Technical Papers
Nov 27, 2020

Analysis of the Limits of Automated Rule-Based Ergonomic Assessment in Bricklaying

Publication: Journal of Construction Engineering and Management
Volume 147, Issue 2

Abstract

Physically demanding and repetitive tasks expose workers to work-related musculoskeletal disorders (WMSDs). Over the last few decades, various rule-based postural assessment systems have been developed and widely used to facilitate the measurement and evaluation of risks related to WMSDs in many industries. However, the applicability of rule-based assessment to tasks involving heavy material handling has not yet been examined. This study investigated the applicability of three rule-based assessment systems (RULA, REBA, and OWAS) to a bricklaying task. To achieve this goal, an automated assessment tool was developed to implement those systems on whole-body data sets consisting of static postures captured by wearable inertial measurement unit suits. The study demonstrates the use of this tool in assessing risk levels (grand scores) encountered by 43 masons during the laying of 16.6-kg concrete masonry units (CMUs) in a standard wall. Furthermore, the biomechanical analysis of the same data set was carried out and utilized as ground truth to evaluate those results. It was found that rule-based assessment may lead to erroneously inflated risk evaluation in heavy manual handling tasks. In contrast, biomechanical analysis provided sensitive risk evaluations that distinguish the different degrees of risk arising from different motion patterns while participants performed the same tasks. These findings suggest using biomechanical analysis as an objective and robust method to evaluate risks encountered in tasks involving heavy material handling.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

The authors would like to acknowledge the Ontario Masonry Training Centre at Conestoga College in Waterloo, Ontario, Canada, and the Canada Masonry Design Centre in Mississauga (CMDC) in Ontario, Canada, for their considerable help in data collection. The work presented in this paper was supported financially by the CMDC and the Natural Sciences and Engineering Research Council of Canada (NSERC) (CRDPJ 494786-16).

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 147Issue 2February 2021

History

Received: Jan 21, 2020
Accepted: Aug 28, 2020
Published online: Nov 27, 2020
Published in print: Feb 1, 2021
Discussion open until: Apr 27, 2021

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Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Waterloo, 200 University Ave. West, Waterloo, ON, Canada N2L 3G1 (corresponding author). ORCID: https://orcid.org/0000-0001-5836-9968. Email: [email protected]
Mohsen M. Diraneyya [email protected]
Algorithm Engineer, PUSH Design Solution, Inc., 147 Liberty St., Toronto, ON, Canada M6K 3G4. Email: [email protected]
Carl T. Haas, F.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, Univ. of Waterloo, 200 University Ave. West, Waterloo, ON, Canada N2L 3G1. Email: [email protected]
Professor, Dept. of System Design Engineering, Univ. of Waterloo, 200 University Ave. West, Waterloo, ON, Canada N2L 3G1. ORCID: https://orcid.org/0000-0002-3709-7593. Email: [email protected]

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