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Influence of the number of acoustic emission descriptors on the accuracy of destructive process identification in concrete structures

机译:声发射描述函数对混凝土结构中破坏性过程识别准确性的影响

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The use of multi-parameter analysis of acoustic emission signals allows identifying destructive processes not only in prestressed concrete elements but also in classical concrete and reinforced concrete members. The analysis is not based on single descriptors but on destructive processes, which may be used to evaluate structural integrity of the elements. Therefore the key question is the minimum number of parameters needed to develop a database of reference signals. To determine the effect of particular descriptors on the correctness of the database being created, the authors applied dendograms and three statistical criteria, Wilks' Lambda, Rij and Tou criteria.
机译:声发射信号的多参数分析允许识别不仅在预应力的混凝土元件中识别破坏过程,也允许在古典混凝土和钢筋混凝土构件中识别破坏性过程。分析不是基于单个描述符,而是用于破坏性过程,其可用于评估元素的结构完整性。因此,关键问题是开发参考信号数据库所需的最小参数数。为了确定特定描述符对正在创建的数据库的正确性的影响,作者应用了Dendogars和三个统计标准,Wilk的Lambda,RIJ和Tou标准。

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