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Journal articles on the topic 'Dynamics'

Author: Grafiati

Published: 4 June 2021

Last updated: 21 December 2024

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1

f, f. "Designing for Dynamics in Dynamic Narrative Inquiry." Asian Qualitative Inquiry Association 2, no. 2 (December 31, 2023): 77–94. http://dx.doi.org/10.56428/aqij.2023.2.2.77.

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This article addresses the question “How is dynamic narrative inquiry dynamic?” To do that, I present principles of dynamic narrative inquiry, with a focus on the active authoring of meaning in research interactions as in everyday life. Drawing on prior examples of activity-meaning system research designs and dynamic narrative analyses, I illustrate how this authoring process involves creative use of language and literary forms to express and transform interactive meaning with diverse others and one’s self. A goal of the article is to increase researchers’ sensitivity to the fact that paying attention to how everyone communicates offers major and otherwise overlooked insights into what everyone is saying about the issue of interest.

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2

Raza, Md Shamim, Nitesh Kumar, and Sourav Poddar. "Combustor Characteristics under Dynamic Condition during Fuel – Air Mixingusing Computational Fluid Dynamics." Journal of Advances in Mechanical Engineering and Science 1, no. 1 (August 8, 2015): 20–33. http://dx.doi.org/10.18831/james.in/2015011003.

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3

STRADTMANN, Hinnerk. "1D14 Examples for European assessment of vehicle's dynamic running behaviour(Vehicles-Dynamics)." Proceedings of International Symposium on Seed-up and Service Technology for Railway and Maglev Systems : STECH 2015 (2015): _1D14–1_—_1D14–12_. http://dx.doi.org/10.1299/jsmestech.2015._1d14-1_.

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4

Feng, Zengming, Fuliang Suo, and Yabing Cheng. "58793 MESHING MECHANISM AND DYNAMIC ANALYSIS OF NEW SILENT CHAIN(Dynamics of Machine Components)." Proceedings of the Asian Conference on Multibody Dynamics 2010.5 (2010): _58793–1_—_58793–5_. http://dx.doi.org/10.1299/jsmeacmd.2010.5._58793-1_.

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5

Cho, J. I., J. Y. Kim, and T. W. Park. "62931 DYNAMIC ANALYSIS ON THE NEXT GENERATION HIGH-SPEED RAILWAY VEHICLE(Railroad System Dynamics)." Proceedings of the Asian Conference on Multibody Dynamics 2010.5 (2010): _62931–1_—_62931–6_. http://dx.doi.org/10.1299/jsmeacmd.2010.5._62931-1_.

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6

Sun, Ao, and Ting Qiang Yao. "Modeling and Analysis of Planar Multibody System Containing Deep Groove Ball Bearing with Slider-Crank Mechanism." Advanced Materials Research 753-755 (August 2013): 918–23. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.918.

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With the rotating machinery system developing toward high speed, high precision, and high reliability direction, ball bearing dynamic performance have a critical impact to dynamics characteristics of support system. Based on multibody dynamics theory and contact dynamics method,and considering the ball and ring raceway 3 d dynamic contact relationship, using ADAMS dynamics analysis software to establish the multibody dynamics model of crank slider mechanism containing ball bearing dynamic contact relationship.The simulation analysis of the dynamic performance of the ball bearing and the crank slider mechanism dynamics response, and the influence of dynamic performance for considering ball bearing rotating mechanical system dynamics analysis provides a reference method.The simulation analysts the influence of dynamic performance of the ball bearing to the crank slider mechanism dynamics response. It provides a reference method for rotating mechanical system dynamics analysis considering the dynamic performance of the ball bearing.

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7

Gough, Craig A., Takashi Gojobori, and Tadashi Imanishi. "1P563 Consistent dynamic phenomena in amyloidogenic forms of transthyretin : a molecular dynamics study(27. Molecular dynamics simulation,Poster Session,Abstract,Meeting Program of EABS & BSJ 2006)." Seibutsu Butsuri 46, supplement2 (2006): S287. http://dx.doi.org/10.2142/biophys.46.s287_3.

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8

Cilione, Pier Alberto Porceddu. "La Potenza della Musica: La Questione della Dynamis tra Musica e Filosofia." Philosophy of Music 74, no. 4 (December 30, 2018): 957–82. http://dx.doi.org/10.17990/rpf/2018_74_4_0957.

