Recent Papers

Boullé, N., Earls, C.J., Townsend, A. (2021) “Data-driven discovery of physical laws with human-understandable deep learning,” arXiv:2105.00266

Lin, Y.C., Earls, C.J. (2021) “Validation Experiment of a Single-View Image-Sequence Algorithm to Identify Scale and Sea-State Characteristics,” in IEEE Journal of Oceanic Engineering, doi: 10.1109/JOE.2020.3045645.

Bonneville, C., Wu, W., Earls, C.J. (2021) “A principled approach to design using high fidelity fluid-structure interaction simulations,” Finite Elements in Analysis and Design, Vol. 194, Elsevier, 103562.

Bonneville, C., Jenquin, M., Londono, J., Kelly, A., Cipolla, J., Earls, C.J. (2021) “Gaussian processes for shock test emulation,” Reliability Engineering and System Safety, Vol. 212, Elsevier, 107624.

Chavis III, J.T., Cochran, A. L., Earls, C. J. (2021) “CU-MSDSp: A flexible parallelized reversible jump Markov chain Monte Carlo method,” SoftwareX, Vol. 14, Elsevier, 100664.

Loeb, A., Earls, C.J. (2021) “Bayesian inference approaches for the detection and characterization of hidden pitting corrosion,” Mechanical Systems and Signal Processing, Vol. 154, Elsevier, 107545.

Sit, H., Earls, C.J. (2020) “Gaussian process regression for estimating EM ducting within the Marine Atmospheric Boundary Layer,” Radio Science, American Geophysical Union, Vol. 55, Issue 6, pp. 1-14.

Wu, W., Kosianka, J., Reed, H., Stull, C., Earls, C. (2020) “CU-BENs: A dedicated structural modeling finite element library,” SoftwareX, Vol. 11, Elsevier, pp. 1-5.

Sit, H., Earls, C.J. (2019) “Characterizing evaporation ducts within the marine atmospheric boundary layer using artificial neural networks,” Radio Science, American Geophysical Union, Vol. 54, Issue 12, pp. 1181-1191.

Gilles, M.A., Earls, C.J., Bindel, D. (2019) “A subspace pursuit method to infer refractivity in the Marine Atmospheric Boundary Layer,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 8, pp. 5606-5617.

Loeb, A., Earls, C.J. (2019) “Analysis of heterogeneous computing approaches to simulating heat transfer in heterogenous materials,” Journal of Parallel and Distributed Computing, Vol. 133, Elsevier, pp. 1-17.

Lin, Y.C., Earls, C.J., Park, J.T., Smith, T.C. (2019) “Muti-parameter stochastic inversion for first and second moment mass properties of a model-scale ship with topside ice accumulation,” Applied Ocean Research, Vol. 82, Elsevier, pp. 143-157.

Lin, Y.C., Earls, C.J., Park, J.T., Smith, T.C. (2017) “Stochastic inversion for the roll gyradius second moment mass property in ships at full-scale and model-scale,” Applied Ocean Research, Vol. 63, Elsevier, pp. 24-35.

Fountoulakis, V., Earls, C.J. (2016) “Duct heights inferred from radar sea clutter using proper orthogonal bases,” Radio Science, American Geophysical Union, Vol. 51, Issue 10, pp. 1614-1626.

Loeb, A., Earls, C.J. (2016) “Optimized inspection design for the thermographic characterization of sub-pixel sized through cracks,” Nondestructive Testing and Evaluation International, Vol. 82, Elsevier, pp. 44-55

Fountoulakis, V., Earls, C.J. (2016) “Inverting for maritime environments using proper orthogonal bases from sparsely sampled electro-magnetic propagation data,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, No. 12, pp. 7166-7176.

Reed, H.M., Earls, C.J. (2015) “Stochastic identification of the structural damage condition of a ship bow section under model uncertainty,” Ocean Engineering, Vol. 103, Elsevier, pp. 123-143.

Reed, H.M., Earls, C.J., Nichols, J.M. (2014) “Stochastic identification of imperfections in a submerged shell structure,” Computer Methods in Applied Mechanics and Engineering, Vol. 272, Elsevier, pp. 58-82.

Sternfels, R., Earls, C.J. (2013) “Reduced order model tracking and interpolation to solve PDE-based inverse problems,” Inverse Problems, Vol. 29, IOP Science, 075014.

Earls, C.J. (2013) “Bayesian inference of hidden corrosion in steel bridge connections: non-contact and sparse contact approaches,” Mechanical Systems and Signal Processing, Vol. 41, No. 1-2, Elsevier, pp. 420-432.

Reed, H.M., Nichols, J.M., Earls, C.J. (2013) “A modified differential evolution algorithm for damage identification in submerged shell structures,” Mechanical Systems and Signal Processing, Vol. 39, Elsevier, pp. 396-408.

Earls, C.J. (2012) “Stochastic inverse thermographic characterization of sub-pixel sized through cracks,” Mechanical Systems and Signal Processing, Vol. 30, Elsevier, pp. 146-156.

Jeong, W.Y., Earls, C.J., Philpot, W.D., Zehnder, A.T. (2012) “Inverse thermographic characterization of optically unresolvable through cracks in thin metal plates,” Mechanical Systems and Signal Processing, Vol. 27, Elsevier, pp. 634-650.

Guzas, E.L., Earls, C.J. (2011) “Simulating blast effects on steel beam-column members: Methods,” Computers and Structures, Vol. 89, No. 23-24, Elsevier, pp. 2133-2148.

Guzas, E.L., Earls, C.J. (2011) “Simulating blast effects on steel beam-column members: Applications,” Computers and Structures, Vol. 89, No. 23-24, Elsevier, pp. 2149-2161.

Stull, C.J., Nichols, J.M, Earls, C.J.  (2011) “Stochastic inverse identification of geometric imperfections in shell structures,” Computer Methods in Applied Mechanics and Engineering, Vol. 200, Issue 25-28, Elsevier, pp. 2256-2267.

Stull, C.J. Earls, C.J., Koutsourelakis, P.S. (2011) “Model-based structural health monitoring of naval ships,” Computer Methods in Applied Mechanics and Engineering, Vol. 200, Issue 9-12, Elsevier, pp. 1137-1149.

Guzas, E.L., Earls, C.J. (2010) “Air blast load generation for simulating structural response,” Steel and Composite Structures, Vol. 10, No. 5, Techno-Press, Daejeon, Korea, pp. 429-455.

Stull, C.J., Earls, C.J. (2009) “A rapid assessment methodology for bridges damaged by truck strikes,” Steel & Composite Structures, Vol. 9, No. 3, Techno-Press, Daejeon, Korea, pp. 223-237.

Aquino, W., Brigham, J.C., Earls, C.J., Sukumar, N. (2009) “Generalized finite element formulation using proper orthogonal decomposition,” International Journal for Numerical Methods in Engineering, Vol. 79, Wiley, pp. 887-906.

Stull, C.J., Earls, C.J., Aquino, W. (2008) “A posteriori initial imperfection identification in shell buckling problems,” Computer Methods in Applied Mechanics and Engineering, Vol. 198, Issue 2, Elsevier, pp. 260-268.