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SPH-integrated chamber model applied to floating OWC devices: 2-D and 3-D analysis sph集成腔室模型在浮动OWC装置中的应用:二维和三维分析
IF 4.4 2区 工程技术 Q1 ENGINEERING, OCEAN Pub Date : 2026-01-01 Epub Date: 2026-01-06 DOI: 10.1016/j.apor.2025.104896
Beatrice Mina , Iván Martínez-Estévez , Bonaventura Tagliafierro , Alejandro J.C. Crespo , Moncho Gómez-Gesteira , Giovanni Malara , Felice Arena
In this work, we present the implementation and validation of an analytical chamber model, coupled to a single-phase Smoothed Particle Hydrodynamics (SPH) approach, to mimic the pneumatic power take-off (PTO) characterizing an Oscillating Water Column (OWC) wave energy converter. The power extraction mechanism of OWCs relies on the compression and decompression of an air pocket placed above a water column within the device chamber, which oscillates due to the incoming waves. A reliable PTO modeling is crucial in order to estimate and optimize the energy conversion performance of this kind of WECs. Usually, the pneumatic PTO is simulated via two-phase mesh-based techniques, which are quite effective when dealing with fixed OWCs. Whereas, meshless methods like SPH have proven their feasibility in modeling floating devices and free surface flows, but are less efficient when two phases (air and water) are involved, due to their higher computational cost. Hereby, instead, an alternative procedure that envisions the integration of an analytical chamber model within a single-phase SPH approach is carried out and implemented in the open source code DualSPHysics. In this paper, such a methodology is adopted and validated, against experiments, while replicating the behavior of a 2-D floating OWC and it is then employed to estimate the response of a 3-D floating OWC. A numerical power output study for the latter configuration is provided as well. To the authors knowledge, this work represents the first attempt at modeling the pneumatic PTO of floating OWC devices through an SPH technique.
在这项工作中,我们提出了一个分析室模型的实现和验证,结合单相光滑粒子流体动力学(SPH)方法,来模拟振荡水柱(OWC)波浪能量转换器的气动动力起飞(PTO)特征。OWCs的动力提取机制依赖于装置腔内水柱上方的气穴的压缩和减压,该气穴由于入射波而振荡。建立可靠的PTO模型是评估和优化这种新型新型焊接材料能量转换性能的关键。通常,气动PTO是通过基于两相网格的技术来模拟的,这种技术在处理固定的owc时非常有效。然而,像SPH这样的无网格方法已经证明了它们在模拟漂浮装置和自由表面流动方面的可行性,但当涉及两相(空气和水)时,由于其较高的计算成本,效率较低。因此,取而代之的是一个替代程序,该程序设想在单相SPH方法中集成分析室模型,并在开源代码dualspphysics中实现。在本文中,采用了这种方法,并通过实验验证了这种方法,同时复制了二维浮动OWC的行为,然后将其用于估计三维浮动OWC的响应。对后一种结构的功率输出进行了数值研究。据作者所知,这项工作代表了通过SPH技术对浮动OWC设备的气动PTO建模的第一次尝试。
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引用次数: 0
Stern pressure identification using CNN-BiLSTM model based on bayesian optimisation and attention mechanism 基于贝叶斯优化和注意机制的CNN-BiLSTM模型艉部压力识别
IF 4.4 2区 工程技术 Q1 ENGINEERING, OCEAN Pub Date : 2026-01-01 Epub Date: 2025-12-18 DOI: 10.1016/j.apor.2025.104897
Weizhe Ren , Yao Wang , Xianqiang Qu , Hongbing Liu , Yuan Liu , Kai Liu , Yongxin Zhou
Accurate identification of the stern pressure field holds significant engineering implications for controlling hull structure vibrations and propeller excitation effects. In order to address the accuracy defects of the traditional distributed load inversion method when applied to complex surface structures, a baseline neural network model has been introduced and improved. Furthermore, a method of intelligent identification of stern pressure based on the Bayesian optimization algorithm and the attention mechanism of the CNN- BiLSTM model has been proposed. Taking the KCS container ship as the research object, we constructed a multi-physical-field coupled dataset containing 65 stern pressure measurement points and 9 structural strain measurement points through CFD simulations under five propeller rotational speed conditions. CNN and BiLSTM are used to extract spatio-temporal features from the dataset. Dynamic feature weight allocation is achieved through an attention mechanism, while Bayesian optimisation determines hyperparameter values to reduce bias. Results demonstrate that compared with basic models (CNN-BiLSTM, GRU, etc.), BOA-CNN-BiLSTM achieves optimal performance across MAE, MSE, RMSE, and MAPE metrics, with R2 reaching 0.987. This method achieves high-precision and high-reliability reconstruction of multi-point pressure data at the stern through finite strain monitoring, providing an effective solution for distributed load identification in complex curved structures.
