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Table of Content

    28 September 2026, Volume 60 Issue 9 Previous Issue    Next Issue
    Naval Architecture, Ocean and Civil Engineering
    Numerical Study on Mechanism of Load Formation on a Submerible Induced by Internal Solitary Waves in a Two-Layer Fluid
    WANG Runze, ZHI Changhong, YOU Yunxiang
    2026, 60 (9):  1393-1403.  doi: 10.16183/j.cnki.jsjtu.2024.314
    Abstract ( 323 )   HTML ( 5 )   PDF (7571KB) ( 479 )   Save

    Large-amplitude internal solitary waves (ISWs) widely exist in stratified oceans, often accompanied by strong shear flows during their propagation. Such waves impose transient hydrodynamic loads on submerged bodies, potentially triggering instability and inducing the risk of “falling deep”. To investigate the load characteristics of fixed submerged bodies under ISWs action, computational fluid dynamics (CFD) simulations were employed. A numerical wave generation method based on the strongly nonlinear adjusted high-order undirectional (aHOU) model was developed specifically for large-amplitude ISWs, which realizes wave generation within the computational domain using a velocity inlet approach. Then, a numerical model was established for the interaction between large-amplitude ISWs and fixed submerged bodies, whose accuracy and reliability were validated against experimental data. Additionally, control variable and regression analysis were utilized to quantify the effects of wave amplitude and submergence depth on the load characteristics of the submerged body under ISWs. The load properties of the submerged body were explored in three scenarios, i.e., above the ISW surface, traversing the wave surface, and below the wave surface. The results indicate a quantifiable linear correlation between the positive amplitude of the horizontal load and wave amplitude, while the duration of the vertical force exerted by ISWs is related to submergence depth. When the submerged body traverses the wave surface, the primary component of the vertical force is identified as the pressure differential force. This paper provides a theoretical basis for analyzing the plunge issue of underwater bodies induced by internal waves.

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    Aerodynamic Characteristics of Parallel Dual-Wing Sails for Unmanned Sailboats
    YAN Jinghao, LIU Peng, XIN Longqing, FENG Guodong, BAI Chuanzhen, CHEN Changlong
    2026, 60 (9):  1404-1417.  doi: 10.16183/j.cnki.jsjtu.2024.393
    Abstract ( 442 )   HTML ( 2 )   PDF (16220KB) ( 487 )   Save

    Hybrid aquatic-aerial vehicles (HAAVs) are a kind of marine transportation equipment capable of operating in both aquatic and aerial environments, showing a promising prospect for marine exploration applications. This paper proposes a novel trans-medium unmanned sailboat scheme. The sailboat is driven by deformable wing sails using clean ocean energy, which can autonomously switch between surface, underwater, and aerial modes to enable multi-environment ocean exploration. Surface navigation driven by the wing sails is the main operating mode of the unmanned sailboat. Based on computational fluid dynamics (CFD), this paper focuses on analyzing the aerodynamic characteristics and propulsion performance of the parallel dual-wing sails in this mode, including structural parameters, such as aspect ratio, taper ratio, and spacing between two wing sails, control parameters, such as attack angle and sail angle, as well as the impact of flow field on the sail performance. The results indicate that when aspect ratio is between 2 and 3, taper ratio is no less than 0.6, and the spacing between two wing sails is at least 1.5 times the chord length of wing sail, the parallel dual-wing sails achieve relatively optimal aerodynamic performance. When the wind angle is less than 90°, the wing sails should be adjusted to optimal attack angle to utilize lift for propulsion. When the wind angle exceeds 90°, the upstream area of wing sails should be increased to use drag for propulsion, thereby improving propulsion efficiency. The flow field interference between two wing sails mainly manifests as blocking effects and tip vortex merging, resulting in severe imbalance in aerodynamic performance. The results provide theoretical support for profile design and surface navigation performance prediction of hybrid aquatic-aerial vehicles.

