CAJ | 학술논문

试件或设备内部缺陷的定量识别已成为红外无损检测与传热反问题领域的一个重要研究方向。针对基于表面红外测温的试件内部多缺陷的识别问题，提出了基于参数转化思想和遗传算法的一种新的定量识别方法，初步研究显示了对试件内部多缺陷识别的良好的适用性。针对该方法，以二维试件内部多缺陷试件为例，从缺陷的位置、形状、数目、网格密度、测温误差等各个方面系统地分析该方法的性能。一系列数值试验验证了该方法的有效性，证明了在各种因素影响下该算法均具有非常优越的性能。
시건혹설비내부결함적정량식별이성위홍외무손검측여전열반문제영역적일개중요연구방향。침대기우표면홍외측온적시건내부다결함적식별문제，제출료기우삼수전화사상화유전산법적일충신적정량식별방법，초보연구현시료대시건내부다결함식별적량호적괄용성。침대해방법，이이유시건내부다결함시건위례，종결함적위치、형상、수목、망격밀도、측온오차등각개방면계통지분석해방법적성능。일계렬수치시험험증료해방법적유효성，증명료재각충인소영향하해산법균구유비상우월적성능。
Quantitative identification of inner defects in one test piece is a very important research content in both infrared nondestructive testing and inverse heat conduction problem. Recently, a new method, aiming to identify the multiple defects in one single test piece, and based on parameter transformation and genetic algorithm is presented by this paper, and numerical examples have been given to prove primarily the advantages of the method. In this paper, the performance of the method is systematically studied, in consideration of the position, shape, number of the defects, grid number, the temperature measurement error and etc. A series of numerical experiments prove the effectiveness of the method. Excellent performance of the method is shown though under the influence of these factors.