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1

Qiu, Zhigang, Weiwei Zhu, Jun Du, and Guojian Feng. "Spectral Analysis Method of Seismic Waves: Time-Frequency Response Spectrum." International Journal for Housing Science and Its Applications 45, no. 4 (2024): 98–106. https://doi.org/10.70517/ijhsa4549.

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The commonly used spectrum analysis methods are summarized and their problems are analyzed. In this paper, the time-domain response spectrum is first analyzed and the frequency-domain normalized spectrum is given. The normalized time-frequency response spectra are calculated and compared by four typical ground vibration waveforms. This project will use the standardized time-frequency response spectrum analysis method to analyze the susceptibility of impact ground shaking and ground motions containing rich high-frequency components to structural damage under the action of strong earthquakes. Th
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2

Ye, Jihong, Zhiqiang Zhang, and Xianming Liu. "A simplified multisupport response spectrum method." Earthquake Engineering and Engineering Vibration 11, no. 2 (2012): 243–56. http://dx.doi.org/10.1007/s11803-012-0114-4.

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3

Jin, Min Chao, Bao Fu Wang, Zhong Ren Feng, and Xiong Jiang Wang. "Seismic Response Analysis of Long Span Cable-Stayed Bridge by Response Spectrum Method." Applied Mechanics and Materials 204-208 (October 2012): 1992–96. http://dx.doi.org/10.4028/www.scientific.net/amm.204-208.1992.

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Based on response spectrum method, the seismic behavior of a long span cable-stayed bridge is investigated through three dimensional finite element model established by ANSYS. By calculating the cumulative effective mass factors of the bridge, the minimum number of modes used for modal superposition analysis is obtained. Design acceleration response spectrums under two probabilities are used in the analysis. The response spectrums are input in the bridge longitudinal direction, vertical direction, transverse direction and combined horizontal and vertical directions. Displacements and internal
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4

Su, Cheng, Zhijian Huang, and Jianhua Xian. "A modified response spectrum method based on uniform probability spectrum." Bulletin of Earthquake Engineering 17, no. 2 (2018): 657–80. http://dx.doi.org/10.1007/s10518-018-0485-7.

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5

De Domenico, D., G. Falsone, and G. Ricciardi. "Improved response-spectrum analysis of base-isolated buildings: A substructure-based response spectrum method." Engineering Structures 162 (May 2018): 198–212. http://dx.doi.org/10.1016/j.engstruct.2018.02.037.

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6

Trifunac, Mihailo D. "Early history of the response spectrum method." Soil Dynamics and Earthquake Engineering 28, no. 9 (2008): 676–85. http://dx.doi.org/10.1016/j.soildyn.2007.10.014.

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7

Gupta, Ajaya K., and Jing-Wen Jaw. "Response spectrum method for nonclassically damped systems." Nuclear Engineering and Design 91, no. 2 (1986): 161–69. http://dx.doi.org/10.1016/0029-5493(86)90203-7.

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8

Guo, Xiao Yun, Jing Shan Bo, Ping Li, and Yu Dong Zhang. "Least Square Method to Calibrate Seismic Design Response Spectrum." Advanced Materials Research 378-379 (October 2011): 358–61. http://dx.doi.org/10.4028/www.scientific.net/amr.378-379.358.

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Seismic design response spectrum is the basis of structure seismic design. Calibration of seismic design response spectrum is the main chain of structures’ seismic input determination. This paper proposes a new method of calibrating seismic design response spectrum. Based on summarizing the main form of calibrated seismic design response spectrum, which is related to the determination of the characteristic parameters of response spectrum, this paper advances least square fitting method based on coordinate transformation, and by comparing different calibrating methods, points out that least squ
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9

Zhang, Zhen Xuan, and Qing Jun Chen. "Long-Period Response Spectrum and Earthquake Response Analysis of Super High-Rise Building." Advanced Materials Research 163-167 (December 2010): 3964–71. http://dx.doi.org/10.4028/www.scientific.net/amr.163-167.3964.

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Based on seismic records with large long-period components at home and abroad, carried on uniform error correction processing and rough site classification, then, used numerical analysis software-MATLAB to calculate the average response spectrum of different types of venues, and used the least square method to do sub-fitting for them, got the long-period quasi-regulatory response spectrums of all kinds of venues; using the general-purpose finite element analysis software-ANSYS, a super high-rise building structural analysis model was established, inputted the fitted long-period seismic respons
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10

CAO Beibei, and YIN Jingyuan. "Using Wave Method to Calculate Earthquake Response Spectrum." International Journal of Advancements in Computing Technology 5, no. 8 (2013): 423–30. http://dx.doi.org/10.4156/ijact.vol5.issue8.47.