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This article examines the conceptual relationship between the notion of dynamics in music and the idea of dynamics as “power” and “potentiality” in metaphysics. What is implicit in both notions is the idea of “force”, as configured in a philosophical tradition from Aristotle to Nietzsche, Heidegger and Deleuze. It is no coincidence that the system of signs that, in music, indicates the intensity of sound, its strength and its expression, takes its name from this philosophical concept. What follows tries to understand in which sense the term dynamics, as a theory of force and potentiality, steps into the field of music. The Aristotelian concept of dynamis, Leibniz’s theory of vis activa and the Nietzschean “Will to Power” reveal their profound meaning when related to the specific dynamic ontology realized by music. Two contemporary musical examples, taken from flute works by Sciarrino and Hosokawa, show with particular evidence how to understand a metaphysical idea of musical dynamics.

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9

Kortelainen, Samuli, Antero Kutvonen, and Lauri Lättilä. "Technology Portfolio Dynamics." Journal of Innovation Management 1, no. 2 (December 31, 2013): 125–39. http://dx.doi.org/10.24840/2183-0606_001.002_0009.

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Innovations are significant source of competitive advantage for firms. They are also a major source of dynamics that forces firms to adapt their capabilities to sustain competitiveness. In this study we analyzed how firms manage their technological portfolio in mobile phone industry. Our first finding is that firms have focused differently their technology portfolios. Then we identified that most firms change their technology portfolio over time. And finally we conclude that firms in mobile phone industry have different levels of dynamics where some firms change their technology portfolio faster than others. This research identifies new challenges in dynamic capabilities research related to the appropriate level of dynamics in technology management. This information is crucial in practice in order to correctly manage the firm’s dynamic processes.

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10

Biyani, Manish, T. Aoyama, and K. Nishigaki. "1M1330 Solution structure dynamics of single-stranded oligonucleotides : Experiments and molecular dynamics." Seibutsu Butsuri 42, supplement2 (2002): S76. http://dx.doi.org/10.2142/biophys.42.s76_2.

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11

Mureithi, Njuki W. "Karman Wake Dynamics and Vortex Induced Vibration Control : A Nonlinear Dynamics Perspective." Proceedings of the Dynamics & Design Conference 2008 (2008): _B1–1_—_B1–6_. http://dx.doi.org/10.1299/jsmedmc.2008._b1-1_.

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12

HIDAI, MASATAKA, KENJIRO GODA, KATSUYUKI IWASAKI, and TAKAO WATANABE. "1D24 Coupled Simulation of Vehicle Dynamics and Aerodynamics for Train(Vehicles-Dynamics)." Proceedings of International Symposium on Seed-up and Service Technology for Railway and Maglev Systems : STECH 2015 (2015): _1D24–1_—_1D24–6_. http://dx.doi.org/10.1299/jsmestech.2015._1d24-1_.

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13

Schwab, A. L., and J. D. G. Kooijman. "58786 Controllability of a bicycle(Vehicle Dynamics & Control including Tire Dynamics)." Proceedings of the Asian Conference on Multibody Dynamics 2010.5 (2010): _58786–1_—_58786–7_. http://dx.doi.org/10.1299/jsmeacmd.2010.5._58786-1_.

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14

SATOH, Keita, Ryotaro OHKAWA, Hironori A. FUJII, Kenji UCHIYAMA, and Kazuhiro IIJIMA. "63695 STUDY ON FUNDAMENTAL DYNAMICS OF VERY LONG TETHER SYSTEM(Aerospace Dynamics)." Proceedings of the Asian Conference on Multibody Dynamics 2010.5 (2010): _63695–1_—_63695–7_. http://dx.doi.org/10.1299/jsmeacmd.2010.5._63695-1_.

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15

Yang, Yingrui. "Principles of Economic Externality Dynamics Economic Dynamics and the Standard Model (V)." Journal of Electrical Electronics Engineering 3, no. 4 (August 21, 2024): 01–13. http://dx.doi.org/10.33140/jeee.03.04.06.

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The present paper discusses the importance of economic externality and the economic phenomena involved. Section 1 draws on the framework of weak force theory in physics, we propose a new approach of dynamic analysis for economic externality. From a mesoscopic (intermediate scale) perspective, no distinction is made between the macro-demand and individual micro-buyers nor between the macro-supply and individual micro-sellers. Section 2 applies the isospin modeling method to construct two economic isospin models. One is between the achieving impulse and the fear-of-failure impulse, under the effect of economic externality. The other is between the market behavior and market residues, namely, market aftertaste. Section 3 discusses the microstructural properties of the market, including Dirac's equation and the market, Dirac γmatrix notation, and the chirality and spin structure of market components. Section 4 discusses the helical structural characteristics of supply chains, including CPT theorems, Penrose zigzag helical processes, and several modeling directions of economic externality and buyer-seller interactions (weak interactions). Section 5 discusses the economic externality and the electroweak model, including extensive externality, externality mediations with Weinberg rotations, and economic analysis using lepton weak currents, including the analysis of lepton neutral weak currents. Finally, Section 6 provides a general discussion on the standard model of economic dynamics.

