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Degree of failure prediction device, learned model, and generation method of learned model

机译:学习模型的失效预测设备,学习模型和生成方法

摘要

Problem to be solved: to predict the damage when an external force is applied to the structure without any structural analysis.Damage prediction deviceMap of deterioration degree distribution or soundness distribution distribution in beam structure of pier or bridgeShape of beam structureThe external force applied to the beam structure is input data.The input data for the prediction means using the learning model which gave the machine data which gives the information of the damage state of the beam structure obtained from the result of the structural analysis when the external force is given to the beam structure to the data of the output, and the machine learning was given.Map of degradation degree distribution or soundness distribution distribution in beam structure obtained from inspection result of object structureThe shape of the beam structure in the subject structureAnd an input means for accepting the input of an external force to be applied to the subject structureDerived from the learning modelIt has an output means for outputting information indicative of the damage state predicted when an assumed external force is applied to the target structure.Diagram
机译:要解决的问题:预测当外力施加到结构时的损坏而没有任何结构分析。码头梁结构的偏振度分布或梁结构的梁结构中的声音分布分布的阳光结构的偏振分布分布结构是输入数据。使用提供机器数据的学习模型的预测装置的输入数据,该学习模型给出了从对梁给出的结构分析结果获得的光束结构的损伤状态的信息对输出数据的结构,并且给出了机器学习的方法。从主题结构中的光束结构的对象结构形状的检查结果获得的光束结构中的劣化度分布或声音分布分布的分布分布。一种用于接受输入的输入装置将应用于主题结构的外力M学习模型具有输出装置,用于输出指示当假设的外力应用于目标结构时预测的损坏状态的信息.diagram

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