Abstract
Exposure to whole-body vibration has been recognised as an occupational hazard in the mining industry, especially in the operations of earthmoving equipment. Managing whole-body vibration exposures requires periodic measurement of exposure levels to identify priority areas for implementing controls. However, due to different approaches to collecting exposure values, significant variabilities lie in the results. This systematic review is the first attempt to analyse whole-body assessment methods in the mining industry. The aim was to identify how whole-body vibration has been assessed, including the sources of variabilities to improve future research. The PRISMA methodology was adopted for the review and a total of 152 peer-reviewed journal articles were identified. However, only 24 were included in the review, following the application of some inclusion criteria. Descriptive and thematic analyses were performed on the 24 selected articles. Results indicate that whole-body vibration has been assessed as a function of either equipment characteristics, activity undertaken, operator characteristics, measurement approach or the assessment standards. Due to the multifactorial and dynamic nature of whole-body vibration exposures, the variabilities in results are due to the interrelationships between the risk factors of whole-body vibration and the differences in the sample sizes. To identify the sources of variabilities, a comprehensive assessment of all the risk factors, including equipment characteristics, road conditions, operator characteristics, and activity undertaken, is highly warranted. Finally, research gaps and directions for future research have also been discussed.
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Appendices
Appendix 1
Studies’ characteristics (objective, theme, results)
Author (theme) | Objective(s) | Statistical measure(s) | Results | Limitations |
---|---|---|---|---|
Village, Morrison [36] (EC) | To measure typical WBV levels, dominant frequencies, and crest factors in LHD vehicles and compare the data to ISO 2631 (1982) To evaluate the results with respect to LHD accident and injury data and information available in the literature | Analysis of variance Turkey’s test | The highest RMS accelerations were measured during driving full and driving empty Significant differences in machine sizes and task (haulage cycle) in the x and z axes | Although terrain and operators varied for each machine size, it was not accounted for |
Smets, Eger [38] (EC) | To measure WBV at the seat level of small to mid-sized haul trucks during loading, loaded travel, dumping, and unloaded travel To compare risk predictions between part 1 and part 5 of ISO 2631 | t-test | Majority of the time was spent during loaded travel Loaded and unloaded travel had the highest weighted RMS vibration magnitudes No statistically significant differences in RMS acceleration values between trucks | Trucks performed different activities (laying gravels, transporting ore from pit to crusher or dumpsite) over varied terrain Variability in operator behaviour (speed and posture) was also not accounted for The age of vehicles was not included in the analysis |
Eger, Stevenson [37] (EC) | To characterise WBV exposure associated with the operation of small and large vehicles under loaded and unloaded travel conditions To determine possible health risks to LHD operators To determine the utility of the ride-control feature of LHD | Analysis of variance | No statistically significant difference between frequency weighted RMS and vehicles sizes Unloaded travel resulted in higher RMS values than loaded travel Vehicles with ride-control produced less vibration, although the difference was statistically significant | Age of vehicles was not accounted for Small sample size of vehicles equipped with ride control |
Wolfgang and Burgess-Limerick [14] (EC) | To examine the WBV exposures of operators of haul trucks during normal operations | Analysis of variance | Statistically significant interactions between RMS acceleration values, truck size, and roadway conditions were observed Maintained roadways are associated with lower vibration amplitudes | Trucks and drivers were not randomly sampled Models and ages of hauls trucks were not included in the analysis |
Mandal, Bhattacharjee [39] (EC) | To comparison of the vibration characteristics of conventional and pneumatic seats | NM | High driving speeds resulted in higher vibration values At a critical frequency of 4, pneumatic seats have attenuation supremacy over conventional seats | Weights of operators and terrain over which haul trucks were driven were not accounted for Vehicles varied in haulage capacity |
Lynas and Burgess-Limerick [12] (EC) | To gather WBV data from a range of underground equipment To estimates benefits derived from new shuttle seats, reduced speed and roadway maintenance | NM | Values recorded from individual shuttle cars were inconsistent Maintained roadway results in relatively lower vibration amplitudes | |
Vanerkar, Kulkarni [5] (EC) | To examine the WBV exposure of heavy earthmoving machinery operators | t-test | WBV exposure is not dependent on the type of mine but rather dependent on the working conditions and type of EME in operation Lower VDV for a prolonged time resulted in gastric effects and low back pain | Variations in road condition and operator characteristics were not reported |
