Investigation of 3D dynamic and quasistatic models for spinal moments during combined manual material handling tasks

Yaar Harari, Avital Bechar, Simone Asci, Raziel Riemer

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Digital human modeling software uses biomechanical models to compute workers' risk of injury during industrial work processes. In many cases, the biomechanics are calculated using quasistatic models, which neglect the body's dynamics and therefore might be erroneous. This study investigated the differential effect of using a dynamic vs. a quasistatic model on spinal loading during combined manual material handling tasks that are prevalent in industry. An experiment was conducted involving nine male and nine female participants performing a total of 3402 cycles of a box-conveying task (removing, carrying and depositing) for different box masses and shelf heights. Using motion capture data, the peak and cumulative moments acting on the L5/S1 joint were calculated using 3D dynamic and quasistatic models. This revealed that neglecting the dynamic movements (i.e., using a quasistatic model) results in an on average underestimation of 19.7% in the peak spinal moment and 3.6% in the cumulative moment that in some cases exceeds the maximal limit for the compression forces acting on the lower back.

Original languageEnglish
Article number103305
JournalApplied Ergonomics
Volume91
DOIs
StatePublished - 1 Feb 2021

Keywords

  • Biomechanical model
  • Digital human modeling
  • Ergonomics
  • L5/S1 moments

ASJC Scopus subject areas

  • Human Factors and Ergonomics
  • Physical Therapy, Sports Therapy and Rehabilitation
  • Safety, Risk, Reliability and Quality
  • Engineering (miscellaneous)

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