Mr. Andrew R. Burton Profile

Andrew R. Burton

Graduate Student Research Assistant at Univ of Michigan

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Publications (6)

Proceedings Article | 27 March 2018 Paper

Spatial strain measurements using a strain-sensing grid patterned from nanocomposite films

Peng Sun, Andrew Burton, Jerome Lynch

Proceedings Volume 10598, 1059808 (2018) https://doi.org/10.1117/12.2301022

KEYWORDS: Sensors, Thin films, Nanocomposites, Optical lithography

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In recent years, interest has grown in the development of sensing skins for structural health monitoring (SHM) with electrical impedance tomography (EIT) used to image skin properties. The computational e ort associated with the inverse solver of EIT is very large and sometimes the final reconstructed strain map derived does not correspond to the true state of the system. To reduce the large computational effort associated with EIT reconstruction of large unpatterned thin films, this study fabricates a patterned spatial strain sensor made from single-walled carbon nanotube (SWCNT) nanocomposite films. The thin nanocomposite strain sensing films are fabricated on a flexible polyimide substrate by using a layer-by-layer (LbL) deposition process. Rather than using a plain/unpatterned film as previously proposed in EIT-based approaches, a grid of piezoresistive nanocomposite strip elements are patterned. The 2D grid arrangement of the nanocomposite sensing elements is achieved using optical lithography. Metal electrodes are deployed at the boundary nodes by physical vapor deposition (PVD) and are connected to wires for controlled current injection and electric potential measurements. In order to infer the strain distribution of a structure using the patterned strain sensing skin, there is a need to have a robust inverse solver. Ohm's and Kircho's laws are used to derived the Neumann-to-Dirichlet map of the rectangular resistor network. The Neumann-to-Dirichlet operator is represented by a matrix which is a function of the resistance distribution. The inverse solution obtains the resistance of each grid element by updating the Neumann-to-Dirichlet operator to drive convergence between the boundary potential measurement taken of the film and those predicted by the forward solution. The inverse solver has been validated by simulations and experiments of a square resistor network of 3 by 3 (node by node) and 4 by 4 resistor grids. Preliminary results show that the proposed inverse solver is accurate for 2D strain measurement using the patterned strain sensing grid.

Proceedings Article | 20 April 2016 Paper

Fully integrated patterned carbon nanotube strain sensors on flexible sensing skin substrates for structural health monitoring

Andrew Burton, Masahiro Kurata, Hiromichi Nishino, Jerome Lynch

Proceedings Volume 9803, 98030S (2016) https://doi.org/10.1117/12.2222501

KEYWORDS: Sensors, Sensing systems, Thin films, Polymers, Carbon nanotubes, Skin, Structural health monitoring, Composites, Optical lithography, Damage detection

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Proceedings Article | 27 March 2015 Paper

Quantification of seismic damage in steel beam-column connection using PVDF strain sensors and model-updating technique

Akiko Suzuki, Masahiro Kurata, Xiaohua Li, Kaede Minegishi, Zhenyun Tang, Andrew Burton

Proceedings Volume 9435, 94352E (2015) https://doi.org/10.1117/12.2085300

KEYWORDS: Composites, Sensors, Ferroelectric polymers, Testing and analysis, Analytical research, Environmental sensing, Inspection, Structural health monitoring, Sensing systems, Beam shaping

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Proceedings Article | 10 April 2014 Paper

Free-standing carbon nanotube composite sensing skin for distributed strain sensing in structures

Andrew Burton, Kaede Minegishi, Masahiro Kurata, Jerome Lynch

Proceedings Volume 9061, 906123 (2014) https://doi.org/10.1117/12.2045258

KEYWORDS: Sensors, Skin, Thin films, Optical lithography, Composites, Nanocomposites, Sensing systems, Carbon nanotubes, Chemical elements, Resistance

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The technical challenges of managing the health of critical infrastructure systems necessitate greater structural sensing capabilities. Among these needs is the ability for quantitative, spatial damage detection on critical structural components. Advances in material science have now opened the door for novel and cost-effective spatial sensing solutions specially tailored for damage detection in structures. However, challenges remain before spatial damage detection can be realized. Some of the technical challenges include sensor installations and extensive signal processing requirements. This work addresses these challenges by developing a patterned carbon nanotube composite thin film sensor whose pattern has been optimized for measuring the spatial distribution of strain. The carbon nanotube-polymer nanocomposite sensing material is fabricated on a flexible polyimide substrate using a layer-by-layer deposition process. The thin film sensors are then patterned into sensing elements using optical lithography processes common to microelectromechanical systems (MEMS) technologies. The sensor array is designed as a series of sensing elements with varying width to provide insight on the limitations of such patterning and implications of pattern geometry on sensing signals. Once fabrication is complete, the substrate and attached sensor are epoxy bonded to a poly vinyl composite (PVC) bar that is then tested with a uniaxial, cyclic load pattern and mechanical response is characterized. The fabrication processes are then utilized on a larger-scale to develop and instrument a component-specific sensing skin in order to observe the strain distribution on the web of a steel beam. The instrumented beam is part of a larger steel beam-column connection with a concrete slab in composite action. The beam-column subassembly is laterally loaded and strain trends in the web are observed using the carbon nanotube composite sensing skin. The results are discussed in the context of understanding the properties of the thin film sensor and how it may be advanced toward structural sensing applications.

Proceedings Article | 10 April 2014 Paper

Modeling the electromechanical and strain response of carbon nanotube-based nanocomposites

Bo Mi Lee, Kenneth Loh, Andrew Burton, Bryan Loyola

Proceedings Volume 9061, 906117 (2014) https://doi.org/10.1117/12.2044566

KEYWORDS: Resistance, Nanocomposites, Polymers, Composites, Thin films, Carbon nanotubes, Data modeling, Single walled carbon nanotubes, MATLAB, Computer simulations

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Proceedings Article | 8 March 2014 Paper

Substructure resonance vibration testing for evaluating damage sensitive features: concept and preliminary results

Masahiro Kurata, Kaede Minegishi, Zhenyun Tang, Akiko Suzuki, Andrew Burton

Proceedings Volume 9061, 90611E (2014) https://doi.org/10.1117/12.2045098

KEYWORDS: Sensors, Beam shaping, Ferroelectric polymers, Testing and analysis, Earthquakes, Composites, Optical simulations, Civil engineering, Wave propagation, Structural engineering

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