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Numerical modelling of air-induced drag reduction allowing the transition between bubbly, air layer and mixed regimes 允许在气泡、空气层和混合状态之间转换的空气诱导阻力减少的数值模拟
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.2025.104892
Benjamin Krull , Kasper Bilde , Christian Kringel , Richard Meller , Victor Molbak , Georgios Papaioannou , Fabian Schlegel , Matej Tekavčič , Filotas Tziaros
Air lubrication can reduce the frictional resistance of ships, leading to significant fuel cost savings. However, the performance of air lubrication systems varies considerably, depending on the operating conditions. Complex gas morphologies play a crucial role here but are difficult to predict. Such a variety of morphologies (bubbly flow, air layers, or mixed regimes) requires morphology-adaptive methods, such as MultiMorph. This method allows for multiple morphologies of a given phase, including the transfer between them. The injection of gas can result in air bubbles, air layers, or a mixed regime, based on local transfer mechanisms. The ability to predict these morphologies is a distinctive feature of this method. Alternative methods prescribe a specific regime a priori, and do not allow a transition. To assess the suitability of MultiMorph for air lubrication problems, two geometries with different complexities are considered. The first test validates the method against flat plate experiments. Various water velocity and gas flow rate combinations were considered to investigate their influence on gas morphology and the associated drag reduction. The second case features a three-dimensional ship hull geometry with two bubble injectors to test the applicability of the method to a more complex scenario, including a curved geometry. The method performs well in both test cases and qualifies as a useful tool for numerical investigations of air lubrication phenomena.
空气润滑可以减少船舶的摩擦阻力,从而大大节省燃料成本。然而,根据操作条件的不同,空气润滑系统的性能变化很大。复杂的气体形态在这里起着至关重要的作用,但很难预测。如此多样的形态(气泡流、空气层或混合状态)需要形态自适应方法,例如MultiMorph。这种方法允许给定相的多种形态,包括它们之间的转移。气体的注入可以产生气泡、空气层或基于局部传递机制的混合状态。预测这些形态的能力是这种方法的一个显著特征。替代方法预先规定了特定的制度,不允许过渡。为了评估multiorph对空气润滑问题的适用性,考虑了两种不同复杂程度的几何形状。第一个测试通过平板实验验证了该方法。考虑了不同的水流速和气体流速组合,以研究它们对气体形态和相关减阻的影响。第二种情况是三维船体几何形状,带有两个气泡喷射器,以测试该方法在更复杂场景(包括弯曲几何形状)中的适用性。该方法在两个试验用例中均表现良好,可作为空气润滑现象数值研究的有用工具。
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引用次数: 0
Physics-informed dimensionality reduction for propeller shape optimization 螺旋桨形状优化的物理信息降维
IF 4.4 2区 工程技术 Q1 ENGINEERING, OCEAN Pub Date : 2026-01-01 Epub Date: 2026-01-16 DOI: 10.1016/j.apor.2026.104932
Stefano Gaggero , Andrea Serani
The design of marine propellers is challenged by high-dimensional parameter spaces and the need to balance efficiency with cavitation avoidance. Dimensionality reduction techniques offer a cost-effective way to address the curse of dimensionality, but geometry-based approaches such as parametric model embedding (PME) may neglect local features with strong hydrodynamic relevance. This work introduces the application of physics-informed PME (PI-PME) to propeller shape optimization, where physical observables, including pressure distributions and performance indicators, are embedded into the reduced-order space. A multi-objective optimization framework, based on boundary element method analyses and validated with Reynolds-averaged Navier–Stokes simulations, is applied to a cruise-ship propeller. Comparisons between original, PME-reduced, and PI-PME-reduced design spaces demonstrate that PI-PME preserves critical sectional features and significantly improves optimization results. The results highlight the benefits of integrating physical information into dimensionality reduction, enabling reliable, efficient, and physics-aware design optimization of marine propellers.
