Single-sensor approach for impact localization and force reconstruction by using discriminating vibration modes

This study presents a novel strategy for identifying an impact event on a structure from vibration measurements. Compared to triangulation techniques that require at least three sensors on a plate-like structure, only one sensor is used in this work for localizing the impact point. The proposed approach consists in extracting specific modal ponderations as a signature of impact location. The force reconstruction problem is simultaneously addressed by fitting a parametric law. The proposed procedure captures the main load history parameters such as the impact time, its duration and its intensity. An impact test campaign is performed on a metallic plate, equipped with one accelerometer only, to confirm the validity of the proposed single-sensor approach. The methodology is efficient for accurately localizing impacts that are applied anywhere on the plate and for quickly estimating the main load history parameters.

[1]  Vladislav Laš a,et al.  Reconstruction of impact force on curved panel using piezoelectric sensors , 2012 .

[2]  Jiawei Xiang,et al.  Impact energy level assessment of composite structures using MUSIC‐ANN approach , 2016 .

[3]  Samir Mustapha,et al.  Reconstruction and Analysis of Impact Forces on a Steel-Beam-Reinforced Concrete Deck , 2016 .

[4]  Li Zhou,et al.  Impact load identification of composite structure using genetic algorithms , 2009 .

[5]  José Rodellar,et al.  Partial least square/projection to latent structures (PLS) regression to estimate impact localization in structures , 2013 .

[6]  Ming-Kai Tse,et al.  Impact force identification using extracted modal parameters and pattern matching , 1992 .

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

[8]  Majura F. Selekwa,et al.  Impact event identification in thin plates through real strain measurements , 2017 .

[9]  H. Inoue,et al.  Review of inverse analysis for indirect measurement of impact force , 2001 .

[10]  Quentin Leclere,et al.  Indirect measurement of main bearing loads in an operating diesel engine , 2005 .

[11]  Qiuhai Lu,et al.  Impact localization and identification under a constrained optimization scheme , 2016 .

[12]  Ruonan Liu,et al.  The application of cubic B-spline collocation method in impact force identification , 2015 .

[13]  Lisheng Liu,et al.  Localization of impact on composite plates based on integrated wavelet transform and hybrid minimization algorithm , 2017 .

[14]  Per Christian Hansen,et al.  Analysis of Discrete Ill-Posed Problems by Means of the L-Curve , 1992, SIAM Rev..

[15]  Alain Berry,et al.  A Plane and Thin Panel with Representative Simply Supported Boundary Conditions for Laboratory Vibroacoustic Tests , 2016 .

[16]  Bor-Tsuen Wang,et al.  Prediction of Impact and Harmonic Forces Acting on Arbitrary Structures: Theoretical Formulation , 2002 .

[17]  Bor-Tsuen Wang,et al.  DETERMINATION OF UNKNOWN IMPACT FORCE ACTING ON A SIMPLY SUPPORTED BEAM , 2003 .

[18]  M. Géradin,et al.  Mechanical Vibrations: Theory and Application to Structural Dynamics , 1994 .

[19]  Mijia Yang,et al.  Impact location and load identification through inverse analysis with bounded uncertain measurements , 2013 .

[20]  Jan Bartošek,et al.  Reconstruction of Impact on Composite Airfoil Segment Using Piezoelectric Sensors , 2014 .

[21]  P. Hansen.  Rank-Deficient and Discrete Ill-Posed Problems: Numerical Aspects of Linear Inversion , 1987 .

[22]  Joël Cugnoni,et al.  Low energy impact damage monitoring of composites using dynamic strain signals from FBG sensors - Part I: Impact detection and localization , 2012 .

[23]  Abdellatif Khamlichi,et al.  Assessing impact force localization by using a particle swarm optimization algorithm , 2014 .