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16

Pešková, V. "Dynamics of oak mycorrhizas." Journal of Forest Science 51, No. 6 (January 10, 2012): 259–67. http://dx.doi.org/10.17221/4562-jfs.

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A decline of macromycetes, especially of ectomycorrhizal species, has been described in the last decade in various parts of Europe. These changes are attributed to direct or indirect effects of air pollution. In Central Europe these changes correlate with visual damage of forest. Many ectomycorrhizal fungi seem to be very suitable bioindicators of the disturbance of forest ectotrophic stability. Stages of this disturbance can be linked directly to particular phases of impoverishment of ectomycorrhizal mycocoenoses. These conclusions have been obtained from long-term research on permanent plots (1,000–2,500 m<sup>2</sup>) in spruce and oak forests in the Czech Republic, but it seems that they are valid generally. For the quantification and study of mycorrhizal activity a special method has been developed and applied. The analyses of mycorrhizas from the same plots in the period 2000–2002 indicate large mycorrhizal dynamics. These data correlate with data obtained from a fruiting bodies survey. Both the percentage of ectomycorrhizal species and the ratio of active mycorrhizas are highly sensitive to outer impacts (air pollution, acidification, fertilization). Their decrease is in correlation with the strong defoliation of trees and can be used for the prediction of further development in comparable stands.

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17

Mukharlyamov, R. G., and Zh K. Kirgizbaev. "Modeling of dynamics processes and dynamics control." BULLETIN OF THE KARAGANDA UNIVERSITY-MATHEMATICS 114, no. 2 (June 28, 2024): 165–77. http://dx.doi.org/10.31489/2024m2/165-177.

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Equations and methods of classical mechanics are used to describe the dynamics of technical systems containing elements of various physical nature, planning and management tasks of production and economic objects. The direct use of known dynamics equations with indefinite multipliers leads to an increase in deviations from the constraint equations in the numerical solution. Common methods of constraint stabilization, known from publications, are not always effective. In the general formulation, the problem of constraint stabilization was considered as an inverse problem of dynamics and it requires the determination of Lagrange multipliers or control actions, in which holonomic and differential constraints are partial integrals of the equations of the dynamics of a closed system. The conditions of stability of the integral manifold determined by the constraint equations and stabilization of the constraint in the numerical solution of the dynamic equations were formulated.

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18

Leroy, Xavier, and Michel Mauny. "Dynamics in ML." Journal of Functional Programming 3, no. 4 (October 1993): 431–63. http://dx.doi.org/10.1017/s0956796800000848.

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AbstractObjects with dynamic types allow the integration of operations that essentially require runtime type-checking into statically-typed languages. This paper presents two extensions of the ML language with dynamics, based on our work on the CAML implementation of ML, and discusses their usefulness. The main novelty of this work is the combination of dynamics with polymorphism.

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19

Wu, Xiang, and Ling Feng Tang. "Review of Coupled Research for Mechanical Dynamics and Fluid Mechanics of Reciprocating Compressor." Applied Mechanics and Materials 327 (June 2013): 227–32. http://dx.doi.org/10.4028/www.scientific.net/amm.327.227.

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Research statuses of mechanical dynamics and fluid mechanics of a reciprocating compressor are reviewed respectively ,along with the presentation of coupled research for these two disciplines of a reciprocating compressor. Analyses for mechanical dynamics are focused on modal analysis and dynamic response analysis. Three methods can be adopted in dynamic response analysis,which are the combination of the formula derivation and finite element method, the combination of multi-rigid-body dynamics and finite element method , and thecombination of multi-flexible body dynamics and finite element method. Analytical models for fluid dynamics include 1-D computationalfluid dynamics model, 2-D computational fluid dynamics model and 3-D computational fluid dynamics model. In addition, limitations of researches for mechanical dynamics and fluid mechanics in a reciprocating compressor are also presented, as well as the prospect for the coupled research of two disciplines.

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20

Curtis-Jones, Alison. "Dynamic dichotomies: How can the body be a dynamic archive?" Dance, Movement & Spiritualities 10, no. 1 (October 1, 2023): 99–124. http://dx.doi.org/10.1386/dmas_00049_1.

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This article discusses the complexities around movement dynamics and how the term ‘dynamic archive’ is understood in dance. Drawing from Andre Lepecki’s ‘The body as archive’ (2010), Rudolf Laban and F. C. Lawrence’s Effort theory (1947) and a choreological perspective to investigate the complexities of dynamics as an embodied phenomenon, I discuss the body as a dynamic archive of embodied experience. This article provides debate about how dynamics are learnt and recalled for the purposes of re-staging and how movement dynamics are stored by the dancer as a dynamic archive.

