Статті в журналах: "Structure and dynamic"

1

Altintas, Y., D. Montgomery, and E. Budak. "Dynamic Peripheral Milling of Flexible Structures." Journal of Engineering for Industry 114, no. 2 (May 1, 1992): 137–45. http://dx.doi.org/10.1115/1.2899766.

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A dynamic model for peripheral milling of very flexible plate type structures has been presented. The structural dynamics of a cantilevered plate structure is modelled at the tool-workpiece contact zone. The interaction of the very flexible plate structure and rigid end mill during dynamic milling is modelled. The variation in surface, chip thickness, and structural dynamics of the plate are considered in determining the milling forces. The proposed model provides surface finish form errors displacements at the tool-workpiece contact zone, and cutting forces for dynamic end milling operations.

2

Rackovsky, S., and Harold A. Scheraga. "The structure of protein dynamic space." Proceedings of the National Academy of Sciences 117, no. 33 (August 5, 2020): 19938–42. http://dx.doi.org/10.1073/pnas.2008873117.

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We use a bioinformatic description of amino acid dynamic properties, based on residue-specific average B factors, to construct a dynamics-based, large-scale description of a space of protein sequences. We examine the relationship between that space and an independently constructed, structure-based space comprising the same sequences. It is demonstrated that structure and dynamics are only moderately correlated. It is further shown that helical proteins fall into two classes with very different structure–dynamics relationships. We suggest that dynamics in the two helical classes are dominated by distinctly different modes––pseudo–one-dimensional, localized helical modes in one case, and pseudo–three-dimensional (3D) global modes in the other. Sheet/barrel and mixed-α/β proteins exhibit more conventional structure–dynamics relationships. It is found that the strongest correlation between structure and dynamic properties arises when the latter are represented by the sequence average of the dynamic index, which corresponds physically to the overall mobility of the protein. None of these results are accessible to bioinformatic methods hitherto available.

3

Wang, Ying, and Bin Sun. "A Computational Method for Dynamic Analysis of Deployable Structures." Shock and Vibration 2020 (June 27, 2020): 1–10. http://dx.doi.org/10.1155/2020/2971784.

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A computational method is developed to study the dynamics of lightweight deployable structures during the motion process without regard to damping. Theory and implementation strategy of the developed method are given in this study. As a case study, the motion process of a bar-joint structure and a ring array scissor-type structure was simulated under external dynamic loading. In order to verify the effectiveness of the method, the simulation results are compared with the results predicted by the authenticated multibody system dynamics and simulation program. It shows that the method is effective to dynamic analysis of deployable structures no matter the structures are rigid or elastic. Displacement, velocity, and acceleration for the entire deployable structures during the motion process can be computed, as well as strain if the deployable structure is elastic.

4

Nie, Chun-Xiao. "Hurst analysis of dynamic networks." Chaos: An Interdisciplinary Journal of Nonlinear Science 32, no. 2 (February 2022): 023130. http://dx.doi.org/10.1063/5.0070170.

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The sequence of network snapshots with time stamps is an effective tool for describing system dynamics. First, this article constructs a multifractal analysis of a snapshot network, in which the Hurst integral is used to describe the fractal structure hidden in structural dynamics. Second, we adjusted the network model and conducted comparative analysis to clarify the meaning of the Hurst exponent and found that the snapshot network usually includes multiple fractal structures, such as local and global fractal structures. Finally, we discussed the fractal structure of two real network datasets. We found that the real snapshot network also includes rich dynamics, which can be distinguished by the Hurst exponent. In particular, the dynamics of financial networks includes multifractal structures. This article provides a perspective to study the dynamic networks, thereby indirectly describing the fractal characteristics of complex system dynamics.

5

LIU, Rongqiang, Hongwei GUO, Xu yan HOU, and Zongquan DENG. "Dynamic equivalent continuum modeling of beamlike space lattice structure." Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM 2010.5 (2010): 486–91. http://dx.doi.org/10.1299/jsmeicam.2010.5.486.

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6

Wang, Ran, Hao Tian, Hong Liu Wang, Yang Zhao, Chen Yang, and Xin Bin Hou. "SSPS Dynamic Modeling and the Flexible Vibration Suppression." Applied Mechanics and Materials 799-800 (October 2015): 724–27. http://dx.doi.org/10.4028/www.scientific.net/amm.799-800.724.

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Space solar power satellite (SSPS) as a very large flexible spacecraft structure with complex configuration, large size and number of units bring the difficulties to dynamics modeling and analysis. Considering SSPS structure characteristics, equivalent strain and kinetic energy theory is adopted to establish the equivalent beam model of SSPS truss structure. The assumed mode method is adopted to describe the flexible body. The modal truncation method implements the dynamics system order reduction. Mixed coordinates method is adopted to establish the rigid-flexible coupled dynamic model. The established dynamic model can reflect dynamic characteristics of SSPS, achieve control requirements for SSPS and decrease the workload of simulation calculation. The independent modal space control (IMSC) method is proposed to active control research view of the large displacement, nonlinearity, low and dense mode frequency, light damping of flexible structures. Simulation results on flexible solar array show the effectiveness of the control method.

7

Lipták, Imrich, Alojz Kopáčik, Ján Erdélyi, and Peter Kyrinovič. "Dynamic Deformation Monitoring of Bridge Structure." Selected Scientific Papers - Journal of Civil Engineering 8, no. 2 (November 1, 2013): 13–20. http://dx.doi.org/10.2478/sspjce-2013-0014.

