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Ahn, S and Lee, S (2015) Methodology for Creating Empirically Supported Agent-Based Simulation with Survey Data for Studying Group Behavior of Construction Workers. Journal of Construction Engineering and Management, 141(01).

Arroyo, P, Tommelein, I D and Ballard, G (2015) Comparing AHP and CBA as Decision Methods to Resolve the Choosing Problem in Detailed Design. Journal of Construction Engineering and Management, 141(01).

Borg, L and Song, H (2015) Quality Change and Implications for Productivity Development: Housing Construction in Sweden 1990–2010. Journal of Construction Engineering and Management, 141(01).

Caldas, C H, Kim, J, Haas, C T, Goodrum, P M and Zhang, D (2015) Method to Assess the Level of Implementation of Productivity Practices on Industrial Projects. Journal of Construction Engineering and Management, 141(01).

Castillo, G, Alarcón, L F and González, V A (2015) Implementing Lean Production in Copper Mining Development Projects: Case Study. Journal of Construction Engineering and Management, 141(01).

Goh, Y M (2015) Empirical Investigation of the Average Deployment Force of Personal Fall-Arrest Energy Absorbers. Journal of Construction Engineering and Management, 141(01).

  • Type: Journal Article
  • Keywords: Fall arrest; Fall protection; Work-at-height; Safety; Standard; Labor and Personnel Issues;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000910
  • Abstract:
    The personal energy absorber (PEA) is a critical component of a personal fall arrest system (PFAS), and it is meant to dissipate the energy generated during a fall to prevent injuries to the user. When designing PFASs, engineers need to estimate the fall distance of the user, and one of the parameters needed is the average deployment force (Fa) of a PEA. However, currently there is a lack of empirical information on Fa. The guidance for the estimation of Fa stipulated in the North American standards Z259.16 and Z359.6 did not provide supporting empirical data and appeared to be focused on lower-capacity PEAs (class E4 or Type 1) that are not common in regions like Australia, New Zealand, Europe, and Singapore. Thus, this study aims to provide empirical data for the estimation of Fa of higher-capacity PEAs (class E6 or Type 2) represented by AS/NZS 1891.1:2007 PEAs. Thirty-one force–time charts of drop tests conducted on AS/NZS 1891.1-certified PEAs were evaluated, and it was found that the Fa ranged from 3.2 to 4.7 kN with a mean of 3.9 kN. In contrast to the guidance in Z259.16 and Z359.6, the data does not support estimating Fa based on 80% of maximum arrest force. The study also provided empirical basis for approximating Fa using energy-balance calculation. This paper recommends that in the absence of manufacturer’s information on Fa and other test data, a reasonable estimate of Fa of PEA certified to AS/NZS 1891.1:2007 is 3.4 kN (10th percentile) and a conservative estimate is 3.2 kN (minimum). In the absence of publicly available empirical data of PEA certified to other standards, the results in this paper can provide useful guidance for estimation of Fa certified to other similar standards.

Ha, S K, Jang, J G, Park, S H and Lee, H K (2015) Advanced Spray Multiple Layup Process for Quality Control of Sprayed FRP Composites Used to Retrofit Concrete Structures. Journal of Construction Engineering and Management, 141(01).

Hu, H and Zhu, Y (2015) Social Welfare–Based Concession Model for Build/Operate/Transfer Contracts. Journal of Construction Engineering and Management, 141(01).

Inayat, A, Melhem, H and Esmaeily, A (2015) Critical Success Factors in an Agency Construction Management Environment. Journal of Construction Engineering and Management, 141(01).

Matthews, J C and Stowe, R (2015) Critical Data Needs Associated with Asbestos Cement Pipe Renewal Methods. Journal of Construction Engineering and Management, 141(01).

Patel, D A and Jha, K N (2015) Neural Network Model for the Prediction of Safe Work Behavior in Construction Projects. Journal of Construction Engineering and Management, 141(01).

Roofigari-Esfahan, N, Paez, A and N.Razavi, S (2015) Location-Aware Scheduling and Control of Linear Projects: Introducing Space-Time Float Prisms. Journal of Construction Engineering and Management, 141(01).

Younes, B, Bouferguène, A, Al-Hussein, M and Yu, H (2015) Overdue Invoice Management: Markov Chain Approach. Journal of Construction Engineering and Management, 141(01).