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21

Risher, D. W., L. M. Schutte, and C. F. Runge. "The Use of Inverse Dynamics Solutions in Direct Dynamics Simulations." Journal of Biomechanical Engineering 119, no. 4 (November 1, 1997): 417–22. http://dx.doi.org/10.1115/1.2798288.

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Previous attempts to use inverse dynamics solutions in direct dynamics simulations have failed to replicate the input data of the inverse dynamics problem. Measurement and derivative estimation error, different inverse dynamics and direct dynamics models, and numerical integration error have all been suggested as possible causes of inverse dynamics simulation failure. However, using a biomechanical model of the type typically used in gait analysis applications for inverse dynamics calculations of joint moments, we produce a direct dynamics simulation that exactly matches the measured movement pattern used as input to the inverse dynamic problem. This example of successful inverse dynamics simulation demonstrates that although different inverse dynamics and direct dynamics models may lead to inverse dynamics simulation failure, measurement and derivative estimation error do not. In addition, inverse dynamics simulation failure due to numerical integration errors can be avoided. Further, we demonstrate that insufficient control signal dimensionality (i.e., freedom of the control signals to take on different “shapes”), a previously unrecognized cause of inverse dynamics simulation failure, will cause inverse dynamics simulation failure even with a perfect model and perfect data, regardless of sampling frequency.

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22

Wu, Jian-Bo, Shu-Jia Li, Hong Liu, Hu-Jun Qian, and Zhong-Yuan Lu. "Dynamics and reaction kinetics of coarse-grained bulk vitrimers: a molecular dynamics study." Physical Chemistry Chemical Physics 21, no. 24 (2019): 13258–67. http://dx.doi.org/10.1039/c9cp01766f.

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We used the hybrid molecular dynamics–Monte Carlo (MD–MC) algorithm to establish a molecular dynamics model that can accurately reflect bond exchange reactions, and reveal the intrinsic mechanism of the dynamic behavior of the vitrimer system.

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23

Slavgorodska, Maria, and Alexander Kyrychenko. "Structure and Dynamics of Pyrene-Labeled Poly(acrylic acid): Molecular Dynamics Simulation Study." Chemistry & Chemical Technology 14, no. 1 (February 20, 2020): 76–80. http://dx.doi.org/10.23939/chcht14.01.076.

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24

Park, Dongil, and Doohyung Kim. "Vibration Analysis of the Flexible Beam Using Dynamic Solver K_Sim." Journal of Advance Research in Mechanical & Civil Engineering (ISSN: 2208-2379) 2, no. 12 (December 31, 2015): 01–06. http://dx.doi.org/10.53555/nnmce.v2i12.324.

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We developed the dynamic solver including the pre-processor with GUI, kinematic/dynamic solver and the post-processor. This can support to analyze the flexible body dynamics as well as the rigid body dynamics. Because almost robot system has the multi bodies including some flexible bodies, multi flexible body dynamics is very important. In the paper, we carried out the vibration analysis of the flexible beam using the developed dynamic solver K_Sim and compared it to the commercial multi flexible body dynamic solver.

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25

Inagaki, Mizuho, Atsushi Kawamoto, Takanori Abekura, Atsushi Suzuki, Jan Ruebel, and Jens Starke. "63881 Coupling Analysis of Dynamics and Oil Film Lubrication on Rotor : Floating Bush Bearing System(Vehicle Dynamics & Control including Tire Dynamics)." Proceedings of the Asian Conference on Multibody Dynamics 2010.5 (2010): _63881–1_—_63881–9_. http://dx.doi.org/10.1299/jsmeacmd.2010.5._63881-1_.

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26

Kabra, Uma D., and Martin Jastroch. "Mitochondrial Dynamics and Insulin Secretion." International Journal of Molecular Sciences 24, no. 18 (September 7, 2023): 13782. http://dx.doi.org/10.3390/ijms241813782.

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Mitochondria are involved in the regulation of cellular energy metabolism, calcium homeostasis, and apoptosis. For mitochondrial quality control, dynamic processes, such as mitochondrial fission and fusion, are necessary to maintain shape and function. Disturbances of mitochondrial dynamics lead to dysfunctional mitochondria, which contribute to the development and progression of numerous diseases, including Type 2 Diabetes (T2D). Compelling evidence has been put forward that mitochondrial dynamics play a significant role in the metabolism-secretion coupling of pancreatic β cells. The disruption of mitochondrial dynamics is linked to defects in energy production and increased apoptosis, ultimately impairing insulin secretion and β cell death. This review provides an overview of molecular mechanisms controlling mitochondrial dynamics, their dysfunction in pancreatic β cells, and pharmaceutical agents targeting mitochondrial dynamic proteins, such as mitochondrial division inhibitor-1 (mdivi-1), dynasore, P110, and 15-oxospiramilactone (S3).

