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Research on the wave dynamic response of the ship-type cage and its neural network prediction model
IF 4.6 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-02-04 DOI: 10.1016/j.oceaneng.2025.120594
Fukun Gui , Shun Zhang , Dahuang Jiang , Hongzhou Chen , Huayang Dong
The research concentrates on the dynamic response issue of the deep-sea ship-type aquaculture platform in the complex marine environment and proposes a rapid prediction model based on machine learning, which is capable of precisely predicting the structural safety status of the ship-type cage under severe wave conditions. Specifically, through establishing numerical models of ship - type cages with diverse structures, numerical simulation is employed to comprehensively analyze the hydrodynamic characteristics of the aquaculture platform, validating the accuracy of the numerical simulation through experiments, and then using the hydrodynamic numerical results as training data, an artificial neural network (ANN) model for early-warning of disaster-induced damage to the ship-type cage is successfully constructed. By utilizing the established ANN model, the hydrodynamic results of the cage under various wave conditions are predicted, including key indicators like the maximum tension of the cable and the maximum stress of the floating frame. Furthermore, the research also employs the grey correlation analysis method to effectively identify the dominant disaster-causing factors that lead to the occurrence of damage. Validation indicates that the prediction results are highly consistent with the experimental results, which is of crucial guiding significance for farmers to take preventive measures prior to disasters.
{"title":"Research on the wave dynamic response of the ship-type cage and its neural network prediction model","authors":"Fukun Gui ,&nbsp;Shun Zhang ,&nbsp;Dahuang Jiang ,&nbsp;Hongzhou Chen ,&nbsp;Huayang Dong","doi":"10.1016/j.oceaneng.2025.120594","DOIUrl":"10.1016/j.oceaneng.2025.120594","url":null,"abstract":"<div><div>The research concentrates on the dynamic response issue of the deep-sea ship-type aquaculture platform in the complex marine environment and proposes a rapid prediction model based on machine learning, which is capable of precisely predicting the structural safety status of the ship-type cage under severe wave conditions. Specifically, through establishing numerical models of ship - type cages with diverse structures, numerical simulation is employed to comprehensively analyze the hydrodynamic characteristics of the aquaculture platform, validating the accuracy of the numerical simulation through experiments, and then using the hydrodynamic numerical results as training data, an artificial neural network (ANN) model for early-warning of disaster-induced damage to the ship-type cage is successfully constructed. By utilizing the established ANN model, the hydrodynamic results of the cage under various wave conditions are predicted, including key indicators like the maximum tension of the cable and the maximum stress of the floating frame. Furthermore, the research also employs the grey correlation analysis method to effectively identify the dominant disaster-causing factors that lead to the occurrence of damage. Validation indicates that the prediction results are highly consistent with the experimental results, which is of crucial guiding significance for farmers to take preventive measures prior to disasters.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"322 ","pages":"Article 120594"},"PeriodicalIF":4.6,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Intelligent identification of the evolution process of damage on RC bridge piers under vessel collision considering multi-hazards
IF 4.6 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-02-04 DOI: 10.1016/j.oceaneng.2025.120434
Wei Wang, Shuai Wang, Jiahui Fu
Vessel collisions on bridge piers have become a potential threat to the safety of bridges crossing navigation waterways. Such collision will cause inevitable damage on bridge piers and hence reduce the performance of the whole structure. It is therefore critical to identify the condition of a bridge pier after a vessel collision event to judge whether it can still be used or certain rehabilitation is required to recover its normal operation. This paper develops an intelligent approach based on machine learning algorithms to identify the evolution process of damage on a bridge pier during collision using sensor-measured acceleration time-history data considering the effects of multi-hazards. A barge vessel is employed and a typical reinforced concrete (RC) bridge pier is considered in this study. A coupled vessel-pier collision model (CVCM) considering soil–pile interactions and material non-linearity of RC components is developed and employed to generate pseudo-experimental data to assess the accuracy of the proposed damage identification strategy. The results demonstrate the potential of the proposed strategy for intelligent damage identification of waterway-crossing bridge piers after vessel collision.
