Numerical enhancement of NMT for predicting fatigue failure

被引:0
作者
Doughty, Timothy A. [1 ]
Dally, Matthew R. [1 ]
Bacon, Mikah R. [1 ]
机构
[1] University of Portland, 5000 N Willamette Blvd, Portland, 97203, OR
来源
Doughty, Timothy A. (doughty@up.edu) | 1600年 / SAGE Publications Ltd卷 / 05期
关键词
Failure; Fatigue; Health monitoring; Nonlinear; Numerical enhancement;
D O I
10.1007/978-3-319-04570-2__18
中图分类号
学科分类号
摘要
Nonlinear Model Tracking (NMT) has been shown to be a robust method for predicting failure through nondestructive health monitoring. The method has been applied to slender cantilever beams of varying geometry subjected to harmonic nonstationary base excitation around the beams second natural frequency.Working with a nonlinear differential equation model, model parameters are mapped as the system health degrades. Continuous Time System Identification is populated with healthy system stimulus and response data and updated with aging real time response data. While the NMT method indicates with repeatability the onset of plasticity, crack initiation and growth well in advance of system failure, a phenomenon associated with specific geometries known as early onset drift can incorrectly flag system failure. Through numerical methods this phenomenon is explored. Additionally, two investigative numerical techniques are developed to give greater understanding and utility to the NMT method. © The Society for Experimental Mechanics, Inc. 2014.
引用
收藏
页码:159 / 166
页数:7
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