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Journal articles on the topic 'Modal analysis'

To see the other types of publications on this topic, follow the link: Modal analysis.

Author: Grafiati

Published: 4 June 2021

Last updated: 1 August 2024

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1

Yadav, Shrikant K., Dr S. B. Wadkar Dr. S. B. Wadkar, and S. J. Patil S. J. Patil. "Modal Analysis of Compressor Crankshaft." International Journal of Scientific Research 2, no. 7 (June 1, 2012): 155–58. http://dx.doi.org/10.15373/22778179/july2013/53.

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2

NAGAMATSU, Akio. "Modal Analysis." Journal of the Society of Mechanical Engineers 90, no. 823 (1987): 710–11. http://dx.doi.org/10.1299/jsmemag.90.823_710.

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3

Aenlle, M. L., and R. Brincker. "Modal scaling in operational modal analysis using a finite element model." International Journal of Mechanical Sciences 76 (November 2013): 86–101. http://dx.doi.org/10.1016/j.ijmecsci.2013.09.003.

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4

Cai, Yun Peng, Ji Li, Ming Hui Ji, and Xiang Hua Lin. "Gearcase’s Modal Analysis." Advanced Materials Research 694-697 (May 2013): 389–92. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.389.

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Using PROE software build the model of gearcase, and guide into ansys software for modal analysis in free state. It can get inherent frequency, here only take the ten order frequency, then calculate the pressure that lid applied, add to the role of theshell surface, using ansys for modal analysis to calculate the inherent frequency. When gearcase in the working, bearing and frame will constrain it. Considering this, on this condition, continue analyse the inherent frequency of gearcase, work out the results. Finally, compare these and analyse results, we can know that external conditions have a great influence on gearcase’s inherent frequency

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5

Heinkele, Christophe, and Claude‐Henri Lamarque. "Modal probabilistic analysis." Journal of the Acoustical Society of America 123, no. 5 (May 2008): 3153. http://dx.doi.org/10.1121/1.2933174.

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6

Totaro, N., and J. L. Guyader. "MODal ENergy analysis." Journal of Sound and Vibration 332, no. 16 (August 2013): 3735–49. http://dx.doi.org/10.1016/j.jsv.2013.02.022.

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7

YOKOTA, Kazuya, Satoshi ISHIKAWA, Kosuke TAKEZAKI, Yosuke KOBA, and Shinya KIJIMOTO. "Development of speech production analysis model using modal analysis." Proceedings of the Dynamics & Design Conference 2020 (August 25, 2020): 130. http://dx.doi.org/10.1299/jsmedmc.2020.130.

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8

ZHENG, Min, Fan SHEN, Dong-feng SHI, and Huai-hai CHEN. "Modal Analysis Using Operating Modal Identification Method." Chinese Journal of Aeronautics 17, no. 4 (November 2004): 215–19. http://dx.doi.org/10.1016/s1000-9361(11)60239-2.

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9

Santarsiero, Massimo, Rosario Martínez-Herrero, Gemma Piquero, Juan Carlos González de Sande, and Franco Gori. "Modal Analysis of Pseudo-Schell Model Sources." Photonics 8, no. 10 (October 17, 2021): 449. http://dx.doi.org/10.3390/photonics8100449.

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All pseudo-Schell model sources have been shown to possess the same continuous set of circularly symmetric modes, all of them presenting a conical wavefront. For keeping energy at a finite level, the mode amplitude along the radial coordinate is modulated by a decreasing exponential function. A peculiar property of such modes is that they exist in the Laplace transform’s realm. After a brief discussion of the near-zone, we pass to the far-zone, where the field can be evaluated in closed form. The corresponding features of the intensity distribution are discussed.

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10

Vu, V. H., M. Thomas, A. A. Lakis, and L. Marcouiller. "Operational modal analysis by updating autoregressive model." Mechanical Systems and Signal Processing 25, no. 3 (April 2011): 1028–44. http://dx.doi.org/10.1016/j.ymssp.2010.08.014.

