Dynamic Performance and Crashworthiness Assessment of Honeycomb Reinforced Tubular Pipe in the Jacket Platform under Ship Collision

Lin, Hong; Han, Chang; Yang, Lei; Karampour, Hassan; Luan, Haochen; Han, Pingping; Hao, Xu; Zhang, Shuo

doi:10.3390/jmse10091194

Cited by 8 publications

(5 citation statements)

References 29 publications

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“…The honeycomb-reinforced pile structure in the collision scenario is displayed in Figure 3b. The validation, calibration and mesh sensitivity of the FEA is published in a previous study by the current authors [15].…”

Section: Fe Modelmentioning

confidence: 99%

“…In 2018, Gao et al [14] proposed a negative Poisson's ratio honeycomb structure with a double V-shaped cylindrical geometry, which can better absorb the impact energy and thus could provide better protection for the structure. In a different research work, Lin et al [15] studied the dynamical performance of the honeycombreinforced pipe leg with a hexagonal honeycomb and arrow honeycomb by using the numerical simulation software ANSYS/LS-DYNA.…”

Section: Introductionmentioning

confidence: 99%

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A Data-Driven Intelligent Prediction Approach for Collision Responses of Honeycomb Reinforced Pipe Pile of the Offshore Platform

Yang

Lin

Han

et al. 2023

JMSE

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The potential collision between the ship and the pipe piles of the jacket structure brings huge risks to the safety of an offshore platform. Due to their high energy-absorbing capacity, honeycomb structures have been widely used as impact protectors in various engineering applications. This paper proposes a data-driven intelligent approach for the prediction of the collision response of honeycomb-reinforced structures under ship collision. In the proposed model, the artificial neural network (ANN) is combined with the dynamic particle swarm optimization (DPSO) algorithm to predict the collision responses of honeycomb reinforced pipe piles, including the maximum collision depth (δmax) and maximum absorption energy (Emax). Furthermore, a data-driven evaluation method, known as grey relational analysis (GRA), is proposed to evaluate the collision responses of the honeycomb-reinforced pipe piles of offshore platforms. Results of the case study demonstrate the accuracy of the DPSO-BP-ANN model, with measured mean-square-error (MSE) of 5.06 × 10−4 and 4.35 × 10−3 and R2 of 0.9906 and 0.9963 for δmax and Emax, respectively. It is shown that the GRA method can provide a comprehensive evaluation of the performance of a honeycomb structure under impact loads. The proposed model provides a robust and efficient assessment tool for the safe design of offshore platforms under ship collisions.

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Section: Fe Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Data-Driven Intelligent Prediction Approach for Collision Responses of Honeycomb Reinforced Pipe Pile of the Offshore Platform

Yang

Lin

Han

et al. 2023

JMSE

Self Cite

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“…The aim of this research is to test the application of the proposed MFS protective device in offshore structures against repeated impacts caused by ships. OWT structures are prone to collisions with ships by the bow, stern, or side, as reported in [35,41]. The present study considers only a collision between an OWT and a ship bow.…”

Section: Introductionmentioning

confidence: 97%

“…An innovative Foam-filled Lattice Composite Bumper System (FLCBS) with fiberreinforced polymer (FRP) skins and a polyurethane foam-web core was proposed as a protective structure against ship collision for bridge piers [34]. Other authors proposed honeycomb structures to reinforce offshore platforms in case of collisions with ships [35].…”

Section: Introductionmentioning

confidence: 99%

Design of an Innovative Hybrid Sandwich Protective Device for Offshore Structures

Mozafari

Distefano

et al. 2022

JMSE

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Lightweight foam sandwich structures have excellent energy absorption capacity, combined with good mechanical properties and low density. The main goal of this study is to test the application of an innovative hybrid sandwich protective device in an offshore wind turbine (OWT). The results are useful for offshore structure applications. Different lightweight materials (aluminum foam, agglomerated cork, and polyurethane foam) were investigated using experimental tests and numerical simulations. Closed-cell aluminum foam showed the best performance in terms of the energy absorption capacity during an impact. As such, a Metallic Foam Shell (MFS) device was proposed for the fender of offshore wind turbines. A finite element model of a ship-OWT collision scenario was developed to analyze the response of a fender with the MFS device under repeated impacts. The proposed MFS fender can be used efficiently in a wide temperature range, allowing it to be used in harsh climatic conditions.

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“…As sandwich structures with lightweight metal cores exhibit excellent energy absorption and impact resistance, they have been widely used in the engineering field [14][15][16][17][18], resulting in an increasing number of investigations into the dynamic behavior of lightweight metal-core sandwich structures. Jing et al [19] conducted impact tests on metal foam sandwich beams (MFSBs) subjected to aluminum foam projectiles, and the dynamic impact process was recorded using a high-speed camera system.…”

Section: Introductionmentioning

confidence: 99%

Theoretical Analysis of Plastic Behavior of Sandwich Beam with Metal Foam under Repeated Impacts

Guo,

Mu,

Cai

et al. 2023

JMSE

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The phenomenon of repeated impacts on engineering structures is very common, especially in naval and ocean engineering. When marine structures are subjected to repeated impact loadings, deformation and damage will accumulate as the impact number increases, resulting in the failure and damage of the structures, even causing serious accidents. Based on the rigid-plastic assumption, a theoretical model is established to analyze the plastic mechanical behavior of metal foam sandwich beams (MFSBs) suffering from repeated impacts, in which the membrane factor method (MFM) is applied to derive analytical solutions for the plastic responses of MFSBs. The theoretical predictions agree well with the results of impact tests and numerical simulations, indicating that the theoretical model is accurate and reliable. In addition, the dynamic responses of MFSBs are analyzed based on the MFM, and the effects of the core strength and the face thickness on the deflection responses are determined. The results show that the dimensionless permanent deflection of MFSBs is sensitive to the core strength ratio and the face thickness ratio, and as the core strength ratio or the face thickness ratio increases, the dimensionless permanent deflection decreases gradually in an exponential form. In addition, the influence of the core strength ratio and face thickness ratio becomes more significant as the impact number increases. The proposed theoretical method can provide a theoretical reference and technical support for the design of metal foam sandwich structures with improved impact resistance under repeated impact loadings.

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Dynamic Performance and Crashworthiness Assessment of Honeycomb Reinforced Tubular Pipe in the Jacket Platform under Ship Collision

Cited by 8 publications

References 29 publications

A Data-Driven Intelligent Prediction Approach for Collision Responses of Honeycomb Reinforced Pipe Pile of the Offshore Platform

A Data-Driven Intelligent Prediction Approach for Collision Responses of Honeycomb Reinforced Pipe Pile of the Offshore Platform

Design of an Innovative Hybrid Sandwich Protective Device for Offshore Structures

Theoretical Analysis of Plastic Behavior of Sandwich Beam with Metal Foam under Repeated Impacts

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