Journal of Vibroengineering

Journal of Vibroengineering, (in Press).Renhongyi Zhou, Aiqiang Zhang, Pan Shen, Yichen LiuAs a crucial component in aircraft power transmission, gear transmission systems are subjected to time-varying additional inertial loads in a non-inertial environment during aircraft maneuvers. Current dynamic analyses of these systems mostly depend on the inertial coordinate system, which assumes the gearbox is fixed to the ground and ignores the extra effects of base motion. Notably, existing models often use a rigid-flexible coupling approach – treating only key components like shafts as flexible while assuming others such as casings and gear teeth as rigid – which may deviate from the actual dynamic behavior of gear transmissions under maneuvering conditions. To address this limitation, this study establishes a full-flexible coupled multibody dynamics model for gear transmissions under overload level-flight maneuvers. By varying maneuvering acceleration magnitudes, the mechanisms by which maneuvering acceleration affects internal excitation and force characteristics in the system were explored. Results show that maneuvering acceleration induces shaft deformation, causing time-varying fluctuations in the center distance between meshing gears. This further leads to changes in meshing stiffness, transmission error, and tooth backlash. Correspondingly, bearing support force, gear meshing force, and Hertzian contact dynamic stress vary with maneuvering overload-especially the bearing force aligned with the overload direction, which is significantly affected by acceleration. This finding provides a critical theoretical basis for the structural design and dynamic optimization of high-maneuverability aircraft gear transmissions.

Journal of Vibroengineering, (in Press).Shuai Huang, Xinyue Zhang, Zhigang Tao, Zhonghao Xiong, Junbiao He, Pengcheng Pei, Tingting Liu, Jingwei Liu, Liwei XiuStrike-slip fault misalignment can lead to stress concentration, fissure development, and slip instability in overlying soil layers, triggering geologic hazards such as surface displacement, landslides, and rock formation deformation, causing severe damage to buried infrastructure. In cross-regional energy transmission projects, stress concentration and deformation failure induced by fault movement in cross-fault buried pipelines critically threaten the safe transmission of oil and gas. As the scale of oil and gas pipeline construction in China expands, pipelines inevitably cross fault zones, increasing rupture risk and necessitating investigation of fault misalignment mechanisms and pipeline mechanical response. This study employs three-dimensional nonlinear finite element analysis to investigate the mechanical response of X80 buried pipelines under strike-slip fault action. A comprehensive pipe-soil interaction model incorporating the Ramberg-Osgood constitutive relationship and Mohr-Coulomb soil plasticity is developed using ABAQUS software. The research systematically examines the effects of fault displacement (0.5-2.5 m), pipeline wall thickness (18.4-32.1 mm), internal pressure (0-12 MPa), and pipe-soil friction coefficient (0.3-0.6) on pipeline stress and strain responses. Key findings include: (1) a characteristic bimodal von Mises stress distribution occurs at approximately ±20 m from the fault plane, with secondary peaks at ±10 m; (2) stress and strain increase nonlinearly with fault displacement, with diminishing increments as the material enters the plastic regime; (3) increasing wall thickness from 18.4 mm to 32.1 mm reduces maximum tensile strain by approximately 50 %; (4) internal pressure and friction coefficient effects are significant only below the 2 m fault displacement threshold. The results provide quantitative guidelines for wall thickness selection and protective measure implementation for cross-fault pipeline design, ensuring safe operation during service life.