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11

Jansson, Erik V., and Nils‐Erik Molin. "Optical modal analysis compared to modal analysis with digital electronic equipment." Journal of the Acoustical Society of America 84, S1 (November 1988): S136. http://dx.doi.org/10.1121/1.2025794.

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12

Mardaev, S. I. "Negative modal schemes." Algebra and Logic 37, no. 3 (May 1998): 187–91. http://dx.doi.org/10.1007/bf02671590.

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13

Mardaev, S. I. "Modal positive operators." Algebra and Logic 38, no. 5 (September 1999): 319–25. http://dx.doi.org/10.1007/bf02671748.

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14

Hadianfard, Mohammad Ali, and Soroosh Kamali. "Analysis of Modal Frequencies Estimated from Frequency Domain Decomposition Method." International Journal of Engineering and Technology 12, no. 3 (August 2020): 41–47. http://dx.doi.org/10.7763/ijet.2020.v12.1182.

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Frequency Domain Decomposition (FDD) is an operational modal analysis method by which the dynamic parameters of structures are obtained using response signals recorded on several locations of structures. In recent years, many researchers have employed the method to estimate the modal parameters of several Multi-Degree-of-Freedom (MDOF) mechanical and civil systems. The accuracy of the results depends on recording and signal processing parameters such as sampling frequency, windowing, filtering etc. As a result, investigation on the influence of these parameters on the accuracy of the estimates is a good practice. In this research, the uncertainty of modal frequencies obtained from FDD method is analyzed. In order to achieve this goal, the exact values of modal parameters must be available to be compared with the results from FDD method. For this purpose, synthetic signals with random characteristics the same as the ambient vibrations’ are produced and structures with known dynamic parameters are simulated and loaded. The effect of several parameters are investigated in the accuracy of results and proper values and settings are proposed to minimize the errors.

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15

Gat, Shrenik B. "Modal Analysis of Francis Turbine Blade Using Composite Material." International Journal Of Mechanical Engineering And Information Technology 05, no. 04 (April 8, 2017): 1855–60. http://dx.doi.org/10.18535/ijmeit/v5i4.01.

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16

Wenting Sun, Wenting Sun, Peng Lv Peng Lv, Changhe Zhou Changhe Zhou, Jun Wu Jun Wu, and Shaoqing Wang Shaoqing Wang. "Modal analysis of the 0th order nulled phase masks." Chinese Optics Letters 11, no. 7 (2013): 070502–70506. http://dx.doi.org/10.3788/col201311.070502.

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17

Jarunchut, Chearakoon, Ichiro Hagiwara, and Maria Savchenko. "731 COMBINATION METHOD FOR TETRAHEDRAL-4 ELEMENT MODAL ANALYSIS." Proceedings of the Dynamics & Design Conference 2005 (2005): _731–1_—_731–4_. http://dx.doi.org/10.1299/jsmedmc.2005._731-1_.

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18

van Rooij, Robert. "A Modal Analysis of Presupposition and Modal Subordination." Journal of Semantics 22, no. 3 (May 3, 2005): 281–305. http://dx.doi.org/10.1093/jos/ffh026.

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19

MARITA, Masao. "Modal Test Reference Selection for Experimental Modal Analysis." Transactions of the Japan Society of Mechanical Engineers Series C 65, no. 636 (1999): 3161–66. http://dx.doi.org/10.1299/kikaic.65.3161.

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20

Fei, W., X. Ll, L. j. Shl, and Y. b. Yang. "A Separation Modal Method of Experimental Modal Analysis." Shock and Vibration Digest 23, no. 8 (August 1, 1991): 18–20. http://dx.doi.org/10.1177/058310249102300803.

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21

Vu, Viet Hung, and Marc Thomas. "Uncertainties on modal parameters by operational modal analysis." Mechanics & Industry 15, no. 2 (2014): 153–58. http://dx.doi.org/10.1051/meca/2014018.

