Journals
[J1] Thapa, M., Mulani, S. B., and Walters, R. W., “A New Non-Intrusive Polynomial Chaos Using Higher Order Sensitivities,” Computer Methods in Applied Mechanics and Engineering, Vol. 328, 2018, pp. 594-611.
[J2] Bodiuzzaman, J., Thapa, M., Mulani, S. B., and Roy, S., “Repeatable self-healing of thermosetting fiber reinforced polymer composites with thermoplastic healant,” Smart Materials and Structures, Vol. 28, No. 2, 2018, pp. 025037.
[J3] Thapa, M., Mulani, S. B., and Walters, R. W., “Stochastic Multi-Scale Modeling of Carbon Fiber Reinforced Composite Laminates with Polynomial Chaos Expansion,” Composite Structures, Vol. 213, 2019, pp. 82-97.
[J4] Thapa, M., Mulani, S. B., and Walters, R. W., “Adaptive Weighted Least-Squares Polynomial Chaos Expansion with Basis Adaptivity and Sequential Adaptive Sampling,” Computer Methods in Applied Mechanics and Engineering, 2019.
[J5] Thapa, M., Paudel, A., Mulani, S. B., and Walters, R. W., “Uncertainty Quantification and Global Sensitivity Analysis for Progressive Failure of Fiber Reinforced Composites,” Structural and Multidisciplinary Optimization, 1-21, 2020.
[J6] Thapa, M., and Missoum, S., “Uncertainty Quantification and Global Sensitivity Analysis of Composite Wind Turbine Blades,” Reliability Engineering and Sytem Safety, 222, 108354, 2022.
[J7] Thapa, M., and Missoum, S., “Stochastic Optimization of a Horizontal-Axis Composite Wind Turbine Blade,” Structural and Multidisciplinary Optimization, 65(2), 1-18, 2022.
[J8] Paudel, A., Gupta, S., Thapa, M., Mulani, S. B., and Walters, R. W., "Higher-Order Taylor Series Expansion with Efficient Sensitivity Estimation for Uncertainty Analysis," Aerospace Science and Technology, 107574, 2022.
[J9] Gupta, S., Paudel, A., Thapa, M., Mulani, S. B., and Walters, R. W., “Optimal Sampling based Neural Networks for Uncertainty Quantification and Stochastic Optimization,” 2023, Aerospace Science and Technology, 133, 108109.
[J10] Thapa, M., Mulani, S. B., Paudel, A., Gupta, S., and Walters, R. W., “Classifier-based adaptive polynomial chaos expansion for high-dimensional uncertainty quantification,” 2024, Computer Methods in Applied Mechanics and Engineering, 422, 116829.
[J11] Santos, L., Thapa, M., Lang, A., Kernel based approach for automatic vortex detection in Turbulent flows. (Manuscript in Submission)
[J12] Gupta, S., Thapa, M., Paudel, A., Mulani, S. B., and Walters, R. W., “Robust Design Optimization of Variable Stiffness Composites with Manufacturing Constraints,” 2024, Thin-Walled Structures. (Manuscript under Revision)
[J13] Thapa, M., Zhao, W., and Mulani, S. B., “Stochastic Thermal Buckling of Variable Angle Tow Composites,” 2024, Journal of Mechanical Design. (Manuscript under Preparation)
[J14] Long, T., Thapa, M., Larson, J., and Mulani, S. B., “Design and Development of Small Unmanned Platform for Experimental Research,” 2024, Journal of Mechanical Design. (Manuscript in Submission)
[J2] Bodiuzzaman, J., Thapa, M., Mulani, S. B., and Roy, S., “Repeatable self-healing of thermosetting fiber reinforced polymer composites with thermoplastic healant,” Smart Materials and Structures, Vol. 28, No. 2, 2018, pp. 025037.
[J3] Thapa, M., Mulani, S. B., and Walters, R. W., “Stochastic Multi-Scale Modeling of Carbon Fiber Reinforced Composite Laminates with Polynomial Chaos Expansion,” Composite Structures, Vol. 213, 2019, pp. 82-97.