Howard, Sesek [44] (EC) | To provide a reference to easily project expected exposure magnitudes for various equipment used in the mining industry | ANOVA | No statistically significant difference in RMS magnitudes between jobs within a given group Job not requiring travelling over haul roads had relatively low vibration Haul trucks, dozers and loaders produced higher vibration | The study included only one large scale mine; thus, the results may not be generic to other mines Job characterisation was done using only one type of equipment |
Aye and Heyns [52] (EC) | To provide a database of WBV exposures for equipment used in South African mines | NM | Dominant vibration axis varied across equipment 95% of the equipment is associated with vibration levels within the EAV | Variations in road condition and operator characteristics were not reported |
Kumar [41] (AU) | To determine the vibration in at the seat pan, 7th cervical and 3rd lumbar vertebral levels of operators whilst driving 200 and 300 series haul trucks | Analysis of variance Scheffe’s comparison | Higher seat vibration levels were not observed for the same truck No significant differences between the makes and ages of trucks and vibration exposure Significant difference between RMS acceleration and body weights Unloaded travel resulted in higher vibration amplitudes | Data were collected when the road had a thick snow cover and was frozen, resulting in smoother driving as compared to summer conditions |
Mandal and Mansfield [13] (AU) | To investigate the stages of operations of a fleet of 100-t haul trucks | NM | Unloaded travel resulted in higher vibration amplitudes Speed of travel was found to have a direct bearing on the intensity of vibration along the z-axis Loaded and unloaded travel contribute 99% of the overall vibration dose | Although haul trucks were working in different parts of the mine, road conditions and material being hauled (ore or overburden) were not included in the analysis |
Mayton, Porter [42] (AU) | To investigate how haul truck WBV exposure relates to a particular haulage activity and which activity posed higher exposure risk | NM | Unloaded travel showed the highest vibration amplitudes, followed by dumping, loaded travel and loading Increasing haul truck age showed decreasing seat transmissibility | Roadway maintenance at some quarries was limited or inadequate due to the availability of appropriate equipment and mining conditions |
Jeripotula, Mangalpady [1] (AU) | To examine WBV exposure during the forward and return motion of dozer operations | NM | Forward motion was associated with high RMS values than return motion Vibrations at the seat surface were higher than at the seat back | The road condition was not accounted for in the analysis Data on operator characteristics were not included |
Jeripotula, Manglapady [40] (AU) | To examine WBV exposure of Haul trucks during each phase of the haulage cycle | NM | The highest RMS vibration was recorded during unloaded travel for both seat surface and seat back Dominant vibration axis varied seat back and seat surface measurement for various work phases | The road condition was not accounted for in the analysis Data on operator characteristics were not included |
Appendix 2
Dominant vibration axis
Author | Standard | WBV measures | Results (dominant vibration axis) | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
RMS | A eq | A(8) | VDV | VDV(8) | S ed | R-factor | x | y | z | ||
Village, Morrison [36] | ISO 2631 (1982) | • | • | • | |||||||
Smets, Eger [38] | ISO 2631–1 ISO 2631–5 | • | • | • | • | • | • | ||||
Eger, Stevenson [37] | ISO 2631–1 | • | • | • | |||||||
Wolfgang and Burgess-Limerick [54] | ISO 2631–1 | • | • | • | |||||||
Mandal et al. [39] | ISO 2631–1 EU directive | • | • | • | |||||||
Lynas and Burgess-Limerick [12] | ISO 2631–1 | • | • | • | |||||||
Kumar [41] | ISO 2631–1 | • | Loading and unloading | loaded and unloaded travel | |||||||
Mandal and Mansfield [13] | ISO 2631–1 EU directive | • | • | ||||||||
Mayton, Porter [42] | ISO 2631–1 EN 1031:2003 | • | • | • | |||||||
Jeripotula, Mangalpady [1] | ISO 2631–1 EU directive | • | • | Seat surface | Seat back | ||||||
Jeripotula, Manglapady [40] | ISO 2631–1 EU directive | • | • | Seat back | Seat surface | ||||||
Erdem, Dogan [51] | BS 6841 ISO 2631–1 EU 2002/44/EC ISO 2631–5 | • | • | • | • | ||||||
Wolfgang, Di Corleto [48] | ISO 2631–1 | • | |||||||||
Burgess-Limerick and Lynas [15] | ISO 2631–1 | • | |||||||||
Burgess-Limerick and Lynas [53] | ISO 2631–1 | • | • | • | |||||||
Lynas and Burgess-Limerick [16] | ISO 2631–1 | • | • | • | |||||||
Alfaro Degan, Coltrinari [43] | ISO 2631–1 | • | • | • | |||||||
Eger, Stevenson [50] | ISO 2631–1 ISO 2631–5 | • | • | • | • | • | |||||
Zhao and Schindler [49] | ISO 2631–1 ISO 2631–5 | • | • | • | • | ||||||
Marin, Rodriguez [45] | ISO 2631–1 ISO 2631–5 | • | • | • | ● | Varies with equipment and speed of travel | |||||
Prajapati, Mishra [46] | ISO 2631–1 ISO 2631–5 | • | • | • | • | ||||||
Vanerkar, Kulkarni [5] | ISO 2631–1 | • | • | NA | |||||||
Howard, Sesek [44] | ISO 2631–1 | • | |||||||||
Aye and Heyns [52] | ISO 2631–1 | • | • |
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Ntsiful, F., Stemn, E. Whole-Body Vibration in the Mining Industry: a Systematic Review of Assessment Methods. Mining, Metallurgy & Exploration 40, 191–210 (2023). https://doi.org/10.1007/s42461-022-00712-y
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DOI: https://doi.org/10.1007/s42461-022-00712-y