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27

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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28

Sugiyama, Ayumu, Tetsunori Yamamoto, Hidemi Nagao, Keigo Nishikawa, Nobutaka Numoto, Kunio Miki, and Yoshihiro Fukumori. "1P567 Molecular dynamics study of dynamical structure stability of giant hemoglobin from Oligobrachia mashikoi(27. Molecular dynamics simulation,Poster Session,Abstract,Meeting Program of EABS & BSJ 2006)." Seibutsu Butsuri 46, supplement2 (2006): S288. http://dx.doi.org/10.2142/biophys.46.s288_3.

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29

Deng, Xiaojun, Haitao Li, and Jun Lin. "1D35 The Dynamic Character of Air Spring and its Influence on the Bogie Bounce Mode(Vehicles-Dynamics)." Proceedings of International Symposium on Seed-up and Service Technology for Railway and Maglev Systems : STECH 2015 (2015): _1D35–1_—_1D35–6_. http://dx.doi.org/10.1299/jsmestech.2015._1d35-1_.

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30

Zhu, Zhiqiang. "Control Analysis of Propagation Dynamics on Networks." Journal of Physics: Conference Series 2224, no. 1 (April 1, 2022): 012092. http://dx.doi.org/10.1088/1742-6596/2224/1/012092.

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Abstract It is generally the dynamic behavior of multiple information in the network. Based on the principle of propagation dynamics and mathematical model, this paper simulates the dynamic process of information in the network, and analyzes the influence of network structure and propagation dynamics on the dynamic behavior of information in the network through the simulation results. By simulating the dynamic process of communication, we find that the location and release time of intervention information in the network will have an impact, and we can control the dynamic behavior of information in the network by controlling the location and release time of intervention information.

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31

Martinez-Vasquez, Adrian H., Rafael Castro-Linares, Abraham Efraím Rodríguez-Mata, and Hebertt Sira-Ramírez. "Spherical Inverted Pendulum on a Quadrotor UAV: A Flatness and Discontinuous Extended State Observer Approach." Machines 11, no. 6 (May 23, 2023): 578. http://dx.doi.org/10.3390/machines11060578.

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This article addresses the problem of balancing an inverted spherical pendulum on a quadrotor. The full dynamic model is obtained via the Euler-Lagrange formalism, where the dynamics of the pendulum is coupled to the dynamics of the quadrotor, taking as control inputs the torques associated with the yaw, roll, and pitch dynamics, and a control input for the vertical displacement in height. A trajectory tracking control scheme is proposed by means of an active disturbance rejection control based on a discontinuous extended state observer (ADRC-DESO) that allows controlling the system in the translational dynamics of the quadrotor including the rotational dynamics and the inverted pendulum dynamics. To address this problem, the dynamic model is linearized around an equilibrium point, taking into consideration that the system operates in close vicinity of the equilibrium points, thus considerably simplifying the dynamic model. Proving that the linear model is controllable and therefore differentiable flat, flat outputs are proposed around the displacements associated with the three cartesian axes of the Euclidean space, including a dynamic associated with the yaw dynamics of the quadrotor allowing to parameterize the full linear system. Simulation results as well as a convergence analysis validate the performance of the strategy.

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32

He, Chunyan, Zaigang Chen, Wanming Zhai, Jianzheng Jiang, and Kaiyun Wang. "A spatial dynamics model for heavy-haul electric locomotives considering the dynamic coupling effect of gear transmissions." Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 233, no. 9 (January 13, 2019): 961–73. http://dx.doi.org/10.1177/0954409718823138.

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A locomotive is usually powered by the electromagnetic torque which is transmitted from the traction motor to the wheelset by gear transmission. In order to investigate the dynamic coupling effects from the gear transmission subsystems on the entire locomotive dynamics system, a comprehensive spatial locomotive dynamics model that considers the dynamic coupling effect of the gear transmissions is developed based on the multibody dynamics theory. In this model, the moved Marker technique is employed to calculate the dynamic mesh force of the gear pairs through which more accurate time-varying gear mesh stiffness excitations could be imported, which is the core of this dynamic model. Then, the established locomotive dynamics model is validated by comparing with the experimental test results. Finally, the dynamic effects of the gear transmissions are revealed by comparing with the results from the traditional locomotive dynamics model without considering the dynamic excitations from the gear transmissions. The results indicate that the gear transmissions have negligible effects on the vibrations of the carbody and the bogie frame, and on the lateral vibrations of the motor and the wheelset. However, the gear transmissions have significant effects on the vertical and, in particular, the longitudinal vibrations of the motor and the wheelset. Thus, it is suggested that the dynamic effects of the gear transmissions are considered in the locomotive dynamics modeling, especially when the vibrations of the motors and the wheelsets are taken into account.