船舶螺旋桨的设计面临着高维参数空间和平衡效率与避免空化的挑战。降维技术为解决维数问题提供了一种经济有效的方法,但基于几何的方法(如参数模型嵌入(PME))可能会忽略与水动力密切相关的局部特征。这项工作介绍了物理信息PME (PI-PME)在螺旋桨形状优化中的应用,其中物理观察,包括压力分布和性能指标,被嵌入到降阶空间中。在边界元法分析的基础上,提出了一种多目标优化框架,并通过reynolds -average Navier-Stokes仿真验证了该框架的有效性。原始设计空间、减少pme设计空间和减少PI-PME设计空间之间的比较表明,PI-PME保留了关键截面特征,并显著改善了优化结果。结果强调了将物理信息集成到降维中的好处,从而实现可靠、高效和物理感知的船用螺旋桨设计优化。
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引用次数: 0
A reliability-prioritized adaptive real-time MBES data processing method for AUVs in complex environments 复杂环境下auv的可靠性优先自适应实时MBES数据处理方法
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.2025.104883
Jinyu Zhou, Toshihiro Maki
With their advanced autonomous navigation capabilities, AUVs are highly effective tools for detecting and analyzing intricate underwater structures. The challenges associated with real-time manual control place significant demands on AUV intelligence, particularly in data processing and environmental understanding. To enhance AUVs’ capacity for thorough exploration and identification of complex underwater structures, this research aims to develop an adaptive approach for processing MBES data. Conventional MBES data processing methods are largely designed for post-processing or real-time processing under predefined conditions. However, these methods are insufficient for addressing the unpredictable and complex scenarios encountered during AUV surveys. To overcome these limitations, this paper presents a novel strategy for MBES data processing. At its core is an adaptive algorithm designed to suppress unreliable MBES data, optimized for handling complex 3D targets, combined with a customized approach for target surface reconstruction. The proposed method significantly enhances AUVs’ ability to process MBES data and analyze underwater target surfaces in real time, thereby advancing their capabilities for autonomous exploration.
auv具有先进的自主导航能力,是探测和分析复杂水下结构的高效工具。与实时手动控制相关的挑战对AUV的智能提出了重大要求,特别是在数据处理和环境理解方面。为了提高auv对复杂水下结构进行深入探测和识别的能力,本研究旨在开发一种自适应的MBES数据处理方法。传统的MBES数据处理方法在很大程度上是为了在预定义条件下进行后处理或实时处理而设计的。然而,这些方法不足以解决AUV调查过程中遇到的不可预测和复杂情况。为了克服这些限制,本文提出了一种新的MBES数据处理策略。其核心是一种自适应算法,旨在抑制不可靠的MBES数据,针对处理复杂的3D目标进行了优化,并结合了目标表面重建的定制方法。该方法显著增强了auv处理MBES数据和实时分析水下目标表面的能力,从而提高了auv自主探测能力。
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引用次数: 0
Physics-informed online low-rank separation for weak target enhancement in rough seabed waveguides 基于物理信息的海底粗糙波导弱目标增强在线低秩分离
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.2025.104881
Jie Pang , Bo Gao , Zhou Zhen , Li Gongyun , Zhuang Tianyi , Yuan Shihai
We address weak bottom-target feature enhancement under strong rough-seabed reverberation with a physics-informed, online delay-spectrum (DS) separation framework. A roughness-aware ray model reveals that, in the DS domain, the stationary propagating field is low-rank while target returns are sparse. We develop two streaming algorithms: DS-incremental singular value decomposition (DS-iSVD) for single-pass, low-latency updates, and DS-Grassmannian optimization (DS-GO) for iterative refinement. Scaled-tank experiments with scaling factor (SF) 1000, peak signal-to-interference ratio (SIRpeak) 20.9 dB, and signal-to-noise ratio (SNR) 14.2 dB show that both methods demonstrate recovery of targets 20 dB below interference. DS-GO achieves mean SIR improvement ΔSIR 14.6 dB and improves separation accuracy versus DS-iSVD: mean center offset distance (COD) decreases from 0.112 s to 0.092 s (1) and from 0.121 s to 0.100 s (2); the mean 1-Wasserstein distance (W1) is 0.173 s. Monte Carlo (MC) SNR sweeps (0–10 dB) confirm robustness: DS-GO attains the best overall ridge score (RS), lowest W1 and COD, and highest peak hit rate (PHR) consistency with small variance, while DS-iSVD is a close second with the lowest latency. The approach enables real-time, physically interpretable feature enhancement for autonomous underwater vehicles (AUVs) and synthetic aperture sonar (SAS) in rough-bottom environments.