船尾压力场的准确识别对于控制船体结构振动和螺旋桨激励效应具有重要的工程意义。为了解决传统分布载荷反演方法在复杂表面结构中精度不足的问题,引入并改进了基线神经网络模型。在此基础上,提出了一种基于贝叶斯优化算法和CNN- BiLSTM模型注意机制的舰尾压力智能识别方法。以KCS集装箱船为研究对象,通过CFD模拟,构建了5种螺旋桨转速工况下包含65个尾压测点和9个结构应变测点的多物理场耦合数据集。使用CNN和BiLSTM从数据集中提取时空特征。动态特征权重分配通过注意机制实现,而贝叶斯优化确定超参数值以减少偏差。结果表明,与基本模型(CNN-BiLSTM、GRU等)相比,BOA-CNN-BiLSTM在MAE、MSE、RMSE和MAPE指标上的性能最优,R2达到0.987。该方法通过有限应变监测实现了艉部多点压力数据的高精度、高可靠性重构,为复杂弯曲结构的分布载荷识别提供了有效的解决方案。
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引用次数: 0
Time-domain parametric models for floating structures: A Loewner-based approach 浮动结构的时域参数模型:一种基于loewner的方法
IF 4.4 2区 工程技术 Q1 ENGINEERING, OCEAN Pub Date : 2026-01-01 Epub Date: 2025-12-03 DOI: 10.1016/j.apor.2025.104876
Maria Luisa Celesti, Nicolás Faedo
Design, control, and optimisation of offshore floating structures have undergone significant evolution in recent years, driven by cutting-edge technology, including novel marine renewable energy sources and autonomous underwater vehicles. A key cornerstone is the availability of mathematical models capable of providing an accurate (yet computationally tractable) prediction of their behaviour, under different ocean conditions. The most widely adopted approach for capturing fluid–structure interactions is based on linear potential flow theory, where the system’s hydrodynamic behaviour is described through a finite set of frequency-dependent linear coefficients. A well-known limitation of this frequency-domain approach is its inherently non-parametric nature: if not parameterised accordingly, effective time-domain simulation necessitates the numerical solution of a convolution operator, which describes memory effects due to the surrounding fluid, an approach inconvenient for both simulation (computational) and control design (representational compatibility). Not only is a closed-form expression fundamental, but any candidate parametric model also needs to comply with the physical properties characterising a floating structure, including input/output stability, minimum-phase behaviour, and passivity. This paper presents a novel approach to producing physically consistent parametric structures for time-domain modelling of floating systems, utilising a Loewner-based method. The models, capable of providing approximate interpolation of raw frequency-domain data computed with off-the-shelf hydrodynamic solvers, accurately capture the complex behaviour of multi-mode and multi-body offshore structures, while respecting the dynamical properties associated with the system’s physics. The technique is illustrated in detail, using four different offshore structures from various fields of ocean engineering, highlighting the benefits of the proposed time-domain modelling framework.