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11

Poznyak, Elena, Viktor Chirkov, Alexei Bugaevsky, Valery Simbirkin, and Victor Kurnavin. "Response spectrum method for spatial seismic ground motion." Vibroengineering PROCEDIA 38 (June 28, 2021): 38–43. http://dx.doi.org/10.21595/vp.2021.22039.

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12

Takewaki, Izuru. "Response Spectrum Method for Nonlinear Surface Ground Analysis." Advances in Structural Engineering 7, no. 6 (2004): 503–14. http://dx.doi.org/10.1260/1369433042863233.

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13

Kiureghian, Armen Der, and Ansgar Neuenhofer. "Response spectrum method for multi-support seismic excitations." Earthquake Engineering & Structural Dynamics 21, no. 8 (1992): 713–40. http://dx.doi.org/10.1002/eqe.4290210805.

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14

Li, Xu, Sheng Ping Wu, and Zhen Zheng Fang. "Research on Analysis Method of Seismic Response of Long Span Cable-Stayed Bridge." Applied Mechanics and Materials 353-356 (August 2013): 2228–32. http://dx.doi.org/10.4028/www.scientific.net/amm.353-356.2228.

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The response of the long-span cable-stayed bridges under seismic load is complex. Reasonable methods is very important to analyze the seismic performance. In this paper, a practical project is taken as research background which is double pylon cable-stayed bridge with main span of 416m. Two artificial seismic waves and two seismic records were selected to analyze the seismic behaviors by the response spectrum method, time history analysis method and power spectrum method. The result shows that seismic responses of the girder and main tower are basically identical under the effect of artificial
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15

Liu, Li, and Zhang. "Analysis of Offshore Structures Based on Response Spectrum of Ice Force." Journal of Marine Science and Engineering 7, no. 11 (2019): 417. http://dx.doi.org/10.3390/jmse7110417.

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With the development of large-scale offshore projects, sea ice is a potential threat to the safety of offshore structures. The main forms of damage to bottom-fixed offshore structures under sea ice are crushing failure and bending failure. Referred to as the concept of seismic response spectrums, the design response spectrum of offshore structures induced by the crushing and bending ice failure is presented. Selecting the Bohai Sea in China as an example, the sea areas were divided into different ice zones due to the different sea ice parameters. Based on the crushing and bending failure power
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16

Gao, Li Yan, Yu Kun Feng, and Wen Feng Liu. "Mode Superposition Response Spectrum Method Combined with Continuum Method for High-Rise Energy Dissipation Structure." Applied Mechanics and Materials 94-96 (September 2011): 799–802. http://dx.doi.org/10.4028/www.scientific.net/amm.94-96.799.

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Response spectrum curve is the base of seismic design of structures, and mode-superposition response spectrum method is a practical design method of structures. Damping adjustment factors and shape parameters have been adjusted in the new Chinese code (2010) for damping rate is not equal to 0.05. Then, a new mode superposition response spectrum method combined with continuum method is introduced in this paper. Finally, the earthquake shear of a shear-wall structure’s bottom is calculated, and the results of the new method are compared with that of traditional method implemented in PM-SATWE sof
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17

Liang, Qianqian, Chen Zhao, and Jun Hu. "A New Elastoplastic Time-History Analysis Method for Frame Structures." Advances in Civil Engineering 2020 (September 30, 2020): 1–8. http://dx.doi.org/10.1155/2020/8818187.

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This study aimed to analyze the formation and application of the time-domain elastoplastic response spectrum. The elastoplastic response spectrum in the time domain was computed according to the trilinear force-restoring model. The time-domain elastoplastic response spectrum corresponded to a specific yield strength coefficient, fracture stiffness, and yield stiffness. However, the force-restoring models corresponding to different structural systems and the states of the structural systems at different moments were not the same. Therefore, the dynamic characteristics of a particular periodic p
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18

Gao, Peng, Haicheng Li, Ziqi Jia, et al. "A Method for Correcting the Shock Response Spectrum in Missile-Borne Products." Journal of Physics: Conference Series 2891, no. 8 (2024): 082014. https://doi.org/10.1088/1742-6596/2891/8/082014.

