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Relevant bibliographies by topics / Nonlinear Structural Dynamic

Academic literature on the topic 'Nonlinear Structural Dynamic'

Author: Grafiati

Published: 14 March 2023

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Journal articles on the topic "Nonlinear Structural Dynamic"

1

Dou, Suguang, B. Scott Strachan, Steven W. Shaw, and Jakob S. Jensen. "Structural optimization for nonlinear dynamic response." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 373, no. 2051 (September 28, 2015): 20140408. http://dx.doi.org/10.1098/rsta.2014.0408.

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Much is known about the nonlinear resonant response of mechanical systems, but methods for the systematic design of structures that optimize aspects of these responses have received little attention. Progress in this area is particularly important in the area of micro-systems, where nonlinear resonant behaviour is being used for a variety of applications in sensing and signal conditioning. In this work, we describe a computational method that provides a systematic means for manipulating and optimizing features of nonlinear resonant responses of mechanical structures that are described by a single vibrating mode, or by a pair of internally resonant modes. The approach combines techniques from nonlinear dynamics, computational mechanics and optimization, and it allows one to relate the geometric and material properties of structural elements to terms in the normal form for a given resonance condition, thereby providing a means for tailoring its nonlinear response. The method is applied to the fundamental nonlinear resonance of a clamped–clamped beam and to the coupled mode response of a frame structure, and the results show that one can modify essential normal form coefficients by an order of magnitude by relatively simple changes in the shape of these elements. We expect the proposed approach, and its extensions, to be useful for the design of systems used for fundamental studies of nonlinear behaviour as well as for the development of commercial devices that exploit nonlinear behaviour.

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Karabutov, Nikolay. "Structural Identification of Nonlinear Dynamic Systems." International Journal of Intelligent Systems and Applications 7, no. 9 (September 8, 2015): 1–11. http://dx.doi.org/10.5815/ijisa.2015.09.01.

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Karabutov, N. N. "Structural Identiﬁability of Nonlinear Dynamic Systems." Mekhatronika, Avtomatizatsiya, Upravlenie 20, no. 4 (April 10, 2019): 195–205. http://dx.doi.org/10.17587/mau.20.195-205.

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Approach to the analysis of nonlinear dynamic systems structural identifiability (SI) under uncertainty is proposed. This approach has difference from methods applied to SI estimation of dynamic systems in the parametrical space. Structural identifiability is interpreted as of the structural identification possibility a system nonlinear part. We show that the input should synchronize the system for the SI problem solution. The S-synchronizability concept of a system is introduced. An unsynchronized input gives an insignificant framework which does not guarantee the structural identification problem solution. It results in structural not identifiability of a system. The subset of the synchronizing inputs on which systems are indiscernible is selected. The structural identifiability estimation method is based on the analysis of framework special class. The structural identifiability estimation method is proposed for systems with symmetric nonlinearities. The input parameter effect is studied on the possibility of the system SI estimation. It is showed that requirements of an excitation constancy to an input in adaptive systems and SI systems differ.

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Kashani, H., and A. S. Nobari. "Structural Nonlinearity Identification Using Perturbed Eigen Problem and ITD Modal Analysis Method." Applied Mechanics and Materials 232 (November 2012): 949–54. http://dx.doi.org/10.4028/www.scientific.net/amm.232.949.

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Identification of nonlinear behavior in structural dynamics has been considered here, in this paper. Time domain output data of system are directly used to identify system through Ibrahim Time Domain (ITD) modal analysis method and perturbed eigen problem. Cubic stiffness and Jenkins element, as case studies, are employed to qualify the identification method. Results are compared with Harmonic Balance (HB) estimation of nonlinear dynamic stiffness. Results of ITD based identification are in good agreement with the HB estimation, for stiffness parts of nonlinear dynamic stiffness but for damping parts of nonlinear dynamic stiffness, method needs some additional improvements which are under investigation.

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Yang, Min, Weiming Xiao, Erjing Han, Junjuan Zhao, Wenjiang Wang, and Yunan Liu. "Dynamic analysis of negative stiffness noise absorber with magnet." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 7 (February 1, 2023): 183–88. http://dx.doi.org/10.3397/in_2022_0031.