近年来,在新型海洋可再生能源和自主水下航行器等尖端技术的推动下,海上浮动结构的设计、控制和优化发生了重大变化。一个关键的基石是数学模型的可用性,这些模型能够在不同的海洋条件下对它们的行为提供准确(但在计算上易于处理)的预测。捕获流体-结构相互作用的最广泛采用的方法是基于线性势流理论,其中系统的水动力行为通过一组有限的频率相关线性系数来描述。这种频域方法的一个众所周知的局限性是其固有的非参数性:如果没有相应的参数化,有效的时域模拟需要卷积算子的数值解,它描述了由于周围流体引起的记忆效应,这种方法对模拟(计算)和控制设计(表示兼容性)都不方便。不仅闭式表达式是基本的,而且任何候选参数模型也需要符合浮动结构的物理特性,包括输入/输出稳定性、最小相位行为和无源性。本文提出了一种新的方法来产生物理一致的参数结构的时域建模的浮动系统,利用一个基于loewner的方法。该模型能够提供用现成的流体动力求解器计算的原始频域数据的近似插值,准确捕捉多模式和多体海上结构的复杂行为,同时尊重与系统物理相关的动力学特性。详细说明了该技术,使用了来自海洋工程各个领域的四种不同的海上结构,突出了所提出的时域建模框架的好处。
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引用次数: 0
Analysis of Shoreline Response to Large-Scale Breakwaters Based on Physical and Field Studies 基于物理和野外研究的大型防波堤岸线响应分析
IF 4.4 2区 工程技术 Q1 ENGINEERING, OCEAN Pub Date : 2026-01-01 Epub Date: 2025-12-04 DOI: 10.1016/j.apor.2025.104860
Kyu-Tae Shim , Bumshick Shin , Kyu-Han Kim
This study investigates the erosion and accretion characteristics of the surrounding coastline during the installation of an approximately 1.5 km-long impermeable slit caisson breakwater on the east coast of Korea. Three-dimensional physical model tests were conducted to predict morphological changes and to clarify sediment transport mechanisms with and without the breakwater. Submerged breakwaters were employed at critical points prone to erosion, and their coastal protection effectiveness was assessed using 11 different spatial configurations. Experimental waves were chosen to represent erosion-inducing conditions (Hs: 3 m, Ts: 10 s) prevalent at the study site. The results revealed that the breakwater generated strong diffracted waves in the sheltered area, promoting erosion, while the effectiveness of submerged breakwaters depended on installation conditions. In all cases, shoreline retreat was observed behind the opening and at the ends of the submerged breakwater. Field surveys over five years since 2020 confirmed pronounced erosion and accretion behind the submerged breakwaters, attributed to a single 600 m-long, zero-opening configuration that reduced flow velocity behind the submerged breakwater causing accretion and intensified diffracted wave-induced erosion at both ends.
本研究考察了在韩国东海岸安装约1.5公里长的不透水缝式沉箱防波堤期间周围海岸线的侵蚀和增生特征。进行了三维物理模型试验,以预测形态变化,并阐明有和没有防波堤的泥沙输运机制。在易受侵蚀的关键位置设置了水下防波堤,并采用11种不同的空间配置对其海岸防护效果进行了评估。选择实验波来代表研究地点普遍存在的侵蚀诱导条件(高:3米,高:10秒)。结果表明:防波堤在避风区域产生强烈的绕射波,促进侵蚀,而淹没式防波堤的效果取决于安装条件;在所有情况下,在开口后面和水下防波堤的末端都观察到海岸线后退。自2020年以来的五年多的现场调查证实了水下防波堤后面明显的侵蚀和增生,这归因于一个600米长的零开口配置,降低了水下防波堤后面的流速,导致增生,并加剧了两端的绕射波引起的侵蚀。
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引用次数: 0
The catastrophic failure of thick composite cylindrical pressure hulls: Analytical, numerical and experimental investigations 复合材料厚圆柱耐压壳体的突变破坏:分析、数值和实验研究
IF 4.4 2区 工程技术 Q1 ENGINEERING, OCEAN Pub Date : 2026-01-01 Epub Date: 2025-12-09 DOI: 10.1016/j.apor.2025.104866
Yongsheng Li , Changli Yu , Weibo Wang , Xu Jiang , Xinlong Zuo , Hongyun Li
The catastrophic failure of thick composite cylindrical pressure hulls under high external hydrostatic pressure was investigated by analytical, numerical and experimental methods. Buckling failure and material failure were both considered to identify which failure mode of such thick hulls initiates first. An elastic buckling analytical model for thick composite cylinders based on Sander theory principles was applied to derive the critical buckling load. Meanwhile, a progressive damage model (PDM) was developed to simulate the material behavior in the region between the first-ply failure and ultimate failure, and the effects of failure criteria and geometrical defects on the implosion load of the test model were investigated. Then ultimate strength were obtained by comprehensive analysis of buckling failure and material failure via analytical and numerical methods. A group of two thick T700 carbon fiber/epoxy composite cylindrical pressure hulls were designed and manufactured, hydrostatic pressure tests were conducted to derive the catastrophic failure characteristics of thick composite pressure hulls and to validate the analytical and numerical results and methodology for the failure analysis of thick composite cylindrical pressure hulls.