我们利用物理信息、在线延迟谱(DS)分离框架解决了强粗糙海底混响下的弱底目标特征增强问题。粗糙感知射线模型表明,在DS域中,平稳传播场是低秩的,目标回波是稀疏的。我们开发了两种流算法:用于单次低延迟更新的ds -增量奇异值分解(DS-iSVD)和用于迭代优化的DS-Grassmannian优化(DS-GO)。在标度因子(SF)为1000、峰值信噪比(SIRpeak)为−20.9 dB、信噪比(SNR)为14.2 dB的比例池实验中,两种方法均能将目标恢复到低于干扰20 dB的水平。相对于DS-iSVD, DS-GO的平均SIR提高ΔSIR≈14.6 dB,分离精度提高:平均中心偏移距离(COD)从0.112 s降至0.092 s(1),从0.121 s降至0.100 s (2);平均1-Wasserstein距离(W1)为0.173 s。蒙特卡罗(MC)信噪比扫描(0-10 dB)证实了稳健性:DS-GO获得了最佳的总体脊评分(RS),最低的W1和COD,最高的峰值命中率(PHR)一致性,方差较小,而DS-iSVD以最低的延迟紧随其后。该方法可以实时增强自主水下航行器(auv)和合成孔径声纳(SAS)在粗糙海底环境中的物理可解释特征。
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引用次数: 0
POD-Galerkin reduced-order modeling of the El Niño-Southern Oscillation (ENSO) El Niño-Southern振荡(ENSO)的POD-Galerkin降阶模型
IF 4.4 2区 工程技术 Q1 ENGINEERING, OCEAN Pub Date : 2026-01-01 Epub Date: 2025-12-19 DOI: 10.1016/j.apor.2025.104893
Yusuf Aydogdu , Navaratnam Sri Namachchivaya
Reduced-order modeling (ROM) aims to mitigate computational complexity by reducing the size of a high-dimensional state space. In this study, we demonstrate the efficiency, accuracy, and stability of proper orthogonal decomposition (POD)-Galerkin ROM when applied to the El Niño-Southern Oscillation model, which integrates coupled atmosphere, ocean, and sea surface temperature (SST) mechanisms in the equatorial Pacific. While POD identifies the most energetic modes of a system from simulation data, the Galerkin projection maps the governing equations onto these reduced modes to derive a simplified dynamical system. Leveraging the unique coupling properties of the model, we propose a novel approach to formulate a reduced-order model derived from Galerkin projection. Our approach achieves remarkable computational efficiency, requiring only four POD modes. The results provide highly stable and accurate solutions over 95% compared to the high-dimensional full-order model (FOM), highlighting the potential of POD-Galerkin reduction for efficient and accurate climate simulations.
