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Journal Papers

Search by topic (e.g. extreme events, turbulent systems, random vibrations, data driven methods, uncertainty, etc.), by author, or by year.
Supervised Students and Postdoctoral Scholars underlined

 

PaperTopic

53.
H. BabaeeM. Farazmand, G. Haller, T. Sapsis, Reduced-order description of transient instabilities and computation of finite-time Lyapunov exponents (2017). Submitted [pdf]Extreme events, Order Reduction
52.H. -K. JooM. Mohamad, T. Sapsis, Extreme events and their optimal mitigation in nonlinear structural systems excited by stochastic loads: Application to ocean engineering systems (2017). Submitted [pdf]Extreme events, Random vibrations
51.A. Blanchard, T. Sapsis, A. Vakakis, Non-reciprocity in nonlinear elastodynamics (2017). SubmittedNonlinear waves
50.H. -K. JooM. Mohamad, T. Sapsis, Heavy-tailed response of structural systems subjected to extreme forcing events (2017). Submitted [pdf]Extreme events, Random vibrations
49.
J.M. Kluger, A.H. Slocum, and T. Sapsis, Ring-based stiffening flexure applied as a load cell with high resolution and large force range (2017). Submitted [pdf]Nonlinear load cells
48.
M. Farazmand, T. Sapsis, Reduced-order prediction of rogue waves in two dimensional water waves (2017). Submitted [pdf]Extreme events, Nonlinear waves
47.
Z. Y. Wan, T. Sapsis, Reduced-space Gaussian process regression for data-driven probabilistic forecast of chaotic dynamical systemsPhysica D, 345 (2017) 40-55. [pdf]Data driven modeling, Turbulent systems
46.
O. Gendelman, T. Sapsis, Energy exchange and localization in essentially nonlinear oscillatory systems: Canonical formalismASME Journal of Applied Mechanics84 (2017) 011009 (9 pages). [pdf]Nonlinear vibrations
45.
M. Farazmand, T. Sapsis, Dynamical indicators for the prediction of bursting phenomena in high-dimensional systemsPhysical Review E94 (2016) 032212 (15 pages). [pdf] Featured on the Physical Review E: Kaleidoscope.Extreme events, Order reduction, Turbulent systems
44.
M. MohamadW. Cousins, T. Sapsis, A probabilistic decomposition-synthesis method for the quantification of rare events due to internal instabilitiesJournal of Computational Physics322 (2016) 288-308. [pdf]Extreme events, Nonlinear waves
43.
M. Mohamad, T. Sapsis, Probabilistic response and rare events in Mathieu's equation under correlated parametric excitationOcean Engineering Journal120 (2016) 289-297. [pdf]Extreme events, Nonlinear vibrations
42.
H. Babaee, T. Sapsis, A minimization principle for the description of time-dependent modes associated with transient instabilitiesProceedings of the Royal Society A472 (2016) 20150779 (27 pages). [pdf] Featured on the journal's cover page.Extreme events, Order reduction, Turbuelent systems
41.
W. Cousins, T. Sapsis, Reduced order precursors of rare events in unidirectional nonlinear water wavesJournal of Fluid Mechanics, 790 (2016) 368-388. [pdf] Featured as MIT spotlight. Reported by The Economist.Extreme events, Nonlinear waves
40.
H. -K. Joo, T. Sapsis, A moment-equation-copula-closure method for nonlinear vibrational systems subjected to correlated noiseProbabilistic Engineering Mechanics46 (2016) 120-132. [pdf]Uncertainty quantification, Random vibrations
39.
J. Kluger, T. Sapsis, A. Slocum, A high-resolution and large force-range load cell by means of nonlinear cantilever beamsPrecision Engineering43 (2016) 241-256. [pdf]Nonlinear load cells
38.
M. Mohamad, T. Sapsis, Probabilistic description of extreme events in intermittently unstable dynamical systems excited by correlated stochastic processesSIAM/ASA Journal on Uncertainty Quantification3 (2015) 709-736. [pdf]Extreme events, Turbulent systems
37.
W. Cousins, T. Sapsis, The unsteady evolution of localized unidirectional deep water wave groupsPhysical Review E91 (2015) 063204 (5 pages). [pdf]Extreme events, Nonlinear waves
36.
J. Kluger, T. Sapsis, A. Slocum, Robust energy harvesting from walking vibrations by means of nonlinear cantilever beamsJournal of Sound and Vibration341 (2015) 174-194. [pdf]Random vibrations, Energy harvesting