采用解析、数值和实验方法研究了复合材料厚圆柱耐压壳在高静水压力作用下的突变破坏。同时考虑了屈曲破坏和材料破坏,以确定这种厚船体的哪种破坏模式首先开始。基于Sander理论,建立了复合材料厚柱弹性屈曲分析模型,推导了复合材料厚柱的临界屈曲载荷。同时,建立了模拟材料在第一层破坏和最终破坏之间区域行为的渐进损伤模型(PDM),研究了破坏准则和几何缺陷对试验模型内爆载荷的影响。然后通过解析和数值方法对屈曲破坏和材料破坏进行综合分析,得出极限强度。设计制造了两组T700型厚碳纤维/环氧复合材料耐压圆柱壳体,进行了静水压力试验,推导了厚复合材料耐压圆柱壳体的突变破坏特征,验证了厚复合材料耐压圆柱壳体失效分析的解析和数值结果及方法。
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引用次数: 0
A data-driven model for combined current-wave induced boundary layers 复合流波边界层的数据驱动模型
IF 4.4 2区 工程技术 Q1 ENGINEERING, OCEAN Pub Date : 2026-01-01 Epub Date: 2025-12-11 DOI: 10.1016/j.apor.2025.104877
Guang Yin , Muk Chen Ong , Svein Sævik , Janne Kristin Økland Gjøsteen , Egil Giertsen , Naiquan Ye
This study introduces a novel data-driven framework for efficiently predicting the time-varying velocity profiles of combined current-wave induced boundary layers, which are crucial for analyzing the on-bottom stability of near-seabed pipelines and cables. The characteristics of the combined wave-current boundary layer are strongly dependent on various parameters such as the wave period, the wave semi-excursion and the seabed roughness. Furthermore, there are also interactions between the current part and the wave part of the boundary layer, which influence the behaviors of their velocity profiles. To address these challenges, a data-driven model integrating one-dimensional Computational Fluid Dynamics (CFD) simulations and parametric mathematical expressions is proposed to predict the velocity profiles of the current and the first harmonic of the wave part for the boundary layer. CFD simulations are performed to generate the velocity profiles under different flow conditions and the database for the variables in the mathematical expression is built. An interpolation methodology based on the database is used to obtain the corresponding variables under a new given flow parameter set. This framework is then validated against numerical simulations and experimental data.
