| dc.description.abstract | Abstract
Road construction is the infrastructure of national constructions. With the development of economy and the increase of traffic volume, the impact on the environment from increasing road constructions will be unavoidable. With the rise of domestic environmental awareness and the improvement of living quality in recent years, road constructions must take the impact of noise, vibration, and pollution into account. In the design phase, in case of insufficient strata strength or weak bearing capacity of the soil layer, the load of superstructure shall be transferred to bearing stratum or to a hard disc through underground structure, so as to increase the safety and stability of the structure. Therefore, the piles play a decisive role in deep foundation.
This study, aiming at the above problems, sets constraints according to the geological conditions, the number of piles drilled and the amount of earth needed to be transported, to establish an optimized integer programming mathematical model, and uses LINGO 12.0 software for solutions. When conditions and situations are different from what in the practices, users can adjust parameters and equations at any time for a new solution, and adjust the scheduling of equipment according to the trend of each parameter sensitivity change to meet the practical scheduling in the allocation of resources. To verify the rationality and practicality of this model, this study tests the model with the sample of all-casing piling in You-Shi Interchange improvement construction and compare the lowest cost from the model to the cost from operator experience. This optimized model does result in lower cost and is more efficient than human experience. Therefore, this model can be flexibly applied to all kinds of piling together with all kinds of earthwork truck dispatch.as an important reference for managers in construction planning.
Keywords: all-casing pile, equipment assignment, optimization, integer programming
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