Journal of Ocean Engineering and Science最新文献_第10页

A novel multi-module coupled algorithm for the wreck off-bottom simulation 沉船离底仿真的一种新型多模块耦合算法

IF 13 1区工程技术 Q1 ENGINEERING, MARINE

Journal of Ocean Engineering and Science

Pub Date : 2025-04-01 Epub Date: 2023-06-02 DOI: 10.1016/j.joes.2023.05.003

Shangzhe Xin , Yiting Wang , Lei Wang , Xiaodong Zhu , Shihai Chen , Dongrong Zhou

This paper proposes a novel multi-module coupled algorithm for the wreck off-bottom simulation (MCAWOS), involving several structures, multiple mediums, and three modules: the wreck-soil interaction module, the lifting-buffering module, and the barge-cable coupled module. In the present algorithm, the finite element method, the potential flow method and the lumped mass method are integrated and used to simulate the off-bottom process. The dynamic response characteristics of a typical salvage case with rated lifting tensions are investigated. It is found that the salvage system in waves exhibits a special breakout phenomenon, where the wreck displacements increase abruptly, and uneven distributions of the lifting tensions are observed. Case studies are conducted to further ascertain the mechanism of the breakout. As the rated lifting tension increases, the salvage efficiency rises, while the maximum roll and pitch amplitudes of the wreck decrease. Meanwhile, larger rated tension may result in more waste in equipment lifting capacity, thus 229 ton is finally selected as the appropriate preset lifting tension. In addition, when the wave direction angle increases from 90

^{\circ}

to 180

^{\circ}

, the maximum roll value of the wreck shows a roughly decreasing trend and the planar deflection of the salvage barge relative to the wreck decreases. However, the maximum values of pitch, yaw, lifting tension and Mises seabed soil stress show irregular fluctuations. Taking all dynamic indicators into account, the wave heading interval of 150

^{\circ}

to 180

^{\circ}

is expected to be an ideal operating window. Conversely the 105

^{\circ}

case is a dangerous state.

本文提出了一种新的沉船离底仿真多模块耦合算法，该算法涉及多种结构、多种介质和三个模块：沉船-土壤相互作用模块、提升-缓冲模块和驳船-缆索耦合模块。该算法将有限元法、势流法和集总质量法相结合，用于模拟离底过程。研究了典型打捞箱在额定升降张力下的动态响应特性。研究发现，在波浪作用下，打捞系统表现出一种特殊的突围现象，沉船位移急剧增大，吊张力分布不均匀。个案研究，以进一步确定爆发的机制。随着额定起升张力的增大，打捞效率提高，而沉船最大横摇幅值和俯仰幅值减小。同时，较大的额定张力可能会造成设备提升能力的浪费，因此最终选择229吨作为合适的预置提升张力。此外，当波浪方向角从90°增加到180°时，沉船的最大横摇值大致呈减小趋势，打捞驳船相对于沉船的平面偏转减小。而俯仰、偏航、提升张力和Mises海床土应力的最大值呈不规则波动。考虑到所有的动态指标，150到180度的波浪朝向间隔预计是一个理想的操作窗口。相反，105°的情况是危险的。

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引用次数: 0

Backscattering enhancements by partially exposed cylindrical shells due to reflected flexural waves at air–water interfaces 由于空气-水界面处的反射弯曲波，部分暴露的圆柱壳增强了后向散射

