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- W759733009 abstract "The objective of this study is to evaluate the mechanical behaviors and structural integrity of the weldment of high strength steel by using an acoustic emission (AE) techniques. Monotonic simple tension and AE tests were conducted against the 3 kinds of welded specimen. In order to analysis the effectiveness of weldability, joinability and structural integrity, we used K-means clustering method as a unsupervised learning pattern recognition algorithm for obtained multi-variate AE main data sets, such as AE counts, energy, amplitude, hits, risetime, duration, counts to peak and rms signals. Through the experimental results, the effectiveness of the proposed method is discussed." @default.
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- W759733009 date "2008-01-01" @default.
- W759733009 modified "2023-09-24" @default.
- W759733009 title "Acoustic Emission Studies on the Structural Integrity Test of Welded High Strength Steel using Pattern Recognition: Focused on Tensile Test" @default.
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