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Abstract Building structures are extremely sensitive at influence of outdoor conditions. Most often these are the influence of wind, sunshine, temperature changes of the surrounding and at least the influence of the own or other loading. According to resonance of the structure with the surrounding is coming to vibration and oscillation in relative high frequency interval (0.1 Hz - 100.0 Hz). These phenomena significantly affect the static and dynamic characteristics of structures, their safety and functionality. The paper brings example of monitoring these phenomena. The object of monitoring is the Danube Bridge Apollo in Bratislava, which main steel structure was measured by acceleration sensors with frequency up to10 Hz. The main topic of the paper is the analysis of dynamic behavior of structure using spectral analysis method. The usage of Fourier Transform is described, own frequencies and amplitudes of structure oscillation are calculated.

8

Chen, Qing, Oded Lachish, Sven Helmer, and Michael H. Böhlen. "Dynamic spanning trees for connectivity queries on fully-dynamic undirected graphs." Proceedings of the VLDB Endowment 15, no. 11 (July 2022): 3263–76. http://dx.doi.org/10.14778/3551793.3551868.

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Answering connectivity queries is fundamental to fully dynamic graphs where edges and vertices are inserted and deleted frequently. Existing work proposes data structures and algorithms with worst case guarantees. We propose a new data structure, the dynamic tree (D-tree), together with algorithms to construct and maintain it. The D-tree is the first data structure that scales to fully dynamic graphs with millions of vertices and edges and, on average, answers connectivity queries much faster than data structures with worst case guarantees.

9

Sachs, K., S. Itani, J. Fitzgerald, B. Schoeberl, G. P. Nolan, and C. J. Tomlin. "Single timepoint models of dynamic systems." Interface Focus 3, no. 4 (August 6, 2013): 20130019. http://dx.doi.org/10.1098/rsfs.2013.0019.

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Many interesting studies aimed at elucidating the connectivity structure of biomolecular pathways make use of abundance measurements, and employ statistical and information theoretic approaches to assess connectivities. These studies often do not address the effects of the dynamics of the underlying biological system, yet dynamics give rise to impactful issues such as timepoint selection and its effect on structure recovery. In this work, we study conditions for reliable retrieval of the connectivity structure of a dynamic system, and the impact of dynamics on structure-learning efforts. We encounter an unexpected problem not previously described in elucidating connectivity structure from dynamic systems, show how this confounds structure learning of the system and discuss possible approaches to overcome the confounding effect. Finally, we test our hypotheses on an accurate dynamic model of the IGF signalling pathway. We use two structure-learning methods at four time points to contrast the performance and robustness of those methods in terms of recovering correct connectivity.

10

Madani, B., F. Behnamfar, and H. Tajmir Riahi. "Dynamic response of structures subjected to pounding and structure–soil–structure interaction." Soil Dynamics and Earthquake Engineering 78 (November 2015): 46–60. http://dx.doi.org/10.1016/j.soildyn.2015.07.002.

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11

Brandt, Erik G., and Olle Edholm. "Dynamic Structure Factors From Lipid Membrane Molecular Dynamics Simulations." Biophysical Journal 96, no. 3 (February 2009): 354a. http://dx.doi.org/10.1016/j.bpj.2008.12.1784.

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12

Brandt, Erik G., and Olle Edholm. "Dynamic Structure Factors from Lipid Membrane Molecular Dynamics Simulations." Biophysical Journal 96, no. 5 (March 2009): 1828–38. http://dx.doi.org/10.1016/j.bpj.2008.11.044.

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13

Frans, Jeningsi, Ignatius Sinu, and Selfius P. N. Nainiti. "DINAMIKA KELOMPOK TANI DI DESA NETPALA KECAMATAN MOLLO UTARA KABUPATEN TIMOR TENGAH SELATAN." Buletin Ilmiah IMPAS 21, no. 2 (September 19, 2020): 102–10. http://dx.doi.org/10.35508/impas.v21i02.2624.

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This study aims to find out : (1) the dynamics of farmer groups in Netpala Village, North Mollo District, South Central Timor District, (2) the constraints faced by farmer group members in applying the dynamics of farmer group elements in Netpala Village, North Mollo Subdistrict South Central Timor District. The research method used is a survey method. The location of the sample was determined by purposive sampling in the village of Netpala. The research population is all farmers who are members of farmer groups in Netpala Village, and the sample of farmer was taken proportionate random sampling from 110 farmers from five farmer groups, therefor obtained 52 farmers. The analysis used in this study was a qualitative descriptive analysis and a Likert scale. The results showed the majority of respondents in productive age were 46 (88.46%) of formal education was low 22 (44.23%), non-formal education was classified as high where there were 44 (84.61%). The average dynamics level of the eight elements of farmer group dynamics in the Netpala village is dynamic (69%), the dynamics level of group goals is quite dynamic (62%), group structure is dynamic (88%), the structure of task functions is dynamic (100%) %), the structure of group development and group development is dynamic (67%), the compact group structure is dynamic (85%), the structure of the group atmosphere has the same score (50%), the pressure structure of the group is quite dynamic (44%), the structure group effectiveness is classified as dynamic (100%). Constraints faced with the eight elements of group dynamics, group goals (61%), group structure (11%), coaching and group development (30%), group cohesiveness (15%), group atmosphere (50%), group pressure (55%), group effectiveness (0%) or no feedback.

14

Zhang, Nan Nan, Ze Yu Weng, Yan Qin Zheng, and Yong Cai. "Study on Dynamic Design Technique of Machine Tools Structure Based on Energy Balance." Advanced Materials Research 139-141 (October 2010): 792–96. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.792.