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33

Toxvaerd, Søren. "Discrete dynamics versus analytic dynamics." Journal of Chemical Physics 140, no. 4 (January 28, 2014): 044102. http://dx.doi.org/10.1063/1.4862173.

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34

ABRAMS, P. A. "‘Adaptive Dynamics’ vs. ‘adaptive dynamics’." Journal of Evolutionary Biology 18, no. 5 (August 25, 2005): 1162–65. http://dx.doi.org/10.1111/j.1420-9101.2004.00843.x.

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35

Alder, Berni J. "Slow dynamics by molecular dynamics." Physica A: Statistical Mechanics and its Applications 315, no. 1-2 (November 2002): 1–4. http://dx.doi.org/10.1016/s0378-4371(02)01220-7.

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36

Telem, Dory, Alexander Laufer, and Aviad Shapira. "Only Dynamics Can Absorb Dynamics." Journal of Construction Engineering and Management 132, no. 11 (November 2006): 1167–77. http://dx.doi.org/10.1061/(asce)0733-9364(2006)132:11(1167).

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37

Bae, Changwoo, Seungtae Oh, Jeonghoon Han, Youngsuk Nam, and Choongyeop Lee. "Water penetration dynamics through a Janus mesh during drop impact." Soft Matter 16, no. 26 (2020): 6072–81. http://dx.doi.org/10.1039/d0sm00567c.

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Drop impact on a Janus membrane shows two distinct penetration dynamics: dynamic pressure driven penetration dynamics on a shorter timescale and capillary pressure driven penetration dynamics on a longer timescale.

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38

Yamagami, Shigemasa, Tetta Hashimoto, and Koichi Inoue. "OS23-6 Thermo-Fluid Dynamics of Pulsating Heat Pipes for LED Lightings(Thermo-fluid dynamics(2),OS23 Thermo-fluid dynamics,FLUID AND THERMODYNAMICS)." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2015.14 (2015): 283. http://dx.doi.org/10.1299/jsmeatem.2015.14.283.

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39

Qin, Guodong, Huapeng Wu, and Aihong Ji. "Equivalent Dynamic Analysis of a Cable-Driven Snake Arm Maintainer." Applied Sciences 12, no. 15 (July 26, 2022): 7494. http://dx.doi.org/10.3390/app12157494.

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In this paper, we investigate a design method for a cable-driven snake arm maintainer (SAM) and its dynamics modelling. A SAM can provide redundant degrees of freedom and high structural stiffness, as well as high load capacity and a simplified structure ideal for various narrow and extreme working environments, such as nuclear power plants. However, their serial-parallel configuration and cable drive system make the dynamics of a SAM strongly coupled, which is not conducive to accurate control. In this paper, we propose an equivalent dynamics modelling method for the strongly coupled dynamic characteristics of each joint cable. The cable traction dynamics are forcibly decoupled using force analysis and joint torque equivalent transformation. Then, the forcibly equivalent dynamic model is obtained based on traditional series robot dynamic modelling methods (Lagrangian method, etc.). To verify the correctness of the equivalent dynamics, a simple model-based controller is established. In addition, a SAM prototype is produced to collect joint angles and cable forces at different trajectories. Finally, the results of the equivalent dynamics control simulation and the prototype tests demonstrate the validity of the SAM structural design and the equivalent dynamics model.

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40

Jin, Kun Feng, and Ting Qiang Yao. "Multi-Body Contact Dynamics Analysis of Angular Contact Ball Bearing." Applied Mechanics and Materials 444-445 (October 2013): 45–49. http://dx.doi.org/10.4028/www.scientific.net/amm.444-445.45.

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The 3-D multi-body contact dynamics simulation model was built by ADAMS base on the Hertz contact theory and multi-body contact dynamics, which considered the dynamics relationship among the ball, ring and cage of the bearing. Considering the clearancesfrictions and loads, results that contained deformation and displacement of the bearing, trajectory of the CM of the cage and the dynamic contact force were obtained by means of the 3-D multi-body contact dynamics model simulation and statics calculation. The outcomes got from two different methods are consistent, so the 3-D multi-body contact dynamics simulation model has the positive significance on dynamic design and engineering application of the bearing.

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Tian, Fu Yang, Yu Dao Li, Zhen Wang, and Fa De Li. "Efficient Recursive Dynamics and Real Time Simulation of Flexible Space Robots System." Advanced Materials Research 842 (November 2013): 546–52. http://dx.doi.org/10.4028/www.scientific.net/amr.842.546.