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    Hydrodynamic Performance of Ships in Step Bank and Shallow Water
    WANG Shuqi, HONG Yong, HU Junming, XIAO Jinji, TANG Ji
    2026, 60 (9):  1418-1426.  doi: 10.16183/j.cnki.jsjtu.2024.389
    Abstract ( 383 )   HTML ( 3 )   PDF (16325KB) ( 769 )   Save

    Ships navigating in shallow water areas with uneven seabed often suffer from shallow-water effects due to channel constraints. Meanwhile, the uneven seabed leads to more significant variations in hydrodynamic performance, which will have a negative impact on the safety and maneuverability of the ship. To address this issue, the influence of step bank and shallow-water depth on the hydrodynamics and flow field of ships is numerically investigated using STAR-CCM+. The results indicate that the hull undergoes pronounced heave and longitudinal tilting motions after encountering step banks, and the stern roll of the hull occurs as the vessel navigates over step banks, which gradually transitions to bow tilt. The hull resistance reaches its maximum when the stern reaches the step bank, in which the variation in total resistance is mainly attributed to the residual drag. Furthermore, in shallow water, the bow wave gradually decreases, while the transverse wave and scattered wave in the stern wave area show a tendency to merge.

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    Hybrid Model Algorithm for Motion Prediction of Dynamically Positioned Ships
    JIA Cunchao, WEI Handi, XIAO Longfei, LI Yan, ZHOU Changgen, GUO Hua
    2026, 60 (9):  1427-1437.  doi: 10.16183/j.cnki.jsjtu.2024.360
    Abstract ( 533 )   HTML ( 2 )   PDF (3695KB) ( 503 )   Save

    In marine dynamic positioning scenarios, accurate ship motion prediction is crucial for providing early warning and enabling motion compensation. To address the challenges posed by rapid and highly nonlinear ship motion changes in such scenarios, a hybrid model algorithm for ship motion prediction is proposed that combines physical and data-driven approaches. The proposed model employs a physical module to generate initial motion predictions, with errors subsequently corrected by a correction module. Furthermore, a control force prediction module is introduced to update the parameters of the physical module, thereby enhancing prediction accuracy. The hybrid model is trained and tested using data from dynamic positioning model tests, and its performance is evaluated in depth with respect to prediction horizon and the number of training samples. The results show that for surge, sway, and yaw motions, the hybrid model improves 15-second prediction accuracy by 15%—57% compared to long short-term memory (LSTM) network, with the most significant improvements observed at motion crests and troughs. Additionally, the hybrid model exhibits stronger prediction stability when dealing with unevenly distributed datasets. In summary, the hybrid model offers higher accuracy and stability, holding promise for providing more reliable warning information and motion compensation support for dynamic positioning operations in marine environments.

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    Multimodal Feature Fusion for Ship CAD Model Retrieval Technology
    LIU Ziang, LÜ Chaofan, ZHANG Dan, BAO Jinsong
    2026, 60 (9):  1438-1447.  doi: 10.16183/j.cnki.jsjtu.2025.146
    Abstract ( 238 )   HTML ( 2 )   PDF (4183KB) ( 436 )   Save

    A multimodal feature fusion method for ship computer-aided design (CAD) model retrieval is proposed to address the limited representation of single-modality methods in traditional ship CAD model retrieval where 3D geometric features struggle to capture semantic information, text descriptions cannot precisely express the precise geometric structures, and image features are highly sensitive to variations in view point and illumination. First, the method maps reference images to pseudo-word tokens by referring to the Context-I2W network, and fuses information of bill of materials with mesh geometric features of CAD models. Then, a multimodal feature fusion framework is designed based on the weighted residual matrix to align image, text and 3D geometric features in the semantic space. Finally, a combinatorial query mechanism is constructed for matching retrieval by calculating the similarity between combined embeddings and candidate model features. The experiments constructed on a dataset containing 204 ship multimodal samples show that the proposed method achieves a mean average precision of 83.5% in the retrieval tasks for three types of typical components, namely, hull structure, outfitting parts, and piping arrangement, representing a 16.7% enhancement over existing zero-sample methods. Additionally, the area under the receiver operating characteristic curve reaches 0.818, demonstrating excellent retrieval performance without labeling data.

