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STRUCTURAL INTEGRITY PROGNOSIS

机译:结构完整性预后

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摘要

The structural integrity of aircraft has become a critical issue in ensuring the combat readiness of aging aircraft and in the need for more efficient use and maintenance of critical assets. In order to address this need, a science-based approach is being taken for the development of a Structural Integrity Prognosis System (SIPS). This system is designed to provide near-term predictions of the structural integrity of individual assets and is based on a collaboration between detailed models of fatigue damage, aircraft history and usage data, sensor systems, and a unique reasoning system designed to provide a probabilistic prediction of structural viability under a variety of future use scenarios. The modeling and simulation systems are founded on detailed physical models of the fatigue and corrosion degradation processes. These physical mechanisms are being incorporated into computer code that permits prediction of the current state of damage and of the evolution of damage with expected usage. The sensor systems range from sensitive laboratory devices that are unsuitable for deployment but useful for model calibration, on to hardened, deployable sensor systems. Use is also made of information from the vehicle tracking systems. Data from the sensors and predictions from the models are combined in a reasoning and prognosis system that takes into account the uncertainties in the models, sensors, and usage data. Combining all of these data using unique algorithms results in near-term predictions of structural viability, suitable for use in deployment decisions.
机译:飞机的结构完整性成为确保老化飞机的作战准备以及需要更有效地使用和维护关键资产的关键问题。为了解决这种需求,正在采取一种基于科学的方法来发展结构完​​整性预后系统(SIPS)。该系统旨在提供各个资产结构完整性的近期预测,并且基于疲劳损坏,飞机历史和使用数据,传感器系统和设计用于提供概率预测的独特推理系统之间的协作各种未来使用方案下的结构存活率。建模和仿真系统建立在疲劳和腐蚀劣化过程的详细物理模型上。这些物理机制被结合到计算机代码中,允许预测当前损坏状态和预期使用的损坏的演变。传感器系统的范围从敏感的实验室设备不适合部署,而是用于模型校准,用于硬化,可部署的传感器系统。使用也是由车辆跟踪系统的信息制成的。来自传感器和模型预测的数据在推理和预后系统中组合,考虑了模型,传感器和使用数据的不确定性。使用独特算法组合所有这些数据导致结构存取性的近期预测,适用于部署决策。

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