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22

Morse, Ivan E. "Tutorial on modal analysis." Journal of the Acoustical Society of America 77, S1 (April 1985): S33. http://dx.doi.org/10.1121/1.2022284.

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23

Rossing, Thomas D. "Modal analysis of guitars." Journal of the Acoustical Society of America 112, no. 5 (November 2002): 2409. http://dx.doi.org/10.1121/1.4779838.

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24

NAGAMATSU, Akio. "Modal analysis in Japan." Transactions of the Japan Society of Mechanical Engineers Series C 56, no. 521 (1990): 1–7. http://dx.doi.org/10.1299/kikaic.56.1.

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25

Ege, Kerem, Xavier Boutillon, and Bertrand David. "High resolution modal analysis." Journal of the Acoustical Society of America 123, no. 5 (May 2008): 3062. http://dx.doi.org/10.1121/1.2932803.

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26

Colom, Rémi, Brian Stout, Ross Mcphedran, and Nicolas Bonod. "Modal analysis of anapoles." Journal of Physics: Conference Series 1461 (March 2020): 012017. http://dx.doi.org/10.1088/1742-6596/1461/1/012017.

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27

Cingel, Michal, Ján Čelko, and Marek Drličiak. "Analysis in modal split." Transportation Research Procedia 40 (2019): 178–85. http://dx.doi.org/10.1016/j.trpro.2019.07.028.

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28

Ege, Kerem, Xavier Boutillon, and Bertrand David. "High-resolution modal analysis." Journal of Sound and Vibration 325, no. 4-5 (September 2009): 852–69. http://dx.doi.org/10.1016/j.jsv.2009.04.019.

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29

McDonald, Paul, and Garth Wiley. "Modal analysis technology review." Journal of the Acoustical Society of America 85, S1 (May 1989): S39. http://dx.doi.org/10.1121/1.2026947.

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30

Maia, N. M. M., and J. M. M. Silva. "Modal analysis identification techniques." Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences 359, no. 1778 (January 15, 2001): 29–40. http://dx.doi.org/10.1098/rsta.2000.0712.

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31

Sando, Keishi, and Hideitsu Hino. "Modal Principal Component Analysis." Neural Computation 32, no. 10 (October 2020): 1901–35. http://dx.doi.org/10.1162/neco_a_01308.

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Principal component analysis (PCA) is a widely used method for data processing, such as for dimension reduction and visualization. Standard PCA is known to be sensitive to outliers, and various robust PCA methods have been proposed. It has been shown that the robustness of many statistical methods can be improved using mode estimation instead of mean estimation, because mode estimation is not significantly affected by the presence of outliers. Thus, this study proposes a modal principal component analysis (MPCA), which is a robust PCA method based on mode estimation. The proposed method finds the minor component by estimating the mode of the projected data points. As a theoretical contribution, probabilistic convergence property, influence function, finite-sample breakdown point, and its lower bound for the proposed MPCA are derived. The experimental results show that the proposed method has advantages over conventional methods.

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32

KUWABARA, Hiroki, Takahiko ITO, Yuichi TANABE, Mitsuo IWAHARA, Akio NAGAMATSU, and Masayuki TAKAHASHI. "21315 Experimental modal analysis and operational modal analysis which use strain gauge." Proceedings of Conference of Kanto Branch 2007.13 (2007): 469–70. http://dx.doi.org/10.1299/jsmekanto.2007.13.469.

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33

Sung, Shung H., and Donald J. Nefske. "Classical modal analysis and asymptotic modal analysis of structural and acoustic systems." Journal of the Acoustical Society of America 146, no. 4 (October 2019): 2905. http://dx.doi.org/10.1121/1.5137079.

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34

Zhu, Yi-Chen, and Siu-Kui Au. "Bayesian data driven model for uncertain modal properties identified from operational modal analysis." Mechanical Systems and Signal Processing 136 (February 2020): 106511. http://dx.doi.org/10.1016/j.ymssp.2019.106511.

