Predicting the near field underwater explosion response of coated composite cylinders using multiscale simulations, experiments, and machine learning

Nayak, Sumeru; Lyngdoh, Gideon A.; Shukla, Arun; Das, Sumanta

doi:10.1016/j.compstruct.2021.115157

Cited by 10 publications

(4 citation statements)

References 62 publications

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“…Gauch's experiments on carbon fibre/epoxy hollow cylinders coated with polyurea showed significant damage reduction, particularly with thicker coatings, as illustrated in figure 9 (Gauch et al 2018). Nayak developed a machine learning algorithm to analyse the behaviour of polyurea-coated composite cylinders, concluding that such coatings' protective effects largely depend on their thickness (Nayak et al 2022).…”

Section: Polymer-coated Cylindersmentioning

confidence: 99%

“…Polyurea, for instance, will deteriorate under marine conditions, including exposure to saline water and UV radiation, potentially impacting its protective capabilities. Mforsoh's study investigated how these factors affect polyurea (Neba Mforsoh et al 2020). The research involved immersing polyurea samples in saline baths at various temperatures to understand the effect of temperature on water ingress.…”

Section: Exposure Of Polyurea To Marine Environmentsmentioning

confidence: 99%

“…2018). Nayak developed a machine learning algorithm to analyse the behaviour of polyurea-coated composite cylinders, concluding that such coatings’ protective effects largely depend on their thickness (Nayak et al. 2022).…”

Section: Damage Mitigationmentioning

confidence: 99%

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A review of underwater shock and fluid–structure interactions

Matos,

Galuska,

Javier

et al. 2024

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Underwater explosions are inherently complex and unique physical phenomena markedly distinct from those occurring above the surface. This distinctiveness is primarily attributed to the relatively incompressible nature of water, which fundamentally alters the propagation and impact of shock waves. The study of underwater explosions is paramount in applications such as underwater demolitions for construction and salvage operations. These applications require a comprehensive understanding in order to mitigate the disturbances’ impact on marine structures and ecosystems. Studying underwater explosions and their mitigation encompasses various disciplines, including fluid mechanics, materials science and structural engineering. The work reviewed in this study contributes significantly to enhancing safety measures in marine structures by providing critical insights into the behaviour of structures under extreme conditions. This includes understanding the behaviour of gas bubbles formed by explosions, the transmission of shock waves through different media and the resultant forces exerted on structures submerged in water. Consequently, this review is meant to aid in designing robust and resilient marine systems capable of withstanding severe loading conditions caused by underwater explosions by providing key engineering considerations. The continuous evolution of this research area is essential for advancing maritime technology, ensuring the safety of undersea operations and protecting marine environments from the adverse effects of extreme subaqueous loadings.

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Section: Polymer-coated Cylindersmentioning

confidence: 99%

Section: Exposure Of Polyurea To Marine Environmentsmentioning

confidence: 99%

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A review of underwater shock and fluid–structure interactions

Matos,

Galuska,

Javier

et al. 2024

Flow

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“…Peng et al [14] simulated the damage to and calculated the dynamic response of shell structures under near-field water explosions using SPH and RKPM coupling methods. Nayak et al [15] predicted the response of coated composite cylindrical shells under near-field water explosions by combining machine learning with high-flux multi-scale finite element (FE) simulation. Long et al [16] conducted a study on the nonlinear dynamic response of water explosions in double-curved shallow shell of functionally graded material (Sandwich-FGM) sandwich plates based on the first-order shear deformation theory.…”

Section: Introductionmentioning

confidence: 99%

Damage Characteristics and Dynamic Response of RC Shells Subjected to Underwater Shock Wave

Lin,

Zhou,

Zhao

et al. 2024

Applied Sciences

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Underwater bottom-sitting shell structures face threats from underwater explosion shock waves. To investigate the damage characteristics and dynamic response of bottom-sitting shell structures under underwater explosion shock waves, three-dimensional numerical models of semi-spherical and semi-cylindrical bottom-sitting reinforced concrete (RC) shells under underwater shock waves were established based on the Arbitrary Lagrangian–Eulerian (ALE) algorithm using LS-DYNA software. The influences of the shock wave transmission medium, explosive equivalent, explosive distance, hydrostatic pressure, and reinforcement on the damage characteristics and dynamic response of semi-spherical and semi-cylindrical bottom-sitting RC shell structures were studied. The results indicated that the damage and center vertical deformation of RC shells under underwater shock waves are significantly greater than those under air shock waves. With an increase in explosive equivalent or decrease in explosive distance, the damage and center vertical deformation of RC shells are increased. The damage to the inner surface of RC shells is more severe than the outer surface. The damage and center vertical deformation of RC shells can be reduced by bottom reinforcement and an increase in the diameter of the steel bar. The ‘hoop effect’ caused by hydrostatic pressure restrains the horizontal convex deformation and slightly decreases the macroscopic damage and vertical center deformation of the semi-spherical RC shell with an increase in hydrostatic pressure within the range of 0–2.0092 MPa. The hydrostatic pressure restrains the horizontal convex deformation of the semi-cylindrical RC shell. However, inward concave deformation of the shell center is increased by hydrostatic pressure, inducing an increase in the damage to and center vertical deformation of the semi-cylindrical RC shell. These findings may offer a reference for the construction and design of protective measures for underwater bottom-sitting shell structures.

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Machine Learning in Computer Aided Engineering

Montáns,

Cueto,

Bathe

2023

Computational Methods in Engineering &Amp; The Sciences

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The extraordinary success of Machine Learning (ML) in many complex heuristic fields has promoted its introduction in more analytical engineering fields, improving or substituting many established approaches in Computer Aided Engineering (CAE), and also solving long-standing problems. In this chapter, we first review the ideas behind the most used ML approaches in CAE, and then discuss a variety of different applications which have been traditionally addressed using classical approaches and that now are increasingly the focus of ML methods.

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Predicting the near field underwater explosion response of coated composite cylinders using multiscale simulations, experiments, and machine learning

Cited by 10 publications

References 62 publications

A review of underwater shock and fluid–structure interactions

A review of underwater shock and fluid–structure interactions

Damage Characteristics and Dynamic Response of RC Shells Subjected to Underwater Shock Wave

Machine Learning in Computer Aided Engineering

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