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Relevant bibliographies by topics / Dynamical structure functions

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Academic literature on the topic 'Dynamical structure functions'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 February 2022

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Journal articles on the topic "Dynamical structure functions"

1

Indumathi, D., and Wei Zhu. "A dynamical model for nuclear structure functions." Zeitschrift für Physik C 74, no. 1 (1997): 119. http://dx.doi.org/10.1007/s002880050375.

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Yuan, Ye, Keith Glover, and Jorge Gonçalves. "On minimal realisations of dynamical structure functions." Automatica 55 (May 2015): 159–64. http://dx.doi.org/10.1016/j.automatica.2015.03.005.

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Glück, M., and E. Reya. "Dynamical QCD evaluation of the photon structure functions." Nuclear Physics B 311, no. 3 (January 1989): 519–26. http://dx.doi.org/10.1016/0550-3213(89)90166-1.

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Golden, Kenneth I., and Gabor J. Kalman. "Dynamical structure functions for charged particle bilayers and superlattices." Journal of Physics A: Mathematical and General 36, no. 22 (May 23, 2003): 5865–75. http://dx.doi.org/10.1088/0305-4470/36/22/306.

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Hohl, M., J. Roth, and H. R. Trebin. "Correlation functions and the dynamical structure factor of quasicrystals." European Physical Journal B 17, no. 4 (October 2000): 595–601. http://dx.doi.org/10.1007/s100510070096.

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Duch, Włodzisław. "Hylomorphism Extended: Dynamical Forms and Minds." Philosophies 3, no. 4 (November 19, 2018): 36. http://dx.doi.org/10.3390/philosophies3040036.

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Physical objects are compounds of matter and form, as stated by Aristotle in his hylomorphism theory. The concept of “form” in this theory refers to physical structures or organizational structures. However, mental processes are not of this kind, they do not change physical arrangement of neurons, but change their states. To cover all natural processes hylomorphism should acknowledge differences between three kinds of forms: Form as physical structure, form as function resulting from organization and interactions between constituent parts, and dynamical form as state transitions that change functions of structures without changing their physical organization. Dynamical forms, patterns of energy activation that change the flow of information without changing the structure of matter, are the key to understand minds of rational animals.

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Shul’ga, N. F., V. V. Syshchenko, A. I. Tarnovsky, and A. Yu Isupov. "Structure of the channeling electrons wave functions under dynamical chaos conditions." Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 370 (March 2016): 1–9. http://dx.doi.org/10.1016/j.nimb.2015.12.040.

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Andersson, B. "A string-dynamical description of gluon and ocean quark structure functions." Physics Letters B 277, no. 3 (March 5, 1992): 359–65. http://dx.doi.org/10.1016/0370-2693(92)90758-v.

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Yeung, Enoch, Jongmin Kim, Ye Yuan, Jorge Gonçalves, and Richard M. Murray. "Data-driven network models for genetic circuits from time-series data with incomplete measurements." Journal of The Royal Society Interface 18, no. 182 (September 2021): 20210413. http://dx.doi.org/10.1098/rsif.2021.0413.

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Synthetic gene networks are frequently conceptualized and visualized as static graphs. This view of biological programming stands in stark contrast to the transient nature of biomolecular interaction, which is frequently enacted by labile molecules that are often unmeasured. Thus, the network topology and dynamics of synthetic gene networks can be difficult to verify in vivo or in vitro , due to the presence of unmeasured biological states. Here we introduce the dynamical structure function as a new mesoscopic, data-driven class of models to describe gene networks with incomplete measurements of state dynamics. We develop a network reconstruction algorithm and a code base for reconstructing the dynamical structure function from data, to enable discovery and visualization of graphical relationships in a genetic circuit diagram as time-dependent functions rather than static, unknown weights. We prove a theorem, showing that dynamical structure functions can provide a data-driven estimate of the size of crosstalk fluctuations from an idealized model. We illustrate this idea with numerical examples. Finally, we show how data-driven estimation of dynamical structure functions can explain failure modes in two experimentally implemented genetic circuits, a previously reported in vitro genetic circuit and a new E. coli -based transcriptional event detector.