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As space robots gain more and more importance in space operations, it was becoming imperative to understand their distinctive dynamics. The dynamics model of the space flexible robots is very complex, and the differential equation derived from dynamics was solved difficultly and slowly. In this paper the efficient recursive O(n) dynamics algorithm of space flexible robots systems with rigid base and flexible manipulators was discussed, and the fast efficient integration method was used to solve this dynamics equation for real time simulation. Simulations results show that the dynamic modeling and fast efficient numerical integration techniques of flexible space robot proposed in this paper are very useful. Keyword: space robots;efficient dynamic; recursive; real time simulation

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Chen, Zhitian, Weijian Wen, and Weijun Yang. "Adaptive Visual Control for Robotic Manipulators with Consideration of Rigid-Body Dynamics and Joint-Motor Dynamics." Mathematics 12, no. 15 (August 2, 2024): 2413. http://dx.doi.org/10.3390/math12152413.

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A novel cascade visual control scheme is proposed to tailor for electrically driven robotic manipulators that operate under kinematic and dynamic uncertainties, utilizing an uncalibrated stationary camera. The proposed control approach incorporates adaptive weight radial basis function neural networks (RBFNNs) to learn the behaviors of the uncertain dynamics of the robot and the joint actuators. The controllers are designed to nullify the approximation error and mitigate unknown disturbances through an integrated robust adaptive mechanism. A major advantage of the proposed approach is that prior knowledge of the dynamics of the robotic manipulator and its actuator is no longer required. The controller autonomously assimilates the robot and actuator dynamics online, thereby obviating the need for fussy regression matrix derivation and advance dynamic measurement to establish the adaptive dynamic parameter update algorithm. The proposed scheme ensures closed-loop system stability, bounded system states, and the convergence of tracking errors to zero. Simulation results, employing a PUMA manipulator as a testbed, substantiate the viability of the proposed control policy.

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Yoon, Hyungchul, Kevin Han, and Youngjib Ham. "A Framework of Human-Motion Based Structural Dynamics Simulation Using Mobile Devices." Sensors 19, no. 15 (July 24, 2019): 3258. http://dx.doi.org/10.3390/s19153258.

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Due to the nature of real-world problems in civil engineering, students have had limited hands-on experiences in structural dynamics classes. To address this challenge, this paper aims to bring real-world problems in structural dynamics into classrooms through a new interactive learning tool that promotes physical interaction among students and enhances their engagement in classrooms. The main contribution is to develop and test a new interactive computing system that simulates structural dynamics by integrating a dynamic model of a structure with multimodal sensory data obtained from mobile devices. This framework involves integrating multiple physical components, estimating students’ motions, applying these motions as inputs to a structural model for structural dynamics, and providing students with an interactive response to observe how a given structure behaves. The mobile devices will capture dynamic movements of the students in real-time and take them as inputs to the dynamic model of the structure, which will virtually simulate structural dynamics affected by moving players. Each component of synchronizing the dynamic analysis with motion sensing is tested through case studies. The experimental results promise the potential to enable complex theoretical knowledge in structural dynamics to be more approachable, leading to more in-depth learning and memorable educational experiences in classrooms.

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Kim, Dave, and Namkug Ku. "Heave Compensation Dynamics for Offshore Drilling Operation." Journal of Marine Science and Engineering 9, no. 9 (September 6, 2021): 965. http://dx.doi.org/10.3390/jmse9090965.

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In this study, dynamic response analysis of a heave compensation system for offshore drilling operations was conducted based on multibody dynamics. The efficiency of the heave compensation system was computed using simulation techniques and virtually confirmed before being applied to drilling operations. The heave compensation system was installed on a semi-submersible and comprises several interconnected bodies with various joints. Therefore, a dynamics kernel based on multibody dynamics was developed to perform dynamic response analysis. The recursive Newton–Euler formulation was adopted to construct the equations of motion for the multibody system. Functions of the developed dynamics kernel were verified by comparing them with those from other studies. Hydrostatic force, linearized hydrodynamic force, and pneumatic and hydraulic control forces were considered the external forces acting on the platform of the semi-submersible rig and the heave compensation system. The dynamic simulation was performed for the heave compensation system of the semi-submersible rig for drilling operations up to 3600 m water depth. From the results of the simulation, the efficiency of the heave compensation system was evaluated to be approximately 96.7%.

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Zwetsloot, Alexander James, Gokhan Tut, and Anne Straube. "Measuring microtubule dynamics." Essays in Biochemistry 62, no. 6 (October 4, 2018): 725–35. http://dx.doi.org/10.1042/ebc20180035.