[J4] Thapa, M., Mulani, S. B., and Walters, R. W., “Adaptive Weighted Least-Squares Polynomial Chaos Expansion with Basis Adaptivity and Sequential Adaptive Sampling,” Computer Methods in Applied Mechanics and Engineering, 2019.
[J5] Thapa, M., Paudel, A., Mulani, S. B., and Walters, R. W., “Uncertainty Quantification and Global Sensitivity Analysis for Progressive Failure of Fiber Reinforced Composites,” Structural and Multidisciplinary Optimization, 1-21, 2020.
[J6] Thapa, M., and Missoum, S., “Uncertainty Quantification and Global Sensitivity Analysis of Composite Wind Turbine Blades,” Reliability Engineering and Sytem Safety, 222, 108354, 2022.
[J7] Thapa, M., and Missoum, S., “Stochastic Optimization of a Horizontal-Axis Composite Wind Turbine Blade,” Structural and Multidisciplinary Optimization, 65(2), 1-18, 2022.
[J8] Paudel, A., Gupta, S., Thapa, M., Mulani, S. B., and Walters, R. W., "Higher-Order Taylor Series Expansion with Efficient Sensitivity Estimation for Uncertainty Analysis," Aerospace Science and Technology, 107574, 2022.
[J9] Gupta, S., Paudel, A., Thapa, M., Mulani, S. B., and Walters, R. W., “Optimal Sampling based Neural Networks for Uncertainty Quantification and Stochastic Optimization,” 2023, Aerospace Science and Technology, 133, 108109.
[J10] Thapa, M., Mulani, S. B., Paudel, A., Gupta, S., and Walters, R. W., “Classifier-based adaptive polynomial chaos expansion for high-dimensional uncertainty quantification,” 2024, Computer Methods in Applied Mechanics and Engineering, 422, 116829.
[J11] Santos, L., Thapa, M., Lang, A., Kernel based approach for automatic vortex detection in Turbulent flows. (Manuscript in Submission)
[J12] Gupta, S., Thapa, M., Paudel, A., Mulani, S. B., and Walters, R. W., “Robust Design Optimization of Variable Stiffness Composites with Manufacturing Constraints,” 2024, Thin-Walled Structures. (Manuscript under Revision)
[J13] Thapa, M., Zhao, W., and Mulani, S. B., “Stochastic Thermal Buckling of Variable Angle Tow Composites,” 2024, Journal of Mechanical Design. (Manuscript under Preparation)
[J14] Long, T., Thapa, M., Larson, J., and Mulani, S. B., “Design and Development of Small Unmanned Platform for Experimental Research,” 2024, Journal of Mechanical Design. (Manuscript in Submission)
Book Chapters
[B1] Thapa, M., Bodiuzzaman, J., Mulani, S. B., and Roy, S., “Intelligent Self-Healing Composite Structure Using Predictive Self-Healing and Dynamic Data-Driven Application System,” In: Handbook of Dynamic Data-Driven Applications Systems, Springer, 2018.
[B2] Thapa, M., Mulani, S. B., and Walters, R. W., “Polynomial Chaos for Uncertainty Quantification: Past, Present, and Future,” In: Uncertainty Quantification: Advances in Research and Applications, Nova Publishers, 2019.
[B3] Thapa, M., Bodiuzzaman, J., Mulani, S. B., and Roy, S., “Intelligent Self-Healing Composite Structure Using Predictive Self-Healing and Dynamic Data-Driven Application System,” In: Handbook of Dynamic Data-Driven Applications Systems, Springer, 2021 (Second Edition).
[B2] Thapa, M., Mulani, S. B., and Walters, R. W., “Polynomial Chaos for Uncertainty Quantification: Past, Present, and Future,” In: Uncertainty Quantification: Advances in Research and Applications, Nova Publishers, 2019.
[B3] Thapa, M., Bodiuzzaman, J., Mulani, S. B., and Roy, S., “Intelligent Self-Healing Composite Structure Using Predictive Self-Healing and Dynamic Data-Driven Application System,” In: Handbook of Dynamic Data-Driven Applications Systems, Springer, 2021 (Second Edition).
