Abstract

Due to more complex structure and increasing prefabrication rate of precast concrete buildings, the assembly order between their constituent components is getting more and more attention. In order to solve the assembly sequence planning and optimization (ASPO) problem in precast concrete buildings, Building Information Modelling (BIM) and Improved Genetic Algorithm (IGA) are organically combined to propose a new method called BIM-IGA-based ASPO method. This method uses BIM for parametric modelling, uses IGA to search for an optimal assembly sequence, and then uses BIM again for visual simulation to further test the assembly sequence. Besides, IGA, which is improved in coding mode, crossover operation and mutation operation, is also used to achieve the dynamic adjustment of assembly sequence in construction process. A full-text example is used to explain the detailed operating principle of BIM-IGA-based ASPO method. The results indicate that the method can effectively find an optimal assembly sequence to reduce the assembly difficulty of a precast concrete building

Highlights

  • After the Second World War, prefabricated buildings were developed rapidly because of their mass production and mechanized construction (Zabihi et al 2013)

  • BIM-IGA-based ASPO method is an organic combination of Building Information Modelling (BIM) and Improved Genetic Algorithm (IGA)

  • IGA follows the general process of classic genetic algorithm, but some improvements have been made in some specific steps

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Summary

Introduction

After the Second World War, prefabricated buildings were developed rapidly because of their mass production and mechanized construction (Zabihi et al 2013). Some mature principles in the manufacture industry can be applied to the construction industry (Tezel, Nielsen 2013) These methods and theories for mechanical assembly bodies provide reference for the ASPO problem of prefabricated buildings, especially precast concrete buildings. This paper associates BIM with Improved Genetic Algorithm (IGA) to study the assembly sequence planning and optimization (ASPO) of precast concrete buildings. This can fully utilize BIM’s parameterization and visualization, as well as IGA’s advantages in solving optimization problems.

Framework flow chart
Improved genetic algorithm
Problem description
Mathematical modelling
IGA-based optimization
BIM-based visual simulation
Scheme dynamic adjustment
Discussion and conclusions
Full Text
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