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The energy balance of system is one of the basis for the dynamic design of machine tools structure. The paper applied finite element technique to machine tools dynamic design based on the energy balance, in view of finite element model of machine tools dynamics structure, mean squared deviation of various energy distribution was used to describe the structural dynamic characteristics quantitatively, and the method was combined with structural dynamic optimal theory to establish the improvemental direction. The author applied the technique to the structural dynamic characteristics analysis of a surface grinder, through the energy distribution analysis and quantitative analysis of structural dynamic characteristics of the grinding machine tools, the weak link of the grinding machine structure was found, which had instruction function for structure optimization of the grinding machine.The result proved this structure dynamics design technique had obvious superiority.

15

Lucà, Francescantonio, Marta Berardengo, Stefano Manzoni, Diego Scaccabarozzi, Marcello Vanali, and Loris Drago. "Experimental Evaluation of the Driving Parameters in Human–Structure Interaction." Vibration 5, no. 1 (February 18, 2022): 121–40. http://dx.doi.org/10.3390/vibration5010008.

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Many studies in the literature have already evidenced that pedestrians are able to change the dynamic properties of slender structures (e.g., footbridges and staircases). The aim of this paper is to analyse which pedestrians’ features mostly affect the structure behaviour, in order to properly account for them in a human–structure interaction problem, while disregarding the less relevant ones. This is accomplished by measuring the apparent mass (i.e., the frequency response function between the vibration of the structure at the contact point and the consequent force exerted by the pedestrian to the structure itself) curves of human bodies and coupling them to the dynamics of a slender structure. In more detail, this paper aims at analysing which factors must be accounted for among intra-subject variability (i.e., the dynamic behaviour of the same subject can change because it is characterised by a natural dispersion), inter-subject variability (i.e., different subjects have different dynamic behaviours) and the posture (i.e., the same subject changes posture during motion and this causes a change of his/her dynamic features). The influence of the apparent mass properties on the modal parameters of the hosting structure is addressed by means of a modal approach.

16

Alci, Musa. "New dynamic fuzzy structure and dynamic system identification." Soft Computing 10, no. 2 (April 13, 2005): 87–93. http://dx.doi.org/10.1007/s00500-004-0428-x.

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17

Thanh Danh, Bui, and Nguyen Van Cuong. "Research of methods for determining dynamic stress of the bars in the main structure of gantry crane installed on the cap of bridge pier to serve installation of Super-T girder." EUREKA: Physics and Engineering, no. 2 (March 22, 2023): 110–20. http://dx.doi.org/10.21303/2461-4262.2023.002673.

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The article presents briefly findings in researching methods for determining dynamic stress of the bars in the main structure of gantry crane installed on the cap of bridge pier to install and launch SUPER-T girder. In order to study the dynamic stresses in the bars of the main truss structure of the gantry, the author first had to build a dynamic model, using Matlap software to solve the problem of dynamics with two cases cargo lowering combination combines braking and moving of gantry with cargo to find out the rules and values of dynamic cable tension, dynamic inertial force ( time-varying force), then consider these forces is the external force acting on the main truss structure model of the gantry, from which the author calculates the value of internal force and stress of each bar corresponding to the value of dynamic cable tension and corresponding dynamic inertia force. with two adverse working cases of the gantry. Using Matlap software to calculate the author has obtained a graph of internal force, stress changes over time of each bar in the main truss steel structure of the gantry. The findings of the research provided methods for determining the dynamic stress of the bars in the main structure of gantry crane, pointed out values and rules of change of the dynamic stress of the bars in the main structure of gantry crane. The findings of the research may be used to calculate fatigue, life-span of the main steel structures as well as other parts of the gantry crane

18

Ovchinnikov, Igor G., and Nikita S. Bystrov. "THE USE OF THE DYNAMICS+ MODULE IN LIRA-CAD 2022 IN THE CALCULATION OF LARGE-SPAN BUILDINGS OR STRUCTURES FOR SEISMIC IMPACTS." Architecture, Construction, Transport, no. 2(104) (July 3, 2023): 38–45. http://dx.doi.org/10.31660/2782-232x-2023-2-38-45.

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The article discusses the main goals of dynamic calculation of buildings and structures. The authors present a method for calculating a large-span steel spatial structure for seismic impacts using the Dynamics+ module in LIRA-CAD 2022 software package. The paper analyses the sequence of loading formation in the calculation scheme. It considers the cases when the calculation of buildings and structures for seismic impact must be carried out using accelerograms, seismograms or velocigrams. As a result, the authors obtained a calculation model that allows analyzing the dynamic behavior of a large-span spatial structure in different periods. Subsequently, it will be relevant for studying the resistance of this structure to progressive collapse under seismic impact.

19

Gaile, Liga, and Ivars Radinsh. "Dynamic Response Of Tower Structures." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 2 (August 5, 2015): 85. http://dx.doi.org/10.17770/etr2011vol2.970.

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The present study focuses on the tower type structures response to the dynamic loads. The study analyzes the possible mode shapes regarding to tower structure. The estimation of mode shapes and their dependence from structural changes was made for an existing tower structure. To get an acceptable tower’s vibration level and avoid possibility of resonance effect from usual serviceability loads it was evaluated options to change natural frequencies of the structure. It is performed existing 36m high sightseeing tower dynamic analysis and proposed potential solutions to increase critical natural frequencies of the structure. In this study to obtain dynamic parameters of the sightseeing tower structure have been used finite element models and calculation techniques.

20

Khudainazarov, Sherzod, Tulkin Mavlanov, Talibjan Sabirjanov, and Burkhon Donayev. "Investigation of natural vibrations of thin-walled structures interacting with fluid." E3S Web of Conferences 402 (2023): 07011. http://dx.doi.org/10.1051/e3sconf/202340207011.