降阶建模(ROM)旨在通过减小高维状态空间的大小来降低计算复杂度。在这项研究中,我们证明了适当正交分解(POD)-Galerkin ROM应用于El Niño-Southern振荡模式时的效率、准确性和稳定性,该模式集成了赤道太平洋大气、海洋和海表温度(SST)耦合机制。当POD从模拟数据中识别系统的最高能量模式时,伽辽金投影将控制方程映射到这些简化模式上,从而推导出简化的动力系统。利用该模型独特的耦合特性,提出了一种基于伽辽金投影的降阶模型的构造方法。我们的方法实现了显著的计算效率,只需要四个POD模式。与高维全阶模型(FOM)相比,结果提供了95%以上的高度稳定和精确的解,突出了POD-Galerkin约简在高效和准确的气候模拟中的潜力。
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引用次数: 0
The dominant role of jetting in micron- and sub-micron sea spray produced by bubble bursting: A revised model and comparison with measurements 气泡破裂产生的微米和亚微米海水喷雾中喷射的主导作用:修正模型和与测量的比较
IF 4.4 2区 工程技术 Q1 ENGINEERING, OCEAN Pub Date : 2026-01-01 Epub Date: 2025-12-08 DOI: 10.1016/j.apor.2025.104891
Alfonso M. Gañán-Calvo , Miguel A. Herrada , José M. López-Herrera
The size distribution of sub-micron sea spray aerosols (SSA) is a critical component of climate models, yet the primary physical mechanism governing their production – specifically the competition between film and jet droplets from bubble bursting – has remained a subject of intense debate. This work presents a revised, first-principles model to quantitatively resolve this controversy and demonstrate the dominance of jetting for producing micron and sub-micron aerosols. Our approach first rules out the film droplet mechanism as a primary contributor for this size range by demonstrating through physical scaling and numerical simulations that the final average ejected volume of sub-micron droplets is significantly smaller than that from jetting. We then construct a comprehensive global probability distribution function (PDF) for SSA by rigorously modeling its fundamental components in sequence: (i) refining the sub-surface bubble size distribution with a simpler and better experimentally supported exponential law, and (ii) deriving novel scaling laws for the number and size distribution of droplets per bursting event from a large set of high-resolution numerical simulations. A key finding is that the droplet size PDF from a single bubble follows a highly-skewed distribution – optimally modeled by a Generalized Inverse Gaussian distribution – revealing a prolific production of nanometric droplets previously unaccounted for by simpler models. When integrated, these components yield a final predictive model for the global SSA size distribution, with parameters derived directly from physical principles and simulations rather than empirical fitting. The model demonstrates strong predictive consistency, showing close qualitative agreement with a wide corpus of experimental data from both laboratory and oceanic measurements, particularly across the critical 25 nm to 2.5μm range. By clarifying that jetting is the dominant pathway and providing a robust, physically-grounded predictive tool, this research significantly enhances the fundamental understanding of marine aerosol generation and provides a more accurate foundation for climate and atmospheric chemistry models.
亚微米海洋喷雾气溶胶(SSA)的大小分布是气候模型的一个重要组成部分,然而控制其产生的主要物理机制-特别是气泡破裂时薄膜和喷射液滴之间的竞争-仍然是一个激烈争论的主题。这项工作提出了一个修订的第一性原理模型,以定量地解决这一争议,并证明喷射在产生微米和亚微米气溶胶方面的主导地位。我们的方法首先通过物理缩放和数值模拟证明,亚微米液滴的最终平均喷射体积明显小于喷射体积,从而排除了薄膜液滴机制作为该尺寸范围的主要贡献者。然后,我们通过对SSA的基本组成部分进行严格建模,依次构建了一个综合的全局概率分布函数(PDF):(i)用一个更简单、实验支持更好的指数律来精炼亚表面气泡尺寸分布,(ii)从大量高分辨率数值模拟中得出每次爆发事件中液滴数量和尺寸分布的新尺度规律。一个关键的发现是,单个气泡的液滴大小PDF遵循一个高度倾斜的分布——最优模型是广义逆高斯分布——揭示了以前用更简单的模型无法解释的纳米液滴的大量生产。当整合后,这些组成部分产生了全球SSA大小分布的最终预测模型,其参数直接来自物理原理和模拟,而不是经验拟合。该模型具有很强的预测一致性,与来自实验室和海洋测量的大量实验数据在定性上非常一致,特别是在关键的25 nm至2.5μm范围内。通过阐明喷射是主要途径,并提供一个可靠的、基于物理的预测工具,本研究显著增强了对海洋气溶胶产生的基本认识,并为气候和大气化学模型提供了更准确的基础。