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Bruin, Nils, and Alexander Molnar. "Minimal models for rational functions in a dynamical setting." LMS Journal of Computation and Mathematics 15 (December 1, 2012): 400–417. http://dx.doi.org/10.1112/s1461157012001131.

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AbstractWe present a practical algorithm to compute models of rational functions with minimal resultant under conjugation by fractional linear transformations. We also report on a search for rational functions of degrees 2 and 3 with rational coefficients that have many integers in a single orbit. We find several minimal quadratic rational functions with eight integers in an orbit and several minimal cubic rational functions with ten integers in an orbit. We also make some elementary observations on possibilities of an analogue of Szpiro’s conjecture in a dynamical setting and on the structure of the set of minimal models for a given rational function.

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Dissertations / Theses on the topic "Dynamical structure functions"

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Rottenfußer, Günter [Verfasser]. "On the dynamical fine structure of entire transcendental functions / Günter Rottenfußer." Bremen : IRC-Library, Information Resource Center der Jacobs University Bremen, 2008. http://d-nb.info/1034768298/34.

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Chetty, Vasu Nephi. "Necessary and Sufficient Informativity Conditions for Robust Network Reconstruction Using Dynamical Structure Functions." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3810.

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Dynamical structure functions were developed as a partial structure representation of linear time-invariant systems to be used in the reconstruction of biological networks. Dynamical structure functions contain more information about structure than a system's transfer function, while requiring less a priori information for reconstruction than the complete computational structure associated with the state space realization. Early sufficient conditions for network reconstruction with dynamical structure functions severely restricted the possible applications of the reconstruction process to networks where each input independently controls a measured state. The first contribution of this thesis is to extend the previously established sufficient conditions to incorporate both necessary and sufficient conditions for reconstruction. These new conditions allow for the reconstruction of a larger number of networks, even networks where independent control of measured states is not possible. The second contribution of this thesis is to extend the robust reconstruction algorithm to all reconstructible networks. This extension is important because it allows for the reconstruction of networks from real data, where noise is present in the measurements of the system. The third contribution of this thesis is a Matlab toolbox that implements the robust reconstruction algorithm discussed above. The Matlab toolbox takes in input-output data from simulations or real-life perturbation experiments and returns the proposed Boolean structure of the network. The final contribution of this thesis is to increase the applicability of dynamical structure functions to more than just biological networks by applying our reconstruction method to wireless communication networks. The reconstruction of wireless networks produces a dynamic interference map that can be used to improve network performance or interpret changes of link rates in terms of changes in network structure, enabling novel anomaly detection and security schemes.

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Jin, Meilan. "Signal Structure for a Class of Nonlinear Dynamic Systems." BYU ScholarsArchive, 2018. https://scholarsarchive.byu.edu/etd/6829.

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The signal structure is a partial structure representation for dynamic systems. It characterizes the causal relationship between manifest variables and is depicted in a weighted graph, where the weights are dynamic operators. Earlier work has defined signal structure for linear time-invariant systems through dynamical structure function. This thesis focuses on the search for the signal structure of nonlinear systems and proves that the signal structure reduces to the linear definition when the systems are linear. Specifically, this work: (1) Defines the complete computational structure for nonlinear systems. (2) Provides a process to find the complete computational structure given a state space model. (3) Defines the signal structure for dynamic systems in general. (4) Provides a process to find the signal structure for a class of dynamic systems from their complete computational structure.

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Leung, Chi Ho. "Necessary and Sufficient Conditions on State Transformations That Preserve the Causal Structure of LTI Dynamical Networks." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/7413.

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Linear time-invariant (LTI) dynamic networks are described by their dynamical structure function, and generally, they have many possible state space realizations. This work characterizes the necessary and sufficient conditions on a state transformation that preserves the dynamical structure function, thereby generating the entire set of realizations of a given order for a specific dynamic network.

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Locht, Inka L. M. "Theoretical methods for the electronic structure and magnetism of strongly correlated materials." Doctoral thesis, Uppsala universitet, Materialteori, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-308699.