{"title":"Intelligent identification of the evolution process of damage on RC bridge piers under vessel collision considering multi-hazards","authors":"Wei Wang,&nbsp;Shuai Wang,&nbsp;Jiahui Fu","doi":"10.1016/j.oceaneng.2025.120434","DOIUrl":"10.1016/j.oceaneng.2025.120434","url":null,"abstract":"<div><div>Vessel collisions on bridge piers have become a potential threat to the safety of bridges crossing navigation waterways. Such collision will cause inevitable damage on bridge piers and hence reduce the performance of the whole structure. It is therefore critical to identify the condition of a bridge pier after a vessel collision event to judge whether it can still be used or certain rehabilitation is required to recover its normal operation. This paper develops an intelligent approach based on machine learning algorithms to identify the evolution process of damage on a bridge pier during collision using sensor-measured acceleration time-history data considering the effects of multi-hazards. A barge vessel is employed and a typical reinforced concrete (RC) bridge pier is considered in this study. A coupled vessel-pier collision model (CVCM) considering soil–pile interactions and material non-linearity of RC components is developed and employed to generate pseudo-experimental data to assess the accuracy of the proposed damage identification strategy. The results demonstrate the potential of the proposed strategy for intelligent damage identification of waterway-crossing bridge piers after vessel collision.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"322 ","pages":"Article 120434"},"PeriodicalIF":4.6,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A partitioned based algorithm for cohesive crack simulations subjected to fluid–structure interaction effects
IF 4.6 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-02-04 DOI: 10.1016/j.oceaneng.2025.120528
Gong Chen , Zhen Yue , Yifang Qin , Hanming Yang , Naoto Mitsume , Shunhua Chen
Currently, it remains a challenging task to accurately simulate progressive crack behaviors subjected to fluid–structure interaction (FSI) effects. In light of this, the main purpose of the present work is to develop a two-way partitioned based computational framework to account for dynamic fluid–structure–fracture interaction (FSFI) phenomena arising in ocean engineering. To achieve the end, in consideration of accuracy and robustness, the developed framework couples two grid-based methods, i.e., the finite volume method (FVM) and the explicit finite element method (FEM), to respectively describe fluid flows and structural deformations. The well-known arbitrary Lagrangian–Eulerian (ALE) method is utilized to handle interface motions of fluid–solid coupling in an effective manner. Progressive crack behaviors subjected to FSI effect are described with the aid of an intrinsic cohesive zone model (CZM) in the context of dynamic explicit finite element formulations. Considerable attention has been paid to integrate the aforementioned algorithms with consideration of efficient data mapping/communication, appropriate coupling schemes, and effective time-step synchronization. The accuracy and effectiveness of the developed computational framework are validated via three benchmark FSI tests considering hydrostatic pressure, steady fluid force, and hydrodynamic impact, as well as two mixed-mode crack tests. Finally, the capacity of the computational framework is further demonstrated with the applications to crack behaviors of an elastic plate and a gravity dam with initial cracks subjected to hydrostatic/hydrodynamic loads.
{"title":"A partitioned based algorithm for cohesive crack simulations subjected to fluid–structure interaction effects","authors":"Gong Chen ,&nbsp;Zhen Yue ,&nbsp;Yifang Qin ,&nbsp;Hanming Yang ,&nbsp;Naoto Mitsume ,&nbsp;Shunhua Chen","doi":"10.1016/j.oceaneng.2025.120528","DOIUrl":"10.1016/j.oceaneng.2025.120528","url":null,"abstract":"<div><div>Currently, it remains a challenging task to accurately simulate progressive crack behaviors subjected to fluid–structure interaction (FSI) effects. In light of this, the main purpose of the present work is to develop a two-way partitioned based computational framework to account for dynamic fluid–structure–fracture interaction (FSFI) phenomena arising in ocean engineering. To achieve the end, in consideration of accuracy and robustness, the developed framework couples two grid-based methods, i.e., the finite volume method (FVM) and the explicit finite element method (FEM), to respectively describe fluid flows and structural deformations. The well-known arbitrary Lagrangian–Eulerian (ALE) method is utilized to handle interface motions of fluid–solid coupling in an effective manner. Progressive crack behaviors subjected to FSI effect are described with the aid of an intrinsic cohesive zone model (CZM) in the context of dynamic explicit finite element formulations. Considerable attention has been paid to integrate the aforementioned algorithms with consideration of efficient data mapping/communication, appropriate coupling schemes, and effective time-step synchronization. The accuracy and effectiveness of the developed computational framework are validated via three benchmark FSI tests considering hydrostatic pressure, steady fluid force, and hydrodynamic impact, as well as two mixed-mode crack tests. Finally, the capacity of the computational framework is further demonstrated with the applications to crack behaviors of an elastic plate and a gravity dam with initial cracks subjected to hydrostatic/hydrodynamic loads.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"322 ","pages":"Article 120528"},"PeriodicalIF":4.6,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Risk factors extraction and analysis of Chinese ship collision accidents based on knowledge graph
