Research on safety evaluation of assembly building construction by integrating entropy power method and network analysis model

Authors

  • Luying Li Hubei Light Industry Technology Institute

DOI:

https://doi.org/10.14311/CEJ.2022.04.0040

Keywords:

Assembly building construction, Entropy power method, Network analysis method, Construction safety index

Abstract

Unlike the traditional construction mode of rough operation, assembly building construction implements the concept of green development in terms of energy consumption and environmental adaptability. Although assembly construction can effectively reduce construction energy consumption and improve the environmental resilience of building construction work, there is an urgent need for an effective safety assessment model for construction development due to the imperfect operation system and harsh construction environment in the construction industry. Therefore, the study analyzes the relationship of construction safety factors by using Analytic Network Process (ANP) to filter safety evaluation indexes according to the importance ranking. At the same time, the objective weights of safety indicators were determined by the entropy weight method, and the subjective weights determined by the ANP method were combined to construct the safety evaluation model for the construction of assembled buildings. The experiment shows that the maximum similarity between the comprehensive evaluation results of the model in the simulation of safety evaluation of high-rise residential construction and the actual evaluation criteria is 0.772. The experiment proves the reliability of the evaluation of the model, which reduces the safety loopholes and operation hazards for the construction of assembled buildings.

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Published

2022-12-31

How to Cite

Li, L. (2022). Research on safety evaluation of assembly building construction by integrating entropy power method and network analysis model. Stavební Obzor - Civil Engineering Journal, 31(4), 533–547. https://doi.org/10.14311/CEJ.2022.04.0040

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Articles