35.
H. -K. Joo, T. Sapsis, Closure schemes for nonlinear bistable systems subjected to correlated Noise: Applications to energy harvesting from water wavesJournal of Ocean and Wind Energy2 (2015) 65-72. [pdf]Random vibrations, Energy harvesting
34.
A. Petsakou, T. Sapsis, J. Blau, Circadian rhythms in Rho1 activity regulate neuronal plasticity and network hierarchyCell162 (2015) 1-13. [pdf]Biology, Geometrical Modeling
33.
A. Majda, D. Qi, T. Sapsis, Blended particle filters for large dimensional chaotic dynamical systemsProceedings of the National Academy of Sciences111 (2014) 7511-7516. [pdf]Uncertainty Quantification, Order reduction, Turbulent systems
32.
W. Cousins, T. Sapsis, Quantification and prediction of extreme events in a one-dimensional nonlinear dispersive wave model, Physica D280-281 (2014) 48-58. [pdf]Extreme events, Nonlinear waves
31.
H.-K. Joo, T. Sapsis, Performance measures for single-degree-of-freedom energy harvesters under stochastic excitationJournal of Sound and Vibration313 (2014) 4695-4710. [pdf]Nonlinear vibrations, Energy harvesting
30.
M. Choi, T. Sapsis, G. E. Karniadakis, On the equivalence of dynamically orthogonal and dynamically bi-orthogonal methods: Theory and numerical simulationsJournal of Computational Physics270 (2014) 1-20. [pdf]Uncertainty Quantification, Order reduction
29.
K. Remick, H.-K. Joo, D.M. McFarland, T. Sapsis, L. Bergman, D.D. Quinn, A. Vakakis, Sustained high-frequency energy harvesting through a strongly nonlinear electromechanical system under single and repeated impulsive excitationsJournal of Sound and Vibration333 (2014) 3214-3235. [pdf]Nonlinear vibrations, Energy harvesting
28.
T. Sapsis, A. Majda, Statistically accurate low order models for uncertainty quantification in turbulent dynamical systemsProceedings of the National Academy of Sciences110 (2013) 13705-13710.[pdf]Uncertainty Quantification, Order reduction, Turbulent systems
27.
K. Remick, A. Vakakis, L. Bergman, D. M. McFarland, D. D. Quinn, T. Sapsis, Sustained high-frequency dynamic instability of a nonlinear system of coupled oscillators forced by single or repeated impulses: Theoretical and experimental results, ASME Journal of Vibration & Acoustics136 (2013) 011013 (15 pages). [pdf]Nonlinear Vibrations, Energy harvesting
26.
T. Sapsis, A. Majda, Blending modified Gaussian closure and non-Gaussian reduced subspace methods for turbulent dynamical systemsJournal of Nonlinear Science23 (2013) 1039 (33 pages). [pdf]Uncertainty Quantification, Order reduction, Turbulent systems
25.
T. Sapsis, A. Majda, Blended reduced subspace algorithms for uncertainty quantification of quadratic systems with a stable mean statePhysica D258 (2013) 61-76. [pdf]Uncertainty Quantification, Order reduction
24.
T. Sapsis, Attractor local dimensionality, nonlinear energy transfers, and finite-time instabilities in stochastic dynamical systems with applications to 2D fluid flowsProceedings of the Royal Society A469 (2013) 20120550 (23 pages). [pdf]Uncertainty Quantification, Order reduction, Chaotic flows
23.
T. Sapsis, A. Majda, A statistically accurate modified quasilinar Gaussian closure for uncertainty quantification in turbulent dynamical systemsPhysica D252 (2013) 34-45. [pdf]Uncertainty Quantification, Order reduction, Turbulent systems
22.
T. Sapsis, and H. A. Dijkstra, Interaction of additive noise and nonlinear dynamics in the double-gyre wind-driven ocean circulation, Journal of Physical Oceanography43 (2013) 366-381. [pdf]Uncertainty Quantification, Order reduction, Chaotic flows
21.
T. Sapsis, M. Ueckermann, P. Lermusiaux, Global analysis of Navier-Stokes and Boussinesq stochastic flows using dynamical orthogonality, Journal of Fluid Mechanics734 (2013) 83-113. [pdf]Uncertainty Quantification, Order reduction, Chaotic flows
20
M. Choi, T. Sapsis, G. E. Karniadakis, A convergence study for SPDEs using combined polynomial chaos and dynamically-orthogonal schemesJournal of Computational Physics245 (2013) 281-301. [pdf]Uncertainty Quantification, Order reduction
19.