IF 4.6 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-02-04 DOI: 10.1016/j.oceaneng.2025.120536
Jihong Chen , Chenglin Zhuang , Jia Shi , Houqiang Jiang , Jinyu Xu , Jutong Liu
Shipping is a crucial mode of transportation. The high density of ship activities in Chinese waters increases the likelihood and severity of shipping accidents, which can significantly impact the global supply chain and shipping network operations. Among various maritime accidents, collisions are the most prevalent. Knowledge graphs, using triples (entity-relation-entity) as basic units, describe real-world concepts and relationships through text information, which aid in the causal analysis of accidents. This paper analyzes text data from Chinese ship collision accident reports and employs joint triple extraction algorithms based on deep learning and CART (Classification and Regression Tree) algorithm to construct a knowledge graph of these accidents, visualized using Gephi software. Utilizing complex network theory, a series of safety-related topological indicators are defined to perform quantitative risk assessment, identify key risk factors, and propose preventive measures, offering significant reference value for preventing ship collisions and other maritime accidents in Chinese waters.
{"title":"Risk factors extraction and analysis of Chinese ship collision accidents based on knowledge graph","authors":"Jihong Chen ,&nbsp;Chenglin Zhuang ,&nbsp;Jia Shi ,&nbsp;Houqiang Jiang ,&nbsp;Jinyu Xu ,&nbsp;Jutong Liu","doi":"10.1016/j.oceaneng.2025.120536","DOIUrl":"10.1016/j.oceaneng.2025.120536","url":null,"abstract":"<div><div>Shipping is a crucial mode of transportation. The high density of ship activities in Chinese waters increases the likelihood and severity of shipping accidents, which can significantly impact the global supply chain and shipping network operations. Among various maritime accidents, collisions are the most prevalent. Knowledge graphs, using triples (entity-relation-entity) as basic units, describe real-world concepts and relationships through text information, which aid in the causal analysis of accidents. This paper analyzes text data from Chinese ship collision accident reports and employs joint triple extraction algorithms based on deep learning and CART (Classification and Regression Tree) algorithm to construct a knowledge graph of these accidents, visualized using Gephi software. Utilizing complex network theory, a series of safety-related topological indicators are defined to perform quantitative risk assessment, identify key risk factors, and propose preventive measures, offering significant reference value for preventing ship collisions and other maritime accidents in Chinese waters.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"322 ","pages":"Article 120536"},"PeriodicalIF":4.6,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Developing reliable floating solar systems on seas: A review
IF 4.6 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-02-04 DOI: 10.1016/j.oceaneng.2025.120525
Luofeng Huang , Hashim Elzaabalawy , Mohamed Sarhaan , Ahmed Sherif , Haoyu Ding , Binjian Ou , Danlei Yang , Burak Can Cerik
Solar PhotoVoltaic (PV), as a clean and affordable energy solution, has become ubiquitous around the world. In order to install enough PV coverage to meet the demand of global climate action, there has been a growing research interest in deploying solar panels on abundant sea space. However, the harsh marine environment is holding stakeholders back with safety concerns. There is a necessity to ensure the reliability of FPV on seas. To facilitate research in this area, the present review scans all Floating PV (FPV) literature related to the ocean, with a focus on reliability and risk mitigation. It starts by presenting contemporary and potentially future FPV designs for seas, inventorying both mechanical and electrical components. Accordingly, possible risks in the system are discussed with the associate mitigations suggested. Subsequently, a series of protective approaches to assess offshore wind and wave loads on FPV are introduced. This is followed by a structural integrity review for the system’s fatigue and ultimate strength, accompanied by anti-corrosion, anti-biofouling, and robust mooring concerns. Finally, essential research gaps are identified, including the modelling of numerous floating bodies on seas, mooring methodology for enormous FPV coverage, the interactions between FPV and the surrounding sea environments, and remote sensing and digital twins of the system for optimal energy efficiency and structural health. Overall, this work provides comprehensive insights into essential considerations of FPV on seas, supporting sustainable developments and long-term cost reductions in this sector.
