Evaluation of flexible floating anti-collision device subjected to ship impact using finite-element method

Wang, J.J.; Song, Yanchen; Wang, W.; Chen, C.J.

doi:10.1016/j.oceaneng.2019.03.005

Cited by 35 publications

(4 citation statements)

References 17 publications

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“…The phenomenon is attributed to the number of internal honeycombs, that enhances the interaction between the honeycombs and the energy absorbing and deformation buffering effects [27]. However, after exceeding the threshold, the structure would turn into an over-dispersed phase, weakening its force performance.…”

Section: Hexagon Quantity Comparisonmentioning

confidence: 99%

“…Moreover, the influence of hexagon quantity configuration upon fracture resistance is concluded. When the number of honeycombs inside the crash pier increases from three to seven, the effect of its internal arrangement on the structure will be eliminated, with a decreased Mises stress difference, from 9% to 3.2%.The phenomenon is attributed to the number of internal honeycombs, that enhances the interaction between the honeycombs and the energy absorbing and deformation buffering effects[27]. However, after exceeding the threshold, the structure would turn into an over-dispersed phase, weakening its force performance.…”

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confidence: 99%

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Mechanical Strength and Energy Absorption Optimization of Biomimetic Honeycomb Anti-Collision Pier

Wei

Wang

et al. 2022

Buildings

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The anti-collision pier plays an irreplaceable role in road traffic protection due to its significance. In this research, the biomimetic honeycomb structure was applied to internal anti-collision pier interior structures. The enhancement of mechanical strength and energy absorption characteristics was explored and optimized by five anti-collision pier honeycomb structures. Finite elements of the piers are designated as 650 mm in diameter and 850 mm in height. Polypropylene Acetate (PLA) material is utilized in this research due to its environment-friendly characteristics. Displacement loading in finite element simulation is 50 mm to the middle region of the model at YOZ direction. The energy-absorbing properties of five optimized honeycomb anti-collision piers at the same force position will be carefully compared. Moreover, the influence of internal hexagon direction-quantity configuration upon loading resistance under displacement loading is outlined. The results determined the best biomimetic structure to be three honeycomb shapes with a central triangle area, with maximum stress of 503.8 MPa and fracture displacement of 58.02 mm. Furthermore, the numerical simulation shows that the number of nest increases has a negative relationship with the effect upon force and deformation of the model. Moreover, the triangular central area is superior to the Y-shape central area in both mechanical strength and energy absorption performance.

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Section: Hexagon Quantity Comparisonmentioning

confidence: 99%

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confidence: 99%

Mechanical Strength and Energy Absorption Optimization of Biomimetic Honeycomb Anti-Collision Pier

Wei

Wang

et al. 2022

Buildings

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“…Passive collision prevention methods [ 2 , 3 , 4 ] can mitigate the damage caused by vessel-bridge collisions but cannot entirely prevent the occurrence of such collisions. This study focuses on active collision prevention methods, which significantly reduce the probability of vessel-bridge collisions by providing warnings to vessels at high risk of collision.…”

Section: Introductionmentioning

confidence: 99%

Video-Based Identification and Prediction Techniques for Stable Vessel Trajectories in Bridge Areas

Luo,

Xia,

2024

Sensors

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In recent years, the global upswing in vessel-bridge collisions underscores the vital need for robust vessel track identification in accident prevention. Contemporary vessel trajectory identification strategies often integrate target detection with trajectory tracking algorithms, employing models like YOLO integrated with DeepSORT or Bytetrack algorithms. However, the accuracy of these methods relies on target detection outcomes and the imprecise boundary acquisition method results in erroneous vessel trajectory identification and tracking, leading to both false positives and missed detections. This paper introduces a novel vessel trajectory identification framework. The Co-tracker, a long-term sequence multi-feature-point tracking method, accurately tracks vessel trajectories by statistically calculating the translation and heading angle transformation of feature point clusters, mitigating the impact of inaccurate vessel target detection. Subsequently, vessel trajectories are predicted using a combination of Long Short-Term Memory (LSTM) and a Graph Attention Neural Network (GAT) to facilitate anomaly vessel trajectory warnings, ensuring precise predictions for vessel groups. Compared to prevalent algorithms like YOLO integrated with DeepSORT, our proposed method exhibits superior accuracy and captures crucial heading angle features. Importantly, it effectively mitigates the common issues of false positives and false negatives in detection and tracking tasks. Applied in the Three Rivers area of Ningbo, this research provides real-time vessel group trajectories and trajectory predictions. When the predicted trajectory suggests potential entry into a restricted zone, the system issues timely audiovisual warnings, enhancing real-time alert functionality. This framework markedly improves vessel traffic management efficiency, diminishes collision risks, and ensures secure navigation in multi-target and wide-area vessel scenarios.

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“…Due to this, several approaches to enhance the safety of vessel navigation have been proposed by many scholars to improve safety. For instance, bridge collisions, such as in the paper [5], in which several safety measures for collisions are proposed [6] to minimize the impact of vessel collisions with bridges,…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Multi-Layer Fender Design under Impacted Vessel

Okello

2023

Preprint

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The design of water Vessel fender system can minimize impact energy, which could result in severe vessel or offshore structure damage during collision. In order to protect Offshore structures and vessels from damage after impact, a Fender design approach is proposed which uses Soft materials like rubber, sand, inflated rubber tube, etc. to reduce damage on impacted vessels as well as offshore structures like wind turbines, bridges, oil drilling platforms in water etc. The fender is designed in such a way that it can handle vessels made of different material, sizes, and weights.The proposed solution is a fender consisting of a number of layers of soft sandwich materials, each layer getting softer as it moves away from the structure i.e. Hard-Soft fender design which can absorb impact energy upon collision. To handle lighter vessels made of soft or brittle materials, the outer layer is made of inflatable or Very soft foam rubber; however, the inner layer covering the offshore structure is made of hard material to handle heavy vessels made of hard material such as steel. Furthermore, the use of sand as a natural fender along waterways such as narrow channels is also proposed to reduce the cost of fender installation and catastrophic vessel impact damage on rocky ground since it produces less deformation just like rubber fender as demonstrated in the simulation. Finite Element Analysis using ANSYS software, Explicit Dynamic Autodyn, was performed. The results showed a considerable decrease in the total deformation and internal energy of the vessel and fended structure when collision occurs. Furthermore, the result showed that Hard-Soft fender layer performs much better than Soft-Hard-Soft followed by Soft-Hard Fender layer design.

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Evaluation of flexible floating anti-collision device subjected to ship impact using finite-element method

Cited by 35 publications

References 17 publications

Mechanical Strength and Energy Absorption Optimization of Biomimetic Honeycomb Anti-Collision Pier

Mechanical Strength and Energy Absorption Optimization of Biomimetic Honeycomb Anti-Collision Pier

Video-Based Identification and Prediction Techniques for Stable Vessel Trajectories in Bridge Areas

Performance Analysis of Multi-Layer Fender Design under Impacted Vessel

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