该研究提出了一种新的数据驱动框架,用于有效预测组合流波边界层的时变速度剖面,这对于分析近海底管道和电缆的海底稳定性至关重要。波流联合边界层的特征与波浪周期、波浪半偏移和海底粗糙度等参数密切相关。此外,边界层的电流部分和波部分之间还存在相互作用,影响了它们的速度分布特征。为了解决这些问题,提出了一种将一维计算流体力学(CFD)模拟和参数化数学表达式相结合的数据驱动模型,用于预测边界层的电流速度分布和波部分的一次谐波。通过CFD仿真得到了不同流动条件下的速度分布,并建立了数学表达式中变量的数据库。采用基于数据库的插值方法,在给定的流量参数集下得到相应的变量。然后通过数值模拟和实验数据验证了该框架。
{"title":"A data-driven model for combined current-wave induced boundary layers","authors":"Guang Yin ,&nbsp;Muk Chen Ong ,&nbsp;Svein Sævik ,&nbsp;Janne Kristin Økland Gjøsteen ,&nbsp;Egil Giertsen ,&nbsp;Naiquan Ye","doi":"10.1016/j.apor.2025.104877","DOIUrl":"10.1016/j.apor.2025.104877","url":null,"abstract":"<div><div>This study introduces a novel data-driven framework for efficiently predicting the time-varying velocity profiles of combined current-wave induced boundary layers, which are crucial for analyzing the on-bottom stability of near-seabed pipelines and cables. The characteristics of the combined wave-current boundary layer are strongly dependent on various parameters such as the wave period, the wave semi-excursion and the seabed roughness. Furthermore, there are also interactions between the current part and the wave part of the boundary layer, which influence the behaviors of their velocity profiles. To address these challenges, a data-driven model integrating one-dimensional Computational Fluid Dynamics (CFD) simulations and parametric mathematical expressions is proposed to predict the velocity profiles of the current and the first harmonic of the wave part for the boundary layer. CFD simulations are performed to generate the velocity profiles under different flow conditions and the database for the variables in the mathematical expression is built. An interpolation methodology based on the database is used to obtain the corresponding variables under a new given flow parameter set. This framework is then validated against numerical simulations and experimental data.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"166 ","pages":"Article 104877"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145734802","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
Physical modelling of the SeAbacus wave energy converter SeAbacus波浪能量转换器的物理模拟
IF 4.4 2区 工程技术 Q1 ENGINEERING, OCEAN Pub Date : 2026-01-01 Epub Date: 2026-01-15 DOI: 10.1016/j.apor.2025.104905
Barbara Zanuttigh, Paola Pareschi, Elisa Dallavalle, Sara Mizar Formentin, Maria Gabriella Gaeta
The SeAbacus is a new patent for a floating offshore wave attenuator, which essentially consists of a rafted Salter’s Duck. It is modular, suitable also for low-energy seas and for array installation. This paper presents the first physical model tests carried out in the wave tank at the Hydraulic Laboratory of the University of Bologna. The tests focused on the effects of the device shape (by changing the shape of the Salter’s Duck) and of the mooring layout (by testing a Tension Leg Platform, a Catenary Anchor Leg Mooring configuration and a spread mooring system) under wave attacks characterised by different wave height, wave steepness and wave obliquity. The results of the tests highlight the relevance of the shape of the Salter’s Duck and the capability of the device of producing wave energy also in mild seas, provided a moderate wave steepness. Wave obliquity significantly decreases the device pitch motion. The mooring layout affects the device motions because the more rigid the moorings the higher the device pitch due to combined motions of the raft and of the Salter’s Duck. The best compromise between device pitch motions and mooring loads was achieved with the spread mooring system.