M. Ueckermann, P. Lermusiaux, T. Sapsis, Numerical schemes for dynamically orthogonal equations of stochastic fluid and ocean flowsJournal of Computational Physics233 (2013) 272-294. [pdf]Uncertainty Quantification, Order reduction, Chaotic flows
18.
D. Venturi, T. Sapsis, H. Cho, and G. E. Karniadakis, A computable evolution equation for the joint response-excitation probability density function of stochastic dynamical systemsProceedings of the Royal Society A468 (2012) 759 (25 pages). [pdf]Uncertainty Quantification, Correlated excitation
17.
T. Sapsis & P. Lermusiaux, Dynamical criteria for the evolution of the stochastic dimensionality in flows with uncertainty, Physica D241 (2012) 60-76. [pdf]Uncertainty Quantification, Order reduction, Chaotic flows
16.
T. Sapsis, D. Quinn, A. Vakakis, & L. Bergman, Effective stiffening and damping enhancement of structures with strongly nonlinear local attachmentsASME Journal of Vibration & Acoustics134 (2012) 011016 (12 pages). [pdf]Nonlinear vibrations
15.
T. Sapsis, N. Ouellette, J. Gollub, & G. Haller, Neutrally buoyant particle dynamics in fluid flows: Comparison of Experiments with Lagrangian stochastic modelsPhysics of Fluids23 (2011) 093304 (15 pages).[pdf]Finite size particles
14.
G. Haller & T. Sapsis, Lagrangian coherent structures and the smallest finite-time Lyapunov exponentChaos21 (2011) 023115 (7 pages). [pdf]Lagrangian Coherent Structures
13.
T. Sapsis, J. Peng, & G. Haller, Instabilities on prey dynamics in jellyfish feedingBulletin of Mathematical Biology73 (2011) 1841-1856. [pdf]Finite size particles
12.
T. Sapsis, A. Vakakis, & L. Bergman, Effect of stochasticity on targeted energy transfer from a linear medium to a strongly nonlinear attachmentProbabilistic Engineering Mechanics26 (2011) 119-133. [pdf]Nonlinear Vibrations, Random Vibrations
11.
O. Gendelman, T. Sapsis, A. Vakakis, L. Bergman, Enhanced passive targeted energy transfer in strongly nonlinear mechanical oscillatorsJournal of Sound and Vibration330 (2011) 1-8. [pdf]Nonlinear Vibrations
10.
T. Sapsis & A. Vakakis, Subharmonic orbits of a strongly nonlinear oscillator forced by closely spaced harmonicsJournal of Computational and Nonlinear Dynamics6 (2011) 011014 (10 pages).[pdf]Nonlinear Vibrations
9.
T. Sapsis & G. Haller, Clustering criterion for inertial particles in 2D time-periodic and 3D steady flows, Chaos20 (2010) 017515 (11 pages). [pdf]Finite size particles
8.
G. Haller & T. Sapsis, Localized instability and attraction along invariant manifoldsSIAM Journal of Applied Dynamical Systems9 (2010) 611-633. [pdf]Finite size particles
7.
T. Sapsis & P. Lermusiaux, Dynamically orthogonal field equations for continuous stochastic dynamical systemsPhysica D238 (2009) 2347-2360. [pdf]Uncertainty quantification, Order reduction, Chaotic fluid flows
6.
T. Sapsis & G. Haller, Inertial particle dynamics in a hurricane, Journal of the Atmospheric Sciences66 (2009) 2481-2492. [pdf]Finite size particles
5.
T. Sapsis, A. Vakakis, O. Gendelman, L. Bergman, G. Kerschen, & D. Quinn. Efficiency of targeted energy transfers in coupled nonlinear oscillators associated with 1:1 resonance captures: Part II, analytical study, Journal of Sound and Vibration325 (2009) 297-320. [pdf]Nonlinear Vibrations
4.
T. Sapsis & G. Haller, Instabilities in the dynamics of neutrally buoyant particles, Physics of Fluids20(2008) 017102 (7 pages). [pdf]Finite size particles
3.
G. Haller, T. Sapsis, Where do inertial particles go in fluid flows?, Physica D237 (2008) 573-583. [pdf]Finite size particles
2.
T. Sapsis & G. Athanassoulis, New partial differential equations governing the response-excitation joint probability distributions of nonlinear systems under general stochastic excitationProbabilistic Engineering Mechanics23 (2008) 289-306. [pdf]Uncertainty Quantification, Correlated excitation
1.
D. Quinn, O. Gendelman, G. Kerschen, T. Sapsis, L. Bergman, & A. Vakakis. Efficiency of targeted energy transfers in coupled nonlinear oscillators associated with 1:1 resonance aaptures: Part IJournal of Sound and Vibration311 (2008) 1228-1248. [pdf]Nonlinear Vibrations