{"title":"Developing reliable floating solar systems on seas: A review","authors":"Luofeng Huang ,&nbsp;Hashim Elzaabalawy ,&nbsp;Mohamed Sarhaan ,&nbsp;Ahmed Sherif ,&nbsp;Haoyu Ding ,&nbsp;Binjian Ou ,&nbsp;Danlei Yang ,&nbsp;Burak Can Cerik","doi":"10.1016/j.oceaneng.2025.120525","DOIUrl":"10.1016/j.oceaneng.2025.120525","url":null,"abstract":"<div><div>Solar PhotoVoltaic (PV), as a clean and affordable energy solution, has become ubiquitous around the world. In order to install enough PV coverage to meet the demand of global climate action, there has been a growing research interest in deploying solar panels on abundant sea space. However, the harsh marine environment is holding stakeholders back with safety concerns. There is a necessity to ensure the reliability of FPV on seas. To facilitate research in this area, the present review scans all Floating PV (FPV) literature related to the ocean, with a focus on reliability and risk mitigation. It starts by presenting contemporary and potentially future FPV designs for seas, inventorying both mechanical and electrical components. Accordingly, possible risks in the system are discussed with the associate mitigations suggested. Subsequently, a series of protective approaches to assess offshore wind and wave loads on FPV are introduced. This is followed by a structural integrity review for the system’s fatigue and ultimate strength, accompanied by anti-corrosion, anti-biofouling, and robust mooring concerns. Finally, essential research gaps are identified, including the modelling of numerous floating bodies on seas, mooring methodology for enormous FPV coverage, the interactions between FPV and the surrounding sea environments, and remote sensing and digital twins of the system for optimal energy efficiency and structural health. Overall, this work provides comprehensive insights into essential considerations of FPV on seas, supporting sustainable developments and long-term cost reductions in this sector.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"322 ","pages":"Article 120525"},"PeriodicalIF":4.6,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167219","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
A novel reward-shaping-based soft actor–critic for random trajectory tracking of AUVs
IF 4.6 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-02-04 DOI: 10.1016/j.oceaneng.2025.120505
Yue Zhang, Tianze Zhang, Yibin Li, Yinghao Zhuang, Daichao Wang
Current research on autonomous underwater vehicles (AUVs) trajectory tracking mostly focuses on single trajectories, and there is limited research on the generalization of trajectory tracking based on reinforcement learning (RL). This paper introduces a novel RL controller for three-dimensional random trajectory tracking. In this context, a random trajectory includes random obstacles and random reference velocities on the z-axis, and it is designed to improve generalization. The controller integrates value network-based reward shaping (VNRS) with soft actor–critic (SAC). VNRS utilizes a multi-layer perceptron to evaluate the state, which is different from previous work. Simulations demonstrate that VNRS-SAC outperforms SAC in terms of stability and control accuracy. Generalization scenarios, including ocean currents, multiple obstacles, and various trajectories, reveal that the VNRS-SAC controller possesses certain generalization capabilities. Compared with classical S-plane and model predictive control, the VNRS-SAC controller achieves higher control accuracy.
