Journal Publications
[1] Keshavarzzadeh V., Fernandez F., Tortorelli D.A. Topology Optimization under Uncertainty via Non-Intrusive Polynomial Chaos Expansion, Computer Methods in Applied Mechanics and Engineering, Vol.318, pp. 120-147, 2017. (Listed among CMAME’s most downloaded articles since March 2017)
[2] Keshavarzzadeh V., Meidani H., Tortorelli D.A. Gradient Based Design Optimization under Uncertainty via Stochastic Expansion Methods, Computer Methods in Applied Mechanics and Engineering, Vol.306, pp. 47-76, 2016. (Listed among CMAME’s most downloaded articles from June-August 2016)
[3] Keshavarzzadeh V., Masri S.F. Identification of Discontinuous Nonlinear Systems via A Multivariate Padé Approach, Journal of Computational Physics, Vol.306, pp. 520-545, 2016.
[4] Ghanem R., Yadegaran I., Thimmisetty C., Keshavarzzadeh V., Masri S., Red-Horse J., Moser R., Oliver T., Spanos P., Aldraihem O. Probabilistic Approach to NASA Langley Research Center Multidisciplinary Uncertainty Quantification Challenge Problem, Journal of Aerospace Information Systems, Vol.12, pp. 170-188, 2015.
[5] Keshavarzzadeh V., Ghanem R.G., Masri S.F., Aldraihem O.J. Convergence Acceleration of Polynomial Chaos Solutions via Sequence Transformation, Computer Methods in Applied Mechanics and Engineering, Vol.271, pp. 167-184, 2014.
[6] Keshavarzzadeh V., Kirby R.M., Narayan A. Numerical Integration in Multiple Dimensions with Designed Quadrature, “Submitted”.
[7] Keshavarzzadeh V., Ghanem R.G., Tortorelli D.A. Shape Optimization under Uncertainty for Rotor Blades of Horizontal Axis Wind Turbines, “Under preparation”.
Conference Publication
[1] Ghanem R., Thimmisetty C., Yadegaran I., Keshavarzzadeh V., Masri S., Red-Horse J., Moser R., Oliver T., Spanos P., Aldraihem O. A Probabilistic Approach to the NASA Langley Multidisciplinary Uncertainty Quantification Challenge Problem, 16th AIAA Non-Deterministic Approaches Conference.
Presentations (First author: Presenter)
[1] Tortorelli, D.A., Keshavarzzadeh V. Topology Optimization Under Uncertainty Via Non-Intrusive Polynomial Chaos Expansion, The 24th International Congress of Theoretical and Applied Mechanics, August 21-26, 2016, Montreal, Canada.
[2] Keshavarzzadeh V., Tortorelli D.A. A Gradient Based Polynomial Chaos Approach for Topology Optimization under Uncertainty, The Engineering Mechanics Institute and the Probabilistic Mechanics and Reliability Conference 2016, May 22-25, 2016, Nashville.
[3] Tortorelli, D.A., Keshavarzzadeh V. Gradient-Based Design Optimization under Uncertainty via Stochastic Expansion Methods, DCAMM Seminar, October 2015, Danish Technical University, Lyngby, Denmark.
[4] Tortorelli, D.A., Keshavarzzadeh V. Gradient-Based Design Optimization under Uncertainty via Stochastic Expansion Methods, October 2015, University of Liege, Liege, Belgium.
[5] Keshavarzzadeh V., Tortorelli D.A. Gradient Based Design Optimization under Uncertainty via Stochastic Expansion Methods, The 13th US National Congress on Computational Mechanics, July 26-30, 2015, San Diego.
[6] Keshavarzzadeh, V., Ghanem R.G. Design Optimization Under Uncertainty for Rotor Blades of Horizontal Axis Wind Turbines, The 12th US National Congress on Computational Mechanics, July 22-25, 2013, Raleigh.
[7] Keshavarzzadeh, V., Ghanem R.G. Design Optimization Under Uncertainty for Rotor Blades of Horizontal Axis Wind Turbines, Uncertainty Quantification Summer School, August 22-24, 2012, USC.
[8] Keshavarzzadeh, V., Ghanem R.G. Shape Optimization under Uncertainty for Rotor Blades of Horizontal Axis Wind Turbines, 2012 Joint Conference of the Engineering Mechanics Institute and 11th Specialty Conference on Probabilistic Mechanics, June 17-20, 2012, Notre Dame.
[9] Keshavarzzadeh, V., Ghanem R.G. Convergence Acceleration via Sequence Transformation for the Solution of Stochastic Galerkin Equations, The 11th US National Congress on Computational Mechanics, July 25-29, 2011, Minneapolis.
[10] Keshavarzzadeh, V., Ghanem R.G. Convergence Acceleration of Polynomial Chaos Solutions, Uncertainty Quantification for Multiphysics and Multiscale Systems, March 7-8, 2011, USC.
Seminars
[1] Gradient Based Design Optimization under Uncertainty via Stochastic Expansion Methods, Lyles School of Civil Engineering, Purdue University, December 2015
[2] Design Optimization Under Uncertainty for Rotor Blades of Horizontal Axis Wind Turbines, Department of Mechanical Science and Engineering, UIUC, March 2015
[3] Aeroelastic Simulation and Optimization for Rotor Blades of Horizontal Axis Wind Turbines under Uncertainty, Department of Civil and Environmental Engineering, USC, September 2012