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Abstract Missile-borne products often encounter shock signals that include low-frequency interference. Following the detonation of initiating devices, the displacement and velocity values are non-zero, and the acceleration signal exhibits baseline drift. This phenomenon distorts the results of Shock Response Spectrum (SRS) analysis. To address these issues, we propose an enhanced method of SRS analysis based on Variational Mode Decomposition (VMD). This method uses VMD to preprocess the shock signal by decomposing it into multiple modal components. It then eliminates modes dominated by low-fre
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19

Wang, Xue Ni, and Jing Zhou. "Application of Simulated Annealing Particle Swarm Optimization in Response Spectrum Fitting of Simulated Earthquake Wave." Applied Mechanics and Materials 444-445 (October 2013): 1082–86. http://dx.doi.org/10.4028/www.scientific.net/amm.444-445.1082.

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In order to get a simulated earthquake wave whose response spectrum fitted well to the smooth design response spectrum, a model was established by making the standard error between the response spectrum of simulated earthquake wave and the design response spectrum as the minimal optimization objective. Simulated annealing particle swarm optimization algorithm, which was an improvement algorithm of particle swarm optimization, was used to solve the model. This spectrum fitting method was compared with the conventional spectrum fitting method, which adjusted Fourier amplitude spectrum in frequen
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20

Kote, P. B., S. N. Madhekar, and I. D. Gupta. "Use of critical response spectrum for design of multi-story steel buildings under multi-component seismic excitation." Proceedings of the 12th Structural Engineering Convention, SEC 2022: Themes 1-2 1, no. 1 (2022): 749–58. http://dx.doi.org/10.38208/acp.v1.577.

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During an earthquake, buildings are simultaneously excited by three-components of ground motion (two horizontal and one vertical) orientations of which are not known apriori. To take account for the uncertainty in the direction of incidence of earthquake waves, a structure is required to be designed such that it is safe for all directions of incidence. For this purpose, the combined effects of two horizontal components of motion are commonly determined using simplified methods such as the percentage rules (e.g. 100%+30%, 100%+40%), square root of the sum of squares (SRSS) and Complete Quadrati
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21

YAMADA, Yoshikazu, and Kenji KAWANO. "Seismic response analysis of nonproportional damping system due to response spectrum method." Doboku Gakkai Ronbunshu, no. 380 (1987): 213–22. http://dx.doi.org/10.2208/jscej.1987.380_213.

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22

Fu, Yunji, and Q. M. Li. "Design response spectrum based on shock-waveform decomposition method." Soil Dynamics and Earthquake Engineering 186 (November 2024): 108889. http://dx.doi.org/10.1016/j.soildyn.2024.108889.

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23

Park, Young J. "New Conversion Method from Response Spectrum to PSD Functions." Journal of Engineering Mechanics 121, no. 12 (1995): 1391–92. http://dx.doi.org/10.1061/(asce)0733-9399(1995)121:12(1391).

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24

Kishida, A., and I. Takewaki. "Response Spectrum Method for Kinematic Soil-Pile Interaction Analysis." Advances in Structural Engineering 13, no. 1 (2010): 181–97. http://dx.doi.org/10.1260/1369-4332.13.1.181.

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25

AOKI, Shigeru. "First Excursion Probability Estimation Method Using Average Response Spectrum." Transactions of the Japan Society of Mechanical Engineers Series C 58, no. 546 (1992): 347–51. http://dx.doi.org/10.1299/kikaic.58.347.

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26

Sutharshana, Saravanapavananthan, and William McGuire. "Non-linear response spectrum method for three-dimensional structures." Earthquake Engineering & Structural Dynamics 16, no. 6 (1988): 885–900. http://dx.doi.org/10.1002/eqe.4290160609.

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27

Chen, Lan, De Long Lu, and Xiao Gang Yin. "The Comparative Analysis on Calculation Methods of Vertical Seismic Response to Suspended-Dome Structure." Applied Mechanics and Materials 351-352 (August 2013): 849–53. http://dx.doi.org/10.4028/www.scientific.net/amm.351-352.849.

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Based on the vertical seismic information, the vertical seismic response spectrum was calculated by Matlab Lsim function. The seismic effect of Kiewitt-Lamella suspended-dome was measured by dynamic to static ratio. According to the EL-Centro seismic wave, it analyzed and compared the dynamic to static ratios which were calculated by the following four vertical seismic calculation methods respectively: the simplified method of specification, the mode-superposition response spectrum methods based on the horizontal earthquake affecting coefficients and the vertical acceleration response spectrum
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28

Nan, Yu, Zhi Gang Song, and Shi Jiao. "Response Spectrum Analysis Method of Footbridge Lateral Vibration under Man-Bridge Interaction." Advanced Materials Research 838-841 (November 2013): 1165–69. http://dx.doi.org/10.4028/www.scientific.net/amr.838-841.1165.

