23 April 2026, Volume 5 Issue 2
    

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  • WANG Jingquan, LI Feng
    Journal of Army Engineering University of PLA. 2026, 5(2): 1-13. https://doi.org/10.12018/j .issn.2097-0730.20251117001
    Abstract ( ) Download PDF ( )   Knowledge map   Save
    Composite emergency bridges, as critical equipment for disaster rescue and wartime mobility, have achieved significant progress in recent years.Their lightweight, high-strength, and designable characteristics have broken through the performance bottlenecks of traditional materials. This paper comprehensively reviews the current research status and application progress of structural innovations in composite emergency bridges worldwide. Specifically, it systematically traces the technological evolution paths of the two mainstream structural systems: the slab-beam type and the truss type. Furthermore, the structural characteristics, mechanical properties, and respective advantages of integral-formed and pultruded profile slab-beam bridges, as well as composite planar truss and composite spatial truss bridges, are analyzed in detail. Addressing the core issue of stiffness control in the composite emergency bridge design, the root causes of the problem are analyzed, and strategies for enhancing the overall structural stiffness are summarized. Finally, the potential future research directions in structural innovation and design for composite emergency bridges are briefly discussed.
  • WANG Xin1, 2, XIE Jiazhan1, 2, ZHOU Jingyang1, 2, LIU Xia1, 2, WU Rundong1, 2, WU Zhishen1, 2
    Journal of Army Engineering University of PLA. 2026, 5(2): 14-22. https://doi.org/10.12018/j .issn.2097-0730.20260107001
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    To address the problems of heavy self-weight and corrosion susceptibility of steel cables in bridge engineering, as well as the insufficient bending performance of traditional parallel fiber-reinforced polymer (FRP) cables, a novel FRP flexible cable is proposed. The proposed cable features light weight, excellent corrosion resistance, and high flexibility. Based on a three-dimensional finite element model of the FRP flexible cable, the influences of the key structural parameters including arrangement pattern, lay length, lay direction, friction coefficient, and drum-to-diameter ratio on the maximum axial stress and contact stress are systematically investigated, and the corresponding recommendations for optimal design are proposed. The results indicate that the circular arrangement exhibits superior performance in reducing contact stress,while the hexagonal arrangement provides a more uniform axial stress distribution. Adopting opposite lay directions for the inner and outer strands reduces the maximum axial stress by 11.3%. When the lay length ranges from 12d to 20d,the maximum axial stress rises with increasing lay length, while the contact stress gradually decreases. Increasing the friction coefficient helps improve the uniformity of stress distribution among strands.As the drum-to-diameter ratio increases from 17 to 40, the maximum axial stress of circular and hexagonal cables decreases by 48.6% and 47.4%, respectively. When the drum-to-diameter ratio is greater than or equal to 30, the axial stress in the outer strands remains below 70% of the ultimate tensile strength. These findings can serve as a reference for the engineering application of FRP flexible cables in highly corrosive and highly flexible environments.
  • ZHU Ruijie,WANG Guangzheng,LIU Jianbang,LU Hui,CUI Shengchao,ZHAO Huishuang
    Journal of Army Engineering University of PLA. 2026, 5(2): 23-30. https://doi.org/10.12018/j .issn.2097-0730.20250210002
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    To address the challenge of emergency traffic support on soft ground foundations, a novel approach utilizing lightweight early-strength cement blankets for rapid reinforcement is proposed. Initially, the 2-hour compressive and flexural strengths of rapid-setting early-strength cement were tested, followed by flexural experiments on cement blankets after 2-hour curing to obtain their early-strength mechanical parameters. Subsequently, a soft soil foundation test site was prepared by mixing clay with water, and the bearing capacity parameters of the soft soil were acquired using a Proctor penetrometer. After laying and water-curing the cement blankets, the trafficability tests were performed for both light and heavy vehicles. Finally, the ABAQUS/Explicit dynamic calculation method was employed to simulate the wheel-load trafficability of the soft ground reinforced with cement blankets. This numerical method accurately simulates the dynamic response of the reinforced soft foundation under vehicle loads, showing good agreement with the experimental results. The experimental and numerical simulation results indicate that although single-layer cement blanket reinforcement can effectively ensure the passage of light vehicles over soft ground, heavy vehicles experience excessive sinkage and fail to pass. By laying double-layer cement blankets for further reinforcement, the maximum ground sinkage depth can be reduced by 44.8%. The proposed method can be applied to the structural analysis and design of soft foundations reinforced with cement blankets.
