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Journal articles on the topic 'Substructure'

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1

Chatzimarkou, Eirinaios, and Constantine Michailides. "A Comparative Study of Breaking Wave Loads on Cylindrical and Conical Substructures." Water 13, no. 7 (2021): 924. http://dx.doi.org/10.3390/w13070924.

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In the present paper, a comparative study of different cylindrical and conical substructures was performed under breaking wave loading with the open-source Computational Fluid Dynamics (CFD) package OpenFoam capable of the development of a numerical wave tank (NWT) with the use of Reynolds-Averaged Navier–Stokes (RANS) equations, the k-ω Shear Stress Transport (k-ω SST) turbulence model, and the volume of fluid (VOF) method. The validity of the NWT was verified with relevant experimental data. Then, through the application of the present numerical model, the distributions of dynamic pressure a
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2

Weng, Shun, Hong-Ping Zhu, Yong Xia, Ling Ye, and Xian-Yan Hu. "Construction of Stiffness and Flexibility for Substructure-Based Model Updating." Mathematical Problems in Engineering 2013 (2013): 1–14. http://dx.doi.org/10.1155/2013/706798.

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In substructuring methods, the substructures are independently analyzed under free-free conditions. For a free-free substructure, its stiffness matrix is singular and rank deficient due to rigid body motion. The variables associated with the inverse of the stiffness matrix are not easy to be accurately determined in the usual manner. This study expands on the previous research on the substructuring methods by taking a deeper look at the analysis of a free-free substructure. A well-conditioned stiffness matrix is constructed for the analysis of a free-free structure. Some difficulties associate
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3

Mei, Liu, Akira Mita, and Jin Zhou. "A Substructural Damage Identification Approach for Shear Structure Based on Changes in the First AR Model Coefficient Matrix." Journal of Structures 2015 (June 16, 2015): 1–16. http://dx.doi.org/10.1155/2015/976349.

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A substructural damage identification approach based on changes in the first AR model coefficient matrix is proposed in this paper to identify structural damage including its location and severity. Firstly, a substructure approach is adopted in the procedure to divide a complete structure into several substructures in order to significantly reduce the number of unknown parameters for each substructure so that damage identification processes can be independently conducted on each substructure. To establish a relation between changes in AR model coefficients and structural damage for each substr
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4

Gutierrez-Urrutia, Ivan, and Dierk Raabe. "Study of Deformation Twinning and Planar Slip in a TWIP Steel by Electron Channeling Contrast Imaging in a SEM." Materials Science Forum 702-703 (December 2011): 523–29. http://dx.doi.org/10.4028/www.scientific.net/msf.702-703.523.

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We study the dislocation and twin substructures in a high manganese twinning-induced-plasticity steel (TWIP) by means of electron channeling contrast imaging. At low strain (true strain below 0.1) the dislocation substructure shows strong orientation dependence. It consists of dislocation cells and planar dislocation arrangements. This dislocation substructure is replaced by a complex dislocation/twin substructure at high strain (true strain of 0.3-0.4). The twin substructure also shows strong orientation dependence. We identify three types of dislocation/twin substructures. Two of these subst
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5

Turner, G. L., M. G. Milsted, and P. Hanks. "The Adaptation of Kron’s Method for Use With Large Finite-Element Models." Journal of Vibration and Acoustics 108, no. 4 (1986): 405–10. http://dx.doi.org/10.1115/1.3269363.

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Kron’s method of dynamic substructure coupling is modified and extended to a form which is well suited for use with large finite-element substructure models. It is shown how both mass condensation and modal truncation can be applied at the substructure level in a manner compatible with the Kron coupling procedure. Either master or slave freedoms may be used as coupling coordinates in the system model, thereby allowing complete flexibility at the substructure analysis stage and in particular, allowing the use of automatic master selection procedures. Substructures may be coupled either directly
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6

Krywult, Janusz. "Luminosity Function of Galaxies in Substructures of Galaxy Clusters." Proceedings of the International Astronomical Union 2, S235 (2006): 217. http://dx.doi.org/10.1017/s1743921306006235.

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AbstractThe analysis of the R-band luminosity function of galaxies in substructures of 21 Abell clusters shows that the characteristic magnitude M* for dominant substructure is brighter than in the second substructure and the magnitude gap between two brightest galaxies in dominant substructure is larger than in the second one.
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7

Vlahopoulos, Nickolas, Sungmin Lee, and Jonmarcos Diaz. "A hybrid formulation for determining the input power in a stiffened plate over a wide frequency range." Journal of the Acoustical Society of America 155, no. 3_Supplement (2024): A142. http://dx.doi.org/10.1121/10.0027094.

