Disaster of the bucket wheel excavator caused by extreme environmental impact: Consequences, rescue and reconstruction

Bošnjak, Srđan; Savićević, Sreten; Gnjatović, Nebojša B.; Milenović, Ivan L.J.; Pantelic, Milorad

doi:10.1016/j.engfailanal.2015.01.002

Cited by 12 publications

(6 citation statements)

References 22 publications

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“…It weights up to hundreds of tons, length up to tens of meters. Due to the poor working conditions there exist a number of complex excitations, and it is easy to cause the low-frequency vibration of the bucked wheel boom, which induces fatigue cracks and even causes serious accidents such as collapse of the whole machine [1][2][3][4][5][6]. It is for this reason that bucked wheel excavator requires serving regularly, and abnormal vibration diagnosis and repairments are often performed on the bearing structures [7,8], which has brought huge losses to the plants.…”

Section: Introductionmentioning

confidence: 99%

Low‐Frequency Vibration Testing of Huge Bucket Wheel Excavator Based on Step‐Decay Signals

Jiang

Liu

et al. 2018

Shock and Vibration

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The low-frequency vibration of the bucket wheel excavator has an important impact on the fatigue life of the structures. For conventional vibration testing methods, it is difficult and expensive to excite the overall low-frequency vibration of the whole machine. Hence, in this paper, the excitation method that uses the belt-supporting rollers on the boom as an exciter is tried to excite the low-frequency vibration, so that the low natural frequencies can be identified by Fourier transforming the free decay signals caused by the sudden power off. By this method, the first five natural frequencies are obtained, and the results are verified through corresponding computational numerical model of the bucket wheel excavator. It can be concluded that the proposed testing method can achieve the same accuracy but is much more convenient and costs less than existing methods.

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Section: Introductionmentioning

confidence: 99%

Low‐Frequency Vibration Testing of Huge Bucket Wheel Excavator Based on Step‐Decay Signals

Jiang

Liu

et al. 2018

Shock and Vibration

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“…An analysis of the background of serious failures (damages) and excavator downtimes was performed [23][24][25]. From the aspect of accident risk, four weak points are located that are characteristic for this type of excavator (Figure 3):…”

Section: Module 1-weak Point Analysismentioning

confidence: 99%

“…• Risk to structural stability-design errors, insufficient maintenance, or ES management errors can cause catastrophic damage with total damage [21][22][23][24][25]; • Risk of interruption of the production process-downtime of ES causes losses in planned production [26,27];…”

mentioning

confidence: 99%

Risk Evaluation: Brief Review and Innovation Model Based on Fuzzy Logic and MCDM

et al. 2022

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The risk assessment of engineering systems represents an important part of the quality of service and dependability. The existing methods for risk evaluation use crisp sets for rating partial indicators’ proposition and their cumulative products as an overall indicator. In this paper, existing FMEA and FMECA methods have been improved using the fuzzy expert system for calculating the risk priority number. The application of fuzzy logic allows the use of linguistic descriptions for risk analysis. In this way, the state of the system in terms of risks and consequences is better described. The settings of the fuzzy systems are based on the application of two multi-criteria decision-making methods. The AHP method was used to define the mutual relationship of the impact of partial indicators (occurrence, severity, and detectability) on risk. In this way, subjectivity in risk assessment is reduced. In the composition of the fuzzy model, the TOPSIS method is introduced to reduce the dissipation of results, which contributes to the accuracy of the outcome. This contributes to the accuracy of the results. The results were verified through a case study of a complex engineering system—bucket-wheel excavators. The risk was observed from the aspect of the danger of damage and the danger of downtime. The initial information for weak points of ES is defined according to historical damage events and statistics of downtime. Expert knowledge was used for weak points grading in the model. Additional model verification was performed using similar methods, using the same input data. The innovative model, presented in the paper, shows that it is possible to correct different weights of risk indicators. The obtained results show less dispersion compared with other existing methods. Weak points with increased risk have been located, and an algorithm has been proposed for risk-based maintenance application and implementation.

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“…Excavators, which are primarily used for digging foundations and moving soil on construction sites, are each controlled by an operator and frequently work in close proximity to other workers who are assisting with the excavation or performing other tasks nearby. Space is often limited, and the nature of the excavation task means that there are frequent accidents due to factors such as soil erosion, reclamation, vehicle rollover on unstable surfaces, and even the collapse of structures due to accidents during the construction process [1]. Accidents caused by excavators can not only lead to the failure of the excavator, but also human casualties, either the excavator operator or others working close by.…”

Section: Introductionmentioning

confidence: 99%

Development of Unmanned Excavator Vehicle System for Performing Dangerous Construction Work

Lee

Kim

Sun

et al. 2019

Sensors

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Of all the machinery and equipment used on construction sites, excavators are responsible for the greatest number of fatal accidents. Excavation is an inherently risky process due to imprecise work processes and the unstable external environment on most work sites. The resulting accidents cause serious injuries that threaten the lives of not only the excavator pilots but also those working around them. In this study, we propose a mechanical device that is capable of operating the excavator remotely from a nearby safe location such as a site office. To ensure worker safety and at the same time boost the productivity of excavation operations, data from 3D scanners, cameras, and sensors were combined to create a detailed 3D picture of the area surrounding the excavation site to guide a remotely operated excavating system. Rather than modifying the excavator itself, a removable manipulator was mounted on the joystick in the excavator’s cockpit. Our proposed system was tested on a standard commercial excavator to verify its performance for a real-world excavation task.

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Disaster of the bucket wheel excavator caused by extreme environmental impact: Consequences, rescue and reconstruction

Cited by 12 publications

References 22 publications

Low‐Frequency Vibration Testing of Huge Bucket Wheel Excavator Based on Step‐Decay Signals

Low‐Frequency Vibration Testing of Huge Bucket Wheel Excavator Based on Step‐Decay Signals

Risk Evaluation: Brief Review and Innovation Model Based on Fuzzy Logic and MCDM

Development of Unmanned Excavator Vehicle System for Performing Dangerous Construction Work

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