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In the paper, the negative stiffness membrane absorber with magnet has been taken as a nonlinear noise absorber. The dynamic characteristics of the nonlinear noise absorber have been studied by nonlinear dynamics theory and numerical simulation. The dynamic equations of the system were established under harmonic excitation. The slow flow equations of the system are derived by using complexification averaging method, and the nonlinear equations which describe the steady-state response are obtained. Bifurcation diagram, amplitude frequency diagram and phase diagram are used to study the nonlinear response of structures under different excitation conditions. The effects of excitation amplitude, excitation frequency, nonlinear term and structural parameters on the nonlinear dynamic characteristics and sound absorption characteristics of the structure are studied. The resulting equations are verified by comparing the results which respectively obtained from complexification-averaging method and Runge-Kutta method. It is helpful to optimize the structural parameters and further improve the sound absorption performance to study the variation of the sound absorption performance of magnet negative stiffness membrane absorber system with its structural parameters.

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Davey, Keith, Muhammed Atar, Hamed Sadeghi, and Rooholamin Darvizeh. "The scaling of nonlinear structural dynamic systems." International Journal of Mechanical Sciences 206 (September 2021): 106631. http://dx.doi.org/10.1016/j.ijmecsci.2021.106631.

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Chen, Hua-Peng. "Nonlinear Perturbation Theory for Structural Dynamic Systems." AIAA Journal 43, no. 11 (November 2005): 2412–21. http://dx.doi.org/10.2514/1.15207.

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Karpel, Moti, Alexander Shousterman, Carlos Maderuelo, and Héctor Climent. "Dynamic Aeroservoelastic Response with Nonlinear Structural Elements." AIAA Journal 53, no. 11 (November 2015): 3233–39. http://dx.doi.org/10.2514/1.j053550.

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9

Ting, T., and I. U. Ojalvo. "Dynamic structural correlation via nonlinear programming techniques." Finite Elements in Analysis and Design 5, no. 3 (October 1989): 247–56. http://dx.doi.org/10.1016/0168-874x(89)90047-4.

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Ahmadi, Karim, Davood Asadi, and Farshad Pazooki. "Nonlinear L1 adaptive control of an airplane with structural damage." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, no. 1 (September 14, 2017): 341–53. http://dx.doi.org/10.1177/0954410017730088.

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This paper investigates the design of a novel nonlinear L1 adaptive control architecture to stabilize and control an aircraft with structural damage. The airplane nonlinear model is developed considering center of gravity variation and aerodynamic changes due to damage. The new control strategy is applied by using nonlinear dynamic inversion as a baseline augmented with an L1 adaptive control strategy on NASA generic transport model in presence of un-modeled actuator dynamics, wing and vertical tail damage. The L1 adaptive controller with appropriate design of filter and gains is applied to accommodate uncertainty due to structural damage and un-modeled dynamics in the nonlinear dynamic inversion loop, and to meet desired performance requirements. The properties of the proposed nonlinear adaptive controller are investigated against a model reference adaptive control, a robust model reference adaptive control, and an adaptive sliding mode control strategy. The results clearly represent the excellent overall performance of the designed controller.

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Dissertations / Theses on the topic "Nonlinear Structural Dynamic"

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Izzuddin, Bassam Afif. "Nonlinear dynamic analysis of framed structures." Thesis, Imperial College London, 1990. http://hdl.handle.net/10044/1/8080.

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2

Yan, Zhihao, and 阎志浩. "Nonlinear dynamic analysis and strcutural identification of frames." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43224076.

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Yan, Zhihao. "Nonlinear dynamic analysis and strcutural identification of frames." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B43224076.

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Normann, James Brian. "Parametric identification of nonlinear structural dynamic systems." Thesis, Virginia Tech, 1989. http://hdl.handle.net/10919/43294.