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Microtubules are key players in cellular self-organization, acting as structural scaffolds, cellular highways, force generators and signalling platforms. Microtubules are polar filaments that undergo dynamic instability, i.e. transition between phases of growth and shrinkage. This allows microtubules to explore the inner space of the cell, generate pushing and pulling forces and remodel themselves into arrays with different geometry and function such as the mitotic spindle. To do this, eukaryotic cells employ an arsenal of regulatory proteins to control microtubule dynamics spatially and temporally. Plants and microorganisms have developed secondary metabolites that perturb microtubule dynamics, many of which are in active use as cancer chemotherapeutics and anti-inflammatory drugs. Here, we summarize the methods used to visualize microtubules and to measure the parameters of dynamic instability to study both microtubule regulatory proteins and the action of small molecules interfering with microtubule assembly and/or disassembly.

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�� and Kirill Zuykov. "Modeling of Project Management Systems Dynamics." Russian Journal of Project Management 2, no. 4 (December 6, 2013): 25–36. http://dx.doi.org/10.12737/1960.

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Publications on modeling of project management systems dynamics are reviewed. Studies analyzed mainly consider dynamics of project management systems in the organizational environment of projects implementation. History of project management dynamics modeling is presented as well as classification of existing dynamic models. The review includes papers on the following groups of modeling methods: for optimal and sustainable project scheduling, for discrete event simulation and for macro-modeling based on system dynamics. Also analyzed are current trends of modeling methods development in reference to research of dynamics of project management systems.

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Chen, Yujiao, Binbin Pei, Jiuxing Zhang, Haojun Xu, and Chaozhe Wang. "Dynamic radar cross section similarity study based on dynamic time warping." Journal of Physics: Conference Series 2882, no. 1 (November 1, 2024): 012077. http://dx.doi.org/10.1088/1742-6596/2882/1/012077.

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Abstract Dynamic radar cross-section (RCS) represents the radar reflectance cross-section of an aircraft at different moments during flight and is a crucial criterion for evaluating the ability of a radar to detect an aircraft. In practice, it is challenging to construct an accurate 6-DOF dynamics model for the purpose of solving its dynamic RCS. Consequently, a 3-DOF dynamics model is employed for the analysis of dynamic RCS. This paper presents a methodology for the joint simulation of the dynamic RCS under two DOF models and subsequent comparison and analysis of the resulting sequence data via the dynamic time warping algorithm. It is also concluded that the dynamic RCS values calculated using the 3-DOF dynamics model can identify the target vehicle.

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Tang, Liang, Yi Zhang, and Hua Deng. "Dynamic Modeling and Analysis of Underactuated Prosthetic Hand." Advanced Materials Research 655-657 (January 2013): 400–407. http://dx.doi.org/10.4028/www.scientific.net/amr.655-657.400.

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Based on the kinematic equation of index finger, the trajectory space of fingertip is analyzed, and the structural parameters of underactuated prosthetic hand have been optimized by ADAMS, which compare the trajectory space with the index-finger. Using the modeling methods of Lagrange dynamics equation, the dynamic model is established for the three-joint underactuated prosthetic finger, whose kinematic and dynamic characteristics also are analyzed. Finally, by the construction of the virtual prototype and its introduction into ADAMS for the dynamics simulation, the correctness of kinematics and dynamics model is verified by the dynamics simulation of virtual prototype.

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Li, Dong, and Haym Benaroya. "Dynamics of Periodic and Near-Periodic Structures." Applied Mechanics Reviews 45, no. 11 (November 1, 1992): 447–59. http://dx.doi.org/10.1115/1.3119782.

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A brief review of linear waves and dynamic behavior of both periodic and near-periodic structures is presented in this paper. Emphasis is placed on a summary of more recent studies of engineering structures subject to wave motion and the effects of near-periodicity on their dynamic behavior. Conclusions drawn regarding linear waves and dynamics serve as a foundation for further investigation into the area of nonlinear waves and dynamics of these structures.

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Umeno, Akira, Ken-ichiro Shimokura, Takao Kakizaki, and Kenji Kogure. "Dynamic Modeling of Robot Force Control System and Its Application to a Parts Handling Task." Journal of Robotics and Mechatronics 6, no. 4 (August 20, 1994): 312–17. http://dx.doi.org/10.20965/jrm.1994.p0312.

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Dynamic modeling of robot force control systems is investigated in consideration of object dynamics. Several basic dynamics models for robot force control systems are proposed, and related stability issues are discussed. The stability of the force control system deteriorates severely when collocation mode resonance, primarily due to object dynamics, occurs near non-collocated mode resonance due to robot dynamics. The dynamic modeling is applied to a parts handling task, whose conditions focus on gripper force deviation. Manipulator end-effector trajectory planning using the trapezoidal acceleration profile as well as a gripper force control system design to suppress the force deviation are presented to achieve the task. The results obtained indicate that the force control system based on the dynamics models can satisfy the required task conditions.

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