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    Efficient Online Calculation and Reduction Measures for Carbon Emissions from Metro Foundation Pit Engineering
    LAI Weizong, QIN Jianjun, PAN Yue, CHEN Jinjian
    2026, 60 (9):  1448-1455.  doi: 10.16183/j.cnki.jsjtu.2024.298
    Abstract ( 352 )   HTML ( 3 )   PDF (1813KB) ( 487 )   Save

    With the continuous development of urban underground transportation systems, metro station infrastructure construction projects have increased significantly, along with their environmental costs. This paper addresses carbon emission issues in metro station foundation pit engineering in China by proposing an efficient online carbon emission quantification approach based on the element method. This method efficiently assesses environmental impacts and develops effective carbon reduction strategies by leveraging sub-project characteristics. Additionally, it introduces a tool for metro foundation pits, the Metro Foundation Pit Carbon Emission Calculation System (pit-MCCS), which enhances the efficiency and visualization of carbon emission estimation, supporting dynamic updates and multi-party collaboration. The pit-MCCS was successfully applied to a metro foundation pit engineering in Shanghai, accurately calculating total carbon emissions of 102 218.08 t. Analysis reveals that the main sources of emissions are concrete pouring of diaphragm walls, particularly the use of steel and concrete, with significant contributions from transportation and construction phases. To address high emissions, the paper develops feasible mitigation tactics covering material optimization, equipment renewal, and construction plan adjustment.

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    Tracer-Assisted Leakage Detection Method for Diaphragm Walls Considering Interference from Conductive Objects
    FU Miao, KUDERETI Xiaokelaiti, FENG Shaokong, YE Guanlin
    2026, 60 (9):  1456-1466.  doi: 10.16183/j.cnki.jsjtu.2026.053
    Abstract ( 170 )   HTML ( 3 )   PDF (16454KB) ( 217 )   Save

    To address the issue of misjudgment in leakage detection of diaphragm walls caused by conductive bodies such as H-beam joints, a tracer-assisted leakage detection method is proposed. The applicability of the proposed method under the interference of conductive bodies is systematically investigated through a combination of physical model tests and numerical simulations. The results indicate that when leakage and conductive bodies coexist, the potential response exhibits a superposition effect, with conductive bodies dominating local potential distribution anomalies. Consequently, the potential anomalies caused by leakage are weakened or masked in a single steady-state potential distribution, and are therefore difficult to distinguish. By introducing a tracer and conducting time-lapse potential observations, the temporal dimension differences provide reliable criteria for effectively distinguishing between the two types of anomalies. The proposed tracer-assisted dynamic potential detection method enables accurate identification of leakage locations, achieving reliable leakage detection under the interference of conductive bodies.

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    Undrained Solutions of the Cylindrical Cavity Contraction Problem in Unsaturated Soils
    SUN Shanshan, CHENG Yang, ZHANG Changguang, FAN Jiashen
    2026, 60 (9):  1467-1475.  doi: 10.16183/j.cnki.jsjtu.2025.044
    Abstract ( 118 )   HTML ( 2 )   PDF (1590KB) ( 525 )   Save

    To effectively address the undrained contraction problem of a cylindrical cavity in unsaturated soils, an auxiliary variable approach without simplifying the deviatoric stress and axial stress in the plastic zone is proposed based on the modified Cam Clay model considering suction hardening and a liquid phase equation. Incremental governing equations for stress components, matric suction, and void ratio within the cylindrical cavity plastic zone are derived based on the associated flow rule, the logarithmic large deformation geometric equations, and equilibrium equations. Then, the undrained solution for cylindrical cavity contraction in unsaturated soils is iteratively solved using initial value boundary condition at elastic-plastic interface. Finally, parametric analyses and reliablity validations of the derived solution are conducted. The results indicate that the proposed approach possesses important theoretical significance and promising application prospect, which captures comprehensive influences of cavity radius ratio, suction hardening, and soil compactness. Moreover, it applies to both hydrostatic and longitudinal uneven in-situ stress fields with parameters carrying clear physical meanings. In addition, the degradation, extension capacity, and engineering applicability of the proposed solution are verified through multi-aspect comparisons with analytical outcomes from existing methods. The tangential effective stress first rises radially and then decreases, peaking at the elastic-plastic interface, whereas the matric suction and void ratio drop sharply in the near-cavity region and vary mildly as the radial distance increases. The plastic zone radius shrinks with the intensification of suction hardening.

