European Journal of Mechanics B-fluids最新文献_第6页

Sliding dynamics of shear-thinning liquid droplets on inclined compliant hydrophobic substrates 倾斜柔顺疏水基板上剪切减薄液滴的滑动动力学

IF 2.5 3区工程技术 Q2 MECHANICS

European Journal of Mechanics B-fluids

Pub Date : 2025-11-03 DOI: 10.1016/j.euromechflu.2025.204404

Rohit, Ashish Sonker, Abhishek Raj

This study numerically and experimentally investigates the motion of a shear-thinning liquid droplet on an inclined compliant substrate, highlighting its distinct dynamics compared to Newtonian fluids. Unlike Newtonian liquids with constant viscosity, the shear-thinning droplet exhibits variations in viscosity due to differences in shear rate across its height. These viscosity changes significantly influence its movement, interaction with the substrate, and deformation. Newtonian (

μ ₀

) and Newtonian

(μ_{\infty})

, were selected to match the zero- shear viscosity

(μ ₀)

and infinite shear viscosity

{(μ}_{\infty})

of the shear-thinning liquid (XG-1) for comparative analysis. The shear-thinning droplet (XG-1) was found to have a velocity 8.76 % lower than the low-viscosity Newtonian (

μ_{\infty}

) droplet but 528 % higher than the high-viscosity Newtonian (

μ_{0}

) droplet. Consequently, its displacement was found to be 7.5 % lesser than Newtonian (

μ_{\infty}

) but 171 % greater than Newtonian (

μ_{0}

). Compared to Newtonian liquids, the shear-thinning droplet exhibits moderate fluctuations in base length and height, as well as an intermediate level of contact angle hysteresis (CAH). The motion of the droplet also affects the deformation in the flexible substrate, leading to 6.5 % greater membrane deflection than Newtonian (

μ_{\infty}

) but 7.63 % less than Newtonian (

μ_{0}

). The deformation of the shear-thinning droplet is significant due to rapid viscosity transitions, distinguishing it from the stable shape of a highly viscous Newtonian

(μ_{0})

droplet. Changes in membrane flexural rigidity and droplet size further influence displacement, deformation, and wobbling. Higher flexural rigidity reduces membrane deflection, increases droplet displacement, and reduces droplet CAH, while larger droplets with higher Bond numbers experience greater deformation and instability. These findings provide valuable insights into the role of viscosity variations in droplet dynamics.

本研究通过数值和实验研究了剪切变薄液滴在倾斜柔顺基底上的运动，突出了与牛顿流体相比其独特的动力学特性。与具有恒定粘度的牛顿液体不同，剪切变薄液滴由于其高度上剪切速率的差异而表现出粘度的变化。这些粘度变化显著影响其运动、与基体的相互作用和变形。选择牛顿（μ 0）和牛顿μ∞来匹配剪切减稀液（XG-1）的零剪切粘度（μ 0）和无限剪切粘度（μ∞），进行对比分析。剪切减薄液滴（XG-1）的速度比低粘度牛顿液滴（μ∞）低8.76%，比高粘度牛顿液滴（μ0）高528%。因此，其位移比牛顿量（μ∞）小7.5%，比牛顿量（μ0）大171%。与牛顿液体相比，剪切变薄液滴在基底长度和高度上表现出适度的波动，以及中等水平的接触角滞后（CAH）。液滴的运动也会影响柔性衬底的变形，导致膜挠度比牛顿（μ∞）大6.5%，比牛顿（μ0）小7.63%。剪切变薄液滴的变形是显著的，由于快速的粘度转变，区别于高粘性牛顿（μ0）液滴的稳定形状。薄膜抗弯刚度和液滴尺寸的变化进一步影响位移、变形和摆动。较高的抗弯刚度降低了膜挠度，增加了液滴位移，降低了液滴CAH，而越大的液滴，键数越高，变形和不稳定性越大。这些发现为液滴动力学中粘度变化的作用提供了有价值的见解。

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引用次数: 0

Deterministic diffusion models for Lagrangian turbulence: Robustness and encoding of extreme events 拉格朗日湍流的确定性扩散模型：极端事件的鲁棒性和编码

IF 2.5 3区工程技术 Q2 MECHANICS

European Journal of Mechanics B-fluids

Pub Date : 2025-11-03 DOI: 10.1016/j.euromechflu.2025.204402

Tianyi Li , Flavio Tuteri , Michele Buzzicotti , Fabio Bonaccorso , Luca Biferale