Journal of Vibroengineering, (in Press).Shudong Zhou, Wenxuan Zhang, Weijia Li, Jian WangThis study presents a multi-scale finite-discrete element modeling approach for blasting-induced fracture in polycrystalline granite, with explicit consideration of grain boundary effects, to accurately reproduce the mesoscopic heterogeneity and dynamic fracture responses of granite under ultra-small diameter borehole blasting. A Voronoi-based polycrystalline geometric model is established via Neper software to characterize mineral distribution and microstructural anisotropy. Cohesive elements are simultaneously inserted into intragranular and grain boundary regions in Abaqus with differentiated mechanical parameters, and the Jones-Wilkins-Lee (JWL) equation of state is used to apply the dynamic blasting load of PETN explosive. Numerical results agree well with laboratory blasting tests, showing typical failure zones including a crushing zone, a radial fracture zone, and a circumferential tensile fracture zone. The polycrystalline model exhibits prominent non-uniformity and dynamic anisotropy in crack propagation, which is strongly governed by grain morphology and grain boundary properties. Grain boundary strength is identified as a key factor controlling the dynamic fracture mode: with decreasing grain boundary strength, the failure pattern gradually shifts from transgranular fracture to mixed fracture and then to intergranular fracture. Under moderate grain boundary strength, blasting energy is first transmitted inside grains and then released and dissipated at weak grain boundaries, forming a chain-type dynamic failure mechanism: intragranular energy transfer to grain boundary fracture. The proposed method reveals the micro-dynamic evolution mechanism of granite damage under ultra-small diameter blasting and provides a reliable theoretical basis for blasting parameter optimization, rock fragmentation control, and blast-induced vibration prediction in precision rock blasting engineering.

Journal of Vibroengineering, (in Press).Chunshan Zhu, Qinglong Wang, Yunga A, Xueqi Shi, Wenjiao LuDue to non-stationary noise, the low-voltage power line communication (LPCC) encounters significant challenges in smart grid applications. Conventional denoising techniques, such as wavelet thresholding and adaptive filtering, exhibit limited performance in complex industrial environments, while emerging deep learning models often suffer from insufficient real-time capability. In response to the noise characteristics of low-voltage power line channels and the limitations of traditional impedance matching algorithms, we propose a hybrid CNN-LSTM (Convolutional Neural Network-Long Short-Term Memory Network) architecture. A dual-branch feature fusion mechanism is introduced, which employs parallel processing of time-frequency features via STFT+WVD (Short-Time Fourier Transform+Wigner-Ville Distribution) to enhance noise identification accuracy. A dynamic impedance matching module, optimized in real time using a deep reinforcement learning (DRL)-based gradient descent algorithm, is developed to overcome the poor adaptability of conventional fixed-parameter approaches. Furthermore, a joint noise suppression and signal reconstruction framework is designed to effectively preserve useful signal components while suppressing noise. The experimental results verify that the proposed model achieves an SNR (Signal-to-Noise Ratio) improvement of up to 18.2 dB, outperforming the conventional DnCNN (Denoising Convolutional Neural Network) method by 16.7 %. Under harmonic interference conditions (THD = 15 %), the waveform distortion rate is only 2.1 %, with latency optimized to 9.2 ms, meeting real-time requirements. By incorporating multi-scale feature fusion and dynamic gating mechanisms, the model effectively mitigates mixed interference composed of switching impulse noise and additive white Gaussian noise, which will offer a viable solution for enhancing the reliability of LPCC systems.

Journal of Vibroengineering, (in Press).Yonggang WangMechanical deformation and fatigue fracture of the steel wire layer are the main damage modes of wire reinforced hoses in automotive fuel delivery systems. To investigate the anti-vibration performance of steel wire reinforced hoses, a finite element model covering prestressed modal calculation, harmonic response analysis and random vibration analysis was constructed based on the modal superposition method. Parametric comparative analyses were carried out respectively under varied conditions of hose length (200-320 mm), wall thickness (0.75-0.9 mm) and fuel delivery pressure (0-12 MPa), and the influence laws of each parameter on the anti-vibration performance of steel wire reinforced hoses were obtained. The study revealed that the first six natural frequencies of the model ranged from 66.311 Hz to 108.877 Hz, which were highly overlapped with the energy-concentrated frequency band of 0-100 Hz in the power spectral density (PSD) of road surface excitation. Parametric analyses showed that low-frequency resonance stress could be reduced by lengthening the hose, while stress concentration at the end would be intensified. The vibration characteristics and fatigue damage mechanism of steel wire reinforced hoses under actual service conditions were clarified, which could provide reliable theoretical basis and technical support for the anti-vibration design and parameter optimization of flexible pipelines in automotive fuel systems.