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A hybrid analytical/numerical formulation is presented for determining the input power in a stiffened plate over a wide frequency range. A Component Mode Synthesis (CMS) approach is used for developing the hybrid formulation. The structure is divided into a local substructure in the vicinity of the excitation and non-local substructures representing the remaining system. It is considered that the excitation is applied at a small number of discrete locations, therefore the local substructure is a small portion of the overall system. The computational efficiency originates from using an analytic
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8

Wang, Binbin, Jingze Liu, Zhifu Cao, Dahai Zhang, and Dong Jiang. "A Multiple and Multi-Level Substructure Method for the Dynamics of Complex Structures." Applied Sciences 11, no. 12 (2021): 5570. http://dx.doi.org/10.3390/app11125570.

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Based on the fixed interface component mode synthesis, a multiple and multi-level substructure method for the modeling of complex structures is proposed in this paper. Firstly, the residual structure is selected according to the structural characteristics of the assembled complex structure. Secondly, according to the assembly relationship, the parts assembled with the residual structure are divided into a group of substructures, which are named the first-level substructure, the parts assembled with the first-level substructure are divided into a second-level substructure, and consequently the
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9

Tang, Yanni, Zhuoxing Zhang, Kaiqi Zhao, Lanting Fang, Zhenhua Li, and Wu Chen. "Substructure-Aware Log Anomaly Detection." Proceedings of the VLDB Endowment 18, no. 2 (2024): 213–25. https://doi.org/10.14778/3705829.3705840.

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System logs, recording critical information about system operations, serve as indispensable tools for system anomaly detection. Graph-based methods have demonstrated superior performance compared to other methods in capturing the interdependencies of log events. However, existing methods often neglect the complex substructure patterns of nodes within log graphs, making it challenging to capture the subtle alteration in event type, structure, and the location of exceptions that indicate node anomalies. To address this limitation, this paper proposes a novel framework called Substructure-aware L
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10

Wang, Tao, Bin Wu, and Jian Zhang. "Online Identification with Least Square Method for Pseudo-Dynamic Tests." Advanced Materials Research 250-253 (May 2011): 2455–59. http://dx.doi.org/10.4028/www.scientific.net/amr.250-253.2455.

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Numerical substructures adopt predetermined hysteretic models for conventional substructure testing (CST). It is difficult to achieve accurate results in CST due to errors from modelling of numerial substructures. To diminish the negative effect caused by the assumed restoring model, online identification with least square method using experimental data was adopted to update the model of numerical substructure. The effectiveness of least square method are verified with pseudo-dynamic substructure testing for single story frame with a buckling-restrained brace. The results indicate that the on-
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11

Lee, Eun-Taik, and Hee-Chang Eun. "A Model-Based Substructuring Method for Local Damage Detection of Structure." Shock and Vibration 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/390769.

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It is impractical to collect the full set of data in finite element model for investigating the structural performance. This study presents a model-based substructuring method to examine it by the data measured at a few positions. Dividing a global structure into several substructures and regarding the frequency response functions (FRFs) measured at the interfaces between the adjacent substructures as the constraints, the constraint forces at the substructure nodes are calculated to decide the resultant responses. The damage-expected substructure is traced by the distribution curve of constrai
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12

Fu, Tianfan, Cao Xiao, and Jimeng Sun. "CORE: Automatic Molecule Optimization Using Copy & Refine Strategy." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 01 (2020): 638–45. http://dx.doi.org/10.1609/aaai.v34i01.5404.

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Molecule optimization is about generating molecule Y with more desirable properties based on an input molecule X. The state-of-the-art approaches partition the molecules into a large set of substructures S and grow the new molecule structure by iteratively predicting which substructure from S to add. However, since the set of available substructures S is large, such an iterative prediction task is often inaccurate especially for substructures that are infrequent in the training data. To address this challenge, we propose a new generating strategy called “Copy&Refine” (CORE), where at each
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13

Yang, Dabin, Litai Sun, Hao Wang, Lei Liu, Mingjin Li, and Xiangyi Sun. "A Structural Configuration with Separate Substructures towards Reducing the Seismic Damage of Spatial Structures with Rectangular Plan." Shock and Vibration 2020 (October 13, 2020): 1–13. http://dx.doi.org/10.1155/2020/8880747.