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    Full-Scale Testing and Numerical Simulation on Waterproof Performance of T-Joints in Shield Tunnels
    BIAN Rong, GAO Bin, SUN Yongjun, ZHU Wenxuan, ZHANG Qi, YE Guanlin
    2026, 60 (9):  1476-1489.  doi: 10.16183/j.cnki.jsjtu.2024.306
    Abstract ( 275 )   HTML ( 2 )   PDF (47557KB) ( 465 )   Save

    T-joints are weak points in the waterproofing system of shield tunnels. This paper pressents a full-scale experimental and numerical study on the waterproof performance of T-joints in a 6.6 m diameter shield tunnel. First, a full-scale test platform was independently built, and waterproof performance tests of T-joints were conducted to obtain the failure pressures under different dislocations and openings of circumferential and longitudinal joints. Then, based on the tests, a three-dimensional finite element model of the elastic gasket at the T-joint was established to investigate waterproof performance, with mutual verification between experimental and numerical results. Finally, based on the experimental results, a predictive formula for gasket contact stress was established, considering the dislocation amount and opening width of circumferential and longitudinal joints. The results show that the contact stress is the highest at the intersection of the T-joint and decreases sharply within 20 mm from the intersection, gradually stabilizing beyond this region. The dislocation amount and opening width of the circumferential and longitudinal joints have a significant impact on the waterproof performance of the T-joint gasket, with the contact stress decreasing as the dislocation amount and opening width increase. The predictive formula proposed in this paper can estimate gasket waterproof performance based on the dislocation amount and opening width of the segments.

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    Synergistic Improvement of Rheological, Setting and Mechanical Evolution of Alkali-Activated Construction Solid Waste by Slag-Fly Ash
    HUANG Guodong, XU Jiahao, NIE Zhibo, ZHANG Feng’an, CHEN Shaoqi, QI Jun
    2026, 60 (9):  1490-1501.  doi: 10.16183/j.cnki.jsjtu.2025.184
    Abstract ( 419 )   HTML ( 3 )   PDF (17186KB) ( 660 )   Save

    This paper overcomes key technical barriers in the active regulation of cementitious materials derived from construction solid waste and develops a ternary synergistic activation system combining slag, fly ash, and construction waste powder. Multi-scale coupling analysis reveals the synergistic activation mechanism among these multiple solid waste components. The results show that at an optimal mass ratio of construction waste powder, slag, and fly ash, which is 5∶3∶2, the material exhibits significant enhanced performance with a compressive strength of 74.6 MPa at 28 d, an initial setting time of 60 min, and an increased binder sand flowability of 159 mm. This effectively addresses the technical challenge of simultaneously improving workability and strength. Microscopic characterization demonstrates that the continuous release of active Ca2+ from slag, coupled with the highly reactive silica-aluminum phases provided by fly ash, promotes the depolymerization and recombination of inert silicate networks in construction waste powder, forming calcium silicate and calcium aluminosilicate crystals. Consequently, this significantly reduces microcrack density and improves material integrity, uniformity, and compactness. This paper provides a full-chain solution covering mix design, interface regulation, and structural optimization for high-performance solid-waste-based cementitious materials, promoting the resource utilization of construction solid waste toward high value-added applications.

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    Underwater Acoustic Positioning Strategy and Simulation for Detection Modules in Deep-Sea Neutrino Telescope
    LIU Junhong, WEI Handi, TIAN Xinliang, HUANG Jingtao, XU Donglian, XIANG Xin
    2026, 60 (9):  1502-1508.  doi: 10.16183/j.cnki.jsjtu.2024.403
    Abstract ( 222 )   HTML ( 3 )   PDF (4148KB) ( 466 )   Save

    To meet the underwater positioning requirements of detection modules in deep-sea neutrino telescope, a multi-target underwater positioning strategy is proposed, which involves grouping the positioning modules of the neutrino telescope string array and implementing a cross-positioning system between two cable sets based on the five-station positioning system. In addition, based on the experimental data, an underwater acoustic positioning simulation method for the neutrino telescope detection module is established, and the accuracy of the proposed underwater positioning strategy is analyzed. The simulation results show that the space coordinate error of the neutrino telescope detection module increases with the increasing positioning distance. Compared with the three-station positioning strategy, the five-station positioning system reduces the average positioning error by 80.15%, demonstrating its effectiveness in enhancing the positioning accuracy. The research results can provide theoretical support and new solutions for the underwater positioning system of the deep-sea neutrino telescope.

