Detection of mechanical stress in the steel structure of a bridge crane

Hrabovský, Leopold; Čepica, Daniel; Frydrýšek, Karel

doi:10.1016/j.taml.2021.100299

Cited by 8 publications

(7 citation statements)

References 5 publications

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“…The rail beam meets a local failure at a structural point when its calculated total strain reaches the yield value calculated by Equation (15).…”

Section: Calculation Of Rail Beam Reliabilitymentioning

confidence: 99%

“…12,13 To gain more information on magnitude of mechanical stress and strain for hazardous area detection, it's prone to install sensors on pre-selected position of the rail beam in engineering practice, such as mechanical stress detectors and strain gauges. 14 By considering the skewing effect, Hrabovsky et al 15 presented a design solution to detect the magnitude of mechanical stress and deformation of the crane system. In addition, Kettler et al 16 developed an analytic model for the calculation of the local vertical bending stresses due to wheel loading in the web of crane runway girders with box section.…”

Section: Introductionmentioning

confidence: 99%

“…To gain more information on magnitude of mechanical stress and strain for hazardous area detection, it's prone to install sensors on pre‐selected position of the rail beam in engineering practice, such as mechanical stress detectors and strain gauges 14 . By considering the skewing effect, Hrabovsky et al 15 . presented a design solution to detect the magnitude of mechanical stress and deformation of the crane system.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Monte‐Carlo simulation‐based analysis for structural reliability of the crane rail beam under stochastic crane movements and irradiation conditions

Qian

Ren

et al. 2023

Quality & Reliability Eng

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This study presents a Monte-Carlo simulation-based approach to investigate how stochastic crane movements affect the structural reliability of the rail beam considering radiation effects. In the simulation, the rail beam loaded under a stochastically moving crane is discretized into 47 equispaced structural points for calculating its strain profile. Then the structural reliability at each structural point is calculated with the consideration of irradiation creep, represented as an accumulated strain over a given period of time. And the rail beam reliability is determined by the minimum value from the reliabilities calculated at different structural points, according to the weakest link principle. In our simulations, three candidate distributions, including the normal distribution, uniform distribution, and 3-parameter lognormal distributions respectively, are applied to describe the stochastic distances of the crane. It can be seen from the simulation results that the rail beam reliability degrades with the most rapid rate when the crane distances follow a normal distribution, compared to the other two distributions. This paper offers a possible way of using the proposed Monte-Carlo simulation-based method to carry out reliability analysis and improvements for the rail beam working in extreme environments, such as irradiation conditions, with random operational tasks.

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“…The rail beam meets a local failure at a structural point when its calculated total strain reaches the yield value calculated by Equation (15).…”

Section: Calculation Of Rail Beam Reliabilitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Monte‐Carlo simulation‐based analysis for structural reliability of the crane rail beam under stochastic crane movements and irradiation conditions

Qian

Ren

et al. 2023

Quality & Reliability Eng

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“…A significant negative aspect of the operation of bridge-type cranes is the technical problems associated with the wear of the crane wheels and crane track, whereby this wear causes crane skewing [ 1 ]. Crane skewing induces horizontal forces between the crane and the crane track during the motion of the overhead traveling crane on the crane track.…”

Section: Introductionmentioning

confidence: 99%

“…Crane skewing induces horizontal forces between the crane and the crane track during the motion of the overhead traveling crane on the crane track. The main causes of crane skewing include unevenness of the crane track, unequal loading of the traction drives depending on the position of the crane trolley, slips and different sizes of travel wheels, acceleration or braking of the crane and combinations of these causes [ 1 , 2 ]. Elimination of these negative impacts can be realized in different ways.…”

Section: Introductionmentioning

confidence: 99%

Application of Sensors for Incorrect Behavior Identification in a Transport System

Mantič

Kuľka

Grega

et al. 2023

Sensors

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This article focuses on cranes that are moving on a fixed crane track. There are specific problems and malfunctions arising during the operation of these cranes caused mainly by the crane skewing phenomenon. Crane skewing induces undesirable additional forces as a result of force contact between the crane wheel flange and the head of the crane track rail. This negative phenomenon induces additional stress in the crane construction as well as wear of the crane components and, finally, a global reduction of the crane operational durability and reliability. There is described in this article a methodology and data processing for the experimental measurement targeted on the crane skewing, namely in the case of a bridge crane installed in a laboratory. The crane skewing phenomenon was experimentally induced by an intentional disruption of speed synchronization of the crane travel drives. The intensity of the crane skewing was measured by means of the strain gauge sensors. A suitable application of the measuring sensors, together with the utilization of the drive control algorithm, enables efficiency to eliminate crane skewing and also prevent its occurrence.

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Travelling Resistance Determination of a Bridge Crane by Statistical Methods

Kovalenko,

Zhuravel,

Stryzhak

et al. 2024

АіТ

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The article proposes a new approach to solving the scientific and practical problem of automating the calculation of technical parameters of general-purpose overhead cranes. The parameters of operating cranes are presented in tabular form in the form of statistical data. The hypotheses of mathematical statistics were applied, which allowed the results to be distributed according to the normal law under the assumption of equal accuracy of the data obtained. Using these assumptions, the method of least squares was applied and a function of two variables was constructed, which establishes the dependence of crane movement resistance on span and lifting capacity, combining these indicators. An expression is obtained that allows calculating the static resistance to movement by software. The advantages of the proposed approach to determining the parameters of lifting machines are shown.

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Detection of mechanical stress in the steel structure of a bridge crane

Cited by 8 publications

References 5 publications

Monte‐Carlo simulation‐based analysis for structural reliability of the crane rail beam under stochastic crane movements and irradiation conditions

Monte‐Carlo simulation‐based analysis for structural reliability of the crane rail beam under stochastic crane movements and irradiation conditions

Application of Sensors for Incorrect Behavior Identification in a Transport System

Travelling Resistance Determination of a Bridge Crane by Statistical Methods

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