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Based on the uniform experimental design method and combining with the additional lateral pedestrian role derived from social force, this paper establishes human-bridge dynamic interaction model and calculates dynamic response of simply supported structures with different span, damping ratio, walking stride frequency and other parameters under the man-bridge dynamic interaction. The acceleration response spectrum is obtained by FFT transform of acceleration response. Then RMS-acceleration response spectrum is calculated in accordance with ISO overall frequency weighting method and the response
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29

Laminou, Lawali Moussa, and Xinghua Chen. "Spectral Representation-Based Multidimensional Nonstationary Ground Motion Model for Seismic Reliability Analysis of Frame Structures." Shock and Vibration 2021 (April 22, 2021): 1–19. http://dx.doi.org/10.1155/2021/5592249.

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A framework for a multidimensional nonstationary ground motion model based on spectral representation theory is proposed in this paper. The multidimensional nonstationary ground motion model is built from a local target to fit the multidimensional response spectrum. A four-stage modulation function takes into account the multidimensional intensity correlation and the modified Clough–Penzien (C-P) power spectrum with parameter correlation, which represent the two main aspects, the modulation function and the power spectrum of constructing the multidimensional nonstationary ground motion model.
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30

Chethan, M., and S. Sureshchandra B. "Seismic Analysis Comparison of G+11 Storey Conventional RC Frame Structure and Mivan Structure." INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT 6, no. 1 (2021): 290–95. https://doi.org/10.5281/zenodo.5702752.

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Earthquake is the important term that is considered while designing any multistorey structure. During earthquake large amount of energy is released in crust due to failure of rupture plane or tectonic plate movements. This energy reaches the surface of earth in form of waves. Due to this earthquake cause huge destruction on surface of earth and will cause damage to the structure. Hence earthquake is considered as one of the most disastrous of natural criteria. In this study G+11 storey building of rectangular plan is considered for the seismic analysis. The equivalent static method and respons
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31

Miao, Tian Ming, and Ying Zhou. "Research on Seismic Design and Modeling of City Viaduct." Applied Mechanics and Materials 608-609 (October 2014): 134–38. http://dx.doi.org/10.4028/www.scientific.net/amm.608-609.134.

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This paper gives the basic methods for the analysis of the seismic response of viaduct based on elastic-plastic response spectrum method, and established indicators correspond with the method of strength, deformation, basic displacement and other performance. Practical example shows that the elastic-plastic response spectrum analysis response can be careful examining structure of each target in strong earthquake action value, and compare with the nonlinear time-history analysis, the method is concise, efficient, stable, and has the statistical significance of spectrum analysis, that can be use
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32

Lu, Yun Xiang, Ze Fang Lou, Bo Liu, and Xiao Cheng Pan. "Study on Calculation Method of Dynamic Response of Structure Subjected to Harmonic Load." Applied Mechanics and Materials 226-228 (November 2012): 70–75. http://dx.doi.org/10.4028/www.scientific.net/amm.226-228.70.

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This paper puts forward pseudo-response spectrum method for calculating the dynamic response of structure caused by harmonic load on the floor, and proposes to use frequency ratio as a new modal truncation index. Combined with engineering practice, the analysis results of pseudo-response spectrum method were compared with the results of existing dynamic coefficient method and elastic time-history method. The contrast results show that dynamic coefficient method due to lacking of considering dynamic properties enough was not able to meet the real response and could not evaluate the comfort of t
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33

Han, Xin, Shun Yang, Jingshan Bo, Chaoyu Chang, Mei Guo, and Yimeng Cai. "A New Method for the Calibration of Site-Related Response Spectra." Advances in Civil Engineering 2022 (July 30, 2022): 1–13. http://dx.doi.org/10.1155/2022/1713482.

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The calibration of response spectra is an important issue that needs further research in engineering earthquake resistance. This paper proposes an improved calibration method for site-related response spectra. The seismic acceleration response spectra are statistically analyzed in the random period bands in the form of regression analysis, and the fitting indices in each frequency band under 11 different functions are given. Accordingly, the best fitting function for each period band is determined. Combined with a genetic algorithm, the control parameters of the seismic acceleration response s
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34

Sabitov, A. F., and I. A. Safina. "Implementation of the Spectral Method for Determining of Measuring Instruments' Dynamic Characteristics." Devices and Methods of Measurements 11, no. 2 (2020): 155–62. http://dx.doi.org/10.21122/2220-9506-2020-11-2-155-162.