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Refereed Conference Papers

  1. V. Belenky, D. Glozter, V. Pipiras, T. P. Sapsis, On the tail of nonlinear roll motions, Proceedings of the 15th International Ship Stability Workshop, 13-15 June 2016, Stockholm, Sweden (6-2016).
  2. J. M. Kluger, T. P. Sapsis, A. H. Slocum, A Reduced-Order, Statistical Linearization Approach for Estimating Nonlinear Floating Wind Turbine Response StatisticsProceedings of the Twenty-sixth (2016) International Ocean and Polar Engineering Conference, (6-2016).
  3. M. Mohamad, T. P. Sapsis, Probabilistic response of Mathieu equation excited by correlated parametric excitation, Proceedings of STAB2015 - 12th International Conference on the Stability of Ships and Ocean Vehicles (6-2015).
  4. H. K. Joo, T. P. Sapsis, Closure Schemes for Nonlinear Bi-stable Systems subjected to Correlated Noise - Applications to Energy Harvesting from Water Waves, Proceedings of the Twenty-fifth (2015) International Ocean and Polar Engineering Conference (6-2015).
  5. M. Mohamad, T. P. Sapsis, Analytical approximation of the heavy-tail structure for intermittently unstable complex modesProceedings of the Dynamic Data Driven environmental System Science Conference, Cambridge, Massachusetts (11-2014).
  6. W. Cousins, T. P. Sapsis, Reduced order probabilistic prediction of rogue waves in 1D envelope equationsProceedings of the Dynamic Data Driven environmental System Science Conference, Cambridge, Massachusetts (11-2014).
  7. H. K. Joo, T. P. Sapsis, Performance barriers for single-degree-of-freedom energy harvesters under generic stochastic excitation, Proceedings of the ASME 2014 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, IDETC/CIE 2014, Invited for MSNDC-11-1 Nonlinear Energy Transfers and Harvesting, Buffalo, New York, (8-2014).
  8. W. Cousins, T. P. Sapsis, Quantification and prediction of intermittent events in nonlinear dispersive waves, 8th European Nonlinear Dynamics Conference, Invited for MS-3 Computational Methods, Vienna, Austria, (7-2014).
  9. H. K. Joo, T. P. Sapsis, Performance measures for SDOF energy harvesters under stochastic excitation, 8th European Nonlinear Dynamics Conference, Invited for MS-15 Energy Transfer and Harvesting in Nonlinear Systems, Vienna, Austria, (7-2014).
  10. T. Sapsis, A. Vakakis, and L. Bergman, Targeted energy transfer between dynamical components due to essential nonlinearities, Proceedings of ICOSSAR 2013: 11th International Conference on Structural Safety and Reliability, Columbia University, New York, (6-2013).
  11. T. Sapsis, A. Vakakis, and L. Bergman, Effect of stochasticity on targeted energy transfer from a linear medium to a strongly nonlinear attachment, 7th EUROMECH Conference ENOC, Rome, Italy, (7-2011).
  12. T. Sapsis, and P. Lermusiaux, Dynamically orthogonal field equations for stochastic fluid flows, 7th EUROMECH Conference ENOC, Rome, Italy, (7-2011).
  13. T. Sapsis, and P. Lermusiaux, Dynamically orthogonal field equations for stochastic continuous media, Proceedings of USNCTAM 2010: 16th US National Congress of Theoretical and Applied Mechanics, Penn State University, (6-2010).
  14. T. Sapsis, A. Vakakis, and L. Bergman, Effect of stochasticity on targeted energy transfer from a linear medium to a strongly nonlinear attachment, Proceedings of USNCTAM 2010: 16th US National Congress of Theoretical and Applied Mechanics, Penn State University, (6-2010).