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In this work we study the interesting physics of the rare earths, and the microscopic state after ultrafast magnetization dynamics in iron. Moreover, this work covers the development, examination and application of several methods used in solid state physics. The first and the last part are related to strongly correlated electrons. The second part is related to the field of ultrafast magnetization dynamics. In the first part we apply density functional theory plus dynamical mean field theory within the Hubbard I approximation to describe the interesting physics of the rare-earth metals. These elements are characterized by the localized nature of the 4f electrons and the itinerant character of the other valence electrons. We calculate a wide range of properties of the rare-earth metals and find a good correspondence with experimental data. We argue that this theory can be the basis of future investigations addressing rare-earth based materials in general. In the second part of this thesis we develop a model, based on statistical arguments, to predict the microscopic state after ultrafast magnetization dynamics in iron. We predict that the microscopic state after ultrafast demagnetization is qualitatively different from the state after ultrafast increase of magnetization. This prediction is supported by previously published spectra obtained in magneto-optical experiments. Our model makes it possible to compare the measured data to results that are calculated from microscopic properties. We also investigate the relation between the magnetic asymmetry and the magnetization. In the last part of this work we examine several methods of analytic continuation that are used in many-body physics to obtain physical quantities on real energies from either imaginary time or Matsubara frequency data. In particular, we improve the Padé approximant method of analytic continuation. We compare the reliability and performance of this and other methods for both one and two-particle Green's functions. We also investigate the advantages of implementing a method of analytic continuation based on stochastic sampling on a graphics processing unit (GPU).

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Woodbury, Nathan Scott. "Representation and Reconstruction of Linear, Time-Invariant Networks." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/7402.

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Network reconstruction is the process of recovering a unique structured representation of some dynamic system using input-output data and some additional knowledge about the structure of the system. Many network reconstruction algorithms have been proposed in recent years, most dealing with the reconstruction of strictly proper networks (i.e., networks that require delays in all dynamics between measured variables). However, no reconstruction technique presently exists capable of recovering both the structure and dynamics of networks where links are proper (delays in dynamics are not required) and not necessarily strictly proper.The ultimate objective of this dissertation is to develop algorithms capable of reconstructing proper networks, and this objective will be addressed in three parts. The first part lays the foundation for the theory of mathematical representations of proper networks, including an exposition on when such networks are well-posed (i.e., physically realizable). The second part studies the notions of abstractions of a network, which are other networks that preserve certain properties of the original network but contain less structural information. As such, abstractions require less a priori information to reconstruct from data than the original network, which allows previously-unsolvable problems to become solvable. The third part addresses our original objective and presents reconstruction algorithms to recover proper networks in both the time domain and in the frequency domain.

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Chetty, Vasu Nephi. "Theory and Applications of Network Structure of Complex Dynamical Systems." BYU ScholarsArchive, 2017. https://scholarsarchive.byu.edu/etd/6270.

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One of the most powerful properties of mathematical systems theory is the fact that interconnecting systems yields composites that are themselves systems. This property allows for the engineering of complex systems by aggregating simpler systems into intricate patterns. We call these interconnection patterns the "structure" of the system. Similarly, this property also enables the understanding of complex systems by decomposing them into simpler parts. We likewise call the relationship between these parts the "structure" of the system. At first glance, these may appear to represent identical views of structure of a system. However, further investigation invites the question: are these two notions of structure of a system the same? This dissertation answers this question by developing a theory of dynamical structure. The work begins be distinguishing notions of structure from their associated mathematical representations, or models, of a system. Focusing on linear time invariant (LTI) systems, the key technical contributions begin by extending the definition of the dynamical structure function to all LTI systems and proving essential invariance properties as well as extending necessary and sufficient conditions for the reconstruction of the dynamical structure function from data. Given these extensions, we then develop a framework for analyzing the structures associated with different representations of the same system and use this framework to show that interconnection (or subsystem) structures are not necessarily the same as decomposition (or signal) structures. We also show necessary and sufficient conditions for the reconstruction of the interconnection (or subsystem) structure for a class of systems. In addition to theoretical contributions, this work also makes key contributions to specific applications. In particular, network reconstruction algorithms are developed that extend the applicability of existing methods to general LTI systems while improving the computational complexity. Also, a passive reconstruction method was developed that enables reconstruction without actively probing the system. Finally, the structural theory developed here is used to analyze the vulnerability of a system to simultaneous attacks (coordinated or uncoordinated), enabling a novel approach to the security of cyber-physical-human systems.

