.edu.tw), Mu-Chun Su, (Professor, Dept. of Computer Science and Information Engineering, National Central Univ., 300 Jhongda, Jhongli, Taoyuan 32001, Taiwan. E-mail: muchun@csie.ncu.edu.tw), and De-Yuan Huang, Ph.D., (Student, Dept. of Computer Science and Information Engineering, National Central Univ., 300 Jhongda, Jhongli, Taoyuan 32001, Taiwan. E-mail: s1522049@cc.ncu.edu.tw)

Journal of Construction Engineering and Management, Vol. 136, No. 11, November 2010, pp. 1189-1195, (doi:  http://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0000222)

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Document type: Journal Paper
Section Heading: Information Technologies
Abstract: Construction time matters for activities where rental equipment must be used. The building of a secant pile wall requires the rental of equipment and finding the optimal sequence to minimize the construction time is one way to lower construction costs. In this study we develop an effective and efficient optimization algorithm, which we call self-organizing feature map (SOM)-based optimization (SOMO), to minimize the construction time. The algorithm is applied to a case study to obtain the optimal sequences for both primary and secondary bored piles for a secant pile wall. The new SOMO algorithm is developed based on the ability of the human brain to produce topologically ordered mapping, so as to exploit better solutions via updating the weighting vectors of the neurons in a self-organizing topological way that occurs in the evolution of the feature map for optimization. Given detailed building time of the 16 activities of each bored pile, we find that 143.92 h or 27.21% of the original construction can be saved. The optimal sequences for both primary and secondary bored piles are also determined. The practicability of the SOMO algorithm is substantiated.


ASCE Subject Headings:
Construction management
Optimization
Walls
Piles
Time factors

Author Keywords:
Construction time
Optimization
Self-organizing feature map (SOM)
Secant pile wall
SOMO algorithm
Optimal sequencing