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The problem of studying the dynamics of elements of hydro-technical structures interacting with fluid is considered in the article. On the basis of Lagrange’s variational principles, the basic equations are obtained that characterize the dynamics of complex, multiply connected structurally non-homogeneous shell systems interacting with flowing fluid. Dynamic equations of a cylindrical shell are obtained. To determine the fluid pressure on the shell surface, a boundary value problem based on the laws of hydroelasticity was used. A software package was developed for studying the dynamic characteristics of complex, multiply connected structurally non-homogeneous shell structures, as well as programs for studying the dynamic characteristics of a composite structure using the orthogonal sweep method. Dynamic characteristics are determined for different levels of water filling.

21

S. Zagorulko, М. Gurbenko, and V. Miroshnik. "DETERMINATION NATURAL VIBRATIONS OF THE CONTINUED PLACED ON CURVE FLYOVER IN OPERATION." Bridges and tunnels: Theory, Research, Practice, no. 4 (June 2, 2015): 4–11. http://dx.doi.org/10.15802/bttrp2013/26621.

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Purpose. The study of the dynamic behavior, the definition of shapes and natural frequencies of the bridge structure, which were designed and built at a time when the dynamic calculation of complex structures carried by simplifying the design schemes. Methodology. To obtain accurate dynamic characteristics of the structure under the action of wheeled vehicles on the bridge crossing, it was decided to use the calculation method of mathematical modeling of structures, namely finite element method. Simulation and calculation of this structure was carried out in an environment of « Lira." Drafted model meets all geometric and linear characteristics of the real structure, which is confirmed by the results obtained and the values obtained in the tests that were conducted BSRL of Dynamics bridges. Findings. On the basis of the calculations it follows that all forms of free oscillations of the overpass are mutually connected with each other and thus share the eigen modes of structures on vertical, horizontal and torsionalonly conditionally. Accepted scheme of the finite element model flyover solves problems related not only to the dynamic characteristics, but also to determine the actual values of internal forces ( normal , transverse moments) in any given structural member when subjected to a single fixed force or group of forces. Originality. As is known, the current trends of domestic and foreign bridge construction associated with the widespread introduction of new highstrength materials, the improvement of the design and technological forms and methods of calculation. Changes these factors in structures resulted in a reduction of rigidity , increased sensitivity to their dynamic effects. In this regard (as well as the intensity and magnitude of load) increased the role of dynamic calculations, studies the dynamic behavior of the bridge structure. Practical value. Based on the results of mathematical modeling ofatypical superstructure of the bridge, it can be argued that the use of the finite element method is an effective way to determine the dynamic characteristics. Also positive difference of this method from others is the ability to visualize the results, allowing you to identify the characteristic features in the building.

22

Lipsicas, M., C. Straley, P. M. Costanzo, and R. F. Giese. "Static and dynamic structure of water in hydrated kaolinites. II. The dynamic structure." Journal of Colloid and Interface Science 107, no. 1 (September 1985): 221–30. http://dx.doi.org/10.1016/0021-9797(85)90165-1.

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23

MIMURA, Yuki, Kazunori IKEDA, Toshio HIRANO, and Masayuki ICHIMONJI. "620 A Study of Dynamic Damper Using Dynamic Similar Structure : Part3-Cylindrical Structure." Proceedings of Conference of Kansai Branch 2014.89 (2014): _6–20_. http://dx.doi.org/10.1299/jsmekansai.2014.89._6-20_.

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24

Morcillo, José D., Fabiola Angulo, and Carlos J. Franco. "Analyzing the Hydroelectricity Variability on Power Markets from a System Dynamics and Dynamic Systems Perspective: Seasonality and ENSO Phenomenon." Energies 13, no. 9 (May 9, 2020): 2381. http://dx.doi.org/10.3390/en13092381.

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In this paper, the variations in hydropower generation are addressed considering the seasonality and ENSO (El Niño-Southern Oscillation) episodes. The dynamic hypothesis and the stock-flow structure of the Colombian electricity market were analyzed. Moreover, its dynamic behavior was analyzed by using Dynamic Systems tools aimed at providing deep insight into the system. The MATLAB/Simulink model was used to evaluate the Colombian electricity market. Since we combine System Dynamics and Dynamic Systems, this methodology provides a novel insight and a deeper analysis compared with System Dynamics models and can be easily implemented by policymakers to suggest improvements in regulation or market structures. We also provide a detailed description of the Colombian electricity market dynamics under a broad range of demand growth rate scenarios inspired by the bifurcation and control theory of Dynamic Systems.

25

Ismael, G., M. López-Aenlle, F. Pelayo, and A. Fernández-Canteli. "Dynamic Behavior of Supported Structures from Free-Free Modal Tests Using Structural Dynamic Modification." Shock and Vibration 2018 (December 2, 2018): 1–14. http://dx.doi.org/10.1155/2018/3130292.

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Several structures are completely or partially manufactured in a factory and then transported to the final situation where they are going to be located. An accurate methodology to check the serviceability of the structure in the factory, previously to the transportation and final assembly, will diminish significantly the costs of validation of its dynamic behavior. The structural dynamic modification (SDM) can be used to predict the modal parameters of a supported structure from the experimental modal parameters corresponding to the same structure but tested in a configuration easy to reproduce in a factory, such as the free-free condition. However, the accuracy obtained with this technique depends on how well the boundary conditions modelled with the SDM replicate the real support conditions. In this paper the SDM theory is used to predict the modal parameters of a pinned-free beam, a cantilever beam, and a 3D steel beam structure from the experimental natural frequencies and mode shapes of the same structures tested in free-free configuration. The predictions provided by the SDM theory are validated by operational modal testing on the supported structures. It is shown how the aforementioned boundary conditions can be modelled with the SDM, and the accuracy provided by the technique is investigated.