Conference Papers/Presentations
[C1] Thapa, M., Mulani, S. B., and Walters, R. W., “Polynomial Chaos Decomposition with Differentiation Operation.” In: 17th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Washington, D.C., no. AIAA-Paper 2006-891, 2016.
[C2] Thapa, M., Mulani, S. B., and Walters, R. W., “Multi-Scale Uncertainty Quantification of Fiber Reinforced Composites Using Polynomial Chaos Decomposition,” In: American Society for Composites 31st Technical Conference and ASTM Committee D30 Meeting, Williamsburg, Virginia, D.C, no. ASC Paper 2203, 2016.
[C3] Thapa, M., Mulani, S. B., and Walters, R. W., “Variance-Based Adaptive Sparse Polynomial Chaos with Adaptive Sampling,” In: 2018 AIAA Non-Deterministic Approaches Conference, AIAA Science and Technology Forum and Exposition 2018, Kissimmee, Florida, January 8-12, 2018.
[C4] Fister, M. W., Thapa, M., and Sameer B. Mulani, S. B., “Adaptive Higher-Order Integration Method and its Applications in Uncertainty Quantification,” In: 2018 AIAA Non-Deterministic Approaches Conference, AIAA Science and Technology Forum and Exposition 2018, Kissimmee, Florida, January 8-12, 2018.
[C5] Bodiuzzaman, J., Thapa, M., Mulani, S. B., and Roy, S., “Repeatability of Non-Autonomous Self-Healing with Thermoplastic Healing Agent in Fiber Reinforced Thermoset Composite,” In: ASC 33rd Annual Technical Conference, Seattle, Washington, September 24-26, 2018.
[C6] Thapa, M., Paudel, A., Mulani, S. B., and Walters, R. W., “Efficient Adaptive Sparse Polynomial Chaos Expansion with l1-minimization and Sequential Sampling,” In: AIAA Science and Technology Forum and Exposition 2019, AIAA-2019-1226, 2019.
[C7] Bodiuzzaman, J., Thapa, M., Mulani, S. B., and Roy, S., “Experimental Characterization of Shape Memory Polymer Enhanced Thermoplastic Self-Healing Carbon/Epoxy Composites,” In: AIAA Science and Technology Forum and Exposition 2019, Control ID 3030199, 2019.
[C8] Thapa, M., Paudel, A., Mulani, S. B., and Walters, R. W., “Stochastic Progressive Failure Analysis of Fiber-Reinforced Composite Laminate,” In: 2019 AIAA Aviation and Aeronautics Forum and Exposition, Dallas, Texas, June 17-21, 2019.
[C9] Thapa, M., Bodiuzzaman, J., Vishe, N., Mulani, S. B., and Roy, S., “A Comparative Numerical and Experimental Study of Mode-I Interlaminar Fracture of Self-Healing Composites using Cohesive Zone Modeling,” In: ASC 34th Annual Technical Conference, Atlanta, Georgia, 2019.
[C10] Thapa, M., Paudel, A., Mulani, S. B., and Walters, R. W., “Global Sensitivity Analysis for Stochastic Responses of Fiber Reinforced Composites with Polynomial Chaos,” In: 2020 AIAA SciTech Forum, Orlando Florida, January 6-10, 2020.
[C11] Vishe, N., Bodiuzzaman, J., Thapa, M., Mulani, S. B., and Roy, S., “Healing of Mode-I Fatigue Crack in Fiber Reinforced Composites using Thermoplastic Healants,” In: 2020 AIAA SciTech Forum, Orlando Florida, January 6-10, 2020.
[C12] Paudel, A., Thapa, M., Gupta, S., Mulani, S. B., and Walters, R. W., "Higher-Order Taylor Series Expansion with Efficient Sensitivity Estimation for Uncertainty Analysis," AIAA AVIATION 2020 FORUM, 3164, June 2020.