{"title":"A novel reward-shaping-based soft actor–critic for random trajectory tracking of AUVs","authors":"Yue Zhang,&nbsp;Tianze Zhang,&nbsp;Yibin Li,&nbsp;Yinghao Zhuang,&nbsp;Daichao Wang","doi":"10.1016/j.oceaneng.2025.120505","DOIUrl":"10.1016/j.oceaneng.2025.120505","url":null,"abstract":"<div><div>Current research on autonomous underwater vehicles (AUVs) trajectory tracking mostly focuses on single trajectories, and there is limited research on the generalization of trajectory tracking based on reinforcement learning (RL). This paper introduces a novel RL controller for three-dimensional random trajectory tracking. In this context, a random trajectory includes random obstacles and random reference velocities on the z-axis, and it is designed to improve generalization. The controller integrates value network-based reward shaping (VNRS) with soft actor–critic (SAC). VNRS utilizes a multi-layer perceptron to evaluate the state, which is different from previous work. Simulations demonstrate that VNRS-SAC outperforms SAC in terms of stability and control accuracy. Generalization scenarios, including ocean currents, multiple obstacles, and various trajectories, reveal that the VNRS-SAC controller possesses certain generalization capabilities. Compared with classical S-plane and model predictive control, the VNRS-SAC controller achieves higher control accuracy.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"322 ","pages":"Article 120505"},"PeriodicalIF":4.6,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The optimization method of transient hydrodynamic calculation model for extendable manipulators
IF 4.6 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-02-04 DOI: 10.1016/j.oceaneng.2025.120534
Qiming Wang , Fusheng Zha , Yuanjie Liu , Wei Guo , Mantian Li , Jinrui Zhou
This research addresses the challenges in transient hydrodynamic modeling posed by the unique structure of extendable manipulators and the variation of the surrounding flow field, proposing an optimized hydrodynamic calculation model based on flow separation characteristics. To achieve this, transient Computational Fluid Dynamics (CFD) simulations are conducted, enabling the acquisition of true hydrodynamic data for the manipulator during extension. Analysis of this data reveals calculation errors in traditional single-rod models at specific angles of incidence (the angle between the rods and incoming flow), underscoring the need for model optimization. By examining flow characteristics maps, regions exhibiting significant blockage effects are identified, which informs the development of an enhanced model grounded in the Morrison equation to accurately capture hydraulic effects in these areas. To simplify the complexity of calculating multiple hydrodynamic coefficients simultaneously in optimized model, the equivalent drag coefficient method is introduced to further refine the drag calculations, culminating in an optimized hydrodynamic calculation model for manipulators. Comparison of the optimized model’s predictions with experimental data demonstrates its accuracy and applicability, supported by analyses of the equivalent drag coefficient across various flow field conditions and angles of incidence.
{"title":"The optimization method of transient hydrodynamic calculation model for extendable manipulators","authors":"Qiming Wang ,&nbsp;Fusheng Zha ,&nbsp;Yuanjie Liu ,&nbsp;Wei Guo ,&nbsp;Mantian Li ,&nbsp;Jinrui Zhou","doi":"10.1016/j.oceaneng.2025.120534","DOIUrl":"10.1016/j.oceaneng.2025.120534","url":null,"abstract":"<div><div>This research addresses the challenges in transient hydrodynamic modeling posed by the unique structure of extendable manipulators and the variation of the surrounding flow field, proposing an optimized hydrodynamic calculation model based on flow separation characteristics. To achieve this, transient Computational Fluid Dynamics (CFD) simulations are conducted, enabling the acquisition of true hydrodynamic data for the manipulator during extension. Analysis of this data reveals calculation errors in traditional single-rod models at specific angles of incidence (the angle between the rods and incoming flow), underscoring the need for model optimization. By examining flow characteristics maps, regions exhibiting significant blockage effects are identified, which informs the development of an enhanced model grounded in the Morrison equation to accurately capture hydraulic effects in these areas. To simplify the complexity of calculating multiple hydrodynamic coefficients simultaneously in optimized model, the equivalent drag coefficient method is introduced to further refine the drag calculations, culminating in an optimized hydrodynamic calculation model for manipulators. Comparison of the optimized model’s predictions with experimental data demonstrates its accuracy and applicability, supported by analyses of the equivalent drag coefficient across various flow field conditions and angles of incidence.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"322 ","pages":"Article 120534"},"PeriodicalIF":4.6,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dynamic analysis and optimization of perforated tubing strings in deep-water wells under diverse operating conditions
IF 4.6 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-02-04 DOI: 10.1016/j.oceaneng.2025.120535
Qiao Deng , Jiadong Jiang , Dong Yang , Hu Han , Guilin Qi