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Hagy, Matthew Canby. "Dynamical simulation of structured colloidal particles." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50328.

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In this thesis, computer simulations are used to study the properties of new colloidal systems with structured interactions. These are pair interactions that include both attraction and repulsion. Structured colloids differ from conventional colloids in which the interactions between particles are either strictly attractive or strictly repulsive. It is anticipated that these novel interactions will give rise to new microscopic structure and dynamics and therefore new material properties. Three classes of structured interactions are considered: radially structured interactions with an energetic barrier to pair association, Janus surface patterns with two hemispheres of different surface charge, and striped surface patterns. New models are developed to capture the structured interactions of these novel colloid systems. Dynamical computer simulations of these models are performed to quantify the effects of structured interactions on colloid properties. The results show that structured interactions can lead to unexpected particle ordering and novel dynamics. For Janus and striped particles, the particle order can be captured with simpler isotropic coarse-grained models. This relates the static properties of these new colloids to conventional isotropically attractive colloids (e.g. depletion attracting colloids). In contrast, Janus and striped particles are found to have substantially slower dynamics than isotropically attractive colloids. This is explained by the observation of longer-duration reversible bonds between pairs of structured particles. Dynamical mapping methods are explored to relates the dynamics of these structured colloids to isotropically attractive colloids. These methods could also facilitate future nonequilibrium simulation of structured colloids with computationally efficient coarse-grained models.

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Damry, Adam. "From Protein Sequence to Motion to Function: Towards the Rational Design of Functional Protein Dynamics." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39211.

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Protein dynamics are critical to the structure and function of proteins. However, due to the complexity they inherently bring to the protein design problem, dynamics historically have not been considered in computational protein design (CPD). Herein, we present meta-MSD, a new CPD methodology for the design of protein dynamics. We applied our methodology to the design of a novel mode of conformational exchange in Streptococcal protein G domain B1, producing dynamic variants we termed DANCERs. Predictions were validated by NMR characterization of selected DANCERs, confirming that our meta-MSD framework is suitable for the computational design of protein dynamics. We then performed a thorough NMR characterization of the sequence determinants of dynamics in one DANCER, isolating two mutations responsible for the novel dynamics this protein exhibits. The first, A34F, is responsible for destabilizing the highly stable native Gβ1 conformation, allowing the protein to sample other conformational states. The second, V39L mediates subtle interactions that stabilize the designed conformational trajectory in the context of the A34F mutation. Together, these results highlight the role of protein plasticity in the development of dynamics and the need for highly accurate computational tools to approach similar design problems. Finally, we present an NMR-based characterization of structural dynamics in a family of related red fluorescent proteins (RFPs) and pinpoint regions of the RFP structure where dynamics correlate to RFP brightness. This overview of the RFP dynamics-function relationship will be used in future projects to perform a computation design of functional dynamics in RFPs.

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Hang, Huajiang Engineering &amp Information Technology Australian Defence Force Academy UNSW. "Prediction of the effects of distributed structural modification on the dynamic response of structures." Awarded by:University of New South Wales - Australian Defence Force Academy. Engineering & Information Technology, 2009. http://handle.unsw.edu.au/1959.4/44275.

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The aim of this study is to investigate means of efficiently assessing the effects of distributed structural modification on the dynamic properties of a complex structure. The helicopter structure is normally designed to avoid resonance at the main rotor rotational frequency. However, very often military helicopters have to be modified (such as to carry a different weapon system or an additional fuel tank) to fulfill operational requirements. Any modification to a helicopter structure has the potential of changing its resonance frequencies and mode shapes. The dynamic properties of the modified structure can be determined by experimental testing or numerical simulation, both of which are complex, expensive and time-consuming. Assuming that the original dynamic characteristics are already established and that the modification is a relatively simple attachment such as beam or plate modification, the modified dynamic properties may be determined numerically without solving the equations of motion of the full-modified structure. The frequency response functions (FRFs) of the modified structure can be computed by coupling the original FRFs and a delta dynamic stiffness matrix for the modification introduced. The validity of this approach is investigated by applying it to several cases, 1) 1D structure with structural modification but no change in the number of degree of freedom (DOFs). A simply supported beam with double thickness in the middle section is treated as an example for this case; 2) 1D structure with additional DOFs. A cantilever beam to which a smaller beam is attached is treated as an example for this case, 3) 2D structure with a reduction in DOFs. A four-edge-clamped plate with a cut-out in the centre is treated as an example for this case; and 4) 3D structure with additional DOFs. A box frame with a plate attached to it as structural modification with additional DOFs and combination of different structures. The original FRFs were obtained numerically and experimentally except for the first case. The delta dynamic stiffness matrix was determined numerically by modelling the part of the modified structure including the modifying structure and part of the original structure at the same location. The FRFs of the modified structure were then computed. Good agreement is obtained by comparing the results to the FRFs of the modified structure determined experimentally as well as by numerical modelling of the complete modified structure.

