High-resolution monitoring of aerospace structure using the bifurcation of a bistable nonlinear circuit with tunable potential-well depth

Abstract Monitoring structural parameter and strain of a flight vehicle is important for safety inspection. To detect the nuanced variation of the structural parameter and strain, this study proposes a novel bistable nonlinear circuit with tunable potential-well depth (TPWD), and integrates it with electromechanical transducer (e.g. piezoelectric transducer and strain gauge) to form a high-resolution structural sensor. The TPWD bistable circuit's bifurcation feature can significantly magnify the response's difference before and after the variation of the structural parameter and strain. It is beneficial to detection of the tiny structural variation. The theory of the TPWD bistable circuit and its application in high-resolution structural monitoring are presented. Then, experimental studies of the TPWD bistable circuit and its performance coupled with a structure are performed, which quantitatively and qualitatively verifies the theoretical predictions and the circuit's feasibility for structural detection. It is seen that the circuit's potential-well depth can be tuned to manipulate the bifurcation point, which can be adapted to different excitation levels. Finally, this paper performs investigations of the TPWD bistable circuit for detecting the variation of a wing structure's parameter and strain, respectively. Results show that by means of the TPWD bistable circuit's bifurcation, nuanced variations of both the structural parameter and strain can be evidently detected, leading to high-resolution structural monitoring.

[1]  Kon-Well Wang,et al.  Predicting non-stationary and stochastic activation of saddle-node bifurcation in non-smooth dynamical systems , 2016, Volume 2: Modeling, Simulation and Control; Bio-Inspired Smart Materials and Systems; Energy Harvesting.

[2]  Daniel J. Inman,et al.  Impact-induced high-energy orbits of nonlinear energy harvesters , 2015 .

[3]  Sathya Hanagud,et al.  Automated, Real-Time Health Monitoring of Structures for Interplanetary Exploration Systems , 2012 .

[4]  Jung-Ryul Lee,et al.  A health management technology for multisite cracks in an in-service aircraft fuselage based on multi-time-frame laser ultrasonic energy mapping and serially connected PZTs , 2016 .

[5]  Sondipon Adhikari,et al.  The analysis of piezomagnetoelastic energy harvesters under broadband random excitations , 2011 .

[6]  Alper Erturk,et al.  Enhanced broadband piezoelectric energy harvesting using rotatable magnets , 2013 .

[7]  Hector Gutierrez,et al.  Monitoring multi-axial vibrations of flexible rockets using sensor-instrumented reference strain structures , 2017 .

[8]  Ryan L. Harne,et al.  A review of the recent research on vibration energy harvesting via bistable systems , 2013 .

[9]  Nobuo Takeda,et al.  Structural health monitoring of composite wing structure during durability test , 2007 .

[10]  K. W. Wang,et al.  Concise and high-fidelity predictive criteria for maximizing performance and robustness of bistable energy harvesters , 2013 .

[11]  Constantinos Soutis,et al.  Structural health monitoring techniques for aircraft composite structures , 2010 .

[12]  Weiyang Qin,et al.  Enhancing ability of harvesting energy from random vibration by decreasing the potential barrier of bistable harvester , 2017 .

[13]  Lihua Tang,et al.  Magnetically coupled dual-beam energy harvester: Benefit and trade-off , 2017 .

[14]  Kestutis Pyragas,et al.  Delayed feedback control of periodic orbits without torsion in nonautonomous chaotic systems: theory and experiment. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[15]  Daniel J. Inman,et al.  Chaos in the fractionally damped broadband piezoelectric energy generator , 2015 .

[16]  Brian P. Mann,et al.  Harmonic balance analysis of the bistable piezoelectric inertial generator , 2012 .

[17]  C Wölfinger,et al.  Health-monitoring-system based on piezoelectric transducers , 1998 .

[18]  Daniel L. Balageas Structural health monitoring R&D at the “European Research Establishments in Aeronautics” (EREA) , 2002 .

[19]  Yong-Jin Yoon,et al.  Lowering the potential barrier of a bistable energy harvester with mechanically rectified motion of an auxiliary magnet oscillator , 2017 .

[20]  Nesrin Sarigul-Klijn,et al.  A review of uncertainty in flight vehicle structural damage monitoring, diagnosis and control: Challenges and opportunities , 2010 .

[21]  Umberto Papa,et al.  Health structure monitoring for the design of an innovative UAS fixed wing through inverse finite element method (iFEM) , 2017 .

[22]  K. W. Wang,et al.  Robust sensing methodology for detecting change with bistable circuitry dynamics tailoring , 2013 .

[23]  Olivier Thomas,et al.  Vibrations of an elastic structure with shunted piezoelectric patches: efficient finite element formulation and electromechanical coupling coefficients , 2009 .

[24]  Ying-Cheng Lai,et al.  Inducing Chaos in Electronic Circuits by Resonant Perturbations , 2007, IEEE Transactions on Circuits and Systems I: Regular Papers.

[25]  Li-Qun Chen,et al.  Internal Resonance Energy Harvesting , 2015 .

[26]  Li-Qun Chen,et al.  Snap-through piezoelectric energy harvesting , 2014 .

[27]  Kon-Well Wang,et al.  Predicting non-stationary and stochastic activation of saddle-node bifurcation in non-smooth dynamical systems , 2018 .

[28]  Jiann-Shiun Lew Transfer Function Parameter Changes Due to Structural Damage , 1998 .