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引用次数: 0
Mitigating roll response of high-speed catamarans by dual Demihull mounted T-Foils, Part 1: Design and validation in calm water open-loop tests 用双半船体安装t型翼减轻高速双体船的侧倾响应,第1部分:静水开环试验的设计和验证
IF 4.4 2区 工程技术 Q1 ENGINEERING, OCEAN Pub Date : 2026-01-01 Epub Date: 2026-01-14 DOI: 10.1016/j.apor.2026.104922
Ehsan Javanmard , Javad A. Mehr , Michael R. Davis , Damien S Holloway , Jason Ali-Lavroff
Efficient roll motion mitigation is essential for ensuring the structural integrity and passenger comfort of high-speed catamarans in oblique seas. Ride Control Systems (RCSs) used by Incat Tasmania wave-piercing catamarans (WPCs) typically consist of a single centrally mounted bow T-Foil and two stern-mounted trim tabs, and roll control relies solely on the independent action of the stern tabs, limiting their effectiveness for heave and pitch while not providing optimal ability to mitigate roll in beam and oblique seas. This study experimentally evaluates a new RCS that integrates dual demihull-mounted bow T-Foils with stern trim tabs. The system was implemented on a 2.5 m scale model of a 112 m Incat Tasmania WPC and tested in calm water at 2.89 m/s (equivalent to 37 knots full-scale) using open-loop step and frequency response experiments. Step response tests assessed heel responses under various demihull T-Foils and stern tab deflection patterns. The most effective heel excitation was achieved when the port and starboard demihull T-Foils and stern tab control surfaces operated in antiphase, increasing the heel range by about 43% compared to the centre bow mounted T-Foil RCS configuration. Frequency response tests demonstrated that the integration of dual T-Foils enhanced the RCS roll excitation capability by 45%. A lumped parameter approach was employed to derive and solve the roll dynamic equation of the model, which accurately predicted the heel responses observed in step response tests, with an average deviation of just 4.7%. It also predicted roll response and phase lag trends across a range of excitation frequencies, closely aligning with experimental trends. These findings highlight the significant improvement in the system’s roll control capability by incorporating demihull-mounted T-Foils into the RCS configuration, providing strong support for the new RCS design and laying the foundation for the development of a roll control algorithm for future closed-loop control experiments.
有效的横摇减缓是保证斜交海域高速双体船结构完整性和乘客舒适度的关键。Incat塔斯马尼亚穿波双体船(wpc)使用的平顺控制系统(rcs)通常由单个安装在船头中央的t型箔片和两个安装在船尾的装饰片组成,并且横摇控制完全依赖于船尾标签的独立作用,限制了它们对升沉和俯仰的有效性,同时也不能提供最佳的减轻横摇和斜海上横摇的能力。本研究通过实验评估了一种新的RCS,该RCS集成了双半船体安装的船首t型箔片和船尾装饰片。该系统在一艘112米Incat Tasmania WPC的2.5米比例模型上实施,并在平静水中进行了开环阶跃和频率响应实验,测试速度为2.89米/秒(相当于全尺寸37节)。台阶响应试验评估了在各种半船体t型翼和艉板偏转模式下的后跟响应。当左右半船身t型翼和船尾标签控制面以反相位操作时,实现了最有效的后跟激励,与安装在船头中心的t型翼RCS配置相比,脚跟范围增加了约43%。频率响应试验表明,双t型箔片的集成使RCS侧倾激励能力提高了45%。采用集总参数法推导并求解了模型的横摇动力学方程,该方程准确地预测了阶跃响应试验中观察到的跟侧响应,平均偏差仅为4.7%。它还预测了在激励频率范围内的滚动响应和相位滞后趋势,与实验趋势密切相关。这些研究结果表明,将半船体t型箔片纳入RCS配置后,系统的横摇控制能力得到了显著提高,为新的RCS设计提供了有力支持,并为未来闭环控制实验中横摇控制算法的开发奠定了基础。
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引用次数: 0
A Generative AI Model for irregular wave conditions that induce parametric roll 非规则波浪条件下诱发参数滚转的生成AI模型
IF 4.4 2区 工程技术 Q1 ENGINEERING, OCEAN Pub Date : 2026-01-01 Epub Date: 2026-01-14 DOI: 10.1016/j.apor.2026.104917
Kevin J. Maki , Hyo-Jin Park , Wenzhe Xu , Bo Woo Nam