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Books on the topic "Dynamical structure functions"

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Milnor, John W. Dynamical systems (1984-2012). Edited by Bonifant Araceli 1963-. Providence, Rhode Island: American Mathematical Society, 2014.

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Rodnina, Marina V., Wolfgang Wintermeyer, and Rachel Green. Ribosomes: Structure, function, and dynamics. Edited by Ribosomes Meeting (2010 : Orvieto, Italy). Wien: Springer, 2011.

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Ehrenberg, Anders, Rudolf Rigler, Astrid Gräslund, and Lennart Nilsson, eds. Structure, Dynamics and Function of Biomolecules. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-71705-5.

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Péter, Érdi, and Szentágothai János, eds. Neural organization: Structure, function, and dynamics. Cambridge, Mass: MIT Press, 1998.

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Singh, Dev Bukhsh, and Timir Tripathi, eds. Frontiers in Protein Structure, Function, and Dynamics. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5530-5.

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Berry, Wallace. Structural functions in music. New York: Dover, 1987.

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Dynamics of the bacterial chromosome: Structure and function. Weinheim, DE: Wiley-VCH, 2007.

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Myster, Randall W., ed. Forest structure, function and dynamics in Western Amazonia. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119090670.

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William, Parry. Zeta functions and the periodic orbit structure of hyperbolic dynamics. Montrouge: Société mathématique de France, 1990.

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Verdegem, Peter J. E. Structure, function, and dynamics of the chromophore of Rhodopsin. Leiden: University of Leiden, 1998.

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Book chapters on the topic "Dynamical structure functions"

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Nemoto, Takahiro. "Common Scaling Functions in Dynamical and Quantum Phase Transitions." In Phenomenological Structure for the Large Deviation Principle in Time-Series Statistics, 41–76. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-811-3_3.

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Baratchart, Laurent. "On the topological structure of inner functions and its use in identification of linear systems." In Analysis of Controlled Dynamical Systems, 51–59. Boston, MA: Birkhäuser Boston, 1991. http://dx.doi.org/10.1007/978-1-4612-3214-8_5.

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Pradlwarter, H. J. "Test of Stationarity and the Estimation of Modulating Functions." In Structural Dynamics, 11–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-88298-2_2.

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Westfall, Gary D. "Balance Functions at RHIC." In Structure and Dynamics of Elementary Matter, 119–25. Dordrecht: Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-1-4020-2705-5_11.

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Steger, Gerhard, Volker Rosenbaum, and Detlev Riesner. "Viroids: Structure Formation and Function." In Structure and Dynamics of RNA, 315–29. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4684-5173-3_26.

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Hubbard, Roderick E. "Molecular Graphics and Molecular Dynamics." In Structure, Dynamics and Function of Biomolecules, 122–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-71705-5_26.

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Bauminger, E. R., I. Nowik, P. M. Harrison, and A. Treffry. "Dynamics of Iron in Ferritin." In Structure, Dynamics and Function of Biomolecules, 176–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-71705-5_37.

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Matsuura, Toyoaki, Naokazu Idota, Yoshiaki Hara, and Masahiko Annaka. "Dynamic Light Scattering Study of Pig Vitreous Body." In Gels: Structures, Properties, and Functions, 195–203. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00865-8_27.

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Martinis, Mladen. "Nonlinear Dynamics in the Binary DNA/RNA Coding Problem." In Supramolecular Structure and Function 7, 185–93. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1363-6_15.

