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水下爆炸船体结构与系统动力学响应不确定性特征分析

ANALYSIS OF UNCERTAINTY CHARACTERISTICS OF EARLY DYNAMIC RESPONSE OF HULL STRUCTURE AND SYSTEM OF UNDERWATER EXPLOSION

  • 摘要: 水下爆炸船体结构动力学响应分为早期和后期, 早期动力学响应产生结构毁伤, 具有强非线性、非平稳特征, 系统参数、初始条件等因素的变化将导致早期动力学响应出现分岔、突变等现象, 输出展现不确定性特质. 本文针对水下爆炸船体结构与系统早期动力学响应特征时空解耦数据分析问题, 基于相空间重构技术、抛物线映射方法以及符号动力学理论, 提出一种强非线性动力学动态数据分析方法, 刻画水下爆炸船体结构早期动力学响应演化特征, 实现在系统参数邻域内预报试验结果. 首先, 本文以某加筋圆柱壳结构为原型, 设计不同冲击因子条件下的缩比模型试验, 研究不同冲击载荷作用下水下爆炸船体结构非线性、非平稳动力学响应的时空演化规律, 对其不确定性特征进行表征与刻画. 其次, 本文以某型舰船为原型设计的舱段结构和浮动冲击平台模型试验, 进一步分析水下爆炸船体结构早期动力学响应不确定性特征, 证明方法的有效性与普适性. 研究结果表明: 舰船水下爆炸非线性动力学动态数据分析技术可以对水下爆炸舰船非线性、非平稳动力学响应进行表征与刻画, 可实现系统参数邻域内预报试验结果.

     

    Abstract: The dynamic response of ship hull structures subjected to underwater explosions is conventionally bifurcated into early-stage and late-stage responses. The early-stage response, which directly induces structural damage, exhibits pronounced nonlinear and non-stationary characteristics. This response phase demonstrates extreme sensitivity to variations in system parameters, initial conditions, and environmental factors, leading to complex dynamical phenomena such as bifurcation and mutation in response trajectories. Consequently, the output manifests significant uncertainty, complicating precise prediction and analysis. To address these challenges, this study proposes a novel analytical framework integrating phase space reconstruction techniques, parabolic mapping methodologies, and symbolic dynamics theory. This hybrid approach aims to decode the spatiotemporal evolution patterns of the early-stage dynamic response and establish predictive capabilities within the parametric neighborhood of the system. The research methodology commenced with the development of a scaled experimental model based on a stiffened cylindrical shell structure. Systematic tests were conducted across a spectrum of impulse factor conditions to investigate the nonlinear, non-stationary dynamic response characteristics under varied loading regimes. Advanced signal processing and uncertainty quantification techniques were employed to characterize the inherent variability in these responses. Subsequently, the research scope was expanded to include full-scale cabin segment structures and floating impact platforms modeled after actual naval vessel configurations. These experiments were designed to validate the proposed methodology's applicability under more complex boundary conditions and loading scenarios, thereby demonstrating its universality and robustness. The analytical framework leverages phase space reconstruction to transform complex time-domain response signals into multi-dimensional geometric representations. This transformation facilitates the identification of underlying dynamic patterns and attractors. Parabolic mapping techniques are then applied to establish explicit relationships between successive states in the phase space trajectory, capturing transient response features with high fidelity. Symbolic dynamics theory provides a mechanistic framework to encode continuous dynamic processes into discrete symbolic sequences, enabling quantitative analysis of system complexity and uncertainty propagation. The experimental campaign revealed that the proposed methodology successfully characterized the nonlinear response evolution across different structural configurations and loading conditions. Statistical analyses of the experimental data demonstrated that the technique could predict response thresholds and variability within the parametric design space. These findings hold significant implications for naval architecture and marine engineering, providing enhanced capabilities for assessing structural integrity under extreme dynamic loads. The methodology's demonstrated effectiveness across multiple scales and configurations underscores its potential for broader application in complex nonlinear dynamic systems beyond naval engineering.

     

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