Parametric roll is a nonlinear and intermittent dynamical phenomenon that causes damage to or loss of cargo, and poses significant risks for passenger safety and comfort. The current engineering practice to evaluate susceptibility or likelihood of parametric roll requires hours of nonlinear simulation or model tests in many wave conditions from the long-term operation wave scatter diagram. In this paper a novel generative AI method is proposed to learn the specific conditions that lead to parametric roll without the need to perform exhaustive and time consuming Monte Carlo simulations of all wave conditions. The method uses a low fidelity hydrodynamics model to generate the required large set of training data. A distillation process is employed that produces a series of models that can generate new wave conditions that lead to increasingly severe parametric roll behavior. Then the exceedance probabilities derived from the generated wave conditions are shown to closely match those from Monte Carlo simulations, while requiring significantly fewer computations. Finally, the generated wave conditions are verified by performing simulation with a weakly-nonlinear IRF method, confirming the ability of the method to find conditions that lead to pronounced parametric roll responses at a small fraction of the cost relative to the current practice of using Monte Carlo simulation.
参数滚转是一种非线性、间歇性的动力现象,会造成货物的损坏或灭失,给乘客的安全与舒适带来重大风险。目前的工程实践评估敏感性或可能性的参数滚动需要非线性模拟或模型试验在许多波浪条件下从长期运行波散点图。本文提出了一种新的生成式人工智能方法来学习导致参数滚动的特定条件,而无需对所有波浪条件进行详尽而耗时的蒙特卡罗模拟。该方法使用低保真流体力学模型来生成所需的大量训练数据。采用蒸馏过程产生一系列模型,这些模型可以产生新的波浪条件,从而导致越来越严重的参数横摇行为。然后,从产生的波浪条件中得出的超越概率与蒙特卡罗模拟的结果非常接近,而需要的计算量却大大减少。最后,通过使用弱非线性IRF方法进行模拟来验证生成的波浪条件,确认该方法能够以相对于使用蒙特卡罗模拟的当前实践的一小部分成本找到导致明显参数侧滚响应的条件。
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引用次数: 0
Experimental investigation of suction-assisted penetration of compartmented bucket foundations 分隔桶形基础吸力辅助侵彻试验研究
IF 4.4 2区 工程技术 Q1 ENGINEERING, OCEAN Pub Date : 2026-01-01 Epub Date: 2026-01-10 DOI: 10.1016/j.apor.2026.104923
Linlong Mu , Tao Zhou , Yimin Lu , Guangming Yu , Jianguo Sun
Compartmented bucket foundations (CBFs) represent a promising alternative to conventional offshore wind turbine foundations, offering enhanced structural stability and bearing capacity. However, the compartmented internal configuration of CBFs complicates the soil-water-structure interaction and poses unique challenges for suction-assisted installation, particularly in sandy soils where seepage effects are prominent. This study presents a series of model tests investigating the suction penetration behavior of both mono bucket foundations (MBFs) and CBFs in homogeneous sand. By varying bucket wall thickness, bulkhead thickness, and mid-chamber size, the influence of compartment geometry on penetration suction was evaluated. Results show that suction installation significantly reduces penetration resistance compared to jacking, which requires up to 8.7 times resistance for MBFs and 15.8 times for CBFs compared to suction-assisted penetration. Additionally, while increased wall and bulkhead thickness lead to higher suction demands, variations in mid-chamber size have minimal impact. Moreover, a theoretical model originally developed for MBFs was extended to incorporate additional bulkhead-induced resistance. The modified model provides accurate predictions for suction pressure, particularly during the stable penetration phase. This work advances the understanding of CBF installation mechanics and offers practical guidance for optimizing suction bucket designs in offshore wind applications.