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35

Huňady, Róbert, František Trebuňa, Martin Hagara, and Martin Schrötter. "The Use of Modan 3D in Experimental Modal Analysis." Applied Mechanics and Materials 486 (December 2013): 36–41. http://dx.doi.org/10.4028/www.scientific.net/amm.486.36.

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Experimental modal analysis is a relatively young part of dynamics, which deals with the vibration modes identification of machines or their parts. Its development has started since the beginning of the eighties, when the computers hardware equipment has improved and the fast Fourier transform (FFT) could be used for the results determination. Nowadays it provides an uncountable set of vibration analysis possibilities starting with conventional contact transducers of acceleration and ending with modern noncontact optical methods. In this contribution we mention the use of high-speed digital image correlation by experimental determination of mode shapes and modal frequencies. The aim of our work is to create a program application called Modan 3D enabling the performing of experimental modal analysis and operational modal analysis. In this paper the experimental modal analysis of a thin steel sample performed with Q-450 Dantec Dynamics is described. In Modan 3D the experiment data were processed and the vibration modes were determined. The reached results were verified by PULSE modulus specialized for mechanical vibration analysis.

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36

OKUMA, Masaaki, Tetsuji ISHIKAWA, and Masanobu NAKAMURA. "Vibration Analysis by Modal Energy Analysis Method. 1st Report, Proposition of Modal Energy Analysis Method." Transactions of the Japan Society of Mechanical Engineers Series C 57, no. 543 (1991): 3443–50. http://dx.doi.org/10.1299/kikaic.57.3443.

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37

KANAZAWA, Kenji, and Tetsuya MATSUI. "ARMAMA MODEL FOR SPECTRAL ANALYSIS AND MODAL IDENTIFICATION." Journal of Structural and Construction Engineering (Transactions of AIJ) 67, no. 554 (2002): 71–78. http://dx.doi.org/10.3130/aijs.67.71_1.

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38

Walther, Thomas. "Auditory scene analysis with a multi-modal model." Journal of the Acoustical Society of America 137, no. 4 (April 2015): 2375. http://dx.doi.org/10.1121/1.4920630.

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39

Yousif, Omaima A., Adil N. Abed, and Hamid A. Awad. "Modal Split Model Using Multiple Linear Regression Analysis." Anbar Journal for Engineering Sciences 12, no. 2 (August 1, 2021): 222–28. http://dx.doi.org/10.37649/aengs.2021.171190.

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40

Winarski, Daniel, Kip P. Nygren, and Tyson Winarski. "Finite Element Analysis versus Empirical Modal Analysis of a Basketball Rim and Backboard." Vibration 7, no. 2 (June 7, 2024): 582–94. http://dx.doi.org/10.3390/vibration7020030.

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The first goal of this research was to document the process of using the MODAL analysis system of the ANSYS 2024R1 student edition to create a finite element model of the modes and frequencies of vibration of one basketball rim and backboard design. This finite element model included the use of steel for the rim and its mount, a tempered glass backboard, and an aluminum frame behind the backboard. After a mesh was created, fixed support boundary conditions were applied to the four corners of the aluminum frame, followed by the theoretical modal analysis. The second goal was to validate this model by comparing the finite element calculated mode shapes and frequencies to the empirical modal analysis previously measured at the United States Military Academy at West Point, New York. Five mode shapes and frequencies agreed rather well between the theoretical finite element analysis and previously published empirical modal analysis, specifically where the rim was vibrating in the vertical direction, which was the direction that the accelerometer was aligned for the empirical modal analysis. These five modes were addressed from a finite element model validation standpoint by a 99.5% confidence in a 98.09% cross-correlation with empirical modal analysis data, and from a verification standpoint by employing a refined-mesh. However, three theoretical mode shapes missed by the empirical modal analysis were found where the vibration of the rim was confined to the horizontal plane, which was orthogonal to the orientation of our accelerometer.