  • ZHANG Hengming, CHEN Lu
    Journal of Army Engineering University of PLA. 2026, 5(2): 31-41. https://doi.org/10.12018/j .issn.2097-0730.20250212001
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    To investigate the influence of member stiffness on the critical buckling load of pultruded fiber-reinforced polymer (PFRP) members, a member stiffness characterization system for PFRP was established through theoretical modeling to provide input features for machine learning models. An experimental database comprising 329 samples of PFRP members with various cross-sectional forms for flexural buckling was constructed. The five machine learning models—support vector regression (SVR), random forest regression (RFR), K-nearest neighbors (KNN), extreme gradient boosting (XGBoost), and artificial neural networks (ANN)—were utilized to predict the relationship between member stiffness and the critical buckling load. The results indicate that the KNN model exhibited the best predictive performance, achieving an R2 value of 0.967, which represents an improvement of 0.237 over traditional physical models. Furthermore, SHAP (SHapley Additive exPlanations) value analysis revealed that flexural stiffness is the dominant factor affecting the critical buckling load. This study innovatively constructs a member stiffness characterization system that significantly enhances prediction accuracy and robustness, providing a theoretical foundation for the design and optimization of PFRP members.
  • LIU Chenglin, ZHANG Qing, LI Feng
    Journal of Army Engineering University of PLA. 2026, 5(2): 42-50. https://doi.org/10.12018/j .issn.2097-0730.20250424001
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    To investigate the vibration characteristics of a mid-span strut-supported externally prestressed assembled GFRP (glass fiber reinforced polymer) emergency bridge, the dynamic tests were conducted. A refined finite element model and a vehicle-bridge coupling analysis model were established to systematically analyze the natural vibration characteristics of the bridge. Furthermore, the effects of bridge deck irregularity grade, prestress levels, and the arrangement of single-lug-and-yoke-plate joints on the dynamic responses and impact effects of the bridge were elucidated. The results indicate that the setting of the mid-span strut prestressing device significantly increases the first-order natural frequency of the bridge; extending the initial length of the strut effectively enhances this frequency; however, once the device is installed, increasing the magnitude of the prestress has no obvious effect on the first-order natural frequency; the bridge deck irregularity grade has a significant influence on the dynamic response of the bridge; the more uneven the bridge deck irregularity grade is, the greater the impact vibration effect between the vehicle and the bridge structure; the prestress level has little effect on the relative displacement of the bridge, but with the increase of the prestress level, the impact coefficient of the bridge decreases, and the vertical acceleration response at the mid-span and the vehicle's center of mass acceleration response increase; as the number of single-lug-and-yoke-plate joints in a single bridge segment increases, the structural stiffness of the bridge improves, leading to a continuous decrease in the mid-span vertical dynamic displacement and impact factor; meanwhile, the mid-span acceleration amplitude initially decreases and subsequently increases, whereas the vehicle body's centroid acceleration amplitude gradually decreases, resulting in a significant improvement in ride comfort.
  • XIONG Ziming1, CHEN Hao1, BIAN Leixiang2, ZHANG Zhongwei1, SUN Minqian1, DAI Xiaoqing1
    Journal of Army Engineering University of PLA. 2026, 5(2): 51-58. https://doi.org/10.12018/j .issn.2097-0730.20251120001
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    The timely perception and rapid assessment of the damage status of engineering targets with significant strategic value and irreplaceability have become crucial prerequisites for winning modern warfare. By integrating unmanned information technologies, this paper proposes a damage assessment method applicable to complex engineering environments, aiming to achieve the rapid assessment of global damage information for comprehensive engineering systems. Specifically, unmanned aerial vehicles equipped with close-range photography technology are employed as the external information acquisition means, while unmanned robots and dispersed sensors, combined with laser scanning and panoramic image acquisition, serve as the internal damage information collection tools, thereby establishing a platform for acquiring both internal and external damage information of the engineering system. Drawing on the structural properties of the engineering system, a "physics-function-system" damage assessment criterion is developed, which further facilitates the formulation of a damage assessment model integrating internal and external damage information. An assessment conducted on the damage status of a simulated engineering system verifies that the proposed assessment method exhibits favorable engineering applicability and is capable of addressing the demand for rapid assessment in complex scenarios.
  • WANG Zihao1, LU Hao1, XIE Lei1, HU Jie2, WANG Mingyang1
    Journal of Army Engineering University of PLA. 2026, 5(2): 59-67. https://doi.org/10.12018/j .issn.2097-0730.20251213001
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    To address the issues of structural damage and functional cascading failures in refineries caused by explosions under intentional attacks, this study establishes a resilience assessment framework considering the interaction of physical-functional coupled networks. The effectiveness of resilience-enhancement strategies is validated through simulation. Based on the graph theory, the refinery is abstracted as a directed weighted network. At the physical level, a Probit vulnerability model considering the domino effect is adopted, and the Monte Carlo method is employed to simulate structural damage to the system under blast loading. At the functional level, a cascading failure propagation model based on flow conservation is constructed to simulate functional paralysis caused by feedstock supply interruptions resulting from node failures. From the perspective of blast resilience, the system is assessed under various attack scenarios. The critical vulnerable nodes are identified and subjected to hardening measures, after which the system resilience index is recalculated. The results indicate that the cascading failure model based on flow conservation can accurately capture the nonlinear damage characteristics of process industries. The toughening strategies considering physical isolation and shortened repair time can effectively improve the resilience level of refineries. The proposed resilience assessment framework can provide theoretical support and reference schemes for decision-makers to effectively identify vulnerable facilities in the system and formulate effective protection measures.
