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Safety assessment of all-steel-type attached lifting scaffold based on grey Euclidean theory

Author

Listed:
  • Yijun Liu
  • Qin Li
  • Wenlong Li
  • Huimin Li
  • Xingwang Pei

Abstract

To reduce the incidence of safety accidents during the construction of all-steel-type attached lifting scaffolds and address the research gaps in related fields, in this study a theoretical model of trajectory crossing accidents was coupled with an analysis of similar safety accidents to determine the causes of accidents in the construction of high-rise buildings using steel-type attached lifting scaffolds. To do so, a safety evaluation index system covering all steel-type attached lifting scaffolds that comprises five first-level indicators and 17 second-level indicators was established. The first-level indicators cover three risk dimensions: unsafe human behavior (personal operations), unsafe conditions (material performance, structural calculation, components and connections), and lack of management (safety management). A combined multi-agent-based modeling (MABM) method and structural entropy weight were used to calculate a comprehensive weight for better alignment of the weight calculation results with objective laws. A safety assessment model for an all-steel-type attached lifting scaffolding was constructed using grey relative Euclidean weighted correlation theory to enable the calculation of a grey-to-Euclidean weighted correlation degree that directly correlates with the degree of security. Using the established assessment model, four projects were subjected to a safety evaluation, with the results validating the model by revealing that its output was consistent with the actual security situation.

Suggested Citation

  • Yijun Liu & Qin Li & Wenlong Li & Huimin Li & Xingwang Pei, 2020. "Safety assessment of all-steel-type attached lifting scaffold based on grey Euclidean theory," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-28, August.
  • Handle: RePEc:plo:pone00:0238074
    DOI: 10.1371/journal.pone.0238074
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