Deep-water well perforation is an essential process for enhancing the offshore oil and gas production. However, the shock loads generated by perforated operation pose significant safety risks to the integrity of the perforated tubing string system, with the potential for severe accidents. We conducted dynamic simulations of the perforation process and extracted the mechanical data of the perforated tubing string from different directions and locations at different time intervals with ANSYS/LS-DYNA. This paper uncovers the dynamic mechanical behaviors, identifies vulnerable areas of the perforated tubing string system, evaluates the tubing string's response patterns, and proposes optimization strategies for deep-water wellbore perforation by modifying parameters in the finite element model to simulate various perforating operation environments. The main finding are as follows: (1)the most significant displacement deformations, velocity variations, and localized equivalent stress concentrations occur at the bottom of the tubing string; (2) peak equivalent stress is observed at the top of the tubing string, and vulnerable areas is at both ends; (3) to effectively mitigate the explosive impact on the perforated tubing string during perforation, this paper proposes several measures, including maintaining proper alignment of the perforating gun, adjusting the unloaded portion of the gun, reducing perforation fluid density, lowering initial pressure in the wellbore, increasing the wellbore space, strategically arranging loading of charges, employing longer tubing, and moderately increasing the internal pressure of the tubing string; (4)through the validation of a field case in deepwater wellbore, this paper demonstrates that impact loads on downhole tools such as the perforated tubing string, packer, and manometer can be minimized with a comprehensive optimization strategy that include optimizing shock absorber quantity and position, establishing a safety distance for the packer, and modifying perforation parameters. This paper offers essential guidance and a theoretical framework for mitigating shock loads and improving the overall safety of the string system during deep-water wellbore perforation.
{"title":"Dynamic analysis and optimization of perforated tubing strings in deep-water wells under diverse operating conditions","authors":"Qiao Deng ,&nbsp;Jiadong Jiang ,&nbsp;Dong Yang ,&nbsp;Hu Han ,&nbsp;Guilin Qi","doi":"10.1016/j.oceaneng.2025.120535","DOIUrl":"10.1016/j.oceaneng.2025.120535","url":null,"abstract":"<div><div>Deep-water well perforation is an essential process for enhancing the offshore oil and gas production. However, the shock loads generated by perforated operation pose significant safety risks to the integrity of the perforated tubing string system, with the potential for severe accidents. We conducted dynamic simulations of the perforation process and extracted the mechanical data of the perforated tubing string from different directions and locations at different time intervals with ANSYS/LS-DYNA. This paper uncovers the dynamic mechanical behaviors, identifies vulnerable areas of the perforated tubing string system, evaluates the tubing string's response patterns, and proposes optimization strategies for deep-water wellbore perforation by modifying parameters in the finite element model to simulate various perforating operation environments. The main finding are as follows: (1)the most significant displacement deformations, velocity variations, and localized equivalent stress concentrations occur at the bottom of the tubing string; (2) peak equivalent stress is observed at the top of the tubing string, and vulnerable areas is at both ends; (3) to effectively mitigate the explosive impact on the perforated tubing string during perforation, this paper proposes several measures, including maintaining proper alignment of the perforating gun, adjusting the unloaded portion of the gun, reducing perforation fluid density, lowering initial pressure in the wellbore, increasing the wellbore space, strategically arranging loading of charges, employing longer tubing, and moderately increasing the internal pressure of the tubing string; (4)through the validation of a field case in deepwater wellbore, this paper demonstrates that impact loads on downhole tools such as the perforated tubing string, packer, and manometer can be minimized with a comprehensive optimization strategy that include optimizing shock absorber quantity and position, establishing a safety distance for the packer, and modifying perforation parameters. This paper offers essential guidance and a theoretical framework for mitigating shock loads and improving the overall safety of the string system during deep-water wellbore perforation.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"322 ","pages":"Article 120535"},"PeriodicalIF":4.6,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysis on flow-induced transverse vibration and pivoted rotation of a trapezoidal prism with single degree of freedom
IF 4.6 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-02-03 DOI: 10.1016/j.oceaneng.2025.120523
Xiaoyan Wang , Mengyao Yu , Fenglin Wang , Volodymyr Brazhenko , Jiancheng Cai , Shiju E , Zisheng Xu
Two types of flow-induced vibration (FIV) of a trapezoidal prism, namely the transverse vibration and the pivoted rotation, within a Reynolds number (Re) range of 0.7 × 104 to 5.6 × 104 have been numerically studied in the present work. The FIV experiences the vortex-induced vibration (VIV) and the galloping circumstances as Re increases, and the vibration response characteristics and flow energy harvesting capability of different FIVs are discussed. In the VIV-galloping transition stage, the trapezoidal prism exhibits a much larger amplitude than the square prism. Upon entering the galloping branch, an amplitude self-limiting phenomenon occurs in the pivoted rotation, with the trapezoidal prism displaying a much lower amplitude. The related lift and drag forces, as well as the flow structures, especially the wake vortex patterns influenced by the cross-section shape, at different FIV stages, are analyzed in detail. In the low Re range, the trapezoidal prism demonstrates better energy harvesting capability over the square prism and the maximum conversion ratio of flow energy into the vibration energy is found during the transition from VIV-galloping to galloping. These findings have practical implications for designing more efficient flow energy harvesting devices, particularly in renewable energy systems such as wind and tidal energy converters.