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Seismic damage of spatial structures of rectangular plan with RC substructures was observed in several earthquakes, especially in the RC substructures. In order to reduce the seismic damage potential, a new structural configuration of spatial structure of rectangular plan is proposed, the substructures of which are composed of the steel substructure and the RC substructure. The latter only bears the vertical load of roof by the arrangement of horizontal sliding bearings between the roof and the RC substructure. The pushover analyses are performed on a steel braced frame and an RC frame with si
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14

Wan Iskandar Mirza, W. I. I., M. N. Abdul Rani, M. A. Yunus, R. Omar, and M. S. Mohd Zin. "Alternative scheme for frequency response function measurement of experimental-analytical dynamic substructuring." Journal of Mechanical Engineering and Sciences 13, no. 2 (2019): 4946–57. http://dx.doi.org/10.15282/jmes.13.2.2019.13.0410.

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The accuracy of the predicted dynamic behaviour of an assembled structure using the frequency based substructuring (FBS) method is often found to be diverged from the experimental counterparts. The divergence which has become the paramount concern and major issue for structural dynamicists is because of the unreliable experimental FRF data of the interfaces of substructures, arising from the limited resources of appropriate excitation points and accelerometer attachments in the vicinity of the interfaces. This paper presents an alternative scheme for FRF measurement of the experimental FRF dat
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15

Trischkina, L. I., T. V. Cherkasova, A. A. Klopotov, A. I. Potekaev, and V. V. Kulagina. "Influence of Composition on the Evolution of Dislocation Substructure in the Low-Stability State Polycrystalline Cu-Al Alloys under Plastic Deformation." Izvestiya of Altai State University, no. 1(117) (March 17, 2021): 58–63. http://dx.doi.org/10.14258/izvasu(2021)1-09.

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New concepts of dislocation physics of plasticity and strength are considered using quantitative methods of transmission diffraction electron microscopy. New concepts of dislocation physics of plasticity and strength are considered using quantitative methods of transmission diffraction electron microscopy. The analysis of changes in the parameters of the dislocation substructure (DSS) is given on the example of alloys Cu-0.5 and 14 аt. % Al and the influence of these parameters on the change in the substructure of the material at a temperature T=293 K is considered. It is shown that at each st
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16

Holl, Helmut J. "A Modal-Based Substructure Method Applied to Nonlinear Rotordynamic Systems." International Journal of Rotating Machinery 2009 (2009): 1–8. http://dx.doi.org/10.1155/2009/313526.

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The discretisation of rotordynamic systems usually results in a high number of coordinates, so the computation of the solution of the equations of motion is very time consuming. An efficient semianalytic time-integration method combined with a substructure technique is given, which accounts for nonsymmetric matrices and local nonlinearities. The partitioning of the equation of motion into two substructures is performed. Symmetric and linear background systems are defined for each substructure. The excitation of the substructure comes from the given excitation force, the nonlinear restoring for
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17

Craig, R. R. "Substructure Methods in Vibration." Journal of Mechanical Design 117, B (1995): 207–13. http://dx.doi.org/10.1115/1.2836458.

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When the response of a structural system to dynamic excitation must be analyzed, a substructure coupling method (or component-mode synthesis method) is frequently employed to reduce the order of the finite element model of the structure. This paper reviews procedures used to formulate component modes for substructures and to assemble substructure models to form reduced-order models of the original system. A brief literature survey covering several applications of substructure coupling is also presented.
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18

Craig, R. R. "Substructure Methods in Vibration." Journal of Vibration and Acoustics 117, B (1995): 207–13. http://dx.doi.org/10.1115/1.2838665.

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When the response of a structural system to dynamic excitation must be analyzed, a substructure coupling method (or component-mode synthesis method) is frequently employed to reduce the order of the finite element model of the structure. This paper reviews procedures used to formulate component modes for substructures and to assemble substructure models to form reduced-order models of the original system. A brief literature survey covering several applications of substructure coupling is also presented.
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19

Su, Jintao, and Bangdong Wang. "Research Progress of Synthesis and Modification Methods Based on Dynamic Substructures." Shock and Vibration 2020 (March 9, 2020): 1–19. http://dx.doi.org/10.1155/2020/6475716.

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In the process of model modification of large and complex structures, substructure synthesis method and modal reduction method have been widely used, but there are still some difficulties in precision control and engineering application in the process of model updating. In order to better study the dynamic response of the vibration substructure, the synthesis and correction method of the classical dynamic substructure is described in this paper, which provides a new idea for further engineering development. In the aspect of substructure synthesis method, the modal reduction of substructures, t
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20

Bao, Xin, Jingbo Liu, Dongyang Wang, Shutao Li, Fei Wang, and Xiaofeng Wang. "Modification Research of the Internal Substructure Method for Seismic Wave Input in Deep Underground Structure-Soil Systems." Shock and Vibration 2019 (August 19, 2019): 1–13. http://dx.doi.org/10.1155/2019/5926410.