IF 13 1区工程技术 Q1 ENGINEERING, MARINE

Journal of Ocean Engineering and Science

Pub Date : 2025-04-01 Epub Date: 2023-07-20 DOI: 10.1016/j.joes.2023.07.006

Liwen Tan , Jun Fan , Bin Wang , Kaiqi Zhao , Bing Li

For smooth curved objects in contact with a flat interface, the propagation paths of supported surface elastic waves can be altered by the interface, thereby enhancing the characteristics of the backscattered echo returns. In this study, backscattering experiments are conducted on an empty stainless steel cylindrical shell that breaks through an air–water interface and is insonified from below at grazing incidence. The shell has a thickness-to-radius ratio of 5%. The frequencies of interest fall within the vicinity of and below the coincidence frequency, which corresponds to a ka range of 13.8–20.1. The experimental results demonstrate that, for the partially exposed cylindrical shell, the flexural waves can traverse the interface and circumnavigate the shell multiple times. The flexural waves experience mode transitions upon passing through the interface, existing as a₀₋ waves below the interface and a₀ waves above the interface. Simultaneously, the flexural waves undergo partial reflection each time they pass through the interface, guiding them to follow a reverse path and generating a periodic series of echo returns, which leads to the enhancement of backscattering. The shift in resonance frequency in relation to the changing exposure is analyzed and predicted using the phase matching theory.

对于与平面界面接触的光滑曲面物体，受支撑的表面弹性波的传播路径可以被界面改变，从而增强了后向散射回波的特性。在这项研究中，在一个空的不锈钢圆柱壳上进行了后向散射实验，该壳穿过空气-水界面，在掠入射下从下面进行失谐。壳体的厚度-半径比为5%。感兴趣的频率落在重合频率附近或以下，对应于13.8-20.1的ka范围。实验结果表明，对于部分暴露的圆柱壳，弯曲波可以多次穿过界面并绕壳飞行。挠曲波通过界面后经历模态转变，在界面下方以a0−波存在，在界面上方以a0波存在。同时，弯曲波每次通过界面时都会发生部分反射，引导它们沿着相反的路径，并产生周期性的一系列回波，从而导致后向散射增强。利用相位匹配理论分析和预测了谐振频率随曝光量变化的变化。

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引用次数: 0

Predicting motions of deepwater platform based on the inverse reconstruction of environmental loads 基于环境载荷逆重构的深水平台运动预测

IF 13 1区工程技术 Q1 ENGINEERING, MARINE

Journal of Ocean Engineering and Science

Pub Date : 2025-04-01 Epub Date: 2023-07-07 DOI: 10.1016/j.joes.2023.06.003

Xu Li , Handi Wei , Longfei Xiao , Ziyang Zhu , Yufeng Kou , Mingyue Liu

In hybrid model testing technique, model tests are primarily used to verify numerical models which is used to predict the responses of full-depth systems. However, hybrid model testing method based on potential flow theory highly rely on the accuracy of mathematical model, facing challenges in accurately predicting full-depth responses with viscous effects, such as flow-induced motion. To solve the problem, a method for predicting motions of full-depth system is proposed based on the inverse reconstruction of the environmental loads from the truncated model test, considering viscous and nonlinear effects on platform. To validate the method, a series of model tests were conducted for a semi-submersible platform in head seas using both truncated and full-depth mooring systems to validate the method. The environmental loads could be extracted accurately via the inverse reconstruction method under different environmental conditions, including 100-year-return-period wave-only, current-only, coupled wave, wind, and current conditions. The results of time history, statistics, and power distribution show that the proposed method has better performance than conventional method of hybrid model test in situations where viscous effects are obvious.

在混合模型试验技术中，模型试验主要用于验证用于预测全深度系统响应的数值模型。然而，基于势流理论的混合模型测试方法高度依赖数学模型的准确性，难以准确预测流致运动等粘滞效应下的全深响应。为解决这一问题，提出了一种基于截尾模型试验环境荷载逆重构的全深系统运动预测方法，同时考虑了平台上的粘性和非线性效应。为了验证该方法，在首海的半潜式平台上进行了一系列模型试验，使用截断和全深度系泊系统来验证该方法。通过逆重建方法可以准确提取不同环境条件下的环境荷载，包括百年周期纯波、纯流、耦合波、风和流条件。时间历史、统计和功率分布结果表明，在粘性效应明显的情况下，该方法比传统的混合模型试验方法具有更好的性能。