[C13] Thapa, M., and Missoum, S., “Stochastic Optimization of a Horizontal-Axis Composite Wind Turbine Blade”, ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Virtual Conference: American Society of Mechanical Engineers, September 2020.
[C14] Thapa, M., and Missoum, S., “High-Dimensional Uncertainty Quantification and Global Sensitivity Analysis of a Composite Wind Turbine Blade”, ASC 35th Annual Technical Conference, Virtual Conference: American Society of Composites, November 2020.
[C15] Thapa, M., and Missoum, S., “Design of Composite Wind Turbine Blades under Uncertainties”, 2nd annual Arizona Postdoctoral Research Conference, September 2020.
[C16] Gupta, S., Paudel, A., Thapa, M., Mulani, S. B., and Walters, R. W., " Efficient Decoupled Approach for Robust Design Optimization," AIAA AVIATION 2021 FORUM, 3044, August 2021.
[C17] Thapa, M., Paudel, A., Gupta, S., Awasthi, A., Mulani, S.B., O’Neill, C., Taylor, D., Gogineni, S.P., Chung, C., and Lee, J., “Aero-Structural Design and Analysis of Pylons for a 16-Element Airborne Radar Antenna Array, ” 26th International Symposium on Polar Sciences (ISPS2021), September 2021.
[C18] Paudel, A., Gupta, S., Thapa, M., Mulani, S. B., and Walters, R. W., “Regularized Solution to Underdetermined System in Polynomial Chaos for Uncertainty Quantification,” In: 4th National Conference on Multidisciplinary, Design, Analysis, and Optimization, Virtual Conference, October 2021.
[C20] Gupta, S., Paudel, A., Thapa, M., Mulani, S. B., and Walters, R. W., “Adaptive Sampling-Based Artificial Neural Network for Surrogate Modeling,” In: 2021 AIAA SciTech Forum, San-Diego, California, 2022.
[C21] Thapa, M., Paudel, A., Gupta, S., Mulani, S. B., and Walters, R. W., “Adaptive Sparse Polynomial Chaos based on a Classifier and Sequential Sampling,” In: 2023 AIAA SciTech Forum, National Harbor, MD. (Accepted and To be presented)
[C2] Thapa, M., Mulani, S. B., and Walters, R. W., “Multi-Scale Uncertainty Quantification of Fiber Reinforced Composites Using Polynomial Chaos Decomposition,” In: American Society for Composites 31st Technical Conference and ASTM Committee D30 Meeting, Williamsburg, Virginia, D.C, no. ASC Paper 2203, 2016.
[C3] Thapa, M., Mulani, S. B., and Walters, R. W., “Variance-Based Adaptive Sparse Polynomial Chaos with Adaptive Sampling,” In: 2018 AIAA Non-Deterministic Approaches Conference, AIAA Science and Technology Forum and Exposition 2018, Kissimmee, Florida, January 8-12, 2018.
[C4] Fister, M. W., Thapa, M., and Sameer B. Mulani, S. B., “Adaptive Higher-Order Integration Method and its Applications in Uncertainty Quantification,” In: 2018 AIAA Non-Deterministic Approaches Conference, AIAA Science and Technology Forum and Exposition 2018, Kissimmee, Florida, January 8-12, 2018.
[C5] Bodiuzzaman, J., Thapa, M., Mulani, S. B., and Roy, S., “Repeatability of Non-Autonomous Self-Healing with Thermoplastic Healing Agent in Fiber Reinforced Thermoset Composite,” In: ASC 33rd Annual Technical Conference, Seattle, Washington, September 24-26, 2018.
[C6] Thapa, M., Paudel, A., Mulani, S. B., and Walters, R. W., “Efficient Adaptive Sparse Polynomial Chaos Expansion with l1-minimization and Sequential Sampling,” In: AIAA Science and Technology Forum and Exposition 2019, AIAA-2019-1226, 2019.
[C7] Bodiuzzaman, J., Thapa, M., Mulani, S. B., and Roy, S., “Experimental Characterization of Shape Memory Polymer Enhanced Thermoplastic Self-Healing Carbon/Epoxy Composites,” In: AIAA Science and Technology Forum and Exposition 2019, Control ID 3030199, 2019.
