Author
Listed:
- Cannan Yi
(School of Safety and Management Engineering, Hunan Institute of Technology, Hengyang 421102, China
School of Mechanical Engineering, Southeast University, Nanjing 211189, China)
- Fan Tang
(School of Safety and Management Engineering, Hunan Institute of Technology, Hengyang 421102, China)
- Kai-Way Li
(Department of Industrial Management, Chung Hua University, Hsinchu 30012, Taiwan)
- Hong Hu
(School of Safety and Management Engineering, Hunan Institute of Technology, Hengyang 421102, China)
- Huali Zuo
(School of Safety and Management Engineering, Hunan Institute of Technology, Hengyang 421102, China)
- Caijun Zhao
(School of Safety and Management Engineering, Hunan Institute of Technology, Hengyang 421102, China
Department of Industrial Management, Chung Hua University, Hsinchu 30012, Taiwan)
Abstract
Manual demolition tasks are heavy, physically demanding tasks that could cause muscle fatigue accumulation and lead to work-related musculoskeletal disorders (WMSDs). Fatigue and recovery models of muscles are essential in understanding the accumulation and the reduction in muscle fatigue for forceful exertion tasks. This study aims to explore the onset of muscle fatigue under different work/rest arrangements during manual demolition tasks and the offset of fatigue over time after the tasks were performed. An experiment, including a muscle fatigue test and a muscle fatigue recovery test, was performed. Seventeen male adults without experience in demolition hammer operation were recruited as human participants. Two demolition hammers (large and small) were adopted. The push force was either 20 or 40 N. The posture mimicked that of a demolition task on a wall. In the muscle fatigue test, the muscle strength ( MS ) before and after the demolition task, maximum endurance time (MET), and the Borg category-ratio-10 (CR-10) ratings of perceived exertion after the demolition task were measured. In the muscle fatigue recovery test, MS and CR-10 at times 1, 2, 3, 4, 5, and 6 min were recorded. Statistical analyses were performed to explore the influence of push force and the weight of the tool on MS , MET, and CR-10. Both muscle fatigue models and muscle fatigue recovery models were established and validated. The results showed that push force affected MET significantly ( p < 0.05). The weight of the tool was significant ( p < 0.05) only on the CR-10 rating after the first pull. During the muscle fatigue recovery test, the MS increase and the CR-10 decrease were both significant ( p < 0.05) after one or more breaks. Models of MET and MS prediction were established to assess muscle fatigue recovery, respectively. The absolute (AD) and relative (RD) deviations of the MET model were 1.83 (±1.94) min and 34.80 (±31.48)%, respectively. The AD and RD of the MS model were 1.39 (±0.81) N and 1.9 (±1.2)%, respectively. These models are capable of predicting the progress and recovery of muscle fatigue, respectively, and may be adopted in work/rest arrangements for novice workers performing demolition tasks.
Suggested Citation
Cannan Yi & Fan Tang & Kai-Way Li & Hong Hu & Huali Zuo & Caijun Zhao, 2022.
"Modeling and Validation of Fatigue and Recovery of Muscles for Manual Demolition Tasks,"
IJERPH, MDPI, vol. 19(2), pages 1-15, January.
Handle:
RePEc:gam:jijerp:v:19:y:2022:i:2:p:930-:d:725112
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:2:p:930-:d:725112. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.