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引用次数: 0

A spectral coupled boundary element method for the simulation of nonlinear surface gravity waves 模拟非线性表面重力波的谱耦合边界元方法

IF 13 1区工程技术 Q1 ENGINEERING, MARINE

Journal of Ocean Engineering and Science

Pub Date : 2025-02-01 Epub Date: 2023-07-15 DOI: 10.1016/j.joes.2023.07.003

Kaiyuan Shi, Renchuan Zhu, Dekang Xu

The challenge of simulating the broad open sea with limited computational resources has long been of interest in ocean engineering research. In view of this issue, this paper proposes a fully nonlinear potential flow method named the spectral coupled boundary element method (SCBEM). By leveraging the approach of domain decomposition, SCBEM achieves significantly reduced computational cost and an order of magnitude increase in computational domain compared to the conventional boundary element method (BEM). The SCBEM encompasses the marine structure with only a tiny BEM domain and employs a high-order spectral layer to simulate the broad water outside the BEM domain. The performance of the SCBEM is evaluated through comparison with the wave damping approach and literature results for regular waves, modulated wave trains, focused waves, and diffraction of a vertical cylinder. The numerical results demonstrate the effectiveness and accuracy of the SCBEM in simulating a wide range of wavelengths and nonlinear wave interactions.

如何在有限的计算资源下模拟广阔的海洋，一直是海洋工程研究的热点问题。针对这一问题，本文提出了一种完全非线性的势流方法——谱耦合边界元法（SCBEM）。与传统的边界元法（BEM）相比，利用区域分解的方法显著降低了计算成本，计算范围提高了一个数量级。SCBEM仅包含一个很小的BEM域的海洋结构，并采用高阶谱层来模拟BEM域外的广阔水域。通过对规则波、调制波列、聚焦波和垂直圆柱衍射的波阻尼方法和文献结果的比较，评估了该方法的性能。数值结果证明了该方法在模拟大范围波长和非线性波相互作用方面的有效性和准确性。

引用次数: 0

Coupled aero-hydro-servo-elastic analysis of 10MW TLB floating offshore wind turbine 10MW TLB浮式海上风力机气动-液压-伺服-弹性耦合分析

IF 13 1区工程技术 Q1 ENGINEERING, MARINE

Journal of Ocean Engineering and Science

Pub Date : 2025-02-01 Epub Date: 2023-03-11 DOI: 10.1016/j.joes.2023.02.001

Iman Ramzanpoor , Martin Nuernberg , Longbin Tao

This paper presents a fully coupled aero-hydro-servo elastic analysis of a 10MW offshore wind turbine supported by a tension leg buoy (TLB) platform, with a taut mooring system. The study investigates the TLB's dynamic response characteristics under the northern North Sea environmental conditions with water depths of 110 metres, comparing the performance of steel, polyester, and nylon mooring line configurations. Innovating floating wind turbines requires a cost-effective system that achieves reliable performance in operational and survival conditions. The innovative system should compete with other existing FOWT types and fixed-bottom offshore wind turbines in terms of LCOE. The dynamic responses of the relatively less complex TLB platform in terms of construction and installation showed small motion and accelerations for all available mooring materials from the current supply chain, enabling the wind turbine to be installed without significant modifications to their control systems. The mooring materials' elasticity is essential in the system achieving motion response.

