패턴인식을 이용한 고장력강의 용접 구조건전성 평가에 대한 음향방출 사례연구: 인장시험을 중심으로
Acoustic Emission Studies on the Structural Integrity Test of Welded High Strength Steel using Pattern Recognition: Focused on Tensile Test
김길동(충청대학 품질경영과); 이장규(인천대학교)
10권 4호, 127~134쪽
초록
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.
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.
- 발행기관:
- 대한안전경영과학회
- 분류:
- 안전공학