Applied Ocean Research最新文献_第5页

Temperature-dependency and boundary condition impacts on the multiscale vibrational behavior of laminated nested dual conical shell structure semi-AUV applications

IF 4.3 2区工程技术

Applied Ocean Research Pub Date : 2025-01-01 DOI: 10.1016/j.apor.2025.104425

Moein A. Ghandehari, Amir R. Masoodi, Ehsan Seyedi Hosseininia

{"title":"Temperature-dependency and boundary condition impacts on the multiscale vibrational behavior of laminated nested dual conical shell structure semi-AUV applications","authors":"Moein A. Ghandehari, Amir R. Masoodi, Ehsan Seyedi Hosseininia","doi":"10.1016/j.apor.2025.104425","DOIUrl":"10.1016/j.apor.2025.104425","url":null,"abstract":"<div><div>This investigation examines the vibrational behavior of a novel shell structure, nested dual conical shells (NDCSs), and a truncated conical shell (TCS) under varying thermal conditions. The conical shells are composed of two parts, matrix and reinforcement. Polymethyl methacrylate (PMMA) employed as the matrix and single-walled carbon nanotubes (SWCNTs) considered as reinforcement, with mechanical properties that are influenced by ambient temperature. Considering the rule of mixtures (RoM), the tantamount mechanical characteristics of these smart composite materials (SCM) are determined, leading to the development of a comprehensive mathematical model. The First-Order Shear Deformation Theory (FSDT) and Donnell's approach are applied to establish the relationship between forces and strains. Subsequently, Hamilton's principal is used to derive governing deferential equations (GDEs) of NDCSs and TCS. The GDEs are solved through a numerical approach, called Generalized Differential Quadrature Method (GDQM). This research incorporates the boundary conditions (BCs) through the implementation of arbitrary constraints, allowing for an in-depth examination of the relationship between boundary stiffness and the natural frequency parameters (NFP) of NDCSs. The findings reveal that the NFP depend considerably on the distribution and volume of nanofillers, as well as the orientation of nanofillers under different thermal conditions. Numerical analyses show that as the temperature increases, the NFP decreases. Additionally, the results highlight that the highest NFP occur at specific reinforcer orientations, such as 60°, 120°, 240°, and 300° for the first mode, while 90° and 270° yield peak values for higher modes. The analysis reveals unique vibrational phenomena specific to the NDCSs structure, including the significant role of middle tier springs' stiffness, which governs the NFP behavior within a specific stiffness range.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"154 ","pages":"Article 104425"},"PeriodicalIF":4.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143166410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Numerical investigation of cavitation induced noise and noise reduction mechanism for the leading-edge protuberances

IF 4.3 2区工程技术

Applied Ocean Research Pub Date : 2025-01-01 DOI: 10.1016/j.apor.2024.104361

Tianyang Hou , Xinran Liu , Zhixing Li , Yana Wang , Tairan Chen , Biao Huang

{"title":"Numerical investigation of cavitation induced noise and noise reduction mechanism for the leading-edge protuberances","authors":"Tianyang Hou , Xinran Liu , Zhixing Li , Yana Wang , Tairan Chen , Biao Huang","doi":"10.1016/j.apor.2024.104361","DOIUrl":"10.1016/j.apor.2024.104361","url":null,"abstract":"<div><div>Cavitation leads to an increase in noise for high-speed ships, propellers, etc., which exacerbates ocean noise pollution. The objectives of this paper are to investigate the sound generation mechanism of cavitation noise and explore the noise reduction mechanism for the leading-edge protuberances. The large eddy simulation (LES) and the Zwart cavitation model were used to predict the unsteady cavitating flow around the National Advisory Committee for Aeronautics (NACA) 0012 baseline hydrofoil and the modified hydrofoil with the leading-edge protuberances. The load noise was predicted using the Ffowcs Williams–Hawkings (FW-H) acoustic simulation method from the flow field results, while the cavitation noise was calculated using the Sound radiation theory for spherical cavity. The noise reduction characteristics were analyzed in combination with the evolution characteristics of cavities and vortices. The leading-edge protuberances prevent the formation of large-scale shedding vortices, significantly reducing the pressure fluctuation amplitude on the suction surface of the hydrofoil. The flow instability and cavity collapse become the major sources of noise when cavitation occurs. Cavitation not only leads to an increase in radiated noise but also affects the characteristic frequency of noise. The modified hydrofoil effectively suppresses the formation and development of cavities, reducing cavitation instability. The modified hydrofoil can effectively reduce monophonic noise in low-frequency bands, resulting in a reduction of approximately 10.5 dB in peak monophonic noise. The high-frequency broadband noise between 300 and 500 Hz is reduced by approximately 7.58 dB. This research provides a reference for noise reduction optimization of hydraulic machinery.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"154 ","pages":"Article 104361"},"PeriodicalIF":4.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143166909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effects of the inlet gas volume fraction on the structural dynamic characteristics of gas‒liquid multiphase pumps