本文对采用张力腿浮标（TLB）平台的10MW海上风力发电机进行了气动-液压-伺服全耦合弹性分析。该研究考察了TLB在北海北部水深110米环境条件下的动态响应特性，并比较了钢系缆、聚酯系缆和尼龙系缆配置的性能。创新的浮动式风力涡轮机需要一种在运行和生存条件下实现可靠性能的经济高效的系统。创新系统应该在LCOE方面与其他现有的FOWT类型和固定底部海上风力涡轮机竞争。在建造和安装方面，相对不那么复杂的TLB平台的动态响应显示，当前供应链中所有可用系泊材料的运动和加速度都很小，这使得风力涡轮机的安装无需对其控制系统进行重大修改。系泊材料的弹性是系统实现运动响应的关键。

引用次数: 0

Proportional-integral-derivative controller optimization by particle swarm optimization and back propagation neural network for a parallel stabilized platform in marine operations 基于粒子群和反向传播神经网络的比例积分微分控制器优化

IF 13 1区工程技术 Q1 ENGINEERING, MARINE

Journal of Ocean Engineering and Science

Pub Date : 2025-02-01 Epub Date: 2022-05-21 DOI: 10.1016/j.joes.2022.05.015

Gang Tang , Jinman Lei , Haohao Du , Baoheng Yao , Weidong Zhu , Xiong Hu

The parallel stabilized platform is an important equipment to ensure the stability of marine operations, which can effectively mitigate collisions of lifted goods. The 3UPU_UP parallel stabilized platform system is proposed, and the kinematics and dynamics of the 3UPU_UP parallel stabilized platform are researched, where U denotes universal joint; P denotes prismatic joint. The platform motion can be realized by controlling the actuators to realize compensation ship motion. While conventional control algorithms are difficult to cope with complex nonlinear systems, the optimization control method has been proposed. Based on the back propagation (BP) neural network proportional-integral-derivative (PID) controller, the particle swarm optimization (PSO) is combined with the BP neural network, and the combined PSO-BP PID controller optimization algorithm is introduced into the servo control system. Compared with classic PID and BP PID, the overshoot of PSO-BP PID to the response of step signal is reduced by 10.2% and 11.48%, respectively, and 0.36s and 0.17s reduce the time required to reach stable states. By comparing the reduction of the error under various sea conditions, the upper platform tracking error curve is flatter under a PID controller based on PSO-BP, the tracking motion is closer to the theoretical value and the control accuracy is improved. The maximum tracking error of the upper platform is smaller, the overall motion vibration of the platform is reduced, and the anti-interference ability is enhanced. The PSO-BP PID controller for wave compensated platform servo system control is more reasonable, more adaptable to the complex and changing environment.

并联稳定平台是保证海上作业稳定性的重要设备，它能有效地缓解起升货物的碰撞。提出了3UPU_UP并联稳定平台系统，研究了3UPU_UP并联稳定平台的运动学和动力学特性，其中U为万向节；P表示移动关节。通过控制作动器实现平台运动，实现舰船补偿运动。针对传统控制算法难以处理复杂非线性系统的特点，提出了优化控制方法。在反向传播（BP）神经网络比例积分导数（PID）控制器的基础上，将粒子群优化（PSO）算法与BP神经网络相结合，将组合PSO-BP PID控制器优化算法引入到伺服控制系统中。与经典PID和BP PID相比，PSO-BP PID对阶跃信号响应的超调量分别减小了10.2%和11.48%，达到稳定状态所需的时间分别缩短了0.36s和0.17s。通过对比不同海况下误差的减小情况，基于PSO-BP的PID控制器使上平台跟踪误差曲线更平坦，跟踪运动更接近理论值，提高了控制精度。上层平台的最大跟踪误差较小，降低了平台的整体运动振动，增强了抗干扰能力。采用PSO-BP PID控制器对波动补偿平台伺服系统进行控制更合理，更能适应复杂多变的环境。

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引用次数: 0

Comparative study of two cost assessment approaches to models for offshore oil and gas platform decommissioning 海洋油气平台退役模型两种成本评估方法的比较研究

