A data-driven approach to construct a quantitative relationship between microstructural features of fatigue cracks and contact acoustic nonlinearity

HIGHLIGHTS

  • who: Jiang Jin et al. from the Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, Pennsylvania, USA have published the article: A data-driven approach to construct a quantitative relationship between microstructural features of fatigue cracks and contact acoustic nonlinearity, in the Journal: (JOURNAL)
  • what: This study shows the feasibility of a data-driven approach to construct a quantitative relationship between nonlinear acoustic parameters and microstructural features of contact interfaces. The authors compare three regression models that take variable selection into account: stepwise multiple linear regression (MLR) stepwise principal component regression . . .

     

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