Impact identification for a metallic plate using distributed smart materials

Peelamedu, Saravanan M.; Naganathan, Nagi G.; Dukkipati, Rao V.; Srinivas, J.

doi:10.1088/0964-1726/14/2/020

Cited by 6 publications

(8 citation statements)

References 15 publications

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“…where  is a constant depending on the thickness and mechanical properties of the piezoceramic sensor and the bonding effects of Loctite Super Glue [34].…”

Section: Experimental Set-up and Proceduresmentioning

confidence: 99%

Automated algorithm for impact force identification using cosine similarity searching

Kalhori

Alamdari

2018

Measurement

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A similarity searching technique is adopted to identify the impact force applied on a rectangular carbon fibre-epoxy honeycomb composite panel. The purpose of this study is to simultaneously identify both the location and magnitude of an unknown impact using the measured dynamic response collected by only a single piezoelectric sensor. The algorithm assumes that a set of impact forces are concurrently applied on a set of pre-defined locations. However, the magnitude of all the impact forces except one is considered to be zero. The impact force at all potential locations is then reconstructed through an l2-norm-based regularisation via two strategies: even-determined approach and under-determined approach. In an evendetermined approach, the reconstruction process is performed independently for each pair of sensor and potential impact location. However, in an under-determined approach, the captured vibration signal is the superposition of the responses of the simultaneous 'assumed' impacts at the potential locations. Using either approach, a reconstructed impact force is obtained for each potential impact location. The reconstructed impact forces at spurious locations are expected to have zero magnitude as no impact has actually occurred at these locations. However, there might

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“…where  is a constant depending on the thickness and mechanical properties of the piezoceramic sensor and the bonding effects of Loctite Super Glue [34].…”

Section: Experimental Set-up and Proceduresmentioning

confidence: 99%

Automated algorithm for impact force identification using cosine similarity searching

Kalhori

Alamdari

2018

Measurement

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“…where C is a constant depending on sensor thickness, piezoelectric coefficient and the bonding effects (Peelamedu et al, 2005). If the wavelength of the dynamic signals is assumed to be much longer than the sensor diameter, the sensor response can be considered as a point response.…”

Section: Experimental Set-up and Proceduresmentioning

confidence: 99%

Inverse estimation of impact force on a composite panel using a single piezoelectric sensor

Kalhori

Mustapha

2016

Journal of Intelligent Material Systems and Structures

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Identification of location and magnitude of impact forces on a rectangular carbon fibre–epoxy honeycomb composite panel has been experimentally investigated through an inverse approach. The dynamic signals captured by a single piezoelectric (PZT) sensor installed on the panel remotely from the impact locations are utilized to identify the impact forces generated by an instrumented hammer. A number of potential impact locations on the panel are assumed to be known a priori. An actual impact is then occurred at one or two of these locations. The objective is to simultaneously identify the location and magnitude of the impact forces using the PZT sensor. The problem is solved through minimization of an extended matrix form of the convolution integral incorporating linear superposition of the responses due to impact at different locations. The under-determined problem is ill-posed and is regularized by Tikhonov and generalized cross validation methods. It is revealed that impact forces occurred at any location among four possible locations can be well identified.

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“…Each sine term in the above equation satisfies conditions at the edges which require that: w = ∂ 2 w/∂ 2 x = 0 at x = 0, a; and w = ∂ 2 w/∂ 2 y = 0 at y = 0, b. With these displacements, the stress [8], strain, and moments are computed [2] to obtain the variation in the work done by external forces, strain energy, and kinetic energy of the plate [5]. The Hamilton principle is…”

Section: Model Derivationmentioning

confidence: 99%

“…Incorporating the appropriate boundary conditions, loading, and contact would give the actual plate equation for that specific case [5]. Using equation ( 2) and following the procedure given in figure 3, equation (3) leads to the final plate equation.…”

Section: Safety Restraintmentioning

confidence: 99%

Impact detection for smart automotive damage mitigation systems

Peelamedu¹,

Ciocanel²,

Naganathan³

2004

Smart Mater. Struct.

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Occupant safety and severity of vehicle damage are important factors in automotive vehicle design. Smart automobiles of the future could potentially use distributed smart material sensors and actuators in order to identify impact and take appropriate evasive or mitigative actions. This provides the motivation for this study. The first part of this study is focused on detecting the location and magnitude of impact, particularly for the case where the automotive structure is subjected to minimal damage. This is accomplished by developing a generalized algorithm using the Reissner–Mindlin plate theory, the Rayleigh–Ritz energy approach, and the Lagrangian–Hamilton principle. The level of performance of this methodology is demonstrated for impacts on a simply supported rectangular plate. Different case studies for static as well as impact loading with point as well as area contacts are presented. An algorithm using deconvolution for identifying impact location and magnitude has been developed and implemented. Additionally, the influence of damage on the structural vibratory content is studied via a frequency analysis. Modal analyses for undamaged and damaged plates, with nine different damage locations and six different damage sizes, are performed. Changes in frequency and mode shapes are observed as regards the severity of the damage.

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Impact identification for a metallic plate using distributed smart materials

Cited by 6 publications

References 15 publications

Automated algorithm for impact force identification using cosine similarity searching

Automated algorithm for impact force identification using cosine similarity searching

Inverse estimation of impact force on a composite panel using a single piezoelectric sensor

Impact detection for smart automotive damage mitigation systems

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