IF 13 1区工程技术 Q1 ENGINEERING, MARINE

Journal of Ocean Engineering and Science

Pub Date : 2025-02-01 Epub Date: 2023-10-13 DOI: 10.1016/j.joes.2023.10.003

Yihong Li, Zhiqiang Hu

Offshore oil and gas facilities have been developed for over a century. The current exploration, development, and mining technologies are already perfect. However, the offshore oil and gas facilities in the world's major offshore oil-producing countries face serious aging challenges and many are overdue for service. Moreover, many oil and gas platforms are in urgent need of decommissioning. The cost of decommissioning is one of the most concerning issues for energy companies and governments. This study compared two different approaches to cost assessment models built by using United Kingdom Continental Shelf (UKCS) decommissioned platforms: a model constructed using a popular top-down approach, and one created by a novel bottom-up approach. Both models use the completed decommissioning projects in the UKCS area as research and verification resources. According to the results, although the cost assessment model constructed using the bottom-up method is challenging, it has higher accuracy and more robust versatility. The top-down approach model is more suitable for governments and energy companies to make rough assessments of the market and projects. The bottom-up approach model is more suitable for a more detailed cost assessment of the decommissioning of individual facilities and can be integrated with results from other assessment models (such as risk and impact assessment models) to obtain more accurate cost assessment results. Both approaches have great room for improvement at present, and further integration of disciplines may be the key to breakthroughs in this field.

海上石油和天然气设施已经开发了一个多世纪。目前的勘探、开发和开采技术已经非常完善。然而，世界主要海上石油生产国的海上油气设施面临着严重的老化挑战，许多设施已经过期。此外，许多石油和天然气平台迫切需要退役。退役成本是能源公司和政府最关心的问题之一。本研究比较了使用英国大陆架（UKCS）退役平台建立的两种不同的成本评估模型：一种是采用流行的自上而下方法构建的模型，另一种是采用新颖的自下而上方法创建的模型。这两种模型都使用英国大陆架地区已完成的退役项目作为研究和验证资源。结果表明，采用自底向上方法构建的成本评估模型虽然具有一定的挑战性，但具有更高的准确性和更强的通用性。自上而下的方法模型更适合政府和能源企业对市场和项目进行粗略评估。自下而上的方法模型更适合对单个设施的退役进行更详细的成本评估，并可与其他评估模型（如风险和影响评估模型）的结果相结合，以获得更准确的成本评估结果。目前这两种方法都有很大的改进空间，进一步的学科整合可能是该领域取得突破的关键。

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引用次数: 0

Double ceramic sphere's sympathetic implosions triggered by local impacts 双陶瓷球的内爆是由局部撞击引起的

IF 13 1区工程技术 Q1 ENGINEERING, MARINE

Journal of Ocean Engineering and Science

Pub Date : 2025-02-01 Epub Date: 2023-04-15 DOI: 10.1016/j.joes.2023.04.001

Yandong Hu, Yifan Zhao, Min Zhao, Miaolin Feng

Due to sophistications in experimental studies, the implosions in chain reaction, also named as sympathetic implosions, demand numerical models to understand the phenomena caused by various impacts to the primary sphere. We developed a 3D air-solid-water model considering the influence of brittle sphere failures of two alumina spheres to simulate the outbreak of the sympathetic implosion in the seawater of 114 MPa. According to the triggering mode, two cases of simultaneous implosions and five cases of sympathetic implosions of a double-sphere were numerically studied. We found that the induced fracture of the secondary sphere happened before the outbreak of the positive pressure wave, i.e., the induced fracture is caused by the uneven pressure around the sphere lower than the hydrostatic pressure. To our knowledge, the present paper is the first report on the early fracture of the secondary solid sphere in sympathetic implosions. With various triggering modes of the primary sphere, the secondary fractures are all induced at the proximal side and extend to the other side. The formed ring-shaped implosion cores are caused by individual fracture mode. The shifting of the two implosion cores eventually affects the pressure pulses at a position. A higher or similar values of the secondary pulse are found closely related to the double sphere's fracture modes, i.e., related to the triggering modes of the local impacts. This work help to estimate the damage of the sympathetic implosion to the surroundings, and prevent further implosions by understanding spatial superposition of a series of pulses.