IF 4.3 2区工程技术

Applied Ocean Research Pub Date : 2025-01-01 DOI: 10.1016/j.apor.2024.104347

Xin Wu, Guojun Zhu, Jianjun Feng, Xingqi Luo

{"title":"Effects of the inlet gas volume fraction on the structural dynamic characteristics of gas‒liquid multiphase pumps","authors":"Xin Wu, Guojun Zhu, Jianjun Feng, Xingqi Luo","doi":"10.1016/j.apor.2024.104347","DOIUrl":"10.1016/j.apor.2024.104347","url":null,"abstract":"<div><div>The inlet gas volume fraction (IGVF) has a significant impact on the performance of the gas‒liquid multiphase pump. To explore the effects of different IGVFs on the performance of gas–liquid multiphase pump, it is taken as the research object and the deformation and stress of the impeller and pump shaft under pure water and different IGVFs are obtained. The results show that the maximum deformation of the impeller occurs at the blade trailing edge. The maximum deformation of the impeller under 20%, 30% IGVF is reduced by 9.97% and 16.79% compared to 10% IGVF, respectively. The maximum deformation of the pump shaft is decreased by 0.15% and 0.26%, respectively. The stress of the impeller at the connection between the blade trailing edge and the hub is the largest. The maximum stress of the impeller at 20% and 30% IGVF is reduced by 310 Pa and 600 Pa compared to 10% IGVF, respectively. The radial force and the axis trace are uniformly under pure water and are chaotic under different IGVFs. Under pure water condition, the maximum deformation and stress fluctuation on the impeller and shaft is smaller than that under different IGVFs. The amplitude of maximum deformation fluctuation on the impeller and shaft becomes smaller with the increasing IGVF.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"154 ","pages":"Article 104347"},"PeriodicalIF":4.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143166913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Study on stress prediction model of EH36 steel in polar environments: Optimization of basis functions using adaptive genetic algorithm and simulated annealing

IF 4.3 2区工程技术

Applied Ocean Research Pub Date : 2025-01-01 DOI: 10.1016/j.apor.2024.104402

Hegang Ji, Jian Zhang, Shi Hua, Renwei Liu, Sanxia Shi

{"title":"Study on stress prediction model of EH36 steel in polar environments: Optimization of basis functions using adaptive genetic algorithm and simulated annealing","authors":"Hegang Ji, Jian Zhang, Shi Hua, Renwei Liu, Sanxia Shi","doi":"10.1016/j.apor.2024.104402","DOIUrl":"10.1016/j.apor.2024.104402","url":null,"abstract":"<div><div>As global temperatures rise, the Arctic route—a vital maritime corridor connecting Asia, Europe, and North America—is increasingly becoming a focus of international shipping. However, the extreme low-temperature environment of the Arctic presents significant challenges to the mechanical properties of shipbuilding steel, especially in marine engineering and ship design. This study investigates the mechanical behavior of polar-grade EH36 shipbuilding steel across a temperature range from -40 °C to 20 °C and strain rates from 0.00037/s to 5000/s, introducing an innovative approach for accurately predicting stress under these conditions. Comprehensive experimental data were obtained through a combination of quasi-static, low strain rate tensile tests, and high strain rate Split Hopkinson Pressure Bar tests. A stress prediction model was developed by integrating adaptive genetic algorithms and simulated annealing to optimize basis functions, enabling precise predictions across a wide spectrum of temperatures and strain rates. Model validation results demonstrate that the prediction error remains within 6 % under moderate strain rates from 1/s to 200/s, highlighting the model's high accuracy and broad applicability. This model not only overcomes the limitations of traditional experimental and interpolation methods but also provides essential data for the design and material selection of polar icebreaking ships, offering an efficient tool for engineers in extreme environments. These findings contribute to enhancing the performance and safety of vessels operating in polar regions.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"154 ","pages":"Article 104402"},"PeriodicalIF":4.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143166947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Failure modes and inclined bearing capacity of a modified suction caisson in sand