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The identification of linear structural dynamic systems has been dealt with extensively in past studies. Identification methods for nonlinear structures have also been introduced in previous articles, including procedures based on the method of multiple scales, iterative and noniterative direct methods, and state space mappings. Here, a procedure is introduced for the identification of nonlinear structural dynamic systems which is readily applicable to simple as well as more complex multiple degree of freedom systems. The procedure is based on multiple step integration methods for the solution of differential equations. The multiple step integration procedure and the iterative direct method are applied to a number of nonlinear single degree of freedom examples, and are applied to a simple two degrees of freedom example as well. RMS based noise is added to a simulated measured response in order to monitor the effects of measurement errors on the procedures. The input data is filtered before final processing in the identification algorithms. The multistep algorithm is compared to the iterative direct method on the basis of criteria such as accuracy, ease of use, and numerical efficiency.
Master of Science

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Kapoor, Hitesh. "Nonlinear Dynamic Response of Flexible Membrane Structures to Blast Loads." Thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/41238.

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The present work describes the finite element (FE) modeling and dynamic response of lightweight, deployable shelters (tent) to large external blast loads. Flexible shelters have been used as temporary storage places for housing equipments, vehicles etc. TEMPER Tents, Small Shelter System have been widely used by Air Force and Army, for various field applications. These shelters have pressurized Collective Protection System (CPS), liner, fitted to the frame structure, which can provide protection against explosives and other harmful agents. Presently, these shelter systems are being tested for the force protection standards against the explosions like air-blast. In the field tests carried out by Air Force Research Laboratory, it was revealed that the liner fitted inside the tent was damaged due to the air blast explosion at some distant from the structure, with major damage being on the back side of the tent. The damage comprised of tearing of liner and separation of zip seals. To investigate the failure, a computational approach, due to its simplicity and ability to solve the complex problems, is used. The response of any structural form to dynamic loading condition is very difficult to predict due to its dependence on multiple factors like the duration of the loading, peak load, shape of the pulse, the impulse energy, boundary conditions and material properties etc. And dynamic analysis of shell structures pose even much greater challenge. Obtaining solution analytically presents a very difficult preposition when nonlinearity is considered. Therefore, the numerical approach is sought which provide simplicity and comparable accuracy. A 3D finite element model has been developed, consisting of fabric skin supported over the frames based on two approaches. ANSYS has been used for obtaining the dynamic response of shelter against the blast loads. In the first approach, the shell is considered as a membrane away from its boundaries, in which the stress couple is neglected in its interior region. In the second approach, stress coupling is neglected over the whole region. Three models were developed using Shell 63, Shell 181 and Shell 41. Shell 63 element supports both the membrane only and membrane-bending combined options and include stress stiffening and large deflection capabilities. Shell 181 include all these options as Shell 63 does and also, accounts for the follower loads. Shell 41 is a membrane element and does not include any bending stiffness. This element also include stress stiffening and large deflection capabilities. A nonlinear static analysis is performed for a simple plate model using the elements, Shell 41 and Shell 63. The membrane dominated behavior is observed for the shell model as the pressure load is increased. It is also observed that the higher value of Young's modulus (E) increases the stresses significantly. Transient analysis is a method of determining the structural response due to time dependent loading conditions. The full method has been used for performing the nonlinear transient analysis. Its more expensive in terms of computation involved but it takes into account all types of nonlinearities such as plasticity, large deflection and large strain etc. Implicit approach has been used where Newmark method along with the Newton-Raphson method has been used for the nonlinear analysis. Dynamic response comprising of displacement-time history and dynamic stresses has been obtained. From the displacement response, it is observed that the first movement of the back wall is out of the tent in contrast to the other sides whose first movement is into the tent. Dynamic stresses showed fluctuations in the region when the blast is acting on the structure and in the initial free vibration zone. A parametric study is performed to provide insight into the design criteria. It is observed that the mass could be an effective means of reducing the peak responses. As the value of the Young's Modulus (E) is increased, the peak displacements are reduced resulting from the increase in stiffness. The increased stiffness lead to reduced transmitted peak pressure and reduced value of maximum strain. But a disproportionate increase lead to higher stresses which could result in failure. Therefore, a high modulus value should be avoided.
Master of Science

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Ashmawy, Mahmoud El Hassan Aly. "Nonlinear dynamic analysis of guyed masts for wind and earthquake loading." Thesis, University of Westminster, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.304725.