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A new internal substructure method for seismic wave input in soil-structure systems was recently proposed. This method simplifies the calculation of equivalent input seismic loads and avoids the participation of artificial boundaries in the process of seismic wave input. However, in previous research and applications, the internal substructures are usually intercepted down from the free surface, which forms large substructures and increases the computational effort for data management on the substructure nodes, especially for deep underground structures. In this study, the internal substructur
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21

Lee, Dooho. "Reconstruction of Substructural Transfer Functions with Operational Responses Using Deep Learning Approach." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 267, no. 1 (2023): 334–37. http://dx.doi.org/10.3397/no_2023_0079.

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This study aims to develop an identification method of substructural FRFs without disassembling the whole system into substructures by measuring operational responses at input and target points. To identify the FRFs between input and target points in a substructure, the relationship of operational responses in the whole system is re-formulated. Then, by measuring operational responses, the FRFs can be identified by a data-driven approach. Deep learning neural network models are introduced to reconstruct the transfer function. To validate the proposed formulation, a test structure that consists
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22

Mazher Qurashi, Saqib, Muhammad Gulzar, Rani Sumaira Kanwal, Dilruba Akter, and Muhammad Shawaiz Safdar. "A Novel Characterization of Fuzzy Soft Substructures in Quantales Theory." Complexity 2023 (May 5, 2023): 1–26. http://dx.doi.org/10.1155/2023/6087990.

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In this paper, we use an algebraic structure quantale and define the idea of fuzzy soft substructures as a generalization of fuzzy substructures in quantale. These fuzzy soft substructures include fuzzy soft subquantales, fuzzy soft ideals, fuzzy soft prime ideals, fuzzy soft semiprime ideals, and fuzzy soft primary ideals. Furthermore, different characterizations of fuzzy soft substructures in quantales are introduced. Moreover, we extend this ideology to investigate that for each fuzzy soft substructure in quantale, there exists an α-soft substructure in quantales. These fuzzy soft subquanta
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23

Cintioli, Patrizio. "Cone Avoidance of Some Turing Degrees." Journal of Mathematics Research 9, no. 4 (2017): 69. http://dx.doi.org/10.5539/jmr.v9n4p69.

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We study the cone avoidance and the upper cone avoidance of two substructures of m-introimmune Turing degrees. We show that the substructure of the m-introimmune Turing degrees satisfies the cone avoidance property, and that the substructure of the computably enumerable m-introimmune Turing degrees satisfies the upper cone avoidance property.
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24

Koneva, Nina, Ludmila Trishkina, Marina Fedorischeva, and Eduard Kozlov. "Microband Dislocation Substructure: Formation and Evolution with Deformation." Advanced Materials Research 1013 (October 2014): 67–71. http://dx.doi.org/10.4028/www.scientific.net/amr.1013.67.

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In the paper on a base of electron microscopy study a dynamic of evolution of dislocation substructures (DSS) arising on a stage large plastic deformation is examined. Microband dislocation substructure is a foundation of this consideration. Formation and evolution at deformation of this substructure for Cu-Al and Cu-Mn alloys are considered.
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25

Wen, Kun Long, and Hou Jun Qi. "Predicting Tool Point FRF by RCSA in High Speed Milling." Advanced Materials Research 1006-1007 (August 2014): 398–402. http://dx.doi.org/10.4028/www.scientific.net/amr.1006-1007.398.

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Tool point frequency response function (FRF) is the key parameters to predict the milling stability in high-speed milling. Receptance coupling substructure analysis (RCSA) is described to predict the tool point FRF. The major difficulties in RCSA are the identification of joint connection parameters and the obtaining of FRFs of substructure. This paper separation of the milling system into three substructures: the machine-spindle-holder taper, the extended holder-tool shank, and the tool extended portion. Develop the connection model compose of linear and rotational springs and dampers. Determ
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26

Yang, Xiao Ming, and Ya Mei Mi. "Damage Identification of Benchmark Structure Using ANN." Applied Mechanics and Materials 152-154 (January 2012): 796–801. http://dx.doi.org/10.4028/www.scientific.net/amm.152-154.796.

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This paper presents an application of artificial neural network for damage identification of benchmark structure that is developed by the ASCE Task Group on Structure Health Monitoring. Many SHM studies apply their methods to the benchmark structure and test their methods. The benchmark structure is divided to three substructures such as brace, column and beam, so the first stage of damage identification is that the damage substructure is identified and the second stage of damage identification is that damage location in substructure is identified. When the damage identification is numerical s
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27

Liu, Kun, Siu-Seong Law, and Xin-Qun Zhu. "Substructural Condition Assessment Based on Force Identification and Interface Force Sensitivity." International Journal of Structural Stability and Dynamics 15, no. 02 (2015): 1450046. http://dx.doi.org/10.1142/s0219455414500461.