26

SHIMIZU, Shinji, Yoshiaki KABAYA, Haruhisa SAKAMOTO, and Kenichi YAMASHITA. "3264 Identification method of dynamic characteristics of joints in jointed structure." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2011.6 (2011): _3264–1_—_3264–4_. http://dx.doi.org/10.1299/jsmelem.2011.6._3264-1_.

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27

Masala, Giovanni. "Dynamic dependence structure between energy markets and the Italian stock index." Investment Management and Financial Innovations 15, no. 2 (May 3, 2018): 60–67. http://dx.doi.org/10.21511/imfi.15(2).2018.06.

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The dependence structure between the main energy markets (such as crude oil, natural gas, and coal) and the main stock index plays a crucial role in the economy of a given country. As the dependence structure between these series is dramatically complex and it appears to change over time, time-varying dependence structure given by a class of dynamic copulas is taken into account.To this end, each pair of time series returns with a dynamic t-Student copula is modelled, which takes as input the time-varying correlation. The correlation evolves with the DCC(1,1) equation developed by Engle.The model is tested through a simulation by employing empirical data issued from the Italian Stock Market and the main connected energy markets. The author considers empirical distributions for each marginal series returns in order to focus on the dependence structure. The model’s parameters are estimated by maximization of the log-likelihood. Also evidence is found that the proposed model fits correctly, for each pair of series, the left tail dependence coefficient and it is then compared with a static copula dependence structure which clearly underperforms the number of joint extreme values at a given confidence level.

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Lun, Guan De, Yan Cong Liu, Peng Yi, and Yang Qu. "Facing the Dynamic Performance of Machine Tools for the Optimization of Column." Advanced Materials Research 421 (December 2011): 297–303. http://dx.doi.org/10.4028/www.scientific.net/amr.421.297.

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Structure Dynamic Design theory, including its core analysis of the results of the mechanical properties and structure optimization, in order to ensure the reliability of the structure, improve the use of equipment reliability, improve efficiency provides a strong theoretical support. By the method of variable analysis focuses on the reinforcement plate column, door-type column constrains represented by a single-ended cantilever dynamics with different structures, parameters of the relationship, and for YK2275 column structure is optimized, make the first three natural frequencies varying degrees of increase, an average of 10%.

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FOWLER, ANNA, VILAS MENON, and NICHOLAS A. HEARD. "DYNAMIC BAYESIAN CLUSTERING." Journal of Bioinformatics and Computational Biology 11, no. 05 (October 2013): 1342001. http://dx.doi.org/10.1142/s0219720013420018.

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Clusters of time series data may change location and memberships over time; in gene expression data, this occurs as groups of genes or samples respond differently to stimuli or experimental conditions at different times. In order to uncover this underlying temporal structure, we consider dynamic clusters with time-dependent parameters which split and merge over time, enabling cluster memberships to change. These interesting time-dependent structures are useful in understanding the development of organisms or complex organs, and could not be identified using traditional clustering methods. In cell cycle data, these time-dependent structure may provide links between genes and stages of the cell cycle, whilst in developmental data sets they may highlight key developmental transitions.

30

Shahabpoor, E., and A. Pavic. "Human-Structure Dynamic Interaction during Short-Distance Free Falls." Shock and Vibration 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/2108676.

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The dynamic interactions of falling human bodies with civil structures, regardless of their potentially critical effects, have sparsely been researched in contact biomechanics. The physical contact models suggested in the existing literature, particularly for short-distant falls in home settings, assume the human body falls on a “rigid” (not vibrating) ground. A similar assumption is usually made during laboratory-based fall tests, including force platforms. Based on observations from a set of pediatric head-first free fall tests, the present paper shows that the dynamics of the grounded force plate are not always negligible when doing fall test in a laboratory setting. By using a similar analogy for lightweight floor structures, it is shown that ignoring the dynamics of floors in the contact model can result in an up to 35% overestimation of the peak force experienced by a falling human. A nonlinear contact model is suggested, featuring an agent-based modelling approach, where the dynamics of the falling human and the impact object (force plate or a floor structure here) are each modelled using a single-degree-of-freedom model to simulate their dynamic interactions. The findings of this research can have wide applications in areas such as impact biomechanics and sports science.

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Fang, Ying Wu, De Wei Wu, Yan Jun Lu, Zhi Xiong Lei, and Yi Wang. "Study on Dynamic Behaviors of Thin Plate Structure by DBEM." Key Engineering Materials 353-358 (September 2007): 929–32. http://dx.doi.org/10.4028/www.scientific.net/kem.353-358.929.

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An analytical method of single field reducing-coupling on dynamic modeling is presented to analyze dynamic behaviors of thin plate structure based on dynamic fundamental solutions. In order to improve systematic modeling precision and efficiency, the method of single field reducing-coupling is introduced to deduce governing equations of thin plate structure dynamics by dynamic boundary element method (DBEM). The scale of matrix and generated time of coefficient matrixes are shortened greatly and dynamic behaviors of thin plate structure is obtained rapidly and accurately. The numerical examples and experiments show that the theory, established method and calculating program are feasible, and it has good precision and high efficiency.

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Mrozek, Agata, and Tomasz Strek. "Numerical Analysis of Dynamic Properties of an Auxetic Structure with Rotating Squares with Holes." Materials 15, no. 24 (December 7, 2022): 8712. http://dx.doi.org/10.3390/ma15248712.