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Benamar, Rhali. "Nonlinear dynamic behaviour of fully clamped beams and rectangular isotropic and laminated plates." Thesis, University of Southampton, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.280910.

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8

Yao, Ming-Sheng. "Linear and geometrically nonlinear structural dynamic analysis using reduced basis finite element technique." Thesis, Imperial College London, 1990. http://hdl.handle.net/10044/1/46620.

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9

Badmus, Olanrewju O. "Nonlinear dynamic analysis and control of surge and rotating stall in axial compression systems." Diss., Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/11296.

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10

Koko, Tamunoiyala Stanley. "Super finite elements for nonlinear static and dynamic analysis of stiffened plate structures." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/30723.

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The analysis of stiffened plate structures subject to complex loads such as air-blast pressure waves from external or internal explosions, water waves, collisions or simply large static loads is still considered a difficult task. The associated response is highly nonlinear and although it can be solved with currently available commercial finite element programs, the modelling requires many elements with a huge amount of input data and very expensive computer runs. Hence this type of analysis is impractical at the preliminary design stage. The present work is aimed at improving this situation by introducing a new philosophy. That is, a new formulation is developed which is capable of representing the overall response of the complete structure with reasonable accuracy but with a sacrifice in local detailed accuracy. The resulting modelling is relatively simple thereby requiring much reduced data input and run times. It now becomes feasible to carry out design oriented response analyses. Based on the above philosophy, new plate and stiffener beam finite elements are developed for the nonlinear static and dynamic analysis of stiffened plate structures. The elements are specially designed to contain all the basic modes of deformation response which occur in stiffened plates and are called super finite elements since only one plate element per bay or one beam element per span is needed to achieve engineering design level accuracy at minimum cost. Rectangular plate elements are used so that orthogonally stiffened plates can be modelled. The von Karman large deflection theory is used to model the nonlinear geometric behaviour. Material nonlinearities are modelled by von Mises yield criterion and associated flow rule using a bi-linear stress-strain law. The finite element equations are derived using the virtual work principle and the matrix quantities are evaluated by Gauss quadrature. Temporal integration is carried out using the Newmark-β method with Newton-Raphson iteration for the nonlinear equations at each time step. A computer code has been written to implement the theory and this has been applied to the static, vibration and transient analysis of unstiffened plates, beams and plates stiffened in one or two orthogonal directions. Good approximations have been obtained for both linear and nonlinear problems with only one element representations for each plate bay or beam span with significant savings in computing time and costs. The displacement and stress responses obtained from the present analysis compare well with experimental, analytical or other numerical results.
Applied Science, Faculty of
Civil Engineering, Department of
Graduate

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Books on the topic "Nonlinear Structural Dynamic"

1

1929-, Bert Charles Wesley, ed. Nonlinear dynamic problems for composite cylindrical shells. London: Elsevier Applied Science, 1993.

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Chance, Julian Edward. Structural fault detection employing linear and nonlinear dynamic characteristics. Manchester: University of Manchester, 1996.

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3

Joe, Padovan, Fertis Demeter G, and United States. National Aeronautics and Space Administration., eds. Engine dynamic analysis with general nonlinear finite element codes. [Washington, DC]: National Aeronautics and Space Administration, 1991.

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4

Reanalysis of structures: A unified approach for linear, nonlinear, static, and dynamic systems. Dordrecht, The Netherlands: Springer, 2008.

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5

A joint element for the nonlinear dynamic analysis of arch dams. Zurich: Institue of Strutural Engineering, Swiss Federal Institue of Technology, 1992.

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6

Kahn, Peter B. Nonlinear dynamics: Exploration through normal forms. New York: Wiley, 1998.

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Kahn, Peter B. Nonlinear dynamics: Exploration through normal forms. Mineola, New York: Dover Publications, Inc., 2014.