  15. T. Sapsis, S. Koloutsou-Vakakis, M. Rood, B. Kim, and M. Kemme, Fugitive Dust Dispersion Using LIDAR Measurements and a Stochastic Lagrangian Model, in Air & Waste Management Association's Annual Conference and Exhibition, Calgary, AB,  (6-2010).
  16. T. Sapsis and A. Vakakis, Targeted energy transfer in general linear waveguides: A unified integro-differential equation formulation with applications, Euromech Colloquium 503: Nonlinear Normal Modes, Dimension Reduction & Localization, Frascati, Italy, (9-2009).
  17. T. Sapsis and A. Vakakis, Targeted energy transfer in general linear waveguides: A unified integro-differential equation formulation with applications, SICON CF: Nonlinear Dynamics, Stability, Identification and Control, University of Rome ‘La Sapienza’, Italy, (9-2009).
  18. T. Sapsis and G. Haller, Clustering of inertial particles in 3D steady flows, Proceedings of the 2nd Chaotic Modelling and Simulation Conference (Chaos), Chania, Greece, (6-2009).
  19. T. Sapsis and P. Lermusiaux, Reduced order evolution equations for stochastic fluid flows, Proceedings of the 2nd Chaotic Modelling and Simulation Conference (Chaos), Chania, Greece, (6-2009).
  20. T. Sapsis, A.F. Vakakis, O.V. Gendelman, L.A. Bergman, G. Kerschen, D.D. Quinn, Efficiency of Targeted Energy Transfers in Coupled Nonlinear Oscillators Associated with 1:1 Resonance Captures, Proceedings of the Society of Engineering Science, 45th Annual Technical Meeting, Urbana-Champaign, Illinois, (10-2008).
  21. T. Sapsis, D. D. Quinn, O. Gendelman, A. Vakakis, L. Bergman, and G. Kerschen, Applying L. Manevitch’s Complexification – Averaging method to analyze conditions for optimal Targeted Energy Transfer in coupled oscillators with essential stiffness nonlinearity. Proceedings of the International Conference on Nonlinear Phenomena in Polymer Solids and Low-dimensional Systems, Moscow, Russia, (7-2008).
  22. T. Sapsis, D. D. Quinn, O. Gendelman, A. Vakakis, L. Bergman, and G. Kerschen, Efficient Targeted Energy Transfer in nonlinear oscillators. Proceedings of the 6th EUROMECH Nonlinear Dynamics Conference, Saint Petersburg, Russia,  (7-2008).
  23. T. Sapsis, and G. Haller, Inertial particles motion in geophysical fluid flows. Proceedings of the 6th EUROMECH Nonlinear Dynamics Conference, Saint Petersburg, Russia, (7-2008).
  24. T. Sapsis, and G. Athanassoulis, New partial differential equations governing the joint response-excitation, probability distributions of nonlinear systems, under general stochastic excitation. Proceedings of the 5th International Conference on Computational Stochastic Mechanics (CSM-5), Rhodes, Greece, (6-2006).
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Supervised Theses

PhD Theses

  1. Han Kyul Joo, Probabilistic optimization of vibrational systems under stochastic excitation containing extreme forcing eventsMIT, Dept. of Mechanical Engineering, March 2017[pdf]

MSc Theses

  1. Zhong Yi Wan, Reduced-space Gaussian process regression forecast for nonlinear dynamical systemsMIT, Center for Computational Engineering, May 2016. [pdf]
  2. Mustafa Mohamad, Probabilistic quantification of intermittently unstable dynamical systemsMIT, Dept. of Mechanical Engineering, September 2015[pdf]
  3. Saviz Mowlavi, Dynamically orthogonal reduced-order modeling of stochastic nonlinear water wavesMIT-EPFL, Dept. of Mechanical Engineering, February 2015[pdf]
  4. Han Kyul Joo, Single-degree-of-freedom energy harvesters with stochastic excitationMIT, Dept. of Mechanical Engineering, May 2014[pdf]
  5. Jocelyn Kluger, Nonlinear beam-based vibration energy harvesters and load cellsMIT, Dept. of Mechanical Engineering, January 2014[pdf]