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Time domain substructural condition assessment method is actively researched in recent years to avoid the problem with uncertainties in the different components of the structure, boundary conditions and with an improved effort in the inverse computation. Since the interface force between substructures would vary with the existence of local damages and excitation in the substructures, existing condition assessment method for a full structure cannot be applied directly to the substructures. Also, most existing approaches adopt the state space method in the response prediction. However, the state
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28

Henriksen, Mark J., and Prajwal Panda. "Exploiting Machine Learning and Disequilibrium in Galaxy Clusters to Obtain a Mass Profile." Astrophysical Journal Letters 961, no. 2 (2024): L36. http://dx.doi.org/10.3847/2041-8213/ad1ede.

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Abstract We use 3D k-means clustering to characterize galaxy substructure in the A2146 cluster of galaxies (z = 0.2343). This method objectively characterizes the cluster’s substructure using projected position and velocity data for 67 galaxies within a 2.305 Mpc circular region centered on the cluster's optical center. The optimal number of substructures is found to be four. Four distinct substructures with rms velocity typical of galaxy groups or low-mass subclusters, when compared to cosmological simulations of galaxy cluster formation, suggest that A2146 is in the early stages of formation
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Kimmig, Lucas C., Rhea-Silvia Remus, Klaus Dolag, and Veronica Biffi. "The Hateful Eight: Connecting Massive Substructures in Galaxy Clusters like A2744 to Their Dynamical Assembly State Using the Magneticum Simulations." Astrophysical Journal 949, no. 2 (2023): 92. http://dx.doi.org/10.3847/1538-4357/acc740.

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Abstract Substructures are known to be good tracers for the dynamical states and recent accretion histories of the most massive collapsed structures in the universe, galaxy clusters. Observations find extremely massive substructures in some clusters, especially Abell 2744 (A2744), which are potentially in tension with the ΛCDM paradigm because they are not found in simulations directly. However, the methods to measure substructure masses strongly differ between observations and simulations. Using the fully hydrodynamical cosmological simulation suite Magneticum Pathfinder, we develop a method
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30

Zhi, Huihui, Cheng Zhang, Zihui Guo, Stoichko Antonov, and Yanjing Su. "Outstanding Tensile Properties and Their Origins in Twinning-Induced Plasticity (TWIP) Steels with Gradient Substructures." Materials 13, no. 5 (2020): 1184. http://dx.doi.org/10.3390/ma13051184.

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The low yield strength (~300 MPa) of twinning-induced plasticity (TWIP) steels greatly limits their structural applications in the industrial field. Conventional strengthening mechanisms usually cause an enhancement of yield strength but also a severe loss of ductility. In this research, gradient substructures were introduced in the Fe-22Mn-0.6C TWIP steels by different pre-torsional deformation in order to overcome the above limitations. The substructure evolution, mechanical properties, and their origins in gradient-substructured (GS) TWIP steels were measured and compared by electron backsc
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Ge, Nan, Hai Bin Chen, You Po Su, and Xing Guo Wang. "Research about Numerical Integration Method for Structural Dynamic Response in Real Time on-Line Test." Applied Mechanics and Materials 117-119 (October 2011): 364–68. http://dx.doi.org/10.4028/www.scientific.net/amm.117-119.364.

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The modified equations for PC-Newmark method and OS (operator-splitting) method were derived, which could be applied to the numerical solution for the non-linear equation encountered in real time on-line test. The structure with FPS seismic isolation system was divided into three substructures, namely the FPS system, the experiment substructure and the computation substructure. The explicit algorithm is applied to the first two substructures and the implicit algorithm to the third one in order to loosen the stability limitation. The numerical solution for a 7 DOF structural model has proven th
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32

Schmid, S., and RL Withers. "A Composite Modulated Structure Versus Superstructure Approach to the Refinement of >Zr108N98F138." Australian Journal of Chemistry 49, no. 7 (1996): 827. http://dx.doi.org/10.1071/ch9960827.

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Zr108N98F138 is an x = 2.185 member of a wide range non- stoichiometric solid solution Zr (N,O,F)x, 2.12 ≤ x ≤ 2.25, in the zirconium nitride oxide fluoride system. The structure is rerefined as a composite modulated structure composed of two mutually incommensurable Q and H substructures with overall superspace group symmetry Acmm (0,0,1.185..)0s0. The Q substructure has lattice parameters a = 5.186, b = 5.368 and cQ = 5.374 Ǻ, and substructure superspace group symmetry Acmm (0,0,1.185..)0s0. The H substructure has lattice parameters a = 5.186, bH = 1/2b = 2.684 and CH = 4.534 Ǻ, and substruc
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33

Hwang, W. S., and D. H. Lee. "Substructure analysis of complex systems using rigid body information of components." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 216, no. 10 (2002): 811–17. http://dx.doi.org/10.1177/095440700221600104.