Modeling Lagrangian turbulence remains a fundamental challenge due to its multiscale, intermittent, and non-Gaussian nature. Recent advances in data-driven diffusion models have enabled the generation of realistic Lagrangian velocity trajectories that accurately reproduce statistical properties across scales and capture rare extreme events. This study investigates three key aspects of diffusion-based modeling for Lagrangian turbulence. First, we assess architectural robustness by comparing a U-Net backbone with a transformer-based alternative, finding strong consistency in generated trajectories, with only minor discrepancies at small scales. Second, leveraging a deterministic variant of diffusion model formulation, namely the deterministic denoising diffusion implicit model (DDIM), we identify structured features in the initial latent noise that align consistently with extreme acceleration events. Third, we explore accelerated generation by reducing the number of diffusion steps, and find that DDIM enables substantial speedups with minimal loss of statistical fidelity. These findings highlight the robustness of diffusion models and their potential for interpretable, scalable modeling of complex turbulent systems.

由于拉格朗日湍流的多尺度、间歇性和非高斯性质，其建模仍然是一个根本性的挑战。数据驱动扩散模型的最新进展使得生成真实的拉格朗日速度轨迹能够准确地再现跨尺度的统计特性并捕获罕见的极端事件。本研究探讨了拉格朗日湍流基于扩散建模的三个关键方面。首先，我们通过比较U-Net主干与基于变压器的替代方案来评估体系结构的鲁棒性，发现生成的轨迹具有很强的一致性，在小尺度上只有微小的差异。其次，利用扩散模型公式的确定性变体，即确定性去噪扩散隐式模型（DDIM），我们在初始潜在噪声中识别与极端加速事件一致的结构化特征。第三，我们通过减少扩散步骤的数量来探索加速生成，并发现DDIM可以在最小的统计保真度损失的情况下实现实质性的加速。这些发现突出了扩散模型的稳健性及其对复杂湍流系统的可解释、可扩展建模的潜力。

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引用次数: 0

Interpretability of snapshot-based convolutional autoencoder for flow decomposition and feature decoupling 基于快照的卷积自编码器流分解和特征解耦的可解释性

IF 2.5 3区工程技术 Q2 MECHANICS

European Journal of Mechanics B-fluids

Pub Date : 2025-10-30 DOI: 10.1016/j.euromechflu.2025.204400

Qingliang Zhan , Zhiyong Wang , Zihan Cao , Xin Liu

Image-based deep learning methods, such as two dimensional convolutional neural networks, have recently played an increasingly important role in the study of fluids. However, the flow decomposition mechanism of these deep learning models remains open. In this work, by extracting and decoupling the spatial features hidden in the snapshots, the physical meaning of the flow decomposition and order reduction model is investigated. The observed snapshot at each time stamp is compressed into a low dimensional latent code with independent component by the encoder, and then the decoder reconstructs the flow spatial feature from the latent space, forming an unsupervised scheme for flow decomposition. Laminar and turbulent flows around circular cylinder at Re= 100 and Re= 3900 are analyzed. The results of the laminar case show that the code parameters represent the magnitude of respective spatial features at each instant, while the decoder output of the unit latent vector is the corresponding flow spatial mode. Furthermore, the turbulence results indicate that the deep learning models are more accurate in reconstructing the turbulence than conventional linear theory-based method, while maintaining the independence of the decomposed features. This study presents the decomposition mechanism and the interpretability of 2-dimensional convolutional autoencoders for flow decomposition and feature decoupling.

基于图像的深度学习方法，如二维卷积神经网络，最近在流体研究中发挥着越来越重要的作用。然而，这些深度学习模型的流分解机制仍然是开放的。本文通过提取和解耦隐藏在快照中的空间特征，研究了流分解和降阶模型的物理意义。编码器将每个时间戳的观测快照压缩成具有独立分量的低维潜码，然后由该潜码重构流空间特征，形成无监督流分解方案。分析了Re= 100和Re= 3900时圆柱周围的层流和湍流。层流情况下的结果表明，编码参数代表了每个瞬间各自空间特征的大小，而单位潜在向量的解码器输出是相应的流空间模式。此外，湍流结果表明，深度学习模型比传统的基于线性理论的方法更准确地重建湍流，同时保持了分解特征的独立性。本文研究了二维卷积自编码器的流分解和特征解耦的分解机制和可解释性。

