Thermal post-buckling behavior of oil storage tanks under a nearby fire

Jaca, Rossana C.; Godoy, Luis A.; Calabró, Horacio D.; Espinosa, S.

doi:10.1016/j.ijpvp.2020.104289

Cited by 11 publications

(2 citation statements)

References 27 publications

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“…Researchers have frequently studied thermal buckling analysis of functionally graded plates [7][8][9][10], as well as thermal buckling in structures composed of composite materials [11,12], among other related works. Moreover, in various industrial sectors such as pipeline industry [13,14], aerospace engineering [15,16], oil refineries [17,18], and nuclear engineering [19], the buckling of thin plates caused by thermal loads has garnered significant attention in the design and analysis of engineering structures.…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation of thermal buckling and post-buckling behavior of an EN AW 6016-T4 car roof assembled in a steel body-in-white

da Silva,

Cellard,

Geslain

et al. 2023

Mechanics & Industry

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The automotive industry is undergoing significant changes driven by factors such as reducing carbon dioxide emissions, advancing technology, evolving regulations, and the emergence of new energy sources. Lightweight materials, particularly aluminum alloys, are being extensively researched and integrated into vehicles to reduce weight and improve performance. However, the heating process during vehicle production can cause thermal buckling in thin aluminum alloy structures, affecting their appearance and quality. While thermal buckling has been studied in other industries, research in the automotive sector, particularly for non-structural parts like car roofs, is limited. This study uses numerical simulation to predict thermal buckling and post-buckling behavior of a EN AW 6016-T4 alloy car roof assembled in a predominantly steel body-in-white. The research findings indicate that roof buckling occurs at a relatively low temperature difference of approximately 60 °C, which is lower than the maximum temperatures experienced during the painting phases in the automotive industry. Consequently, undulations in the roof's shape become apparent, underscoring the importance of design modifications to ensure visual conformity. Validation through physical testing confirms the model's accuracy, providing valuable insights for designing lightweight structures with improved performance and aesthetics.

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Section: Introductionmentioning

confidence: 99%

Numerical investigation of thermal buckling and post-buckling behavior of an EN AW 6016-T4 car roof assembled in a steel body-in-white

da Silva,

Cellard,

Geslain

et al. 2023

Mechanics & Industry

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“…As the process pipelines in the tank area are various and complex, and most of the storage media are hazardous chemicals with flammable and explosive characteristics, once leakage occurs, fire and explosion accidents are likely to occur [ 2 , 3 , 4 ]. The thermal radiation [ 5 , 6 ], explosion overpressure [ 7 , 8 ] and explosion debris [ 9 ] generated by these initial events, as well as the interaction between them, often lead to cascading domino accidents, causing serious casualties and property losses [ 10 ]. Research also shows that domino accidents are more likely to occur in the storage process than in production, transportation and other links.…”

Section: Introductionmentioning

confidence: 99%

Study on Dynamic Probability and Quantitative Risk Calculation Method of Domino Accident in Pool Fire in Chemical Storage Tank Area

Meng

Wei

Zhou

et al. 2022

IJERPH

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The domino event caused by fire is one of the common accidents in hydrocarbon storage tank farms, which further expands the severity and scope of the accident. Due to the different failure sequence of the storage tanks in a domino accident, the radiant heat generated by the failed storage tank to the target tank is different. Based on the influence of this synergistic effect, this study combined the Monte Carlo algorithm and FSEM, and proposed a fast real-time probability calculation method for a fire domino accident in a storage tank area, for the first time. This method uses the Monte Carlo algorithm to simulate all accident scenarios, and obtains the evolution of multiple escalation fire domino accidents under the synergistic effect according to FSEM, and then calculates the real-time failure probability and risk. Based on a comprehensive analysis of the accident propagation path, this method avoids the problem of a large amount of calculation, and is conducive to the rapid and effective analysis of the fire risk in a storage tank area and the formulation of corresponding risk reduction measures. The effectiveness and superiority of the proposed method were proved by a case study.

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