SeAbacus是一项海上浮动波浪衰减器的新专利,它基本上由一个漂流的索尔特鸭组成。它是模块化的,也适用于低能源海洋和阵列安装。本文介绍了在博洛尼亚大学水力实验室波浪槽中进行的第一次物理模型试验。测试的重点是设备形状(通过改变Salter 's Duck的形状)和系泊布局(通过测试张力腿平台、悬链锚腿系泊配置和扩展系泊系统)在不同波高、波陡和波斜度的波浪攻击下的影响。测试结果强调了索尔特鸭的形状与该装置在温和海域产生波浪能的能力之间的相关性,前提是波浪陡度适中。波的倾角显著降低了器件的俯仰运动。系泊布局会影响设备的运动,因为系泊越刚性,由于筏和索尔特鸭的联合运动,设备的螺距就越高。扩展系泊系统实现了设备俯仰运动和系泊载荷之间的最佳折衷。
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引用次数: 0
Multi-scale simulation of pore structure and permeability of brittle coral gravel using X-ray computerized tomography and pore network modeling 基于x射线计算机断层扫描和孔隙网络模型的脆性珊瑚砾石孔隙结构和渗透率多尺度模拟
IF 4.4 2区 工程技术 Q1 ENGINEERING, OCEAN Pub Date : 2026-01-01 Epub Date: 2026-01-09 DOI: 10.1016/j.apor.2026.104924
Lei Yan , Xianwei Zhang , Xinyu Liu , Qingzhi Wang , Gang Wei , Xinming Li , Gang Wang
As a distinctive geotechnical material commonly found in coastal and island strata, coral gravel (CG) has irregular morphology and high porosity and susceptibility to breakage because of its biological origins and carbonate brittleness. These properties have significant influences on the mechanics and hydraulics of CG, but how its pore structure and permeability characteristics evolve during particle fragmentation is yet to be studied. This study uses X-ray computed tomography (X-CT) in combination with pore network modeling to develop a multi-scale analytical approach for the nondestructive dynamic simulation of particle breakage, investigating the morphological features, pore structure, and permeability of various types of CG. The multiscale analysis validates the classification of CG pores into three categories, i.e., intraparticle pores, blind pores, and through pores, and CG is found to have generally higher intraparticle porosity (about 5% on average) than calcareous sand. Also, the positive correlations between the permeability k and both the through porosity ɸt and the pore structure parameters (PSPs) of CG are established as k = 8.23 × 10–12 × (ɸt)0.57 and k = C ln (PSP) +D. A mechanism is proposed for how the pore structure evolves during particle breakage, focusing on changes in porosity and permeability. The X-CT-based multi-scale simulation method provides valuable insights into how microscopic pore structures influence the mechanical properties and fluid permeability of CG during particle fragmentation. These findings offer insights into the properties of CG in order to promote marine engineering construction.
珊瑚砾石(CG)是一种独特的岩土材料,常见于海岸和岛屿地层中,由于其生物成因和碳酸盐脆性,其形态不规则,孔隙率高,易破碎。这些性质对CG的力学和水力学有重要影响,但颗粒破碎过程中其孔隙结构和渗透率特征的变化规律仍有待研究。本研究利用x射线计算机断层扫描(X-CT)结合孔隙网络建模,建立了一种多尺度的无损动态模拟颗粒破碎的分析方法,研究了不同类型CG的形态特征、孔隙结构和渗透率。通过多尺度分析,将CG孔隙划分为颗粒内孔隙、盲孔和透孔三大类,发现CG的颗粒内孔隙度普遍高于钙质砂,平均约为5%。建立了渗透率k与孔隙度h t及孔隙结构参数(PSPs)的正相关关系:k = 8.23 × 10-12 × (h t)0.57, k = C ln (PSP) +D。提出了颗粒破碎过程中孔隙结构的演化机制,重点研究了孔隙度和渗透率的变化。基于x - ct的多尺度模拟方法为微观孔隙结构如何影响颗粒破碎过程中CG的力学性能和流体渗透率提供了有价值的见解。这些发现提供了对CG特性的深入了解,以促进海洋工程建设。
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引用次数: 0
A theoretical approach for irregular wave attenuation through vegetation and application to spectral wave models 通过植被的不规则波衰减的理论方法及其在光谱波模型中的应用
IF 4.4 2区 工程技术 Q1 ENGINEERING, OCEAN Pub Date : 2026-01-01 Epub Date: 2026-01-06 DOI: 10.1016/j.apor.2025.104915
Niels Gjøl Jacobsen
The present work proposes an analytical model for the irregular wave field in submerged and emergent canopies, and the model is based on linear superposition of the solution to the linearized momentum equation. The model naturally resolves the in-canopy velocity reduction due to vegetation, so a spectral dissipation model derived from a (more) accurate in-canopy velocity field can be derived, whereby eliminating the commonly used assumption of validity of linear wave theory within the canopy. The new dissipation model is applied for validation against 137 laboratory studies for emergent, submerged, rigid, and flexible canopies, and it is concluded that an accurate spectral wave transformation can be achieved by utilizing a single and fixed set of force coefficients (hydrodynamic drag and inertia). The model is also applied to the understanding of (i) the common hyperbolic form of closure coefficients in the literature and (ii) the transformation of single- and double-peaked wave spectra through canopies and its importance to the change in spectral wave periods.