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引用次数: 0

Deep learning framework for casson fluid flow: A PINN approach to heat and mass transfer with chemical reaction and viscous dissipation 卡森流体流动的深度学习框架：具有化学反应和粘性耗散的传热传质的PINN方法

IF 2.5 3区工程技术 Q2 MECHANICS

European Journal of Mechanics B-fluids

Pub Date : 2025-10-29 DOI: 10.1016/j.euromechflu.2025.204401

Shravan Kumar Rudrabhatla , D. Srinivasacharya

Physics-Informed Neural Networks (PINNs) provide a powerful framework for solving complex engineering problems by integrating governing physical laws with noisy or incomplete data. This study applies PINNs to analyse boundary layer flow and heat transfer in a non-Newtonian Casson fluid over a vertically stretching sheet. By incorporating physical constraints into the network’s loss function, PINNs optimise weights and biases to approximate solutions of governing ordinary differential equations (ODEs), ensuring physics-consistent predictions. Key parameters such as the Casson fluid parameter, chemical reaction parameter, thermal and concentration buoyancy parameters, Eckert number, Prandtl number, and suction/injection parameter are examined. The effects of these parameters on flow, temperature, and concentration fields are analysed using graphical representations. Furthermore, the accuracy of the PINN-based approach is validated through a comparative study with MATLAB’s BVP4C routine (Boundary Value Problem 4th-Order Collocation), demonstrating strong agreement and confirming its effectiveness in solving nonlinear differential equations in heat and mass transfer problems.

物理信息神经网络（pinn）通过将控制物理定律与嘈杂或不完整的数据相结合，为解决复杂的工程问题提供了强大的框架。本研究应用PINNs分析了非牛顿卡森流体在垂直拉伸薄片上的边界层流动和传热。通过将物理约束纳入网络的损失函数，pinn优化权重和偏差，以近似控制常微分方程（ode）的解，确保物理一致的预测。考察了卡森流体参数、化学反应参数、热和浓浮力参数、Eckert数、Prandtl数、吸注参数等关键参数。这些参数对流量、温度和浓度场的影响用图形表示进行了分析。此外，通过与MATLAB的BVP4C例程（边值问题四阶配置）的对比研究，验证了基于pnp的方法的准确性，证明了其在求解传热传质问题非线性微分方程中的有效性。

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引用次数: 0

Compressible effects in the propagation of nonlinear shallow water waves: Models and simulations 非线性浅水波浪传播中的可压缩效应：模型和模拟

IF 2.5 3区工程技术 Q2 MECHANICS

European Journal of Mechanics B-fluids

Pub Date : 2025-10-28 DOI: 10.1016/j.euromechflu.2025.204397

E. Zuccoli, U. Kadri

We investigate the effects of compressibility in the propagation of shallow-water waves and extend the classical shallow-water equations to a compressible regime. Both non-dispersive and weakly-dispersive nonlinear waves are then analysed with the help of the multiple scales method, ultimately leading to the studying of a Burgers and a Korteweg–deVries equation, respectively. A parametric study is conducted in order to investigate the interplay of both nonlinearity and compressibility and assess how compressibility may alter the nonlinear properties of the waves. In particular, parameters varied are the compressibility coefficient

μ

, the amplitude of the waves

ϵ

and the width of the initial wave profile

σ

. In a non-dispersive regime, shock and rarefaction waves form and interact one another leading to a progressive reduction of the wave amplitude in time. The compressibility of the fluid

μ

speeds up the shock formation, with beneficial effects in terms of wave amplitude reduction. In a weakly dispersive regime, on the other hand, higher compressibility values may amplify the initial perturbation, leading to the formation of a discrete number of solitons having amplitudes much greater than the amplitude at the initial stage. The analysis presented in this work aims at improving our predictions on the dynamics of nonlinear compressible shallow-water waves both in terms of wave amplitude variation and propagation time. Among various applications, our enhanced models can notably improve the estimation of tsunami arrival times and contribute to more accurate weather forecasts. Furthermore, the work presented here lays the foundation for future experimental studies and assessments in this field.