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引用次数: 0
Experimental investigation on the tensile strength degradation of CFRP tendons with anchorage systems under seawater immersion
IF 4.6 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-02-03 DOI: 10.1016/j.oceaneng.2025.120580
Xiaoyu Zhang , Zihua Zhang , Chunheng Zhou , Xuan Wang , Zhenwen Zhang
Mooring lines are critical components for floating offshore wind turbines (FOWT). Carbon fibre-reinforced polymer (CFRP) has emerged as a promising alternative to traditional engineering materials due to its exceptional mechanical properties. To investigate the feasibility of CFRP tendons as mooring systems in terms of durability, this paper delves into the mechanisms underlying the tensile strength degradation of CFRP tendons equipped with anchors exposed to marine environments. Accelerated tests in artificial seawater were conducted on CFRP tendons with anchorage systems, and scanning electron microscopy (SEM) was used to analyse microstructure changes. The tensile strength retention of CFRP tendons at depths of 30 and 300 m in various sea regions of China was predicted according to the Arrhenius theory. The results show that the seawater temperature significantly affects the tensile strength of CFRP tendons because high temperature accelerates the epoxy resin decomposition. After 6 months of exposure to seawater at 60 °C, the tensile strength decreased by 34.3%. The epoxy resin between fibres underwent varying degrees of decomposition at different temperatures, and the anchors protected the internal CFRP tendon and provided sufficient anchor efficiency, indicating that the mechanical type of anchor is suitable for CFRP tendons in marine environments.
{"title":"Experimental investigation on the tensile strength degradation of CFRP tendons with anchorage systems under seawater immersion","authors":"Xiaoyu Zhang ,&nbsp;Zihua Zhang ,&nbsp;Chunheng Zhou ,&nbsp;Xuan Wang ,&nbsp;Zhenwen Zhang","doi":"10.1016/j.oceaneng.2025.120580","DOIUrl":"10.1016/j.oceaneng.2025.120580","url":null,"abstract":"<div><div>Mooring lines are critical components for floating offshore wind turbines (FOWT). Carbon fibre-reinforced polymer (CFRP) has emerged as a promising alternative to traditional engineering materials due to its exceptional mechanical properties. To investigate the feasibility of CFRP tendons as mooring systems in terms of durability, this paper delves into the mechanisms underlying the tensile strength degradation of CFRP tendons equipped with anchors exposed to marine environments. Accelerated tests in artificial seawater were conducted on CFRP tendons with anchorage systems, and scanning electron microscopy (SEM) was used to analyse microstructure changes. The tensile strength retention of CFRP tendons at depths of 30 and 300 m in various sea regions of China was predicted according to the Arrhenius theory. The results show that the seawater temperature significantly affects the tensile strength of CFRP tendons because high temperature accelerates the epoxy resin decomposition. After 6 months of exposure to seawater at 60 °C, the tensile strength decreased by 34.3%. The epoxy resin between fibres underwent varying degrees of decomposition at different temperatures, and the anchors protected the internal CFRP tendon and provided sufficient anchor efficiency, indicating that the mechanical type of anchor is suitable for CFRP tendons in marine environments.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"322 ","pages":"Article 120580"},"PeriodicalIF":4.6,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Ocean Engineering
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