隔舱桶型基础(cbf)是传统海上风力涡轮机基础的一种很有前途的替代方案,具有增强的结构稳定性和承载能力。然而,cbf的内部分隔结构使土壤-水-结构相互作用复杂化,并对吸力辅助装置提出了独特的挑战,特别是在渗流效应突出的沙质土壤中。本文通过一系列模型试验研究了单桶基础和单桶基础在均质砂土中的吸力侵彻特性。通过改变桶壁厚度、舱壁厚度和中腔尺寸,评估了隔室几何形状对穿透吸力的影响。结果表明,与吸力辅助侵彻相比,吸力装置显著降低了侵彻阻力,与吸力辅助侵彻相比,mbf和cbf的阻力分别为8.7倍和15.8倍。此外,虽然增加的壁厚和舱壁厚度会导致更高的吸力需求,但中腔尺寸的变化影响最小。此外,最初为MBFs开发的理论模型被扩展到包含额外的舱壁诱导阻力。修正后的模型提供了准确的吸气压力预测,特别是在稳定侵彻阶段。这项工作促进了对CBF安装机制的理解,并为海上风电应用中优化吸力桶设计提供了实用指导。
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引用次数: 0
Evaluation of the impact of soil–cement retrofitting on the failure behaviour of wharf piles in liquefiable soils 可液化土中水泥土加固对码头桩破坏行为影响的评价
IF 4.4 2区 工程技术 Q1 ENGINEERING, OCEAN Pub Date : 2026-01-01 Epub Date: 2025-12-06 DOI: 10.1016/j.apor.2025.104882
Zheng Zhang, Shengyi Cong, Liang Tang, Xianzhang Ling, Yun Shi
Liquefaction-induced lateral spreading significantly contributes to pile bending failure in pile-supported wharves. However, the combined effects of axial and lateral loads under such conditions have been insufficiently investigated, and the efficacy of existing reinforcement measures in mitigating such failures has been inadequately evaluated. In this work, the combined effects of lateral (inertial and kinematic) and axial loads on pile response and bending failure were investigated using centrifuge tests and numerical simulations. Various soil–cement retrofitting schemes were analysed to mitigate unfavourable wharf responses, and their contributions to bending failure were explored. A predictive method was developed to assess critical bending failure under retrofitted conditions. The findings indicate that the interaction between increased lateral and axial loads reduces the bending capacity of piles, heightening their vulnerability to bending failure. Notably, retrofitting the interpile soil effectively diminishes profile responses and enhances resistance to bending failure.
液化引起的横向扩展是桩基码头桩身弯曲破坏的重要原因。然而,在这种情况下,轴向和横向荷载的综合影响还没有得到充分的研究,现有的加固措施在减轻这种破坏方面的有效性也没有得到充分的评估。在这项工作中,横向(惯性和运动)和轴向荷载对桩的响应和弯曲破坏的综合影响进行了离心试验和数值模拟。分析了各种水泥土加固方案,以减轻不利的码头响应,并探讨了它们对弯曲破坏的贡献。开发了一种预测方法来评估改造条件下的临界弯曲破坏。结果表明:桩侧荷载和轴向荷载的相互作用降低了桩的抗弯能力,增加了桩的抗弯破坏脆弱性;值得注意的是,改造桩间土有效地减少了剖面响应,提高了抗弯曲破坏能力。
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