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In this paper, a novel auxetic structure with rotating squares with holes is investigated. The unit cell of the structure consists of four units in the shape of a square with cut corners and holes. Finally, the structure represents a kind of modified auxetic structure made of rotating squares with holes or sheets of material with regularly arranged diamond and square cuts. Effective and dynamic properties of these structures depend on geometrical properties of the structure. The structures are characterized by an effective Poisson’s ratio from negative to positive values (from about minus one to about plus one). Numerical analysis is made for different geometrical features of the unit cells. The simulations enabled the determination of the dynamic characteristic of the analyzed structures using vibration transmission loss, transmissibility, and mechanical impedance. Numerical calculations were conducted using the finite element method. In the analyzed cases of cellular auxetic structures, a linear elasticity model of the material is assumed. The dynamic characteristic of modified rotating square structures is strongly dependent not only on frequency. The dynamic behavior could also be enhanced by adjusting the geometric parameter of the structure. Auxetic and non-auxetic structures show different static and dynamic properties. The dynamic properties of the analyzed structures were examined in order to determine the frequency ranges of dynamic loads for which the values of mechanical impedance and transmissibility are appropriate.

33

Zhao, Yu, Shu Fang Yuan, and Jian Wei Zhang. "Dynamic Analysis of Large-Scale Power House." Advanced Materials Research 446-449 (January 2012): 837–40. http://dx.doi.org/10.4028/www.scientific.net/amr.446-449.837.

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The underwater structure of power house is major structure under the dynamic loads of unit. The vibration problem is very common in operation. So the structures should have sufficient stiffness to resist dynamic loads of unit. This paper establishes three-dimensional finite element models with finite element analysis software—ANSYS. Dynamic characteristics of the power house and dynamic responses of structure under earthquake are analyzed. The results of the computation show that fluid-solid coupling may be ignored when studying dynamic characteristics of structures of the underground power house.

34

Zhou, Yao, Hao Pan, and Yuan Feng Wang. "Testing and Analysis on Subway Station Structure under Dynamic Vibration Loads." Advanced Materials Research 716 (July 2013): 648–52. http://dx.doi.org/10.4028/www.scientific.net/amr.716.648.

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Structure health monitoring system is used to monitor structural responses in real time. Dynamic performances of subway station structures are help to analyze seismic performances of the structures. Through structure health monitoring system of a subway station structure, dynamic responses of the subway station structure were tested under railway loads. The dynamic strain and internal forces of subway station structure are obtained. As restrained by earth, dynamic responses of the subway station structure is not significant change from most surface structures. Wavelet and multiscale analysis can be a powerful tool for multiple decomposition of potential fields data. Wavelet analysis can eliminate the noise for a clear data. The main train induced vibration frequency is also acquired through the method of wavelet analysis.

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Stakhova, Anzhelika, and Adrián Bekö. "SYMULACJA I MODELOWANIE KOMPUTEROWE DYNAMIKI KONSTRUKCJI MOSTÓW Z WYKORZYSTANIEM ANSYS." Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska 14, no. 1 (March 31, 2024): 53–56. http://dx.doi.org/10.35784/iapgos.5516.

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This study focuses on utilizing computer modeling and simulation techniques, specifically the ANSYS software, to analyze the dynamics of bridge structures. The primary objective was to study the vibrations of a riverbed metal bridge structure and determine their characteristics. The research involved theoretical dynamic calculations considering the design features of the bridge components and the materials used in their construction. The obtained results enabled the determination of resonance frequencies for the vibration modes. By utilizing the ANSYS software, a three-dimensional virtual model of the bridge structure was created, allowing for a detailed analysis of its dynamic behavior. The first three vibration modes of the riverbed metal bridge structure were calculated, and numerical results were obtained for six modes. The findings of this research have practical significance as they provide informed decision-making support during the construction, maintenance, and modernization of bridge structures. The study of bridge dynamics using advanced technologies contributes to enhancing the safety, reliability, and longevity of these vital infrastructure assets.

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Golob, Marjan. "NARX Deep Convolutional Fuzzy System for Modelling Nonlinear Dynamic Processes." Mathematics 11, no. 2 (January 6, 2023): 304. http://dx.doi.org/10.3390/math11020304.

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This paper presents a new approach for modelling nonlinear dynamic processes (NDP). It is based on a nonlinear autoregressive with exogenous (NARX) inputs model structure and a deep convolutional fuzzy system (DCFS). The DCFS is a hierarchical fuzzy structure, which can overcome the deficiency of general fuzzy systems when facing high dimensional data. For relieving the curse of dimensionality, as well as improving approximation performance of fuzzy models, we propose combining the NARX with the DCFS to provide a good approximation of the complex nonlinear dynamic behavior and a fast-training algorithm with ensured convergence. There are three NARX DCFS structures proposed, and the appropriate training algorithm is adapted. Evaluations were performed on a popular benchmark—Box and Jenkin’s gas furnace data set and the four nonlinear dynamic test systems. The experiments show that the proposed NARX DCFS method can be successfully used to identify nonlinear dynamic systems based on external dynamics structures and nonlinear static approximators.

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Qin, Zhaoye, Delin Cui, Shaoze Yan, and Fulei Chu. "Application of 2D finite element model for nonlinear dynamic analysis of clamp band joint." Journal of Vibration and Control 23, no. 9 (August 3, 2015): 1480–94. http://dx.doi.org/10.1177/1077546315594065.

