An experimental method to obtain the hard alpha anomaly distribution for titanium alloy aeroengine disks

A probability-based damage tolerance methodology has been proposed to improve the recognition of material anomalies, especially hard alpha (TiN) anomalies for aeroengine rotor disks. A key input to this method is hard alpha anomaly distribution, which reflects the occurrence rate and size of anomalies present in the finished part material of titanium rotors. Since anomalies rarely occur naturally, an experimental method is proposed to obtain the anomaly distribution for titanium alloy aeroengine disks to reflect and equivalently replace the manufacturing development in titanium industry. In general, the anomaly distribution information can be divided into two parts: the Probability of Detection (POD) curve and the detected anomaly distribution, which contains the size and frequency data of the detected anomalies. The distribution can be established based on several appropriate assumptions and derivation steps with different confidence levels of POD curves and detected anomaly distributions. In this case, the distribution can be obtained in a relatively short time as a key input to the probability-based damage tolerance methodology. Then the Probability of Failure (POF) can be calculated, and the value is found to vary with different confidence levels. On this basis, the conservative estimated POF can be obtained in conjunction with confidence levels.     

扰动引力场对远程火箭影响的分析及补偿方法研究进展

在分析扰动引力场影响机理的基础上,梳理了目前垂线偏差及扰动引力影响的分析方法。介绍了垂线偏差和扰动引力快速重构的主要研究进展。最后从弹道诸元、制导诸元和箭上实时三个方面评估了扰动引力场影响补偿的方法。本文的工作为提升扰动引力场下远程火箭的精度和快速反应能力提供了支持。     

结合卫星遥感的 PM2.5 浓度估算与站点异常分析

针对大气污染难监测、异常数据难分析等问题，充分发挥气象卫星多时相观测优势，以N维代价函数算法为依托进行逐小时气溶胶光学厚度反演。进一步以随机森林回归算法为基础，结合气象参数、地面监测参数等辅助变量进行近地面PM2.5浓度估算，并据此开展时空分布与浓度异常分析。江苏省2021年1–6月PM2.5浓度遥感估算精度验证结果显示，其相关性精度达到94%，偏差为5.59μg/m³，证明以卫星遥感数据为基础进行PM2.5浓度估算具有高可靠性与可行性。通过其建立的全区域、多时相监测体系可有效进行PM2.5浓度的时空分布分析，明晰PM2.5分布状况，助力空气污染治理管控。通过卫星估算结果与地面站点监测结果的对比分析，准确识别大泉街道数据低报事件，验证人为干扰数据采集工作，实现星地数据双向监督。文章研究证明，卫星遥感技术可有效支撑近地面PM2.5浓度估算与数据异常分析，推动新时代生态文明建设。