Dr. Anindya Ghoshal Profile

Dr. Anindya Ghoshal

Sr Research Scientist

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Publications (17)

Proceedings Article | 3 April 2013 Paper

Lamb wave dispersion under finite plastic deformation

Kuang Liu, Anindya Ghoshal

Proceedings Volume 8689, 86890A (2013) https://doi.org/10.1117/12.2012072

KEYWORDS: Time metrology, Dispersion, Wave plates, Sensors, Phase velocity, Structural health monitoring, Wave propagation, Transducers, Nondestructive evaluation, Waveguides

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Proceedings Article | 5 April 2012 Paper

Probabilistic structural risk assessment for fatigue management using structural health monitoring

Michael Shiao, Y-T. Wu, Anindya Ghoshal, James Ayers, Dy Le

Proceedings Volume 8347, 834724 (2012) https://doi.org/10.1117/12.915660

KEYWORDS: Inspection, Structural health monitoring, Failure analysis, Reliability, Monte Carlo methods, Sensors, Algorithm development, Neptunium, Damage detection, Computer simulations

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Proceedings Article | 3 April 2012 Paper

Sensor applications for structural diagnostics and prognostics in aerospace systems

Anindya Ghoshal, James Ayers, Mulugeta Haile, Michael Shiao, Dy Le

Proceedings Volume 8345, 83452E (2012) https://doi.org/10.1117/12.916155

KEYWORDS: Sensors, Composites, Fiber optics sensors, Resistance, Carbon nanotubes, Structured optical fibers, Fiber Bragg gratings, Magnetic sensors, Lithium, Single walled carbon nanotubes

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Proceedings Article | 30 March 2012 Paper

Application of compressed sensing in full-field structural health monitoring

Mulugeta Haile, Anindya Ghoshal

Proceedings Volume 8346, 834618 (2012) https://doi.org/10.1117/12.915429

KEYWORDS: Sensors, Structural health monitoring, Compressed sensing, Composites, Fiber Bragg gratings, Detection theory, Damage detection, Radon, Smart structures, Aerospace engineering

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Proceedings Article | 11 April 2007 Paper

Detection of crack initiation and propagation in ceramic composites using piezoelectric acoustic sensors

Anindya Ghoshal, Heung Soo Kim

Proceedings Volume 6527, 65270A (2007) https://doi.org/10.1117/12.716839

KEYWORDS: Ceramics, Metals, Sensors, Acoustics, Acoustic emission, Signal detection, Signal processing, Composites, Waveguides, Ultrasonics

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Proceedings Article | 30 March 2006 Paper

Technological assessment of sensing systems in propulsion systems in high temperature zones

Anindya Ghoshal, Heung Soo Kim

Proceedings Volume 6179, 617908 (2006) https://doi.org/10.1117/12.660549

KEYWORDS: Sensors, Temperature metrology, Environmental sensing, Temperature sensors, Sensing systems, Control systems, Fiber optics sensors, Thin films, Sensor technology, Platinum

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Proceedings Article | 15 March 2006 Paper

Real-time health monitoring of a thin composite beam using a passive structural neural system

G. Kirikera, V. Shinde, M. Schulz, A. Ghoshal, M. Sundaresan, J. Lee

Proceedings Volume 6177, 61770H (2006) https://doi.org/10.1117/12.658674

KEYWORDS: Sensors, Composites, Neurons, Data acquisition, Analog electronics, Wave propagation, Diagnostics, Structural health monitoring, Signal processing, Prototyping

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Proceedings Article | 19 May 2005 Paper

Transient analysis of delaminated smart composite structures by incorporating Fermi-Dirac distribution function

Heung Soo Kim, Anindya Ghoshal, Jaehwan Kim, Seung-Bok Choi

Proceedings Volume 5757, (2005) https://doi.org/10.1117/12.592163

KEYWORDS: Composites, Sensors, Interfaces, Actuators, Ferroelectric materials, Piezoelectric effects, Analytical research, Matrices, Quantum mechanics, Finite element methods

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Proceedings Article | 16 May 2005 Paper

Testing the analog processor of a structural neural system

G. Kirikera, I. Kang, J. Lee, V. Shinde, B. Westheider, Vesselin Shanov, M. Schulz, M. Sundaresan, A. Ghoshal

Proceedings Volume 5763, (2005) https://doi.org/10.1117/12.600243

KEYWORDS: Sensors, Neurons, Composites, Data acquisition, Analog electronics, Carbon nanotubes, Acoustic emission, Signal processing, MATLAB, Wave propagation

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Proceedings Article | 27 July 2004 Paper

Mimicking the biological neural system using electronic logic circuits

Goutham Kirikera, Vishal Shinde, Inpil Kang, Mark Schulz, Vesselin Shanov, Saurabh Datta, Doug Hurd, Bo Westheider, Mannur Sundaresan, Anindya Ghoshal

Proceedings Volume 5384, (2004) https://doi.org/10.1117/12.540174

KEYWORDS: Sensors, Aluminum, Acoustic emission, Ferroelectric materials, Analog electronics, Data acquisition, Neurons, Electronic circuits, Composites, Structural health monitoring