  • SHEN Qingfeng, GUAN Xiaojun, GAO Bingqiang, WEN Xiaodong
    Journal of Army Engineering University of PLA. 2026, 5(2): 68-77. https://doi.org/10.12018/j .issn.2097-0730.20250626001
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    This study systematically investigates the influence mechanism of shrinkage-reducing admixture (SRA) on the properties of fly ash-slag powder-cement (SFK) ternary composite binder system through multiple testing methods. Using paste and mortar specimens with a water-to-binder ratio of 0.39, the regulatory effects of the SRA dosage (0.0%-4.5%) on hydration process, mechanical properties, and drying shrinkage were examined. The analysis of hydration heat indicates that the SRA significantly retards the hydration reaction: a 4.5% dosage reduces the exothermic peak by 29.7% and delays it by 51.97%, while decreasing the cumulative heat release at 3 days by 16.09%. The XRD and TG-DSC analyses confirm that the SRA inhibits the formation of Ca(OH)2 crystals and reduces the generation of C-S-H gel. The mechanical performance tests show that the flexural strength of the hardened paste declines significantly when the SRA dosage exceeds 1.5%, while the compressive strength drops sharply by 19.3% after the dosage exceeds 3.5%. The low-field nuclear magnetic resonance and pore structure analysis reveal the underlying mechanism: although the SRA increases the adsorbed water content by 36.69% (at 4.5% dosage and 28 days of curing) and effectively inhibits drying shrinkage (reducing the 74-day drying shrinkage rate by 31.82%), it significantly deteriorates the pore structure—increasing the porosity by 50.48% (28 days) and expanding the most probable pore size by 120.52% (3 days), with a notable increase in the proportion of capillary pores and gel pores. The study elucidates that the SRA, through adsorption, hinders mineral dissolution and delays secondary hydration, achieving shrinkage reduction at the expense of strength loss due to pore structure deterioration. This provides a theoretical basis for the optimized application of shrinkage-reducing admixtures in mineral admixture-based systems.
  • LIU Zheng, GENG Yichao, HAN Xu, WANG Ruihai, SHI Luyang
    Journal of Army Engineering University of PLA. 2026, 5(2): 78-87. https://doi.org/10.12018/j .issn.2097-0730.20250130001
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    The soil heat storage sunspace represents an efficient method for solar energy utilization and exhibits complex internal physical phenomena. However, existing models do not accurately capture its long-term thermal behavior. This study addresses that gap by developing a numerical model based on computational fluid dynamics (CFD) method to characterize the sunspace's thermal performance. The user-defined functions (UDFs) were employed to convert meteorological parameters into equivalent boundary conditions and input parameters. Key variables such as the boundary heat flux were monitored to assess the heat collection and storage performance of the soil layer, as well as the overall thermal characteristics of the sunspace. The model's accuracy was validated through the experiments conducted on a proportionally scaled model. The results indicate that variations in solar orientation significantly affect the distribution and duration of radiation within the sunspace, with shallow soil (up to 2 meters deep) serving as the primary medium for heat storage and release. The annual average heat release-to-storage ratio is 0.901, and the solar energy utilization rate is 0.132. Moreover, the soil heat storage approach effectively reduces the frequency of extreme temperature occurrences inside the sunspace while maintaining a substantial temperature difference between the interior and the exterior. The proposed model can comprehensively analyze the performance of soil heat storage sunspaces, thereby providing a robust theoretical basis for promoting and applying such buildings in the severe cold regions of high plateaus.
  • ZHANG Junnan, GENG Hansheng, YU Jin, ZHANG Zhixiang, LI Zhizhong, LIU Qiang
    Journal of Army Engineering University of PLA. 2026, 5(2): 88-93. https://doi.org/10.12018/j .issn.2097-0730.20250910003
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    The loose structure, high compressibility, and low bearing capacity of coastal beach sand severely restrict vehicle mobility. To rapidly evaluate the bearing capacity of coastal beach foundations, the light dynamic penetration tests (LDPT) and cone penetration tests were conducted on fine, medium, and coarse sands. The results indicate that the bearing capacities of the unimproved fine, medium, and coarse sand foundations are 70, 90, and 100 kPa, respectively, all failing to meet the requirements for vehicle passage. Based on the experimental results, an empirical formula correlating the LDPT blow count with the ultimate bearing capacity required for vehicle traffic was established. The findings reveal that the bearing capacity satisfying the vehicle traffic requirement is 127.13 kPa, which corresponds to an LDPT blow count of 36 blows. These results can provide data references for the rapid assessment and improvement of beach foundation bearing capacity.
