Modified Zener Theory to Accurately Predict Impact Force Histories for Soft Impactors Employing Spiral Sensing

While predicting the impact force histories from the Zener impact model with different material properties of impactors, several discrepancies were observed and reported in this article. To overcome these discrepancies, a modified Zener model is proposed to accurately calculate impact force histories. In the original Zener theory, nonlinear Hertzian contact law was used, and it was assumed that impact forces are transmitted through natural intensity factors depending on coupled physical properties of the plate and the impactor. However, when the force histories were predicted, a diverging trend appeared for softer materials with elastic moduli below 20 GPa. It is hypothesized that the primary reasons for this divergence are due to the contact time delay and the viscoelastic dissipation of energy, which are not considered in current Zener models. Several modifications of the model have been proposed since its inception, but it has been found that they are not independently sufficient to accurately predict impact force histories. In this article, a modified Zener theory is proposed introducing two new parameters in the governing differential equation derived from the sensor phase lag index and the dominant frequency band through a set of experiments employing a spiral sensing mechanism followed by an optimization process. The spiral lag index shows an unexpected peculiar trend with soft impactors (< 20 GPa), which are distinctly different from hard impactors and are judicially incorporated in the model. Furthermore, the force histories are accurately reconstructed with the proposed modifications.

[1]  Victor Giurgiutiu,et al.  Lamb wave generation with piezoelectric wafer active sensors for structural health monitoring , 2003, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[2]  Sophocles J. Orfanidis,et al.  Optimum Signal Processing: An Introduction , 1988 .

[3]  Kuldeep Lonkar,et al.  On the Performance Quantification of Active Sensing SHM Systems Using Model-Assisted POD Methods , 2011 .

[4]  Lennart Ljung,et al.  Modeling Of Dynamic Systems , 1994 .

[5]  Stefan Hurlebaus,et al.  IDENTIFICATION OF THE IMPACT LOCATION ON A PLATE USING WAVELETS , 1998 .

[6]  T. Pritz Five-parameter fractional derivative model for polymeric damping materials , 2003 .

[7]  Jonghyun Park,et al.  Monitoring Impact Events Using a System-Identification Method , 2009 .

[8]  Sauvik Banerjee,et al.  Acoustic emission waveforms in composite laminates under low velocity impact , 2003, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[9]  S. Quek,et al.  Detection of cracks in plates using piezo-actuated Lamb waves , 2004 .

[10]  W. Binienda,et al.  Semianalytical Solution of Wave-Controlled Impact on Composite Laminates , 2009 .

[11]  Wieslaw J. Staszewski,et al.  Health Monitoring Of Aerospace Structures: Smart Sensor Technologies And Signal Processing , 2017 .

[12]  Darryll J. Pines,et al.  Piezoceramic-based 2D Spiral Array and Multiple Actuators for Structural Health Monitoring: Thin Isotropic Panel with Straight Boundaries , 2011 .

[13]  Robin Olsson,et al.  Closed form prediction of peak load and delamination onset under small mass impact , 2003 .

[14]  B. Tang,et al.  Cellular automata simulations of grain growth in the presence of second-phase particles , 2015 .

[15]  Mason A Porter,et al.  Dissipative solitary waves in granular crystals. , 2008, Physical review letters.

[16]  F. L. D. Scalea,et al.  Macro-fiber composite piezoelectric rosettes for acoustic source location in complex structures , 2007 .

[17]  Francesco Ciampa,et al.  Acoustic emission source localization and velocity determination of the fundamental mode A0 using wavelet analysis and a Newton-based optimization technique , 2010 .

[18]  C. Daraio,et al.  Strongly nonlinear waves in a chain of Teflon beads. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[19]  Christian Boller,et al.  Health Monitoring of Aerospace Structures , 2003 .

[20]  Walter Gautschi,et al.  Spirals: From Theodorus to Chaos , 1993 .

[21]  W. Staszewski,et al.  Impact damage location in composite structures using optimized sensor triangulation procedure , 2003 .

[22]  Carlos E. S. Cesnik,et al.  Guided wave excitation by a CLoVER transducer for structural health monitoring: theory and experiments , 2009 .

[23]  L. Bartel Modified Zener Model for Ferromagnetism in Transition Metals and Alloys—Model Calculations of T C , 1973 .

[24]  Sverre Holm,et al.  On a fractional Zener elastic wave equation , 2012 .

[25]  David Zhang,et al.  An integrated health management system for real-time impact monitoring and prediction of impact-induced damage on composite structures , 2010, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[26]  Yihuan Liao,et al.  Parameter identification of modified fractional Zener model for thermorheological materials , 2015 .

[27]  C. Zener The Intrinsic Inelasticity of Large Plates , 1941 .