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    Hydrodynamic Simulations for Underwater Deployment Process of Heavy-Duty Deep-Sea Operational Equipment and Damping Methods
    XU Yingxiang, WEI Handi, XIAO Longfei, YANG Jianmin, LIU Mingyue
    2026, 60 (9):  1509-1520.  doi: 10.16183/j.cnki.jsjtu.2024.335
    Abstract ( 369 )   HTML ( 3 )   PDF (4239KB) ( 481 )   Save

    For the underwater deployment process of heavy-duty deep-sea operational equipment (mining vehicle) from a high freeboard deep-sea mining mother ship, this paper establishes a hydrodynamic simulation method and a numerical model integrating the mother ship, mining vehicle, and deployment cable. The numerical model is validated using tank test data to identify potential risks and provide solutions. Based on the numerical model, the effects of mining vehicle mass, cable length, and environmental directions on the overall system response during the deployment are investigated. The analysis reveals a potential collision risk between the cable and the moonpool boundary during the deployment of equipment from a high-freeboard ship. To address this issue, different types of damping devices are designed to suppress the dynamic response of the cable. Finally, the damping performance of these devices is analyzed, providing recommendations for safe deployment operations and guidance for selecting appropriate damping devices.

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    Two-Layer Model Prediction Control Method for Coordinated Frequency Regulation of Ship Diesel-Storage Hybrid Supply System
    HU Hanwen, WANG Jie, TAI Nengling, HUANG Wentao, DING Cheng
    2026, 60 (9):  1521-1531.  doi: 10.16183/j.cnki.jsjtu.2024.390
    Abstract ( 429 )   HTML ( 2 )   PDF (2536KB) ( 455 )   Save

    During the frequency regulation of a ship diesel-storage hybrid power station, the energy storage system with a faster ramp rate undergoes frequent charging and discharging to rapidly respond to load fluctuations. Although this strategy optimizes the dynamic frequency performance, it drastically shortens the lifespan of energy storage devices. Balancing the differentiated ramp characteristics of diesel generators and energy storage systems as well as the life-cycle economy of batteries to realize the optimal power allocation for coordinated frequency regulation remains a core challenge in hybrid ship power management. To address this issue, this paper proposes a two-layer model predictive control (MPC) method for coordinated diesel-storage frequency regulation considering battery lifespan. Based on active prediction technology, the proposed method tracks the optimal output of hybrid power sources with various ramp rates, overcoming the limitation of passive regulation approaches such as automatic generation control (AGC), which fail to simultaneously balance frequency regulation quality and economic performance. First, a state-space equation consisting of system frequency-diesel-storage is established, and an upper-layer power allocation strategy for coordinated frequency regulation predictive control is proposed, which allocates regulation power rationally based on the response characteristics and operational constraints of diesel and storage units. Then, a lifespan economic model for energy storage batteries is developed, incorporating state of charge, cycle count, and investment cost. A lower-layer power allocation strategy for economic optimization of energy storage lifespan control is proposed, which optimizes the frequency regulation power of each battery pack based on lifespan economic indicators. Finally, a simulation model of the ship power system is built in MATLAB/Simulink for verification. The results demonstrate that compared with passive regulation methods such as AGC, the proposed method simultaneously improves both the lifespan economy of energy storage equipment and the frequency stability in dynamic frequency regulation process.

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    Transportation Engineering
    Performance of a New Joint in Precast Pavements Considering Void Beneath Slabs
    WANG Xuhao, LIU Qianqian, TIAN Yuan, LONG Yuan, GAO Xinmin, LING Lipeng
    2026, 60 (9):  1532-1543.  doi: 10.16183/j.cnki.jsjtu.2024.446
    Abstract ( 200 )   HTML ( 2 )   PDF (6986KB) ( 450 )   Save