我们研究了可压缩性对浅水波传播的影响，并将经典浅水方程推广到可压缩状态。然后用多尺度方法分析非色散和弱色散非线性波，最终分别得到Burgers方程和Korteweg-deVries方程。为了研究非线性和可压缩性的相互作用，并评估可压缩性如何改变波的非线性特性，进行了参数化研究。具体而言，变化的参数是压缩系数μ、波幅值λ和初始波廓线宽度σ。在非色散状态下，激波和稀薄波形成并相互作用，导致波振幅随时间逐渐减小。流体的可压缩性μ加速了激波的形成，在波幅减小方面产生了有益的影响。另一方面，在弱色散状态下，较高的压缩率值可能会放大初始扰动，导致形成离散数量的孤子，其振幅远大于初始阶段的振幅。在这项工作中提出的分析旨在改进我们对非线性可压缩浅水波的振幅变化和传播时间的动力学预测。在各种应用中，我们的增强模式可以显著改善海啸到达时间的估计，并有助于更准确的天气预报。此外，本文提出的工作为该领域未来的实验研究和评估奠定了基础。

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引用次数: 0

Turbulent/non-turbulent interface detection methods for turbulent shear flows 湍流剪切流的湍流/非湍流界面检测方法

IF 2.5 3区工程技术 Q2 MECHANICS

European Journal of Mechanics B-fluids

Pub Date : 2025-10-28 DOI: 10.1016/j.euromechflu.2025.204398

Shuo Peng, Qian Chen

The turbulent/non-turbulent interface (TNTI) is a thin layer with a steep gradient of vorticity magnitude that separates turbulent from irrotational fluids in turbulent shear flows. The interface plays a crucial role in the exchange of mass, momentum and energy and scalars between the two sides, as the properties of the fluids on either side differ significantly. Consequently, accurately detecting the TNTI is essential for the study of related physical phenomena. Currently, various methods for TNTI detection have been developed. This paper provides a comprehensive review of the primary TNTI detection methods, beginning with three typical methods based on vorticity, passive scalars, and turbulent kinetic energy. These methods are thoroughly analyzed in terms of their detection mechanisms, detection threshold selection criteria, and overall performance in diverse flow environments. Furthermore, the paper explores innovative methods that have been developed in recent years, such as machine learning approaches, the homogeneity criterion, and virtual particle tracking methods. Finally, the paper synthesizes the strengths and limitations of these TNTI detection methods and offers insights into future research on the detection of the TNTI.

湍流/非湍流界面（TNTI）是在湍流剪切流动中分离湍流和无旋转流体的一层具有陡峭涡度梯度的薄层。界面在两边的质量、动量、能量和标量交换中起着至关重要的作用，因为两边的流体性质差别很大。因此，准确检测TNTI对于相关物理现象的研究至关重要。目前，已经开发了各种检测TNTI的方法。本文从基于涡度、被动标量和湍流动能的三种典型的TNTI检测方法开始，全面综述了TNTI的主要检测方法。对这些方法的检测机制、检测阈值选择标准以及在不同流量环境中的总体性能进行了全面分析。此外，本文还探讨了近年来发展起来的创新方法，如机器学习方法、同质性准则和虚拟粒子跟踪方法。最后，本文综合了这些TNTI检测方法的优势和局限性，并对TNTI检测的未来研究提出了见解。

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引用次数: 0

Development of a novel empirical correlation for vortex head in gravitational water vortex 重力水涡中涡头的一种新的经验相关的发展

IF 2.5 3区工程技术 Q2 MECHANICS

European Journal of Mechanics B-fluids

Pub Date : 2025-10-23 DOI: 10.1016/j.euromechflu.2025.204399

Nayab , Taqi Ahmad Cheema , Naveed Razzaq Butt , Atif Muzaffar , Rizwan Ullah

Gravitational vortex systems (GVS) are defined as systems that leverage gravitational vortices for applications such as energy generation and heat transfer in basins free from obstructions. These basins are commonly of two types: cylindrical and conical. Under the given flow conditions, fluid properties, and geometric dimensions of the basin, the vortex rises to a certain height, termed as the vortex head, which is the most crucial parameter for designing these systems. However, the absence of predictive tools for vortex head often leads to basin designs that fail to form a proper vortex head, causing overflow or turbine submergence in vortex powerplants, or uneven heating in vortex basins used for heat exchangers. Traditional methods regulate the flowrate to control the vortex head in vortex basins, but this approach compromises the strength of the vortex. To address this, an empirical framework has been developed to predict the vortex head based on flow conditions, fluid properties, and basin geometry. The correlation includes four dimensionless numbers: the orifice-to-basin diameter ratio (d/D), a geometric-to-flow parameters ratio, a vortex strength number (V_N), and free stream turbulence (FST). The applicability of the model is limited to cylindrical and conical basins without internal obstructions, for diameter ratios up to d/D ≤ 0.18, and with water used as the only working fluid. Statistical evaluation of the model shows a high degree of accuracy, with a coefficient of determination (R²) of 0.942, root means square error (RMSE) of 0.073 and mean average error (MAE) of 0.054. Residual error analysis confirms the consistency and reliability of the predictions. The model estimates vortex head within a ± 20 % tolerance and offers a practical design tool for laboratory-scale setups and industrial-scale gravitational vortex applications.