本文提出了一种基于线性化动量方程解的线性叠加的淹没树冠和突发性树冠中不规则波场的解析模型。该模型自然地解决了植被造成的冠层内速度降低,因此可以推导出一个更精确的冠层内速度场的谱耗散模型,从而消除了通常使用的冠层内线性波动理论的有效性假设。新的耗散模型应用于137个紧急、淹没、刚性和柔性冠层的实验室研究中,得出结论:利用一组固定的力系数(水动力阻力和惯性)可以实现精确的谱波变换。该模型还适用于理解(i)文献中闭合系数的常见双曲形式和(ii)单峰和双峰波谱通过冠层的变换及其对波谱周期变化的重要性。
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引用次数: 0
Deep learning-based detection of buried objects in marine sediments using time-frequency spectrograms from sub-bottom profiling data 基于深度学习的海底剖面数据时频谱检测海洋沉积物中埋藏物
IF 4.4 2区 工程技术 Q1 ENGINEERING, OCEAN Pub Date : 2026-01-01 Epub Date: 2026-01-05 DOI: 10.1016/j.apor.2025.104911
Lingyi Cong , Jianglong Zheng , Luotao Zhang , Shuyue Liu , Qingjie Zhou , Xinghua Zhou , Xiaobo Zhang
Accurate detection of buried objects in marine sediments remains a challenging task due to the complex seafloor conditions and the low signal-to-noise ratios of target echo signals. To address this issue, this paper presents a deep learning-based approach for detecting buried objects and obtaining their information in the marine sediments. In this method, time-frequency spectrograms generated from sub-bottom profiling acoustic pressure signals are utilized as input data, and the SBONet architecture is proposed to accurately identify targets. The SBONet employs data augmentation strategies on time-frequency spectrograms to enhance deep-level feature extraction. It incorporates a Transformer encoder for global feature extraction and integrates a Multi-Layer Perceptron for multi-task classification of target material properties, geometric shapes, and burial depths. To address the limited availability of field data, this paper constructs a comprehensive simulated dataset using Finite Element Method modeling of multi-layered marine sediments containing various buried targets. The effectiveness of the proposed method is validated using field data collected from the southern waters near the mouth of Hangzhou Bay. Experimental results demonstrate that SBONet achieves superior prediction accuracy on both noise-free and Gaussian noise-augmented datasets, outperforming existing mainstream models. Additionally, the method exhibits high prediction accuracy when applied to actual sub-bottom profiling data of buried pipelines in the southern waters near the mouth of Hangzhou Bay. The research findings validate the feasibility and effectiveness of integrating physical modeling with deep learning approaches for buried objects detection in complex marine environments.
由于海底条件复杂,目标回波信号信噪比低,准确探测海洋沉积物中的埋藏物仍然是一项具有挑战性的任务。为了解决这一问题,本文提出了一种基于深度学习的方法来检测海洋沉积物中的埋藏物体并获取其信息。该方法利用亚底剖面声压信号产生的时频谱图作为输入数据,提出了基于SBONet结构的精确目标识别方法。该算法在时频谱图上采用数据增强策略来增强深度特征提取。它集成了一个变压器编码器用于全局特征提取,并集成了一个多层感知器用于目标材料属性、几何形状和埋藏深度的多任务分类。为解决现场数据可用性有限的问题,本文采用有限元方法对含有多种埋藏目标的多层海洋沉积物进行建模,构建了综合模拟数据集。利用杭州湾口附近南部海域的实测数据,验证了该方法的有效性。实验结果表明,无论在无噪声数据集上还是在高斯噪声增强数据集上,该算法都取得了较好的预测精度,优于现有的主流模型。此外,将该方法应用于杭州湾入海口南部海域埋地管线的实际亚底剖面数据,具有较高的预测精度。研究结果验证了将物理建模与深度学习方法相结合用于复杂海洋环境下地埋目标检测的可行性和有效性。
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引用次数: 0
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Applied Ocean Research
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