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Prehoda, Kenneth E., Ed S. Mooberry, and John L. Markley. "High Pressure Effects on Protein Structure." In Protein Dynamics, Function, and Design, 59–86. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-4895-9_5.

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Conference papers on the topic "Dynamical structure functions"

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Wang, Tongcai, Lin Wang, and Xiaofan Wang. "Structure reconstruction for linear network systems with dynamical structure functions." In 2014 33rd Chinese Control Conference (CCC). IEEE, 2014. http://dx.doi.org/10.1109/chicc.2014.6895922.

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Goncalves, Jorge, Russell Howes, and Sean Warnick. "Dynamical structure functions for the reverse engineering of LTI networks." In 2007 46th IEEE Conference on Decision and Control. IEEE, 2007. http://dx.doi.org/10.1109/cdc.2007.4434406.

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Ohta, Shigemi, and Takeshi Yamazaki. "Nucleon structure functions from dynamical (2+1)-flavor domain wall fermions." In The XXVI International Symposium on Lattice Field Theory. Trieste, Italy: Sissa Medialab, 2009. http://dx.doi.org/10.22323/1.066.0168.

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Ohta, Shigemi. "Nucleon structure functions from dynamical (2+1)-flavor domain wall fermions." In The XXVII International Symposium on Lattice Field Theory. Trieste, Italy: Sissa Medialab, 2010. http://dx.doi.org/10.22323/1.091.0131.

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Yamazaki, Takeshi, and Shigemi Ohta. "Nucleon form factors and structure functions with $N_f$=2+1 dynamical domain wall fermions." In The XXV International Symposium on Lattice Field Theory. Trieste, Italy: Sissa Medialab, 2008. http://dx.doi.org/10.22323/1.042.0165.

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Ahmadian, M. T., E. Esmailzadeh, and M. Asgari. "Dynamical Stress Distribution Analysis of a Non-Uniform Cross-Section Beam Under Moving Mass." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-15429.

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One of the engineers concern in designing bridges and structures under moving load is the uniformity of stress distribution. In this paper the analysis of a variable cross-section beam subjected to a moving concentrated force and mass is investigated. Finite element method with cubic Hermitian interpolation functions is used to model the structure based on Euler-Bernoulli beam and Wilson-Θ direct integration method is implemented to solve time dependent equations. Effects of cross-section area variation, boundary conditions, and moving mass inertia on the deflection, natural frequencies and longitudinal stresses of beam are investigated. Results indicates using a beam of parabolically varying thickness with constant mass can decrease maximum deflection and stresses along the beam while increasing natural frequencies of the beam. The effect of moving mass inertia of moving load is found to be significant at high velocity.

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Capecchi, Danilo, Renato Maslani, and Fabrizio Vestroni. "Dynamical Behaviour of Hysteretic Systems Under Harmonic Forces." In ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0321.

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Abstract The study of the response of hysteretic systems to harmonic forces is formulated in a suitable phase space in which an originally multi-valued restoring force is represented by proper functions. The asymptotic response can thus be studied using an approach which derives from the Poincaré map concept and avoids approximate analytical techniques. On account of the peculiarity of the hysteretic systems considered, based on Masing rules, the dynamics are studied in a reduced dimension phase space using an efficient solution algorithm. Only the periodic response is taken into account, which is described by frequency response curves at various intensities of the excitation and by the frequency content. The results presented mainly refer to a two d.o.f. system with two linear frequencies in a ratio of 1:3 and 1:4. The response is highly complex with numerous peaks corresponding to higher harmonics. The range of frequency in which the effects of internal resonance are evident is much larger than the nonlinear elastic case. In particular the coupling produces a strong modification of the frequency response curves and of the oscillation shape of the structure.

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VANDERPLAATS, G., H. MIURA, H. CAI, and S. HANSEN. "Structural optimization using synthetic functions." In 30th Structures, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1989. http://dx.doi.org/10.2514/6.1989-1222.

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Malladi, Vijaya V. N. Sriram, Mohammad I. Albakri, Pablo A. Tarazaga, and Serkan Gugercin. "Data-Driven Modeling Techniques to Estimate Dispersion Relations of Structural Components." In ASME 2018 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/smasis2018-8135.