重力涡系统（GVS）被定义为利用重力涡在无障碍物的盆地中进行能源产生和传热等应用的系统。这些盆地通常有两种类型：圆柱形和锥形。在给定的流动条件、流体性质和盆地的几何尺寸下，涡流上升到一定的高度，称为涡头，这是设计这些系统最关键的参数。然而，由于旋涡头预测工具的缺乏，往往导致水池设计不能形成适当的旋涡头，导致涡电厂溢流或涡轮淹没，或用于热交换器的涡池加热不均匀。传统的方法是通过调节流量来控制涡池中的涡头，但这种方法会损害涡的强度。为了解决这个问题，已经开发了一个基于流动条件、流体性质和盆地几何形状的经验框架来预测涡头。相关性包括四个无量纲数字：孔盆直径比（d/ d）、几何流量参数比、涡强度数（VN）和自由流湍流度（FST）。该模型的适用性仅限于没有内部障碍物的圆柱形和锥形盆地，直径比高达d/ d≤ 0.18，并且水作为唯一的工作流体。统计评价表明，该模型具有较高的准确性，决定系数（R2）为0.942，均方根误差（RMSE）为0.073，平均误差（MAE）为0.054。残差分析证实了预测的一致性和可靠性。该模型估计涡头在 ± 20 %的公差范围内，为实验室规模的设置和工业规模的重力涡应用提供了实用的设计工具。

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引用次数: 0

Dynamics of physiological blood flow in non-planar curved artery models 非平面弯曲动脉模型的生理血流动力学

IF 2.5 3区工程技术 Q2 MECHANICS

European Journal of Mechanics B-fluids

Pub Date : 2025-10-20 DOI: 10.1016/j.euromechflu.2025.204396

Sepideh Salimi, Hamid Sadat

High-fidelity simulations are conducted to analyze physiological flows in non-planar curved artery models using physiological flow rates under pulsatile flow conditions. Additional simulations are performed under steady flow conditions at various Reynolds numbers, as well as for planar curved models for comparison. The results indicate that the torsion-induced effects are more pronounced under pulsatile flow than in steady conditions. During the acceleration phase, streamwise velocity peaks near the outer-upper wall close to the inlet and gradually shifts toward the outer-lower wall downstream, reinforcing asymmetric centrifugal effects. As flow transitions to deceleration, the streamwise velocity weakens, but the secondary flows intensify, further highlighting the influence of torsion. These asymmetric secondary flows lead to pronounced differences between the upper and lower deformed Dean (DD) vortices, with the lower DD vortex typically becoming larger and more persistent. Torsion also alters the trajectory and strength of deformed Lyne (DL) and split-Dean (SD) vortices, resulting in earlier vortex splitting and more complex interactions along the pipe, including asymmetric merging between upper and lower structures. Furthermore, torsion alters the wall shear stress (WSS) patterns, leading to asymmetric WSS distributions with localized regions of elevated and reduced WSS on the upper and lower walls, along with high oscillatory behavior throughout the cardiac cycle.

采用脉动流条件下的生理流速，对非平面弯曲动脉模型进行了高保真模拟。在不同雷诺数的稳定流动条件下进行了额外的模拟，并对平面弯曲模型进行了比较。结果表明，在脉动工况下，扭转效应比稳定工况下更为明显。在加速阶段，沿流速度在靠近进气道的外上壁附近达到峰值，并逐渐向下游的外下壁移动，增强了非对称离心效应。当气流向减速过渡时，向流速度减弱，但二次流加剧，进一步凸显了扭转的影响。这些不对称的二次流导致了上下形变迪安（DD）涡之间的显著差异，下形变迪安（DD）涡通常变得更大、更持久。扭转还会改变变形Lyne （DL）和分裂- dean （SD）涡流的轨迹和强度，导致涡流分裂更早，以及管道沿线更复杂的相互作用，包括上下结构之间的不对称合并。此外，扭转改变了壁面剪切应力（WSS）模式，导致壁面剪切应力分布不对称，在上下壁面局部区域WSS升高或降低，并在整个心脏周期中具有高振荡行为。