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8

Bachmann, Hugo. Capacity design and nonlinear dynamic analysis of earthquake-resistant structures. Zürich: Institut für Baustatik und Konstruktion (IBK), 1994.

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9

F, Knight Norman, and United States. National Aeronautics and Space Administration., eds. Nonlinear structural response using adaptive dynamic relaxation on a massively-parallel-processing system. [Washington, DC: National Aeronautics and Space Administration, 1994.

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10

Ng, Chung Fai. Design guide for predicting nonlinear random response (including snap-through) of buckled plates. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1989.

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Book chapters on the topic "Nonlinear Structural Dynamic"

1

Sinopoli, A. "Nonlinear dynamic analysis of multiblock structures." In Structural Dynamics, 127–34. London: Routledge, 2022. http://dx.doi.org/10.1201/9780203738085-20.

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Izzuddin, B. A., A. S. Elnashai, and P. J. Dowling. "Large displacement nonlinear dynamic analysis of space frames." In Structural Dynamics, 491–96. London: Routledge, 2022. http://dx.doi.org/10.1201/9780203738085-71.

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Talaganov, Kosta, Irena Zafirova, and Misko Cubrinovski. "Nonlinear soil dynamic models based on performed laboratory tests." In Structural Dynamics, 273–80. London: Routledge, 2022. http://dx.doi.org/10.1201/9780203738085-40.

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Hjelmstad, Keith D. "Nonlinear Dynamic Analysis of Planar Beams." In Fundamentals of Structural Dynamics, 403–33. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89944-8_13.

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Basar, Y., C. Eller, W. B. Krätzig, and R. Quante. "Finite element analysis of nonlinear dynamic instability phenomena of arbitrary shell structures." In Structural Dynamics, 91–96. London: Routledge, 2022. http://dx.doi.org/10.1201/9780203738085-15.

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Yamakawa, H. "Optimum Designs of Rotating Shaft Systems for Nonlinear Dynamic Responses." In Structural Optimization, 363–70. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-1413-1_46.

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Sfakianakis, Manolis G., and Michael N. Fardis. "Biaxial column element for nonlinear dynamic analysis of space-frame reinforced concrete structures." In Structural Dynamics, 557–64. London: Routledge, 2022. http://dx.doi.org/10.1201/9780203738085-82.

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Fotiu, P., H. Irschik, and F. Ziegler. "Dynamic Plasticity: Structural Drift and Modal Projections." In Nonlinear Dynamics in Engineering Systems, 75–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-83578-0_10.

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Ang, A. H.-S., and Y. K. Wen. "Nonlinear Random Vibration in Structural Safety and Performance Evaluation." In Nonlinear Stochastic Dynamic Engineering Systems, 493–506. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83334-2_36.

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Kuether, Robert J., and Mathew S. Allen. "Structural Modification of Nonlinear FEA Subcomponents Using Nonlinear Normal Modes." In Topics in Experimental Dynamic Substructuring, Volume 2, 37–50. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6540-9_4.

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Conference papers on the topic "Nonlinear Structural Dynamic"

1

BLAIR, KIM, CHARLES KROUSGRILL, and THOMAS FARRIS. "Nonlinear dynamic response of shallow arches." In 33rd Structures, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1992. http://dx.doi.org/10.2514/6.1992-2548.

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TORTORELLI, DANIEL, ROBERT HABER, and STEPHEN LU. "Shape sensitivities for nonlinear dynamic thermoelastic structures." In 30th Structures, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1989. http://dx.doi.org/10.2514/6.1989-1311.

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MOOK, D. "Estimation and identification of nonlinear dynamic systems." In 29th Structures, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1988. http://dx.doi.org/10.2514/6.1988-2271.

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OU, RONGFU, and ROBERT FULTON. "Solution of nonlinear dynamic response on parallel computers." In 29th Structures, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1988. http://dx.doi.org/10.2514/6.1988-2396.

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Luo, H., S. Hanagud, H. Luo, and S. Hanagud. "Delaminated beam nonlinear dynamic response calculation and visualization." In 38th Structures, Structural Dynamics, and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1997. http://dx.doi.org/10.2514/6.1997-1159.