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The spectral method for establishing dynamic response of measuring instruments basically requires determining the amplitude spectrum of the signal in its informative part that includes the amplitude spectrum at zero frequency. The operating frequency range of existing low-frequency spectrum analyzers is above zero frequency that leads to an uncertainty in dynamic response of measuring instruments determined by the spectral method. The purpose of this paper is to develop a program for calculating the signal amplitude spectrum, starting from zero frequency, to implement a spectral method for det
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35

Zhou, Dao Chuan, Guo Rong Chen, and Li Ying Nie. "Displacement-Based Design for RC Bridge Columns Based on Chinese Code." Advanced Materials Research 243-249 (May 2011): 3808–19. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.3808.

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A comprehensive study of displacement-based design for reinforced concrete bridge columns is conducted. Section analysis software UC-Fyber is used to analyze the bending moment and curvature performance of columns’ sections, based on this, a new calculation method of target displacement of RC bridge columns is educed. Elastic displacement response spectrum, inelastic displacement response spectrum and inelastic demand spectrum are educed from acceleration spectra of Chinese Code JTG/T B02-01-2008; three simplified methods for displacement demand determination are developed. Example of the disp
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36

Loth, Christophe, and Jack W. Baker. "Rational Design Spectra for Structural Reliability Assessment Using the Response Spectrum Method." Earthquake Spectra 31, no. 4 (2015): 2007–26. http://dx.doi.org/10.1193/041314eqs053m.

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Current design spectra, which approximate uniform hazard or risk spectra, are known to have shortcomings, but no alternative has been proven superior for the purposes of design checks. In this work, we use response spectrum method analysis to show that the “design point” associated with a structural reliability assessment is a rational choice for a design spectrum. When the response parameter of interest is sensitive to excitation at a particular period, the design point corresponds to a conditional mean spectrum (CMS) conditioned on that period. In the case where there are multiple structural
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37

Musacchio-González, E., P. F. Mastinu, and G. Martín-Hernández. "Method for converting neutron time-of-flight spectrum into an energy spectrum." Journal of Physics: Conference Series 2586, no. 1 (2023): 012113. http://dx.doi.org/10.1088/1742-6596/2586/1/012113.

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Abstract In neutron time-of-flight (nTOF) experiments a pulsed neutron beam travels a predetermined distance before reaching the sample under examination. The problem of reconstructing the primary neutron spectrum from the measured one with this technique is discussed in this work. A solution is presented employing the response matrix of the neutron detector and an unfolding procedure.
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38

M, Roopa, Venugopal H, Jayachandra, and Nagaral Madeva. "Soil Structure Interaction Analysis of a Single Layer Latticed Geodesic Dome." Indian Journal of Science and Technology 15, no. 7 (2022): 292–99. https://doi.org/10.17485/IJST/v15i7.35.

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Abstract <strong>Objectives:</strong>&nbsp;To analyze the soil structure interaction (SSI) behaviour of a geodesic dome for in situ soil conditions by using the response spectrum method (RSM).&nbsp;<strong>Methods:</strong>&nbsp;An existing geodesic dome of diameter 31m and a total height of 23.6 m is modeled using SAP2000, and the model is evaluated for the soil structure interaction. The existing geodesic dome structure falls under seismic zone II according to IS: 1893-2016, so the in-situ soil properties of the structure are considered to design the soil springs.&nbsp;<strong>Findings:</str
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39

Liang, Cho-Chung, Min-Fang Yang, and Yuh-Shiou Tai. "Prediction of shock response for a quadrupod-mast using response spectrum analysis method." Ocean Engineering 29, no. 8 (2002): 887–914. http://dx.doi.org/10.1016/s0029-8018(01)00062-2.

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Tian, Feng, and Hong Jie Si. "The Method of Fast Frequency Response Testing Based on LabVIEW." Applied Mechanics and Materials 433-435 (October 2013): 833–36. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.833.