    To mitigate the detrimental effects of sub-slab voids and the degradation of joint load transfer efficiency in precast pavement structures, two novel joint configurations, post-tensioned prestressed strand joints (PJ) and composite joints (ZJ), are proposed. A full-scale numerical model is developed using Abaqus and calibrated through a laboratory-scale specimen fabricated via 3D printing and similarity theory. Utilizing this validated model, the optimal local dimensions for the PJ configuration are determined. Subsequently, the mechanical responses and susceptibility to void-induced damage of PJ, ZJ, and the parameter sensitivity of sub-slab voids on the two proposed joints is quantified. The results indicate that when six 15.2-mm-diameter prestressing tendons are arranged in ZJ, its load transfer efficiency reaches 84% and the flexural tensile stress reduces by 50%. Compared to conventional joints, the flexural tensile stress in ZJ-connected slabs is minimally affected by sub-slab voids; even as the void size increases from 0 to 0.2 m, the load transfer efficiency of ZJ declines by merely 1%. The proposed joints not only fulfill structural requirements for effective load transfer and stress reduction but also significantly suppress the adverse impacts of sub-slab voids on slab integrity and joint performance.

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    Multi-Strategy Pelican Optimization Algorithm Optimized MPC Controller for Vehicle Trajectory Tracking
    LI Xiaolong, HUANG He, YANG Lan, WANG Huifeng, GAO Tao
    2026, 60 (9):  1544-1555.  doi: 10.16183/j.cnki.jsjtu.2024.316
    Abstract ( 377 )   HTML ( 3 )   PDF (3767KB) ( 446 )   Save

    To address the difficulty of selecting the weight matrices Q and R in the model predictive control (MPC) algorithm for lateral vehicle control, which often results in unsatisfactory vehicle trajectory tracking performance, a vehicle trajectory tracking control method based on the multi-strategy pelican optimization algorithm (POA) for optimizing the MPC weight matrices Q and R is proposed. First, a simplified vehicle dynamics model is established, and a lateral MPC controller is designed. Then, considering the limitations of the conventional POA, an improved pelican optimization algorithm (IPOA) with multiple strategies is proposed. A sociological learning strategy and a forgetting mechanism are introduced to establish interactive channels among pelican individuals, thereby accelerating the convergence speed of the algorithm. Furthermore, to address the issues of insufficient population diversity and the susceptibility to local optima, a dynamic adaptive t-distribution mutation operator with a feedback mechanism is designed to expand the search space and enhance the local optimization capability in later stages. Finally, the IPOA is used to optimize the MPC weight matrices, and joint simulation is conducted on the Simulink and Carsim platforms. The results show that the proposed IPOA-MPC controller effectively improves the accuracy and stability of vehicle tracking along reference trajectories, reducing the maximum lateral error by 61.48% and demonstrating strong generalization capabilities of the optimized controller.

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    Trajectory Optimization Method of Freight Suspended Monorail Train in Complex Environment
    LÜ Weixi, MIN Yongzhi, WANG Guo, XIA Kaizhe, SHI Kai
    2026, 60 (9):  1556-1564.  doi: 10.16183/j.cnki.jsjtu.2024.412
    Abstract ( 256 )   HTML ( 2 )   PDF (2890KB) ( 539 )   Save

    In western China, there are numerous high-altitude-drop and strong sandstorm areas spanning several dozen kilometers between mining sites and main transportation lines. In order to improve the adaptability and intelligence of the freight suspended monorail trains in such complex environments, a suitable trajectory optimization method for operation was studied. The dynamic operation process of freight rail was analyzed. Considering the characteristics of significant line altitude drops, complex and variable line geometries, as well as the tendency of trains to deviate from planned schedules due to environmental disturbances, an improved method for generating train operation curves on complex lines was proposed, with the goal of achieving comprehensive optimization of time and energy consumption. An improved multi-objective differential evolution algorithm was applied to solve the control model. Based on the obtained Pareto optimal solution set, a comprehensive adjustment model under disturbance scenarios was established to promptly avoid or mitigate the worsening and propagation of delays. Finally, simulation verification was conducted using data from a test line. The results show that, compared with the standard control method, the lower limit of net energy consumption under the improved control method is optimized. In a virtual interval, the improved control method reduced traction energy consumption by 84.13% while lowering the recovered braking energy by 43.15%, leading to a net energy consumption saving of 5.20 kW·h. In the multi-interval disturbance scenario of the test line, the total net energy saved reaches 41.82 kW·h. The proposed method can solve the trajectory optimization problem of freight suspended monorail trains in complex environments, effectively ensuring the fulfillment rate of transportation plans and reducing operating costs.

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