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41

Rahbar-Ranji, Ahmad. "Modal analysis of a box-shape girder by numerical method." Odes’kyi Politechnichnyi Universytet. Pratsi, no. 2 (August 20, 2016): 21–25. http://dx.doi.org/10.15276/opu.2.49.2016.06.

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42

Zhou, Lu. "A Multi-modal Discourse Analysis on D&G’s Advertisements." International Journal of Languages, Literature and Linguistics 6, no. 2 (June 2020): 99–102. http://dx.doi.org/10.18178/ijlll.2020.6.2.258.

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43

OKUBO, Nobuyuki, and Koichi TAKAYAMA. "Automatic extraction method of modal parameters in modal analysis." Journal of the Japan Society for Precision Engineering 55, no. 4 (1989): 742–47. http://dx.doi.org/10.2493/jjspe.55.742.

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44

Kurowski, Piotr, Krzysztof Mendrok, and Tadeusz Uhl. "An application of operational modal analysis in modal filtering." Journal of Physics: Conference Series 305 (July 19, 2011): 012094. http://dx.doi.org/10.1088/1742-6596/305/1/012094.

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45

YASUI, Yoshitsugu, and Tetsuo YASAKA. "Modal frequency response analysis using modal load transformation method." Transactions of the Japan Society of Mechanical Engineers Series C 56, no. 522 (1990): 368–73. http://dx.doi.org/10.1299/kikaic.56.368.

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46

Abdelghani, M., and D. J. Inman. "Modal Appropriation for Use with In-Operation Modal Analysis." Shock and Vibration 2015 (2015): 1–5. http://dx.doi.org/10.1155/2015/537030.

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We propose in this paper a numerical modal appropriation method for use with in-operation modal analysis (INOPMA). The key idea is to realize that the correlation sequence of the system output is the sum of decaying sinusoids with a certain phase shift and therefore it may be considered as an impulse response. The method is based on performing a numerical convolution of a single sine wave force with the system output correlation sequence. The steps are then similar to the classical modal appropriation method, although the characteristic frequencies are different. This approach is validated and compared to a subspace method on simulated data as well as on experimental data and it is shown that INOPMA outperforms the subspace method.

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47

Maksimova, L. L. "Modal logics and varieties of modal algebras: The beth properties, interpolation, and amalgamation." Algebra and Logic 31, no. 2 (March 1992): 90–105. http://dx.doi.org/10.1007/bf02259848.

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48

Zhou, Bainan, and Xu Li. "Multimodal Emotion Analysis Model based on Interactive Attention Mechanism." Frontiers in Computing and Intelligent Systems 3, no. 2 (April 13, 2023): 67–73. http://dx.doi.org/10.54097/fcis.v3i2.7512.

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In traditional multi-modal sentiment analysis, feature fusion is usually achieved by simple splicing, and multi-modal sentiment analysis is only trained as a single task, without considering the contribution of inter-modal information interaction to sentiment analysis and the correlation and constraint relationship between multi-modal and single-modal (text, video and audio) tasks. Therefore, a multi-task model based on interactive attention mechanism is proposed in this paper, which uses inter-modal attention mechanism and single-modal self-attention mechanism to train multi-modal sentiment analysis and single-modal sentiment analysis together, so as to make full use of inter-modal and inter-task information sharing, mutual complement, and reduce noise to improve the overall recognition performance. Experiments show that the proposed model performs well on MOSI and MOSEI common data sets for multimodal sentiment analysis.

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49

Wyckaert, Katrien, Fülöp Augusztinovicz, and Paul Sas. "Vibro‐acoustical modal analysis: Reciprocity, model symmetry, and model validity." Journal of the Acoustical Society of America 100, no. 5 (November 1996): 3172–81. http://dx.doi.org/10.1121/1.417127.

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50

Mardaev, S. I. "Fixed points of modal schemes." Algebra and Logic 31, no. 5 (September 1992): 292–95. http://dx.doi.org/10.1007/bf02259825.

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