  • WANG Qiwei,LIU Shuming,ZHOU Kun,XIE Zongqiao,WEI Weizhi,LI Yong
    Journal of Army Engineering University of PLA. 2026, 5(2): 94-100. https://doi.org/10.12018/j .issn.2097-0730.20250414001
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    To address the lack of quantitative evidence for evaluating human perception and behavior in underground enclosed light environments, a 3×3×3 full-factorial experiment (illuminance ranging from 100 to 1 000 lx) was conducted based on a real civil defense basement environment. By integrating questionnaires, mood scales, and cognitive tasks, a quantitative model was established via Boltzmann distribution fitting, quadratic regression, and the entropy weight method. The results indicate that the lighting satisfaction follows a Boltzmann distribution with illuminance, showing a critical threshold of 550 lx, below which satisfaction increases significantly; the emotional evaluation is quadratically regulated by color temperature, with a turning point at 4 100 K; lower values (<4 100 K) suppress positive emotions, while higher values (>4 100 K) alleviate psychological stress;the cognitive performance improves with illuminance up to 600 lx, beyond which effects plateau. The design thresholds are proposed (illuminance: 550-600 lx; color temperature: 4 100 K), and the practical guidelines suggest high illuminance (≥600 lx) with medium-high color temperature (4 400-5 700 K) for core workspaces and dynamically graded lighting for rest areas. These findings can provide data support for the refined design and health efficiency evaluation of light environments in underground enclosed spaces.
  • HAO Bentian,JIA Qi,YANG Xin,YAN Su
    Journal of Army Engineering University of PLA. 2026, 5(2): 101-108. https://doi.org/10.12018/j .issn.2097-0730.20250224002
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    The infrared radiation characteristics of the battlefield background are influenced by the coupling of multiple meteorological factors, and the highly nonlinear dynamic variations pose greater challenges to the accurate prediction of adaptive thermal infrared camouflage. In response to the problems of large modeling parameters and poor prediction timeliness in the traditional multidimensional transient heat conduction models, this paper takes the typical battlefield backgrounds as the object and constructs a multi-type background radiation characteristic dataset by optimizing meteorological parameters. A CLMHA (CNN-LSTM with multi-head attention) model based on the CNN-LSTM (convolutional neural network-long short-term memory) architecture and the multi-head attention mechanism is proposed to achieve efficient prediction of background infrared radiation characteristics. The experimental results show that the CLMHA model exhibits superior predictive performance in various background environments, with a parameter reduction of 80% compared with traditional LSTM models. The highest MAE and RMSE reductions are 53.6% and 57.5%, respectively, with an average reduction of 33.0% and 30.3%. The results verify that the proposed model has higher accuracy and stability in infrared radiation prediction tasks.
  • PAN Chang, LI Yang, ZHANG Xubo, MIAO Zhuang
    Journal of Army Engineering University of PLA. 2026, 5(2): 109-118. https://doi.org/10.12018/j .issn.2097-0730.20250724001
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    To address the issues of the insufficient long-range dependency in existing spatial attention mechanisms and the high cost of dimensionality reduction in channel attention mechanisms for high-resolution remote sensing image change detection, a multi-scale cross-dimensional interactive attention-guided method is proposed. This method aims to effectively tackle the challenge of suboptimal multi-scale feature extraction in complex urban scenes. The proposed network consists of dual branches: the left branch learns inter-channel correlations to enhance feature representation capabilities, thereby helping the network capture contextual information more efficiently; the right branch effectively captures long-range spatial dependencies among features, eliminates the negative impacts of channel dimensionality reduction on the attention network, and improves the recognition accuracy of regions of interest or key object locations in deep convolutional neural networks. A fusion strategy is employed to perform element-wise addition on the outputs of both branches,achieving cross-dimensional interactive fusion and promoting the complementary integration of channel and spatial information. The experimental results on public datasets DSIFN-CD and LEVIR-CD demonstrate that: on the DSIFN-CD dataset, compared with the FINO (the latest among the 14 mainstream methods), the proposed method achieves significant improvements of 2.04%, 3.08%, and 5.18% in Precision, F1, and IoU metrics, respectively; on the LEVIR-CD dataset, its Precision, Recall, F1, and IoU metrics are on par with those of the 14 mainstream methods.