Simulation of vehicle body spot weld failures due to fatigue by considering road roughness and vehicle velocity

Farrahi, G.H.; Ahmadi, Alireza; Kasyzadeh, K. Reza

doi:10.1016/j.simpat.2020.102168

Cited by 35 publications

(23 citation statements)

References 18 publications

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“…The use of optimization methods based on the genetic algorithms is very helpful in solving complex problems with many parameters, and fortunately this method is constantly being updated [77,78]. Joints, especially welds, are the most sensitive parts that are prone to failure [79][80][81]. In other words, stress concentration, which is a destructive factor in fatigue life, causes the connection, especially tubular joints (TJ), to fail.…”

Section: Reliability and Failure Probabilitymentioning

confidence: 99%

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A Comprehensive Review on Design, Monitoring, and Failure in Fixed Offshore Platforms

Amiri

Shaterabadi

Kashyzadeh

et al. 2021

JMSE

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Offshore platforms have had diverse applications in the marine industry, for example, oil or gas platforms can provide facilities to store the oil and gas before transport those to refineries. Offshore wind turbines are another well-known use of the offshore platform for generating power. As platforms encounter various strong forces from water and wind currents, the materials used for these structures are mainly steel or concrete. These platforms are classified into different types, according to the depth of water and their applications. In addition, offshore platforms, as artificial reefs may be used for decades at different marine conditions. Consequently, their design and maintenance are very important, otherwise, they can cause irreparable damage to the environment. This paper presents the latest and most significant design and monitoring methods, such as the optimal probabilistic seismic demand model, multi-objective optimization, dynamic response assessment, robust fault-tolerant control, etc., under different environmental and geographical conditions. Moreover, the effective factors on the life and failure of these offshore structures are comprehensively introduced to enhance awareness of them, which can be very helpful to improve the design and construction of more reliable and durable structures.

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Section: Reliability and Failure Probabilitymentioning

confidence: 99%

“…This requires extensive research on this subject, and scholars will pay more attention to it. Joints, especially welds, are the most sensitive parts that are prone to failure [79][80][81]. In other words, stress concentration, which is a destructive factor in fatigue life, causes the connection, especially tubular joints (TJ), to fail.…”

mentioning

confidence: 99%

A Comprehensive Review on Design, Monitoring, and Failure in Fixed Offshore Platforms

Amiri

Shaterabadi

Kashyzadeh

et al. 2021

JMSE

View full text Add to dashboard Cite

show abstract

“…Defects in gravel pavement have been shown to result in a decrease in driving speed, comfort, and friction [29,30], as well as an increase in vehicle chassis damage [31]. Wavelength and the spatial frequency of road pavement characterise irregularities and a texture effect on vehicle dynamic response.…”

Section: Related Workmentioning

confidence: 99%

Variability of Gravel Pavement Roughness: An Analysis of the Impact on Vehicle Dynamic Response and Driving Comfort

et al. 2021

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Gravel pavement has lower construction costs but poorer performance than asphalt surfaces on roads. It also emits dust and deforms under the impact of vehicle loads and ambient air factors; the resulting ripples and ruts constantly deepen, and therefore increase vehicle vibrations and fuel consumption, and reduce safe driving speed and comfort. In this study, existing pavement quality evaluation indexes are analysed, and a methodology for adapting them for roads with gravel pavement is proposed. We report the measured wave depth and length of gravel pavement profile using the straightedge method on a 160 m long road section at three stages of road utilization. The measured pavement elevation was processed according to ISO 8608, and the frequency response of a vehicle was investigated using simulations in MATLAB/Simulink. The international roughness index (IRI) analysis showed that a speed of 30–45 km/h instead of 80 km/h provided the objective results of the IRI calculation on the flexible pavement due to the decreasing velocity of a vehicle’s unsprung mass on a more deteriorated road pavement state. The influence of the corrugation phenomenon of gravel pavement was explored, identifying specific driving safety and comfort cases. Finally, an increase in the dynamic load coefficient (DLC) at a low speed of 30 km/h on the most deteriorated pavement and a high speed of 90 km/h on the middle-quality pavement demonstrated the demand for timely gravel pavement maintenance and the complicated prediction of a safe driving speed for drivers. The main relevant objectives of this study are the adaptation of a road roughness indicator to gravel pavement, including the evaluation of vehicle dynamic responses at different speeds and pavement deterioration states.

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“…Defects of the gravel pavement causes the decrease of driving speed, comfort and friction [29,30], intensify vehicle chassis damage [31]. Wavelength and the spatial frequency of road pavement characterise irregularities and a texture effect on vehicle response.…”

Section: Related Workmentioning

confidence: 99%

Variability of Gravel Pavement Roughness: Analysis of the Impact on Vehicle Response and Driving Comfort

Žuraulis¹,

Sivilevičius²,

Šabanovič³

et al. 2021

Preprint

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The gravel road pavement has a lower construction cost but poorer performance than the asphalt surface. It also emits dust and deforms under the impact of vehicle loads and ambient air factors. The resulting ripples and ruts are constantly deepening, increasing vehicle vibrations and fuel consumption, reducing safe driving speed and comfort. In this article, existing pavement quality evaluation indexes are analysed, and a methodology for their adaptation for roads with gravel pavement is proposed. This article reports the measured wave depth and length of the gravel pavement profile by the straightedge method of a 160 m long road section in three road exploitation stages. The measured pavement elevation was processed according to ISO 8608, and vehicle frequency response has been investigated using simulations in MATLAB/Simulink. The applied International Roughness Index (IRI) analysis showed that a speed of 30-45 km/h instead of 80 km/h provides the objective results of IRI calculation on the flexible pavement due to a decreasing velocity of vehicle's unsprung mass on a more deteriorated road pavement state. The influence of the corrugation phenomenon of gravel pavement has been explored, identifying specific driving safety and comfort cases. Finally, an increase in the Dynamic Load Coefficient (DLC) at a low speed of 30 km/h on the most deteriorated pavement and a high speed of 90 km/h on the middle-quality pavement demonstrates the demand for timely gravel pavement maintenance and the complicated prediction of a safe driving speed for drivers.

show abstract

Simulation of vehicle body spot weld failures due to fatigue by considering road roughness and vehicle velocity

Cited by 35 publications

References 18 publications

A Comprehensive Review on Design, Monitoring, and Failure in Fixed Offshore Platforms

A Comprehensive Review on Design, Monitoring, and Failure in Fixed Offshore Platforms

Variability of Gravel Pavement Roughness: An Analysis of the Impact on Vehicle Dynamic Response and Driving Comfort

Variability of Gravel Pavement Roughness: Analysis of the Impact on Vehicle Response and Driving Comfort

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