IF 4.3 2区工程技术

Applied Ocean Research Pub Date : 2025-01-01 DOI: 10.1016/j.apor.2025.104416

Yun Bai , Dayong Li

{"title":"Failure modes and inclined bearing capacity of a modified suction caisson in sand","authors":"Yun Bai , Dayong Li","doi":"10.1016/j.apor.2025.104416","DOIUrl":"10.1016/j.apor.2025.104416","url":null,"abstract":"<div><div>Experiments and simulations are undertaken on the bearing behavior of a modified suction caisson (MSC) in sand under inclined load. Results show that the MSC movement modes include forward rotation, backward rotation, translations mainly along the horizontal and vertical directions. When the MSC rotates forward, the earth pressure generated by the upper soil in front of the MSC plays an important part of the capacity. The lower passive earth pressure is crucial when the backward rotation occurs. When the MSC mainly moves horizontally, the soil in front of the MSC is entirely aroused. For the MSC mainly translates vertically, the passive suction is an important part of the bearing capacity. Moreover, the earth pressure induced by the soil in front of the external structure cannot be ignored when the MSC rotates forward and moves horizontally. In addition, the inclined loading rate shows a significant impact on the inclined bearing behavior. In the case of rotation occurring, both the earth pressure and passive suction display positive correlations with the loading rate. As loading rate increases, the increment of passive suction for forward rotation is greater than that for backward rotation, while the increment of earth pressure is greater for backward rotation.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"154 ","pages":"Article 104416"},"PeriodicalIF":4.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143166954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Size effects on the in-situ compressive behavior of first-year sea ice

IF 4.3 2区工程技术

Applied Ocean Research Pub Date : 2025-01-01 DOI: 10.1016/j.apor.2024.104395

Yan Huang , Jiale Han , Jianqiao Sun , Tong Zhao

引用次数: 0

Deep learning-based landslide tsunami run-up prediction from synthetic gage data

IF 4.3 2区工程技术

Applied Ocean Research Pub Date : 2025-01-01 DOI: 10.1016/j.apor.2024.104360

Mustafa Açıkkar , Baran Aydın

{"title":"Deep learning-based landslide tsunami run-up prediction from synthetic gage data","authors":"Mustafa Açıkkar , Baran Aydın","doi":"10.1016/j.apor.2024.104360","DOIUrl":"10.1016/j.apor.2024.104360","url":null,"abstract":"<div><div>The present study proposes a deep learning model based on Long-Short Term Memory (LSTM) that uses gage measurements for prediction of landslide-driven maximum tsunami run-up. In an attempt to overcome the limitation of insufficient real-world data in the field, our methodology refers to analytical models to create a comprehensive dataset employing a time series recorded from an offshore gage as input and its corresponding maximum run-up at the shoreline as output, for different landslide scenarios with pre-determined parameters. The LSTM-based model is then trained using this dataset in order to predict the maximum run-up. The results, with mean values of 0.211 m, 0.149 m, 1.745% and 0.9988 for <em>RMSE</em>, <em>MAE</em>, <em>MAPE</em> and <span><math><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span>, respectively, indicate that our model is both accurate and precise. As the data-driven models such as the one proposed here are often utilized to identify relationships that may not be immediately apparent from the physical models alone, our interdisciplinary approach has the potential to foster the development of innovative solutions and methodologies for addressing complex natural hazards by enhancing early warning systems, preparedness and response to tsunamis.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"154 ","pages":"Article 104360"},"PeriodicalIF":4.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143166999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-fidelity strength monitoring method for dynamic response of deep-sea pipelines based on digital-twin technology