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引用次数: 0

Vortices vs. magnetic fields: Competing orders in flux tubes 漩涡与磁场：磁通管中的竞争顺序

IF 2.5 3区工程技术 Q2 MECHANICS

European Journal of Mechanics B-fluids

Pub Date : 2025-10-18 DOI: 10.1016/j.euromechflu.2025.204393

Weiyu Shen , Rodolfo Ostilla-Mónico , Xiaojue Zhu

Solar atmosphere hosts intricate interactions between vortex tubes and magnetic flux, which channel convective energy into the upper atmosphere and shape large-scale magnetic activity. To probe these dynamics in a controlled setting, we perform direct numerical simulations of antiparallel vortex tubes embedded with magnetic flux tubes, varying the interaction parameter

N_{i}

that measures the Lorentz–inertial balance. High-resolution visualizations uncover distinct regimes of coupled evolution, including vortex-dominated reconnection, Lorentz-suppressed reconnection, instability-triggered cascades, and Lorentz-induced vortex disruption. The rendered structures highlight not only the physical transitions but also the striking morphologies, ranging from braided filaments to spiralized cores, that emerge as magnetic intensity strengthens. These findings show how Lorentz–inertial balance regulates reconnection, instability, and energy transfer in magnetohydrodynamic flows.

太阳大气中有涡旋管和磁通量之间复杂的相互作用，它们将对流能量引导到上层大气中，形成大规模的磁活动。为了在受控环境下探测这些动力学，我们对嵌入磁通管的反平行涡旋管进行了直接数值模拟，改变了测量洛伦兹惯性平衡的相互作用参数Ni。高分辨率的可视化揭示了耦合进化的不同机制，包括涡旋主导的重联、洛伦兹抑制的重联、不稳定触发的级联和洛伦兹诱导的涡旋破坏。渲染的结构不仅突出了物理转变，而且突出了引人注目的形态，从编织细丝到螺旋形核心，随着磁场强度的增强而出现。这些发现显示了洛伦兹惯性平衡如何调节磁流体动力学流中的重联、不稳定性和能量传递。

引用次数: 0

Analysis of a moored floating piezoelectric wave energy converter in the presence of a wall 系泊浮式压电波能转换器在有壁条件下的分析

IF 2.5 3区工程技术 Q2 MECHANICS

European Journal of Mechanics B-fluids

Pub Date : 2025-10-14 DOI: 10.1016/j.euromechflu.2025.204390

Rajesh Ranjan Dora , Michael H. Meylan , Sanjay Kumar Mohanty

This study investigates wave energy extraction by a floating piezoelectric wave energy converter (PWEC) placed near a wall. The floating PWEC is anchored by mooring lines at its edges to the ocean bottom. This design simulates a potential real-world application of piezoelectric wave energy converters, and the wave-structure interaction is crucial in this arrangement as it influences the superposition of incoming, radiated, and reflected wave components. The coupled hydro-electromechanical equation and dispersion relation for a floating PWEC are derived. The eigenfunction expansion method is then used to investigate the energy extraction by the system. Also, the study examines reflection & dissipation coefficients, the bending moment & shear force of the floating PWEC, and wave force on the wall. Further, the time-dependent modeling of PWEC utilizing a Gaussian pulse is examined, and it is revealed that moored PWEC vibrates for longer times than free PWEC, indicating enhanced energy extraction. Furthermore, it is observed that positioning the PWEC next to a wall, structure, or breakwater can substantially increase energy production. Additionally, the moored PWEC can exhibit efficient damping effects near the wall or structure, making it a multifunctional device.

本文研究了放置在墙壁附近的浮动压电波能转换器（PWEC）对波浪能的提取。浮动的PWEC通过系泊线锚定在其边缘的海底。该设计模拟了压电波能量转换器的潜在现实应用，波结构相互作用在这种布置中至关重要，因为它影响入射波、辐射波和反射波分量的叠加。推导了浮式PWEC的水-机电耦合方程和色散关系。然后利用特征函数展开法研究了系统的能量提取。此外，还研究了浮动式PWEC的反射和耗散系数、弯矩和剪力以及壁面上的波浪力。此外，利用高斯脉冲对PWEC进行了时间相关建模，结果表明系泊PWEC比自由PWEC振动时间更长，表明能量提取能力增强。此外，可以观察到，将PWEC放置在墙壁，结构或防波堤旁边可以大大增加能源产量。此外，系泊PWEC可以在墙或结构附近表现出有效的阻尼效应，使其成为多功能设备。

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引用次数: 0