[C8] Thapa, M., Paudel, A., Mulani, S. B., and Walters, R. W., “Stochastic Progressive Failure Analysis of Fiber-Reinforced Composite Laminate,” In: 2019 AIAA Aviation and Aeronautics Forum and Exposition, Dallas, Texas, June 17-21, 2019.
[C9] Thapa, M., Bodiuzzaman, J., Vishe, N., Mulani, S. B., and Roy, S., “A Comparative Numerical and Experimental Study of Mode-I Interlaminar Fracture of Self-Healing Composites using Cohesive Zone Modeling,” In: ASC 34th Annual Technical Conference, Atlanta, Georgia, 2019.
[C10] Thapa, M., Paudel, A., Mulani, S. B., and Walters, R. W., “Global Sensitivity Analysis for Stochastic Responses of Fiber Reinforced Composites with Polynomial Chaos,” In: 2020 AIAA SciTech Forum, Orlando Florida, January 6-10, 2020.
[C11] Vishe, N., Bodiuzzaman, J., Thapa, M., Mulani, S. B., and Roy, S., “Healing of Mode-I Fatigue Crack in Fiber Reinforced Composites using Thermoplastic Healants,” In: 2020 AIAA SciTech Forum, Orlando Florida, January 6-10, 2020.
[C12] Paudel, A., Thapa, M., Gupta, S., Mulani, S. B., and Walters, R. W., "Higher-Order Taylor Series Expansion with Efficient Sensitivity Estimation for Uncertainty Analysis," AIAA AVIATION 2020 FORUM, 3164, June 2020.
[C13] Thapa, M., and Missoum, S., “Stochastic Optimization of a Horizontal-Axis Composite Wind Turbine Blade”, ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Virtual Conference: American Society of Mechanical Engineers, September 2020.
[C14] Thapa, M., and Missoum, S., “High-Dimensional Uncertainty Quantification and Global Sensitivity Analysis of a Composite Wind Turbine Blade”, ASC 35th Annual Technical Conference, Virtual Conference: American Society of Composites, November 2020.
[C15] Thapa, M., and Missoum, S., “Design of Composite Wind Turbine Blades under Uncertainties”, 2nd annual Arizona Postdoctoral Research Conference, September 2020.
[C16] Gupta, S., Paudel, A., Thapa, M., Mulani, S. B., and Walters, R. W., " Efficient Decoupled Approach for Robust Design Optimization," AIAA AVIATION 2021 FORUM, 3044, August 2021.
[C17] Thapa, M., Paudel, A., Gupta, S., Awasthi, A., Mulani, S.B., O’Neill, C., Taylor, D., Gogineni, S.P., Chung, C., and Lee, J., “Aero-Structural Design and Analysis of Pylons for a 16-Element Airborne Radar Antenna Array, ” 26th International Symposium on Polar Sciences (ISPS2021), September 2021.
[C18] Paudel, A., Gupta, S., Thapa, M., Mulani, S. B., and Walters, R. W., “Regularized Solution to Underdetermined System in Polynomial Chaos for Uncertainty Quantification,” In: 4th National Conference on Multidisciplinary, Design, Analysis, and Optimization, Virtual Conference, October 2021.
[C20] Gupta, S., Paudel, A., Thapa, M., Mulani, S. B., and Walters, R. W., “Adaptive Sampling-Based Artificial Neural Network for Surrogate Modeling,” In: 2021 AIAA SciTech Forum, San-Diego, California, 2022.
[C21] Thapa, M., Paudel, A., Gupta, S., Mulani, S. B., and Walters, R. W., “Adaptive Sparse Polynomial Chaos based on a Classifier and Sequential Sampling,” In: 2023 AIAA SciTech Forum, National Harbor, MD. (Accepted and To be presented)
Technical Reports
[T1] Aero-structural analysis of a Twin-Otter aircraft, Korean Research Polar Institute
Codes/Packages
Several in-house codes developed for various projects mentioned in the website and in the publications are available upon a suitable request for research purposes.