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Detecting and locating cracks in structural components and joints that have high feature densities is a challenging problem in the field of Structural Health Monitoring. There have been advances in piezoelectric sensors, actuators, wave propagation, MEMS, and optical fiber sensors. However, few sensor-signal processing techniques have been applied to the monitoring of joints and complex structural geometries. This is in part because maintaining and analyzing a large amount of data obtained from a large number of sensors that may be needed to monitor joints for cracks is difficult. Reliable low cost assessment of the health of structures is crucial to maintain operational availability and productivity, reduce maintenance cost, and prevent catastrophic failure of large structures such as wind turbines, aircraft, and civil infrastructure. Recently, there have also been advances in development of simple passive techniques for health monitoring including a technique based on mimicking the biological neural system using electronic logic circuits. This technique aids in reducing the required number of data acquisition channels by a factor of ten or more and is able to predict the location of a crack within a rectangular grid or within an arbitrarily arranged network of continuous sensors or neurons. The current paper shows results obtained by implementing this method on an aluminum plate and joint. The plates were tested using simulated acoustic emissions and also loading via an MTS machine. The testing indicates that the neural system can monitor complex joints and detect acoustic emissions due to propagating cracks. High sensitivity of the neural system is needed, and further sensor development and testing on different types of joints is required. Also indicated is that sensor geometry, sensor location, signal filtering, and logic parameters of the neural system will be specific to the particular type of joint (material, thickness, geometry) being monitored. Also, a novel piezoresistive carbon nanotube nerve crack sensor is presented that can become a neuron and respond to local crack growth.

Proceedings Article | 21 July 2004 Paper

Modeling delamination in composite structures by incorporating the Fermi-Dirac distribution function and hybrid damage indicators

Anindya Ghoshal, Heung Soo Kim, William Prosser, Hsiang Tai, Mark Schulz, Goutham Kirikera

Proceedings Volume 5394, (2004) https://doi.org/10.1117/12.538270

KEYWORDS: Composites, Sensors, Interfaces, Fiber optics sensors, Quantum mechanics, Fermions, Particles, Mathematical modeling, Carbon, Nondestructive evaluation

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Proceedings Article | 5 August 2003 Paper

Development of embedded sensor models in composite laminates for structural health monitoring

Heung Kim, Anindya Ghoshal, Aditi Chattopadhyay, William Prosser

Proceedings Volume 5056, (2003) https://doi.org/10.1117/12.483493

KEYWORDS: Sensors, Composites, Actuators, Acoustic emission, Structural health monitoring, Computer architecture, Interfaces, Scattering, Computer simulations, Matrices

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Proceedings Article | 1 August 2003 Paper

Recent advances in an artificial neural system for structural health monitoring

Goutham Kirikera, Saurabh Datta, Mark Schulz, Anindya Ghoshal, Mannur Sundaresan, Jeff Feaster, Derke Hughes

Proceedings Volume 5046, (2003) https://doi.org/10.1117/12.484118

KEYWORDS: Sensors, Neurons, Wave propagation, Structural health monitoring, Acoustic emission, Ferroelectric materials, Systems modeling, Composites, Glasses, Nerve

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Proceedings Article | 10 July 2002 Paper

Wave propagation sensing for damage detection in plates

Anindya Ghoshal, William Martin, Mark Schulz, Aditi Chattopadhyay, William Prosser

Proceedings Volume 4693, (2002) https://doi.org/10.1117/12.475227

KEYWORDS: Sensors, Wave propagation, Wavelets, Ferroelectric materials, Wave plates, Actuators, Acoustic emission, Acoustics, Composites, Damage detection

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Proceedings Article | 11 June 2002 Paper

Artificial nerve system for structural monitoring

William Martin, Anindya Ghoshal, Mannur Sundaresan, Gary Lebby, Mark Schulz, Promod Pratap

Proceedings Volume 4702, (2002) https://doi.org/10.1117/12.469909

KEYWORDS: Sensors, Ferroelectric materials, Structural health monitoring, Data acquisition, Receptors, Semiconducting wafers, Acoustic emission, Resistance, Capacitance, Composites

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Proceedings Article | 6 August 2001 Paper

Neural system for structural health monitoring

Mannur Sundaresan, Mark Schulz, Anindya Ghoshal, William Martin, Promod Pratap

Proceedings Volume 4328, (2001) https://doi.org/10.1117/12.435516

KEYWORDS: Sensors, Neurons, Signal processing, Data processing, Composites, Axons, Structural health monitoring, Action potentials, Dendrites, Data communications

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Proceedings Article | 14 June 2000 Paper

Active fiber composites for structural health monitoring

Mark Schulz, Mannur Sundaresan, Anindya Ghoshal, Perngjin Pai

Proceedings Volume 3992, (2000) https://doi.org/10.1117/12.388196

KEYWORDS: Sensors, Composites, Wave propagation, Electrodes, Structural health monitoring, Acoustic emission, Ferroelectric materials, Nondestructive evaluation, Acoustics, Dielectrics

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Showing 5 of 17 publications

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