IF 4.3 2区工程技术

Applied Ocean Research Pub Date : 2025-01-01 DOI: 10.1016/j.apor.2025.104414

Jianxing Yu , Zihang Jin , Yang Yu , Qiang Shao , Yefan Su , Zhenmian Li , Ruilong Gao , Hanxu Tian

{"title":"Multi-fidelity strength monitoring method for dynamic response of deep-sea pipelines based on digital-twin technology","authors":"Jianxing Yu , Zihang Jin , Yang Yu , Qiang Shao , Yefan Su , Zhenmian Li , Ruilong Gao , Hanxu Tian","doi":"10.1016/j.apor.2025.104414","DOIUrl":"10.1016/j.apor.2025.104414","url":null,"abstract":"<div><div>Cost-effective structural monitoring of deep-sea pipelines in harsh environments is essential for advancing deep-sea oil and gas development. This paper presents a multi-fidelity monitoring method for deep-sea pipelines based on digital twin (DT) model, applied to dynamic response monitoring under high pressure and forced vibration. This method integrates low-fidelity (LF) data from numerical simulations—clustered using the Hierarchical Geodesic K-means++ (HG-kmeans++) method—with high-fidelity (HF) data from full-scale pipeline tests. A pre-training model is developed using XGBoost based on LF data, and a DT model is established via the XGBoost-based Stacking-CGAN (XS-CGAN) method by integrating multi-fidelity data. A case study involving full-scale experiment demonstrates that the proposed approach significantly enhances both global and local accuracy. Compared to finite element analysis (FEA), the RRMSE and RE<sub>max</sub> improve by 40 % and 55.61 % respectively, outperforming current advanced method by 5.14 % and 3.79 %. These findings demonstrate the method's practical value for structural monitoring of deep-sea pipelines.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"154 ","pages":"Article 104414"},"PeriodicalIF":4.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143166405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Semi-supervised learning network for deep-sea nodule mineral image segmentation

IF 4.3 2区工程技术

Applied Ocean Research Pub Date : 2025-01-01 DOI: 10.1016/j.apor.2024.104356

Zhongjun Ding , Chen Liu , Xingyu Wang , Guangyang Ma , Chanjuan Cao , Dewei Li

{"title":"Semi-supervised learning network for deep-sea nodule mineral image segmentation","authors":"Zhongjun Ding , Chen Liu , Xingyu Wang , Guangyang Ma , Chanjuan Cao , Dewei Li","doi":"10.1016/j.apor.2024.104356","DOIUrl":"10.1016/j.apor.2024.104356","url":null,"abstract":"<div><div>The accurate segmentation of deep-sea nodule mineral images is crucial for scientific mining. However, due to the low contrast of deep-sea images and the varying sizes of nodule minerals, existing methods are not effective in segmenting these images. Furthermore, fully supervised deep learning methods require numerous labelled images for training, and labelling deep-sea nodule mineral images is highly difficult, resulting in a scarcity of available labeled images, which limits the model generalization ability. To address these challenges, a semi-supervised learning network for deep-sea nodule image segmentation (NmiNet) was proposed. In this method, a semi-supervised training paradigm based on underwater image enhancement perturbation and uncertainty weighted optimization (UEUO) was designed. This paradigm enabled the model to fully mine the features in many unlabeled nodule mineral images under the condition of few labelled nodule mineral images, improving the model generalization ability. Moreover, a lightweight global and local feature extraction (GLFE) module was designed to enhance the attention of the module to small nodules, and its ability to locate nodules of different scales by fusing local and global features without considerably increasing model complexity. Experimental results on deep-sea nodule mineral images reveal that this method outperforms existing approaches.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"154 ","pages":"Article 104356"},"PeriodicalIF":4.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143166908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Polyester line damage assessment considering fatigue and abrasion

IF 4.3 2区工程技术

Applied Ocean Research Pub Date : 2025-01-01 DOI: 10.1016/j.apor.2024.104376

Hongsheng Yan, Tongyu Jia, Jianxing Yu

引用次数: 0