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Frequency response function (FRF) based substructure analysis can predict the response of complex systems using the FRFs of substructures. It combines the FRFs of each substructure derived from finite element analysis or experiments depending on the situation. In general, the substructure with the excitation is separated from the others by rubber bushes to prevent the transmission of vibration from the source to the main structure. In this case, the substructure with the excitation shows rigid body motion up to the mid-frequency region. This paper presents a new FRF-based substructure analysis
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34

Dunaj, Paweł. "Mesoscale Modeling of Polymer Concrete Dynamic Properties." Polymers 15, no. 21 (2023): 4311. http://dx.doi.org/10.3390/polym15214311.

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There is a constant need to predict the dynamic properties of composite materials already at the design stage. A particularly attractive tool for achieving this goal is mesoscale finite element modeling. This paper presents the mesoscale modeling of the dynamic properties of polymer concrete. The method is based on finite element modeling and substructural identification. Substructural identification is a model updating technique based on frequency response functions. It enables the identification of model dynamic properties considering damping. The presented method is used to model the dynami
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35

Tong, Chun, Hua Li, and Jin Yao. "A New Method to Extract Substructures for the Multi-Shaft Transmission." Applied Mechanics and Materials 496-500 (January 2014): 646–51. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.646.

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Dynamic substructure method has been widely used in analyzing the torsional vibration characteristics of multi-shaft transmission. However, the existing literatures extract substructures of the multi-shaft transmission by treating its gears and shaft as several rotors, resulting in complex displacement coordination relationships and making it difficult to build dynamic model for the whole system. In this paper, a new method to extract substructures of the multi-shaft transmission is proposed when analyzing its torsional vibration characteristics using the dynamic substructure method. The propo
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36

Cook, D. J., and L. B. Holder. "Substructure Discovery Using Minimum Description Length and Background Knowledge." Journal of Artificial Intelligence Research 1 (February 1, 1994): 231–55. http://dx.doi.org/10.1613/jair.43.

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The ability to identify interesting and repetitive substructures is an essential component to discovering knowledge in structural data. We describe a new version of our SUBDUE substructure discovery system based on the minimum description length principle. The SUBDUE system discovers substructures that compress the original data and represent structural concepts in the data. By replacing previously-discovered substructures in the data, multiple passes of SUBDUE produce a hierarchical description of the structural regularities in the data. SUBDUE uses a computationally-bounded inexact graph mat
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37

Hasenoehrl, Erik J., and Peter R. Griffiths. "Classification of Condensed-Phase Infrared Spectra by Substructures Using Principal Components Analysis." Applied Spectroscopy 47, no. 5 (1993): 643–50. http://dx.doi.org/10.1366/0003702934067162.

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Expert system rules have been developed through the use of principal components analysis (PCA) for discriminating compounds containing large molecular substructures from their condensed-phase infrared spectra. With the use of this approach, the presence of substructures such as those of barbiturates, cocaines, and amphetamines can be recognized automatically. The classification rule can be generated from a PCA of a small training set of infrared spectra of compounds containing the substructure of interest. One important use of this type of expert system is the analysis of direct-deposition cap
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38

Altomare, Angela, Benny Danilo Belviso, Maria Cristina Burla, et al. "Multiple-wavelength anomalous dispersion techniques applied to powder data: a probabilistic method for finding the substructureviajoint probability distribution functions." Journal of Applied Crystallography 42, no. 1 (2008): 30–35. http://dx.doi.org/10.1107/s0021889808039538.

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A new joint probability distribution function method is described to find the anomalous scatterer substructure from powder data. The method requires two wavelengths; the conclusive formulas provide estimates of the substructure structure factor moduli, from which the anomalous scatterer positions can be found by Patterson or direct methods. The theory has been preliminarily applied to two compounds, the first having Pt and the second having Fe as anomalous scatterer. Both substructures were correctly identified.
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39

Schuecker, Peter, Hans Böhringer, and Luigina Feretti. "X-Ray Substructures of BCS, NORAS, REFLEX, Radio Halos/Relics and Cooling Flow Clusters of Galaxies." Highlights of Astronomy 12 (2002): 519–21. http://dx.doi.org/10.1017/s1539299600014258.

