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首页> 外文期刊>Network Daily News >Investigators at PLA Academy of Military Sciences (PLA AMS) Discuss Findings in Applied Physical Science (Fracture Prediction of Cfrp Laminates Subjected To Cw Laser Heating and Pre-tensile Loads Based On Ann)
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Investigators at PLA Academy of Military Sciences (PLA AMS) Discuss Findings in Applied Physical Science (Fracture Prediction of Cfrp Laminates Subjected To Cw Laser Heating and Pre-tensile Loads Based On Ann)

机译:调查人员在人民解放军军事科学院在应用物理(PLA AMS)讨论的发现科学(裂缝预测碳纤维增强塑料层压制品连续波激光加热和Pre-tensile加载基于安)

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摘要

By a News Reporter-Staff News Editor at Network Daily News – Investigators discuss new findings in Science - Applied Physical Science. According to news reporting originating in Beijing, People’s Republic of China, by NewsRx journalists, research stated, “For the application of composite materials in a complex thermal and mechanical environment, we developed a standard artificial neural network (ANN) model for the fracture prediction of carbon fiber-reinforced polymer (CFRP) laminates under continuous wave laser heating and pre-tensile loads. A substantial amount of data was collected through experimentation and from published references, which were converted into 12 800 binary-classification-type input/output data pairs before being used for model training.”
机译:由一个新闻记者在网络新闻编辑每日新闻,调查人员讨论新发现在科学,应用物理科学。新闻报道,起源于北京,中华人民共和国NewsRx研究表示,记者”的应用在一个复杂的复合材料热力和机械环境,我们开发了一个标准的人工神经网络(ANN)模型裂缝预测的碳纤维增强聚合物(碳纤维增强塑料)复合材料连续波激光加热和pre-tensile负载。通过实验和出版引用,转化成800binary-classification-type输入/输出数据对用于模型训练。”

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