Authors:
Rong-Yau Huang
;
Ping-Fu Chen
and
Jieh-Haur Chen
Affiliation:
National Central University, Taiwan
Keyword(s):
Pile Sequence, Optimization, Genetic Algorithm (GA).
Related
Ontology
Subjects/Areas/Topics:
Data Communication Networking
;
Performance Evaluation
;
Project Management Software
;
Project Planning, Monitoring and Control
;
Scheduling and Estimating
;
Software Engineering
;
Software Project Management
;
Telecommunications
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 t
he 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.
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