Ferreira-Rubio-Gibb-FRAM structure construction-Safety Science-Accepted 4-20-FOR REPOSITORY.pdf (887.63 kB)
Using functional resonance analysis method to understand construction activities for concrete structures
journal contribution
posted on 2020-04-24, 13:12 authored by María del Carmen Pardo-Ferreira, Juan Carlos Rubio-Romero, Alistair Gibb, Santiago Calero-CastroThe
improvement of safety management in the construction sector, especially in activities
for concrete structures, continues to be necessary. This paper aims at
increasing understanding of everyday construction activities for building
concrete structures in order to improve resilient safety management. The
Functional Resonance Analysis Method (FRAM) has been applied to these
activities for this purpose. Analysis of available documentation, on-site interviews and
observations have been conducted to collect data. The FRAM analysis revealed that the construction
phase health and safety plan is rarely used, that organizational pressure
affects safety and that leading indicators to monitor normal work are not used.
In addition, delivery of concrete on site and
crane operations as key factors due to their influence on variability. This
study outlined the potential of the FRAM model as the basis of in-depth and
systematic analysis of daily performance, highlighting issues that, until now,
had been undervalued.
Funding
Spanish Ministry of Economy and Competitiveness for financing project BIA2016-79270-P
History
School
- Architecture, Building and Civil Engineering
Published in
Safety ScienceVolume
128Pages
104771Publisher
Elsevier BVVersion
- AM (Accepted Manuscript)
Rights holder
© ElsevierPublisher statement
This paper was accepted for publication in the journal Safety Science and the definitive published version is available at https://doi.org/10.1016/j.ssci.2020.104771Acceptance date
2020-04-10Publication date
2020-04-22Copyright date
2020ISSN
0925-7535Publisher version
Language
- en
Depositor
Prof Alistair Gibb Deposit date: 22 April 2020Article number
104771Usage metrics
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