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Due to frictional slippage between the joint components, clamp band joints may generate nonlinear stiffness and friction damping, which will affect the dynamics of the joint structures. Accurate modeling of the frictional behavior in clamp band joints is crucial for reliable estimation of the joint structure dynamics. While the finite element (FE) method is a powerful tool to analyze structures assembled with joints, it is computationally expensive and inefficient to perform transient analyses with three-dimensional (3D) FE models involving contact nonlinearity. In this paper, a two-dimensional (2D) FE model of much more efficiency is applied to investigate the dynamics of a clamp band jointed structure subjected to longitudinal base excitations. Prior to dynamic analyses, the sources of the model inaccuracy are determined, upon which a two-step model updating technique is proposed to improve the accuracy of the 2D model in accordance with the quasi-static test data. Then, based on the updated 2D model, the nonlinear influence of the clamp band joint on the dynamic response of the joint structure is investigated. Sine-sweep tests are carried out to validate the updated 2D FE model. The FE modeling and updating techniques proposed here can be applied to other types of structures of cyclic symmetry to develop accurate model with high computational efficiency.

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MATSUDA, Keishi, Masahiro WATANABE, and Kensuke HARA. "63852 Dynamic Behavior and Stability of a Flexible Cable Structure with Large Sag Subjected to Periodic Excitation(Flexible Multibody Dynamics)." Proceedings of the Asian Conference on Multibody Dynamics 2010.5 (2010): _63852–1_—_63852–9_. http://dx.doi.org/10.1299/jsmeacmd.2010.5._63852-1_.

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39

D’Ambrogio, Walter, and Annalisa Fregolent. "Use of experimental dynamic substructuring to predict the low frequency structural dynamics under different boundary conditions." Mathematics and Mechanics of Solids 23, no. 11 (August 28, 2017): 1444–55. http://dx.doi.org/10.1177/1081286517727147.

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Flexible structural components can be attached to the rest of the structure using different types of joints. For instance, this is the case of solar panels or array antennas for space applications that are joined to the body of the satellite. To predict the dynamic behaviour of such structures under different boundary conditions, such as additional constraints or appended structures, it is possible to start from the frequency response functions in free-free conditions. In this situation, any structure exhibits rigid body modes at zero frequency. To experimentally simulate free-free boundary conditions, flexible supports such as soft springs are typically used: with such arrangement, rigid body modes occur at low non-zero frequencies. Since a flexible structure exhibits the first flexible modes at very low frequencies, rigid body modes and flexible modes become coupled: therefore, experimental frequency response function measurements provide incorrect information about the low frequency dynamics of the free-free structure. To overcome this problem, substructure decoupling can be used, that allows us to identify the dynamics of a substructure (i.e. the free-free structure) after measuring the frequency response functions on the complete structure (i.e. the structure plus the supports) and from a dynamic model of the residual substructure (i.e. the supporting structure). Subsequently, the effect of additional boundary conditions can be predicted using a frequency response function condensation technique. The procedure is tested on a reduced scale model of a space solar panel.

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Sun, Zejun, Jinfang Sheng, Bin Wang, Aman Ullah, and FaizaRiaz Khawaja. "Identifying Communities in Dynamic Networks Using Information Dynamics." Entropy 22, no. 4 (April 9, 2020): 425. http://dx.doi.org/10.3390/e22040425.

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Identifying communities in dynamic networks is essential for exploring the latent network structures, understanding network functions, predicting network evolution, and discovering abnormal network events. Many dynamic community detection methods have been proposed from different viewpoints. However, identifying the community structure in dynamic networks is very challenging due to the difficulty of parameter tuning, high time complexity and detection accuracy decreasing as time slices increase. In this paper, we present a dynamic community detection framework based on information dynamics and develop a dynamic community detection algorithm called DCDID (dynamic community detection based on information dynamics), which uses a batch processing technique to incrementally uncover communities in dynamic networks. DCDID employs the information dynamics model to simulate the exchange of information among nodes and aims to improve the efficiency of community detection by filtering out the unchanged subgraph. To illustrate the effectiveness of DCDID, we extensively test it on synthetic and real-world dynamic networks, and the results demonstrate that the DCDID algorithm is superior to the representative methods in relation to the quality of dynamic community detection.

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Shimojo, Fuyuki, Shuji Munejiri, Masaru Aniya, and Kozo Hoshino. "Dynamic structure of molten CuI: Ab initio molecular-dynamics simulations." Journal of Non-Crystalline Solids 353, no. 32-40 (October 2007): 3505–9. http://dx.doi.org/10.1016/j.jnoncrysol.2007.05.105.

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42

Beskos, D. E. "Special issue on soil dynamics and dynamic soil-structure interaction." Engineering Analysis with Boundary Elements 8, no. 4 (August 1991): 166. http://dx.doi.org/10.1016/0955-7997(91)90009-i.

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43

Heitmann, Stewart, and Michael Breakspear. "Putting the “dynamic” back into dynamic functional connectivity." Network Neuroscience 2, no. 2 (June 2018): 150–74. http://dx.doi.org/10.1162/netn_a_00041.

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The study of fluctuations in time-resolved functional connectivity is a topic of substantial current interest. As the term “dynamic functional connectivity” implies, such fluctuations are believed to arise from dynamics in the neuronal systems generating these signals. While considerable activity currently attends to methodological and statistical issues regarding dynamic functional connectivity, less attention has been paid toward its candidate causes. Here, we review candidate scenarios for dynamic (functional) connectivity that arise in dynamical systems with two or more subsystems; generalized synchronization, itinerancy (a form of metastability), and multistability. Each of these scenarios arises under different configurations of local dynamics and intersystem coupling: We show how they generate time series data with nonlinear and/or nonstationary multivariate statistics. The key issue is that time series generated by coupled nonlinear systems contain a richer temporal structure than matched multivariate (linear) stochastic processes. In turn, this temporal structure yields many of the phenomena proposed as important to large-scale communication and computation in the brain, such as phase-amplitude coupling, complexity, and flexibility. The code for simulating these dynamics is available in a freeware software platform, the Brain Dynamics Toolbox.

