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Whole-Body Vibration in the Mining Industry: a Systematic Review of Assessment Methods

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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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Correspondence to Florence Ntsiful.

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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

  1. NM, not mentioned; EC, equipment characteristics; AU, activity undertaken; OC, operator characteristics; AS, assessment standard; MA, measurement approach

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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