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MCGOWAN, P., and J. HOUSNER. "Nonlinear dynamic analysis of deploying flexible space booms." In 26th Structures, Structural Dynamics, and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1985. http://dx.doi.org/10.2514/6.1985-594.

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NOOR, A., and J. PETERS. "Penalty finite element models for nonlinear dynamic analysis." In 26th Structures, Structural Dynamics, and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1985. http://dx.doi.org/10.2514/6.1985-728.

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Karpel, Mordechay, Alexander Shousetrman, Hector Climent, Carlos Maderuelo, and Alvaro P. de la Serna. "Dynamic Aeroservoelastic Response with Nonlinear Structural Elements." In 54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2013. http://dx.doi.org/10.2514/6.2013-1702.

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Al-Sayegh, Ammar T., and Elisa D. Sotelino. "Dynamic Load Balancing Techniques for Nonlinear Structural Dynamics." In 17th Analysis and Computation Specialty Conferenc at Structures 2006. Reston, VA: American Society of Civil Engineers, 2006. http://dx.doi.org/10.1061/40878(202)42.

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DINKLER, DIETER. "Phenomena in nonlinear dynamic buckling behaviour of elastic structures." In 33rd Structures, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1992. http://dx.doi.org/10.2514/6.1992-2551.

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Reports on the topic "Nonlinear Structural Dynamic"

1

Attaway, S. W., F. J. Mello, M. W. Heinstein, J. W. Swegle, J. A. Ratner, and R. I. Zadoks. PRONTO3D users` instructions: A transient dynamic code for nonlinear structural analysis. Office of Scientific and Technical Information (OSTI), June 1998. http://dx.doi.org/10.2172/291042.

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2

Oden, J. T. Computational Methods for Nonlinear Dynamics Problems in Solid and Structural Mechanics: Models of Dynamic Frictional Phenomena in Metallic Structures. Fort Belvoir, VA: Defense Technical Information Center, March 1986. http://dx.doi.org/10.21236/ada174585.

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Perdigão, Rui A. P., and Julia Hall. Spatiotemporal Causality and Predictability Beyond Recurrence Collapse in Complex Coevolutionary Systems. Meteoceanics, November 2020. http://dx.doi.org/10.46337/201111.

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Causality and Predictability of Complex Systems pose fundamental challenges even under well-defined structural stochastic-dynamic conditions where the laws of motion and system symmetries are known. However, the edifice of complexity can be profoundly transformed by structural-functional coevolution and non-recurrent elusive mechanisms changing the very same invariants of motion that had been taken for granted. This leads to recurrence collapse and memory loss, precluding the ability of traditional stochastic-dynamic and information-theoretic metrics to provide reliable information about the non-recurrent emergence of fundamental new properties absent from the a priori kinematic geometric and statistical features. Unveiling causal mechanisms and eliciting system dynamic predictability under such challenging conditions is not only a fundamental problem in mathematical and statistical physics, but also one of critical importance to dynamic modelling, risk assessment and decision support e.g. regarding non-recurrent critical transitions and extreme events. In order to address these challenges, generalized metrics in non-ergodic information physics are hereby introduced for unveiling elusive dynamics, causality and predictability of complex dynamical systems undergoing far-from-equilibrium structural-functional coevolution. With these methodological developments at hand, hidden dynamic information is hereby brought out and explicitly quantified even beyond post-critical regime collapse, long after statistical information is lost. The added causal insights and operational predictive value are further highlighted by evaluating the new information metrics among statistically independent variables, where traditional techniques therefore find no information links. Notwithstanding the factorability of the distributions associated to the aforementioned independent variables, synergistic and redundant information are found to emerge from microphysical, event-scale codependencies in far-from-equilibrium nonlinear statistical mechanics. The findings are illustrated to shed light onto fundamental causal mechanisms and unveil elusive dynamic predictability of non-recurrent critical transitions and extreme events across multiscale hydro-climatic problems.

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Nayfeh, A. H., J. A. Burns, and E. M. Cliff. Nonlinear Dynamics and Control of SDI Structural Components. Fort Belvoir, VA: Defense Technical Information Center, May 1990. http://dx.doi.org/10.21236/ada222472.