由于实验研究的复杂性，连锁反应中的内爆也被称为交感内爆，需要数值模型来理解各种对初级球体的冲击所引起的现象。建立了考虑两个氧化铝球脆性破坏影响的三维气固水模型，模拟了114 MPa海水中交感内爆的爆发。根据触发方式，对两种双球同步内爆和五种交感内爆进行了数值研究。我们发现二次球的诱导破裂发生在正压力波爆发之前，即诱导破裂是由于球周围压力低于静水压力的不均匀造成的。据我们所知，本文是关于交感内爆次生实心球早期骨折的第一篇报道。在原生球的多种触发方式下，次生裂缝均在近端诱发，并向另一侧延伸。环形内爆岩心的形成是由单个断裂模式引起的。两个内爆芯的移动最终会影响某一位置的压力脉冲。发现二次脉冲的较高或相近值与双球断裂模式密切相关，即与局部冲击触发模式密切相关。这项工作有助于估计交感神经内爆对周围环境的损害，并通过了解一系列脉冲的空间叠加来防止进一步的内爆。

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引用次数: 0

Prediction of diesel generator performance and emissions using minimal sensor data and analysis of advanced machine learning techniques 使用最小的传感器数据和先进的机器学习技术分析预测柴油发电机的性能和排放

IF 13 1区工程技术 Q1 ENGINEERING, MARINE

Journal of Ocean Engineering and Science

Pub Date : 2025-02-01 Epub Date: 2023-10-27 DOI: 10.1016/j.joes.2023.10.004

Min-Ho Park , Jae-Jung Hur , Won-Ju Lee

To this day, diesel generator (DG) continues to play an indispensable role in all industries and smart engines and engines with eco-friendly technologies are being developed. However, with the advent of the unmanned automation era, countermeasures are required when DG sensors are non-functional. Therefore, an optimized AI model for backing up sensor data, which is necessary for the safety of smart engines equipped with eco-friendly facilities, was developed. To develop an AI model for this purpose, an experiment was conducted to obtain the engine and emission data to be used and 11 models were created. By predicting 16 variables related to the engine performance and emissions using a total of five sensor data, including three sensors essential for the engine safety, the proposed AI model could back up data when some sensors failed. Moreover, various hyperparameter tunings were applied and compared to maximize the model performance. Consequently, the decision tree (DT)-based models and genetic algorithm showed a good performance, and the weighted average of ensemble (DT) model showed the best performance with R² value of 0.9981, and a SMAPE value of 0.7244. Additionally, to confirm the generalization performance of the model, the prediction performance of the models was measured using new data, and the blending of ensemble (ALL) model had the best performance with R² value of 0.9266, and a SMAPE value of 5.585. Finally, the application of the concept used to develop the AI model and the future direction of the work were discussed.

时至今日，柴油发电机（DG）仍然在各行各业发挥着不可或缺的作用，智能发动机和具有环保技术的发动机正在开发中。然而，随着无人驾驶自动化时代的到来，当DG传感器无法发挥作用时，需要采取对策。因此，开发了一种优化的AI模型，用于备份配备环保设施的智能发动机安全所需的传感器数据。为了开发AI模型，我们进行了实验，获得了将要使用的发动机和排放数据，并创建了11个模型。通过使用5个传感器数据（包括3个对发动机安全至关重要的传感器）预测与发动机性能和排放相关的16个变量，该人工智能模型可以在某些传感器故障时备份数据。此外，应用并比较了各种超参数调优以最大化模型性能。综上所述，基于决策树（DT）的模型和遗传算法均表现出较好的性能，其中集成（DT）模型的加权平均表现最佳，R2值为0.9981，SMAPE值为0.7244。此外，为了验证模型的泛化性能，使用新数据对模型的预测性能进行了测试，结果表明，混合集成（ALL）模型的预测性能最好，R2值为0.9266，SMAPE值为5.585。最后，讨论了该概念在人工智能模型开发中的应用以及未来的工作方向。