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AbstractThe results of a systematic study of substructures in X-ray surface brightness distributions of BCS, NORAS, REFLEX, radio halo, relic, and cooling flow clusters of galaxies based on RASS data are presented. At least 40 percent of the clusters show substructure. Indications for a cluster morphology-density relation are found. The fraction of clusters with substructure seems to be higher for halo and relic clusters and lower for clusters with cooling flow signature.
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40

Beladi, Hossein, Pavel Cizek, Adam S. Taylor, and Peter D. Hodgson. "Effect of Substructure Characteristics on the Dislocation Annihilation Process during Post-Deformation Annealing." Materials Science Forum 753 (March 2013): 76–79. http://dx.doi.org/10.4028/www.scientific.net/msf.753.76.

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Two distinct substructures were produced in a Ni-30Fe austenitic model alloy by different thermomechanical processing routes. The first substructure largely displayed organized, banded subgrain arrangements with alternating misorientations, resulting from the deformation at a strain just before the initiation of dynamic recrystallization (DRX). By contrast, the second substructure was more random in character and exhibited complex subgrain/cell arrangements characterized by local accumulation of misorientations, formed through DRX. During the post-deformation annealing, the latter substructure
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41

Koh, C. G., and K. Shankar. "Stiffness Identification by a Substructural Approach in Frequency Domain." International Journal of Structural Stability and Dynamics 03, no. 02 (2003): 267–81. http://dx.doi.org/10.1142/s0219455403000872.

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The concept of substructure representation is often employed to reduce the size of large and complex models for efficient structural analysis. In the context of structural system identification, this concept has also been used recently to improve numerical accuracy and convergence characteristics. Several research works have thus far demonstrated the effectiveness and advantages of substructural identification. But interface response measurements are usually required as input to the substructure to be identified in these methods. In this paper, a novel substructural method for stiffness identi
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42

Ferreira, Marcelo J. P., Gilberto V. Rodrigues, AntÔnio J. C. Brant, and Vicente P. Emerenciano. "REGRAS: an auxiliary program for pattern recognition and substructure elucidation of monoterpenes." Spectroscopy 15, no. 2 (2001): 65–98. http://dx.doi.org/10.1155/2001/679106.

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The main purpose of this paper is to present a procedure that utilizes13C NMR for pattern recognition and substructure elucidation of monoterpenes. By this reason, a novel version of the REGRAS program was developed for the specialist SISTEMAT system. This program carries out an analysis of the13C NMR data from a given compound and, from characteristic chemical shift ranges, recognizes the substructures and the skeleton present in a compound. At the end of this procedure, the program displays as analysis results the likely skeletons and substructures of the substance in question. The REGRAS pr
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43

Wu, Zijun, and Renbin Xiao. "Substructure-Based Topology Optimization for Symmetric Hierarchical Lattice Structures." Symmetry 12, no. 4 (2020): 678. http://dx.doi.org/10.3390/sym12040678.

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This work presents a topology optimization method for symmetric hierarchical lattice structures with substructuring. In this method, we define two types of symmetric lattice substructures, each of which contains many finite elements. By controlling the materials distribution of these elements, the configuration of substructure can be changed. And then each substructure is condensed into a super-element. A surrogate model based on a series of super-elements can be built using the cubic B-spline interpolation. Here, the relative density of substructure is set as the design variable. The optimali
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44

Liu, Youzhong, Aida Mrzic, Pieter Meysman, et al. "MESSAR: Automated recommendation of metabolite substructures from tandem mass spectra." PLOS ONE 15, no. 1 (2020): e0226770. https://doi.org/10.1371/journal.pone.0226770.

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Despite the increasing importance of non-targeted metabolomics to answer various life science questions, extracting biochemically relevant information from metabolomics spectral data is still an incompletely solved problem. Most computational tools to identify tandem mass spectra focus on a limited set of molecules of interest. However, such tools are typically constrained by the availability of reference spectra or molecular databases, limiting their applicability of generating structural hypotheses for unknown metabolites. In contrast, recent advances in the field illustrate the possibility
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Trishkina, Lyudmila I., Anatolii A. Klopotov, Tatyana V. Cherkasova, Alexander I. Potekaev, and Vladislav I. Borodin. "Formation of Fragments and Microbands During Deformation in Cu-Al and Cu-Mn Alloys with Different Concentrations of the Second Element." Izvestiya of Altai State University, no. 4(138) (October 7, 2024): 49–56. https://doi.org/10.14258/izvasu(2024)4-06.