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Dispersion relations describe the frequency-dependent nature of elastic waves propagating in structures. Experimental determination of dispersion relations of structural components, such as the floor of a building, can be a tedious task, due to material inhomogeneity, complex boundary conditions, and the physical dimensions of the structure under test. In this work, data-driven modeling techniques are utilized to reconstruct dispersion relations over a predetermined frequency range. The feasibility of this approach is demonstrated on a one-dimensional beam where an exact solution of the dispersion relations is attainable. Frequency response functions of the beam are obtained numerically over the frequency range of 0–50kHz. Data-driven dynamical model, constructed by the vector fitting approach, is then deployed to develop a state-space model based on the simulated frequency response functions at 16 locations along the beam. This model is then utilized to construct dispersion relations of the structure through a series of numerical simulations. The techniques discussed in this paper are especially beneficial to such scenarios where it is neither possible to find analytical solutions to wave equations, nor it is feasible to measure dispersion curves experimentally. In the present work, actual experimental data is left for future work, but the complete framework is presented here.

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Kurdila, Andrew, Tong Sun, and Praveen Grama. "Affine fractal interpolation functions and wavelet-based finite elements." In 36th Structures, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1995. http://dx.doi.org/10.2514/6.1995-1410.

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Reports on the topic "Dynamical structure functions"

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Heymsfield, Ernie, and Jeb Tingle. State of the practice in pavement structural design/analysis codes relevant to airfield pavement design. Engineer Research and Development Center (U.S.), May 2021. http://dx.doi.org/10.21079/11681/40542.

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An airfield pavement structure is designed to support aircraft live loads for a specified pavement design life. Computer codes are available to assist the engineer in designing an airfield pavement structure. Pavement structural design is generally a function of five criteria: the pavement structural configuration, materials, the applied loading, ambient conditions, and how pavement failure is defined. The two typical types of pavement structures, rigid and flexible, provide load support in fundamentally different ways and develop different stress distributions at the pavement – base interface. Airfield pavement structural design is unique due to the large concentrated dynamic loads that a pavement structure endures to support aircraft movements. Aircraft live loads that accompany aircraft movements are characterized in terms of the load magnitude, load area (tire-pavement contact surface), aircraft speed, movement frequency, landing gear configuration, and wheel coverage. The typical methods used for pavement structural design can be categorized into three approaches: empirical methods, analytical (closed-form) solutions, and numerical (finite element analysis) approaches. This article examines computational approaches used for airfield pavement structural design to summarize the state-of-the-practice and to identify opportunities for future advancements. United States and non-U.S. airfield pavement structural codes are reviewed in this article considering their computational methodology and intrinsic qualities.

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Frauenfelder, H., J. R. Berendzen, A. Garcia, G. Gupta, G. A. Olah, T. C. Terwilliger, J. Trewhella, C. C. Wood, and W. H. Woodruff. Structure, dynamics, and function of biomolecules. Office of Scientific and Technical Information (OSTI), November 1998. http://dx.doi.org/10.2172/674922.

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Allen, Rosalind. Understanding Microbial Communities: Function, Structure and Dynamics. Fort Belvoir, VA: Defense Technical Information Center, January 2015. http://dx.doi.org/10.21236/ad1008795.

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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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Spielmann, Peter Hans. The application of psoralens to the study of DNA structure, function and dynamics. Office of Scientific and Technical Information (OSTI), April 1991. http://dx.doi.org/10.2172/10115059.

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Chu, Benjamin. Structures and Dynamics of Self-Assembled Organized Functional Polymers in Solution. Fort Belvoir, VA: Defense Technical Information Center, April 1998. http://dx.doi.org/10.21236/ada344334.

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Miller, Susan M. Structure/Function Analysis of Protein-Protein Interactions and Role of Dynamic Motions in Mercuric Ion Reductase. Office of Scientific and Technical Information (OSTI), May 2005. http://dx.doi.org/10.2172/840156.

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LaMar, Gerd N. Symposium on Oxygen Binding Heme Proteins Structure, Dynamics, Function and Genetics Held in Pacific Grove, California on 9-13 October 1988. Fort Belvoir, VA: Defense Technical Information Center, August 1989. http://dx.doi.org/10.21236/ada211811.

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