张林, 范春利, 孙丰瑞, 杨立. 基于APDL的管道内壁边界识别算法[J]. 红外与激光工程, 2015, 44(5): 1477-1484.
引用本文: 张林, 范春利, 孙丰瑞, 杨立. 基于APDL的管道内壁边界识别算法[J]. 红外与激光工程, 2015, 44(5): 1477-1484.
Zhang Lin, Fan Chunli, Sun Fengrui, Yang Li. Identification algorithm of pipelines' inner boundary based on APDL[J]. Infrared and Laser Engineering, 2015, 44(5): 1477-1484.
Citation: Zhang Lin, Fan Chunli, Sun Fengrui, Yang Li. Identification algorithm of pipelines' inner boundary based on APDL[J]. Infrared and Laser Engineering, 2015, 44(5): 1477-1484.

基于APDL的管道内壁边界识别算法

Identification algorithm of pipelines' inner boundary based on APDL

  • 摘要: 基于表面测温的缺陷或缺陷边界的定量识别算法是目前红外无损检测从定性向定量发展的关键理论基础。针对目前方法识别不规则缺陷边界精度相对较低的问题,通过关联ANSYS软件和MATLAB软件,利用有限元方法和共轭梯度法对二维管道内壁边界形状的稳态识别进行了研究。针对不同内壁边界形状以及试件形状的识别问题,系统地讨论了边界形状初始假设、检测表面温度测量误差及测温点数目、所识别边界的离散点数目以及试件的导热系数等一系列因素对识别结果的影响。数值实验证明了该方法的有效性及精确性。该方法可以在较短的计算时间内得到非常精确的稳态识别结果,大大提高了管道内壁边界形状识别的效率。

     

    Abstract: Quantitative identification algorithm of defect or defect boundary is the key theoretical basis for the development of quantitative nondestructive testing and evaluation. For the geometry identification of inner pipe boundary (i.e. geometry-varied boundary due to defects), most methods developed up to now are not precise for the identification of irregular-shaped inner boundary. In this paper the steady-state identification problem was solved, with different inner boundary geometries and different test piece shapes, based on finite element method and conjugate gradient method by associating ANSYS software with MATLAB. A series of effecting factors, such as the initial boundary geometry guess, temperature measurement error and number of measurement points at the inspection boundary, number of discrete points of the boundary to be identified, and the thermal conductivity of the test piece, were studied systematically on the effect on the identification result. Numerical experiments certified the effectiveness of the method and proved the method to be very precise and time saving.

     

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