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The dislocation structure during deformation of polycrystalline FCC solid solutions of the Cu-Al and Cu-Mn systems was studied using transmission electron diffraction microscopy. The Al content in the Cu-Al alloys varied from 0.5 to 14 at.%, while the Mn content in the Cu-Mn alloys varied within 0.4 ... 25 at.%. Types of forming dislocation substructures were determined by analyzing the electron microscopic patterns obtained for thin foils of the studied alloys deformed to different degrees. Microbands densities, widths, and distances between microbands in the defect structures were measured f
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46

Li, Zhongcheng, Cuihua Du, Haoyang Liu, and Dashuang Ye. "Investigation of Substructures of the Inner Halo Using the StarGO Algorithm with APOGEE DR17." Astrophysical Journal 985, no. 1 (2025): 47. https://doi.org/10.3847/1538-4357/adc809.

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Abstract We applied the Stars’ Galactic Origin algorithm in 7D space (i.e., [Fe/H], [Mg/Fe], [Al/Fe], L z , J r , J z , E) to analyze stars in the inner halo with APOGEE DR17. We identified some known substructures, including Gaia-Sausage/Enceladus, Sagittarius stream (Sgr), LMS-1 (Wukong), Thamnos, the metal-weak thick disk, and Aleph. Additionally, we identified an undefined metal-poor group (UDG, with [Fe/H] < −0.8 dex) probably linked to a known substructure like Aleph, as well as a high α-abundance substructure (HAS) associated with both the Nyx and Nyx-2 streams. Chemical abundance of
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47

Zhou, Weiya, Shunan Wu, and Jinzhao Yang. "Modular Dynamic Modeling for On-Orbit Assembly of Large-Scale Space Structures." International Journal of Aerospace Engineering 2023 (October 7, 2023): 1–12. http://dx.doi.org/10.1155/2023/6659124.

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The large-scale space structure during on-orbit assembly is a time-varying system. The dynamic modeling problem of such incrementally increasing space structure is investigated, and a modular dynamic modeling approach is proposed in this paper. The dynamic model of each substructure is first established, and then, a database is designed to store substructure models, which is used for subsequent dynamic modeling in the assembly process. The fixed connection relationship between adjacent substructures is described by constraint conditions, which lead to the coefficient matrices of adjacent subst
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48

Trishkina, Lyudmila I., Anatoly A. Klopotov, Tatiana V. Cherkasova, Alexander I. Potekaev, and Vladislav I. Borodin. "Alloys with a Cellular Dislocation Substructure: Hardening Mechanisms and Their Contributions to Flow Stresses." Izvestiya of Altai State University, no. 1(135) (April 5, 2024): 67–75. https://doi.org/10.14258/izvasu(2024)1-09.

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The study covers dilute Cu-Mn alloys with a cellular dislocation substructure formed during deformation. The contribution to the flow stress caused by the cellular dislocation substructure is evaluated, and relative roles of various deformation resistance mechanisms are determined. The analysis of electron microscopic images of thin foils of deformed low-alloy Cu-Mn alloys shows the contribution of various dislocation substructure parameters. Such parameters are the scalar dislocation density, dislocation densities in cell walls, boundaries of disoriented cells, ragged sub-boundaries, boundari
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49

Konovalov, Sergey, Nadezhda Yaropolova, Dmitry Zaguyliaev, Yurii F. Ivanov, and Victor Gromov. "An Impact of the Magnetic Field on the Fine Copper Structure under Creep Failure Conditions." Applied Mechanics and Materials 788 (August 2015): 111–16. http://dx.doi.org/10.4028/www.scientific.net/amm.788.111.

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An impact of a weak magnetic field on changes in the dislocation substructure of commercially pure copper exposed to stressing up to destruction under creep conditions was investigated. It was established that a magnetic field action on a metal exposed to creep resulted in the formation of a band dislocation substructure. In some cases grains with the dislocation chaos structure or cellular and grid substructures were revealed. In addition, quantitative differences in the dislocation substructure characteristics were also identified. A gradient nature of changes in the number of stress concent
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50

Arnold, Becky, Simon P. Goodwin, and Nicholas J. Wright. "The velocity structure of Cygnus OB2." Monthly Notices of the Royal Astronomical Society 495, no. 3 (2020): 3474–81. http://dx.doi.org/10.1093/mnras/staa1403.

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ABSTRACT The kinematic structure of the Cygnus OB2 association is investigated. No evidence of expansion or contraction is found at any scale within the region. Stars that are within ∼0.5 pc of one another are found to have more similar velocities than would be expected by random chance, and so it is concluded that velocity substructure exists on these scales. At larger scales velocity substructure is not found. We suggest that bound substructures exist on scales of ∼0.5 pc, despite the region as a whole being unbound. We further suggest that any velocity substructure that existed on scales &a
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