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This paper designs a virtual spectrum analyst based on LabVIEW,chirp signal is used for pumping signal of the system. A fast frequency estimation method is realized by the graph programming language LabVIEW. Compared with traditional virtual spectrum analyst, this method can better and faster measure amplitude-frequency characteristic and phase frequency characteristic. The interference factors emerged frequently during the data acquisition were described briefly, and the technology of verification and manipulation of the anomalous signals were studied.
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41

Song, Jie, Zhi Gang Song, and Yi Jie Shen. "Analysis of RMS Acceleration Response Spectrum for Random Pedestrian Loads." Advanced Materials Research 261-263 (May 2011): 292–98. http://dx.doi.org/10.4028/www.scientific.net/amr.261-263.292.

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Pedestrian loads are affected by such uncertain parameters as walking step frequency, step length, dynamic load factors and phases of harmonic components, which lead to the uncertainties of structural response. A new method for calculation random response spectrum based on uniform design is introduced to reduce calculation work. A few representative samples of loads time histories are simulated using uniform design, and then the RMS acceleration response spectrums are obtained by dynamic time-history analysis of beam structures with different spans and damping ratios. The RMS acceleration resp
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42

Jia, Ling Ling, Hang Jing, and Yang Han. "Analysis of Ice Response Spectra with Nonlinear Interpolation Method." Advanced Materials Research 243-249 (May 2011): 93–96. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.93.

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In this paper, the successive computation formulas of ice response spectrum are derived and deduced based on the assumption of nonlinear interpolation method. And with the new way, the ice response spectrum of two true different ice temporal curves are analysized. The results indicate that the ice spectra value obtained by the new method is a litter greater than the values of the called precision method. And the error of the acceleration response spectra amplification coefficient is only 0.53%. therefore, this ice response spectra method presented by this paper can meet the request of precisio
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43

Ran, Xianwen, Bo Wang, Kun Zhang, and Wenhui Tang. "A Method to Optimize the Electron Spectrum for Simulating Thermo-Mechanical Response to X-ray Radiation." Symmetry 12, no. 1 (2019): 59. http://dx.doi.org/10.3390/sym12010059.

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The X-ray pulse originating from high altitude nuclear detonation (HAND) is mainly soft X-ray and its intensity is high enough to gasify the penetrated material and then lead to the severe thermo-mechanical deformation of unpenetrated material from the gasified blow-off effect. This effect cannot be directly reproduced in a lab for the lack of the X-ray source like HAND. At present, the low-energy relativistic electron beams resulting from an electron accelerator are usually used to approximately reproduce this effect, but the difference in the energy-deposited profile in materials between the
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44

FUKUDA, Tatsuki, Keiichi YANAGASE, and Takashi IWASA. "Approximate computing of shock response spectrum using reduced impedance method." Transactions of the JSME (in Japanese) 87, no. 896 (2021): 21–00036. http://dx.doi.org/10.1299/transjsme.21-00036.

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You, Jin-Sun, Won-Jik Yang, Waon-Ho Yi, and Hyoung-Joon Kim. "Propose of Capacity Spectrum Method by Nonlinear Earthquake Response Analysis." Journal of the Computational Structural Engineering Institute of Korea 27, no. 6 (2014): 501–8. http://dx.doi.org/10.7734/coseik.2014.27.6.501.

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Cho, Sung Gook, and Gihwan So. "In-Cabinet Response Spectrum Generation Using Frequency Domain Analysis Method." Journal of the Earthquake Engineering Society of Korea 24, no. 2 (2020): 103–10. http://dx.doi.org/10.5000/eesk.2020.24.2.103.

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Gao, Zhidong, Mi Zhao, Xiuli Du, M. Hesham El Naggar, and Junjie Wang. "Seismic analysis of underground structures employing extended response spectrum method." Tunnelling and Underground Space Technology 116 (October 2021): 104089. http://dx.doi.org/10.1016/j.tust.2021.104089.

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MIURA, Kenji, Kohji KOYAMADA, and Masanori IIBA. "RESPONSE SPECTRUM METHOD FOR EVALUATING NONLINEAR AMPLIFICATION OF SURFACE STRATA." Journal of Structural and Construction Engineering (Transactions of AIJ) 66, no. 539 (2001): 57–62. http://dx.doi.org/10.3130/aijs.66.57_1.

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Patil, Radhika S. "Seismic Analysis of Steel Frame Structure by Response Spectrum Method." International Journal for Research in Applied Science and Engineering Technology 8, no. 9 (2020): 927–32. http://dx.doi.org/10.22214/ijraset.2020.31646.

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Trifunac, Mihailo D. "75th Anniversary of the response spectrum method—A historical review." Soil Dynamics and Earthquake Engineering 28, no. 9 (2008): 675. http://dx.doi.org/10.1016/j.soildyn.2007.11.007.

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