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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

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publications

Impact-induced acceleration by obstacles

Published in New Journal of Physics, 2018

This paper is about a phenomenon in which a falling chain impacting a surface accelerates faster than gravitational acceleration. The paper gives experimental results confirming the effect and a mathematical model which captures the behavior.

Recommended citation: Recommended citation: Corbin, N. A., Hanna, J. A., Royston, W. R., Singh, H., Warner, R. B., “Impact-induced acceleration by obstacles”, New Journal of Physics, vol. 20, no. 5, p. 053031, May 2018, issn: 1367-2630. https://doi.org/10.1088/1367-2630/aac151

Overcurvature induced multistability of linked conical frusta: How a ‘bendy straw’ holds its shape

Published in Soft Matter, 2018

This paper is about the stability of linked conical frusta, i.e. bendy straws. We investigate the effects of material, geometry, and prestress on the stability of such structures.

Recommended citation: Bende, N. P., Yu, T., Corbin, N. A., Dias, M. A., Santangelo, C. D., Hanna, J. A., Hayward, R. C., “Overcurvature induced multistability of linked conical frusta: How a ‘bendy straw’ holds its shape”, Soft Matter, vol. 14, no. 42, pp. 8636–8642, 2018, issn: 1744-683X. https://doi.org/10.1039/C8SM01355A

Reference-free Longitudinal Rail Stress and Neutral Temperature Measurement Utilizing Multidirectional Elastic Waves

Published in Federal Railroad Administration, 2021

This Federal Railroad Administration technical report documents the development and testing of a rail neutral temperature measurement technique based on low frequency flexural wave measurements. This report includes much of my masters work.

Recommended citation: Corbin, N., Albakri, M., Tarazaga, P., “Reference-free longitudinal rail stress and neutral temperature measurement utilizing multidirectional elastic waves” Federal Railroad Administration, Washington, D.C., Tech. Rep., submitted 2021, available upon request. https://cnick1.github.io/

talks

A mass-normalized projection approach to component testing

Published:

This presentation detailed an alternative, more efficient method for computing projection matrices for component testing. The improved approach uses a Cholesky decomposition, or equivalently mass-normalizes the eigenvectors, to simplify the computation of a matrix inverse involved in computing the projection matrices.

teaching