Whole-body vibration exposure of haul truck drivers at a surface coal mine

Wolfgang, Rebecca; Burgess-Limerick, Robin

doi:10.1016/j.apergo.2014.05.020

Cited by 70 publications

(46 citation statements)

References 8 publications

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“…A number of individual characteristics, such as age and smoking [7], height and weight [8] and mental stress [9], have also been associated with musculoskeletal symptoms. Operators of vehicles used in mining operations are exposed to considerable WBV during relatively long work periods [10][11][12][13][14][15]. Studies have also shown that the prevalence of self-reported musculoskeletal symptoms is higher among drivers of mine vehicles than among nonexposed workers [16,17].…”

Section: Introductionmentioning

confidence: 94%

Musculoskeletal symptoms and exposure to whole-body vibration among open-pit mine workers in the Arctic

Burström¹,

Aminoff²,

Björ³

et al. 2017

Int J Occup Med Environ Health

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Objectives: This cross-sectional questionnaire study was carried out at 4 open-pit mines in Finland, Norway, Russia and Sweden as part of the MineHealth project. The aim has been to compare the prevalence of musculoskeletal symptoms between drivers of mining vehicles and non-drivers. Material and Methods: The mine workers were asked whether they had suffered from any musculoskeletal symptoms during the previous 12 months in specified body regions, and to grade the severity of these symptoms during the past month. They were also asked about their daily driving of mining vehicles. Results: The questionnaire was completed by 1323 workers (757 vehicle drivers) and the reported prevalence and severity of symptoms were highest for the lower back, followed by pain in the neck, shoulder and upper back. Drivers in the Nordic mines reported fewer symptoms than non-drivers, while for Russian mine workers the results were the opposite of that. The daily driving of mining vehicles had no significant association with the risk of symptoms. Female drivers indicated a higher prevalence of symptoms as compared to male drivers. Conclusions: The study provided only weak support for the hypothesis that drivers of vehicles reported a higher prevalence of musculoskeletal symptoms than non-vehicle drivers. There were marked differences in the prevalence of symptoms among workers in various enterprises, even though the nature of the job tasks was similar. Int J Occup Med Environ Health 2017;30(4):553-564

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Section: Introductionmentioning

confidence: 94%

Musculoskeletal symptoms and exposure to whole-body vibration among open-pit mine workers in the Arctic

Burström¹,

Aminoff²,

Björ³

et al. 2017

Int J Occup Med Environ Health

View full text Add to dashboard Cite

show abstract

“…2) Fu Lin Zhen studied the issues of cooling fan and tire and suggested a method by adjusting the fan's speed and dynamic imbalance to control beatingvibration. Atsushi Suzuki [3] analyzed cooling fan noise by transient analysis. In this [4] discussed about the vibrations transmitted from the steering wheel of the tractor with a 2-wheel drive to the driver's hands.…”

Section: B Analog To Digital Convertermentioning

confidence: 99%

Vibration Analysis on Car Steering Due to Smooth and Rough Road Condition

Velmurgan¹,

Srikanth²,

Balakrishna³

2017

IJTSRD

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In this project actually we are going to find out the vibrational analysis for different car steering for different road profiles. And also our aim is to find out or collecting out the vibrational values, to know the vibration of the steering in different road conditions. In this project we have used the accelerometer sensor for finding out the steering vibrational values in different road profiles. And also we have used the digital to analog converter, which convert the sensor reading values to the analog values. The methodology we have used as usually normal method to taking vibrational values of normal steering and power steering in smooth and rough road conditions. The values we have collected from the sensor readings are put it in the DEWE software for analyzing, in this software can find out which steerin will produce more vibration in different road profiles. In this project we are going to find which steering will produce more vibration in different road conditions. 1. INTRODUCTION Cars are generally used for the comfortable journey. The design and testing of a car is so critical that they should ensure both safety and comfort. The design and fabrication of a car is generally divided into eight sub system design.

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“…In 2014, Wolfgang demonstrated road quality is a major contributor to vibration response and the vibration magnitude caused by the road roughness is highest in the vertical direction -the direction most damaging to the health of operators. Maintained roads are associated with lower vibration (Wolfgang and Burgess-Limerick, 2014).Another study showed it is possible to identify and reconstruct road defects using vibration data (Hugo et al, 2008). This research was successful at identifying specially constructed defects, but application to real road conditions where vibration response of multiple defects can overlap was not proven.…”

Section: Introductionmentioning

confidence: 99%

“…Maintained roads are associated with lower vibration and it is likely haul road maintenance will be an effective control for whole body vibrations. (Wolfgang and Burgess-Limerick, 2014) Existing maintenance management systems rely heavily on visual assessment. This assessment is converted to a defect score that relates to rolling resistance through an empirical model.…”

Section: Introductionmentioning

confidence: 99%

Haul road roughness measurement using georeferenced truck vibration

Douglas

2019

New Trends in Production Engineering

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Vehicle vibrations caused by poor haul road conditions create multiple negative effects for mines, including slower cycle times, increased maintenance, and operator injury. Vibration levels in vehicles result in part from road roughness. Mine roads are mainly constructed from in-pit materials that are more likely to deteriorate overtime and require frequent maintenance to maintain a smooth surface. The decision for when and where road maintenance is conducted is primarily based on visual inspections. This method can provide subjective, inaccurate, and delayed response to adverse conditions. The recent increase in vehicle telemetry data allows instant access to several types of data; mainly being used for haul fleet dispatching, collision avoidance, and geologic surveying, telemetry data has yet to see widespread use in road maintenance dispatching. This paper examines current road roughness characterization techniques and current telemetry data streams. An initial case study was conducted using vibration and Global Navigation Satellite System (GNSS) telemetry data to determine road roughness. Data from three haul trucks under normal operating conditions were collected over the course of a week. The results of this case study demonstrate localized vibration levels can be used to objectively identify rough roads. This can be further developed to dispatch road maintenance crews leading to overall reduced mining costs and increased operator health. The researches propose continuing to full scale test using data from an entire fleet and longer timeframe.

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Whole-body vibration exposure of haul truck drivers at a surface coal mine

Cited by 70 publications

References 8 publications

Musculoskeletal symptoms and exposure to whole-body vibration among open-pit mine workers in the Arctic

Musculoskeletal symptoms and exposure to whole-body vibration among open-pit mine workers in the Arctic

Vibration Analysis on Car Steering Due to Smooth and Rough Road Condition

Haul road roughness measurement using georeferenced truck vibration

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