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引用次数: 0

Conceptual prediction of harbor sedimentation quantities using AI approaches to support integrated coastal structures management 使用人工智能方法进行港口沉积量的概念预测，以支持综合海岸结构管理

IF 13 1区工程技术 Q1 ENGINEERING, MARINE

Journal of Ocean Engineering and Science

Pub Date : 2025-02-01 Epub Date: 2022-06-02 DOI: 10.1016/j.joes.2022.06.005

Mohamed T. Elnabwy , Emad Elbeltagi , Mahmoud M. El Banna , Mohamed Y. Elsheikh , Ibrahim Motawa , Jong Wan Hu , Mosbeh R. Kaloop

Sedimentation is one of the most critical environmental issues facing harbors’ authorities that results in significant maintenance and dredging costs. Thus, it is essential to plan and manage the harbors in harmony with both the environmental and economic aspects to support Integrated Coastal Structures Management (ICSM). Harbors' layout and the permeability of protection structures like breakwaters affect the sediment transport within harbors’ basins. Using a multi-step relational research framework, this study aims to design a novel prediction model for estimating the sedimentation quantities in harbors through a comparative approach based on artificial intelligence (AI) algorithms. First, one hundred simulations for different harbor layouts and various breakwater characteristics were numerically performed using a coastal modeling system (CMS) for generating the dataset to train and validate the proposed AI-based models. Second, three AI approaches namely: Support Vector Regression (SVR), Gaussian Process Regression (GPR), and Artificial Neural Networks (ANN) were developed to predict sedimentation quantities. Third, a comparison between the developed models was conducted using quality assessment criteria to evaluate their performance and choose the best one. Fourth, a sensitivity analysis was performed to provide insights into the factors affecting sedimentation. Lastly, a decision support tool was developed to predict harbors' sedimentation quantities. Results showed that the ANN model outperforms other models with mean absolute percentage error (MAPE) equals 4%. Furthermore, sensitivity analysis demonstrated that the main breakwater inclination angle, porosity, and harbor basin width affect significantly sediment transport. This research makes a significant contribution to the management of coastal structures by developing an AI data-driven framework that is beneficial for harbors' authorities. Ultimately, the developed decision-support AI tool could be used to predict harbors' sedimentation quantities in an easy, cheap, accurate, and practical manner compared to physical modeling which is time-consuming and costly.

泥沙淤积是港口当局面临的最重要的环境问题之一，它导致了大量的维护和疏浚成本。因此，港口的规划和管理必须与环境和经济方面相协调，以支持综合海岸结构管理（ICSM）。港口布局和防波堤等防护结构的渗透性影响着港口盆地内泥沙的输运。本研究采用多步骤关联研究框架，设计了一种基于人工智能（AI）算法的比较方法预测港口泥沙淤积量的新模型。首先，使用海岸建模系统（CMS）对不同港口布局和各种防波堤特征进行了100次数值模拟，以生成数据集，以训练和验证所提出的基于人工智能的模型。其次，采用支持向量回归（SVR）、高斯过程回归（GPR）和人工神经网络（ANN）三种人工智能方法预测沉降量。第三，采用质量评价标准对已开发的模型进行比较，评价其性能并选择最佳模型。第四，进行敏感性分析，以深入了解影响沉积的因素。最后，开发了一个决策支持工具来预测港口的沉积量。结果表明，人工神经网络模型优于其他模型，平均绝对百分比误差（MAPE）为4%。敏感性分析表明，主防波堤倾角、孔隙度和港池宽度对泥沙输运有显著影响。本研究通过开发有利于港口当局的人工智能数据驱动框架，为沿海结构的管理做出了重大贡献。最终，与耗时昂贵的物理建模相比，开发的决策支持AI工具可以以简单，廉价，准确和实用的方式预测港口的沉积量。

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引用次数: 0