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Moon, Francis C., Peter Gergely, James S. Thorp, and John F. Abel. Nonlinear Dynamics and Control of Flexible Structures. Fort Belvoir, VA: Defense Technical Information Center, March 1989. http://dx.doi.org/10.21236/ada208120.

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Azene, Muluneh, A. K. Bajaj, and O. D. Nwokah. Structural Dynamics of Nonlinear Mechanical Systems with Cyclic Symmetry. Fort Belvoir, VA: Defense Technical Information Center, June 1996. http://dx.doi.org/10.21236/ada391308.

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Chen, Ping-Chih. Continuous Dynamic Simulation of Nonlinear Aerodynamics/Nonlinear Structure Interaction (NANSI) for Morphing Vehicles. Fort Belvoir, VA: Defense Technical Information Center, March 2010. http://dx.doi.org/10.21236/ada567851.

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Torres, Marissa, Michael-Angelo Lam, and Matt Malej. Practical guidance for numerical modeling in FUNWAVE-TVD. Engineer Research and Development Center (U.S.), October 2022. http://dx.doi.org/10.21079/11681/45641.

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Abstract:

This technical note describes the physical and numerical considerations for developing an idealized numerical wave-structure interaction modeling study using the fully nonlinear, phase-resolving Boussinesq-type wave model, FUNWAVE-TVD (Shi et al. 2012). The focus of the study is on the range of validity of input wave characteristics and the appropriate numerical domain properties when inserting partially submerged, impermeable (i.e., fully reflective) coastal structures in the domain. These structures include typical designs for breakwaters, groins, jetties, dikes, and levees. In addition to presenting general numerical modeling best practices for FUNWAVE-TVD, the influence of nonlinear wave-wave interactions on regular wave propagation in the numerical domain is discussed. The scope of coastal structures considered in this document is restricted to a single partially submerged, impermeable breakwater, but the setup and the results can be extended to other similar structures without a loss of generality. The intended audience for these materials is novice to intermediate users of the FUNWAVE-TVD wave model, specifically those seeking to implement coastal structures in a numerical domain or to investigate basic wave-structure interaction responses in a surrogate model prior to considering a full-fledged 3-D Navier-Stokes Computational Fluid Dynamics (CFD) model. From this document, users will gain a fundamental understanding of practical modeling guidelines that will flatten the learning curve of the model and enhance the final product of a wave modeling study. Providing coastal planners and engineers with ease of model access and usability guidance will facilitate rapid screening of design alternatives for efficient and effective decision-making under environmental uncertainty.

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Moon, F. C., and G. Muntean. Nonlinear dynamics of fluid-structure systems. Annual technical report. Office of Scientific and Technical Information (OSTI), January 1994. http://dx.doi.org/10.2172/10153791.

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Verbrugge, Randal J., and Saeed Zaman. Post-COVID Inflation Dynamics: Higher for Longer. Federal Reserve Bank of Cleveland, January 2023. http://dx.doi.org/10.26509/frbc-wp-202306.

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In the December 2022 Summary of Economic Projections (SEP), the median projection for four-quarter core PCE inflation in the fourth quarter of 2025 is 2.1 percent. This same SEP has unemployment rising by nine-tenths, to 4.6 percent, by the end of 2023. We assess the plausibility of this projection using a specific nonlinear model that embeds an empirically successful nonlinear Phillips curve specification into a structural model, identifying it via an underutilized data-dependent method. We model core PCE inflation using three components that align with those noted by Chair Powell in his December 14, 2022, press conference: housing, core goods, and core-services-less-housing. Our model projects that conditional on the SEP unemployment rate path and a rapid deceleration of core goods prices, core PCE inflation moderates to only 2.75 percent by the end of 2025: inflation will be higher for longer. A deep recession would be necessary to achieve the SEP’s projected inflation path. A simple reduced-form welfare analysis, which abstracts from any danger of inflation expectations becoming unanchored, suggests that such a recession would not be optimal.

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