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Benčat, Jan, Michal Tomko, and Michal Lukáč. "Dynamic analysis of the turbo – generator foundation structure." MATEC Web of Conferences 310 (2020): 00035. http://dx.doi.org/10.1051/matecconf/202031000035.

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This paper provides view of current trends in the field of testing and numerical analysis of dynamic loading structures. It describes what is the role of structure dynamic characteristic analysis in the management of the structures construction and maintenance in power plant industry. The main objective of this study is the dynamic analysis of power plant turbo– generator foundation structure (TGFS) of electrical industry operation. Main purpose of performed study in 2017 was to check dynamic stiffness TGFS after fifty years TG (100 MW) performance which then enabled to prepare relevant data for making design renovation and strengthening of the TGSF.

45

Burgin, Mark. "Triadic Structures in Interpersonal Communication." Information 9, no. 11 (November 16, 2018): 283. http://dx.doi.org/10.3390/info9110283.

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Communication, which is information exchange between systems, is one of the basic information processes. To better understand communication and develop more efficient communication tools, it is important to have adequate and concise, static and dynamic, structured models of communication. The principal goal of this paper is explication of the communication structures, formation of their adequate mathematical models and description of their dynamic interaction. Exploring communication in the context of structures and structural dynamics, we utilize the most fundamental structure in mathematics, nature and cognition, which is called a named set or a fundamental triad because this structure has been useful in a variety of areas including networks and networking, physics, information theory, mathematics, logic, database theory and practice, artificial intelligence, mathematical linguistics, epistemology and methodology of science, to mention but a few. In this paper, we apply the theory of named sets (fundamental triads) for description and analysis of interpersonal communication. As a result, we explicate and describe of various structural regularities of communication, many of which are triadic by their nature allowing more advanced and efficient organization of interpersonal communication.

46

Zhijian, Wang, Zhou Shujie, Yao Qinmei, Wang Yijia, and Pan Gang. "Dynamic Structure in a Four-strategy Game: Theory and Experiment." Contributions to Game Theory and Management 15 (2022): 365–85. http://dx.doi.org/10.21638/11701/spbu31.2022.26.

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Game dynamics theory, as any field of science, the consistency between theory and experiment is essential. In the past 10 years, important progress has been made in the merging of the theory and experiment in this field, in which dynamics cycle is the presentation. However, the achievement failed to eliminate the constraints of the Euclidean two-dimensional cycle. This paper uses a classic four-strategy game to study the dynamic structure (non-Euclidean superplane cycle). The consistency is in significant between the three ways: (1) analytical results from evolutionary dynamics equations, (2) agent-based simulation results from learning models and (3) laboratory results from human subjects game experiments. The consistency suggests that, the game dynamic structure could be quantitatively predictable, observable, and controllable in general.

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Muzy, Alexandre, and Bernard P. Zeigler. "Specification of dynamic structure discrete event systems using single point encapsulated control functions." International Journal of Modeling, Simulation, and Scientific Computing 05, no. 03 (May 5, 2014): 1450012. http://dx.doi.org/10.1142/s1793962314500123.

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In Discrete Event System Specification (DEVS), the dynamics of a network is constituted only by the dynamics of its basic components. The state of each component is fully encapsulated. Control in the network is fully decentralized to each component. At dynamic structure level, DEVS should permit the same level of decentralization. However, it is hard to ensure structure consistency while letting all components achieve structure changes. Besides, this solution can be complex to implement. To avoid these difficulties, usual dynamic structure approaches ensure structure consistency allowing structure changes to be done only by the network having newly added dynamics change capabilities. This is a safe and simple way to achieve dynamic structure. However, it should be possible to simply allow components of a network to modify the structure of their network, other components and/or their own structure — without having to modify the usual definition a DEVS network. In this manuscript, it is shown that a simple fully decentralized approach is possible while ensuring full modularity and structure consistency.

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Raman, Rajiva. "Chromatin is a Dynamic Structure." Resonance 27, no. 6 (June 2022): 983–1002. http://dx.doi.org/10.1007/s12045-022-1392-4.

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49

Coppens, Philip, Radosław Kamiński, and Mette S. Schmøkel. "OnRfactors for dynamic structure crystallography." Acta Crystallographica Section A Foundations of Crystallography 66, no. 5 (July 22, 2010): 626–28. http://dx.doi.org/10.1107/s0108767310021227.

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50

Sturm, K. "Dynamic Structure Factor: An Introduction." Zeitschrift für Naturforschung A 48, no. 1-2 (February 1, 1993): 233–42. http://dx.doi.org/10.1515/zna-1993-1-244.

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Abstract The doubly differential cross-section for weak inelastic scattering of waves or particles by manybody systems is derived in Born approximation and expressed in terms of the dynamic structure factor according to van Hove. The application of this very general scheme to scattering of neutrons, x-rays and high-energy electrons is discussed briefly. The dynamic structure factor, which is the space and time Fourier transform of the density-density correlation function, is a property of the many-body system independent of the external probe and carries information on the excitation spectrum of the system. The relation of the electronic structure factor to the density-density response function defined in linear-response theory is shown using the fluctuation-dissipation theorem. This is important for calculations, since the response function can be calculated approximately from the independent-particle response function in self-consistent field approximations, such as the random-phase approximation or the local-density approximation of the density functional theory. Since the density-density response function also determines the dielectric function, the dynamic structure can be expressed by the dielectric function.

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