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Gotowe bibliografie tematyczne / RESPONSE SPECTRUM METHOD

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Artykuły w czasopismach

Gotowa bibliografia na temat „RESPONSE SPECTRUM METHOD”

Autor: Grafiati

Data publikacji: 11 września 2023

Data aktualizacji: 7 lipca 2025

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Artykuły w czasopismach na temat "RESPONSE SPECTRUM METHOD"

1

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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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 determining the dynamic response of measuring instruments on computers equipped with the MatLab package.To implement the spectral method for determining the dynamic response of measuring instruments, we developed a program in the MatLab 2013b environment that determines the signal amplitude spectrum from zero Hertz. The program reads the source data from Excel tables and presents the calculated amplitude spectrum as a chart and a report table.It is shown that the developed program calculates the signal amplitude spectrum with a standard deviation of not more than 3.4 % in the frequency range of 0 to 10 rad/s. The calculated amplitude spectrum allows determining the time constant of first-order aperiodic measuring instruments with an uncertainty of not more than 0.166 % at any noise level, if their frequencies are outside the information part of the spectrum.We demonstrated the claimed advantage of the spectral method for determining dynamic response using the developed program by the example of a high-frequency noise in the transient response of some measuring instruments.

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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 forces results show that vertical component of the ground motion greatly influences the response of the bridge and there is significant difference between the results of the two probabilities.

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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

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 spectral densities of ice force, a large amount of ice force time-history samples are firstly generated for each ice zone. The time-history of the maximum responses of a series of single degree of freedom systems with different natural frequencies under the ice force are calculated and subsequently, a response spectrum curve is obtained. Finally, by fitting all the response spectrum curves from different samples, the design response spectrum is generated for each ice zone. The ice force influence coefficients for crushing and bending failure are obtained, which can be used to estimate the stochastic sea ice force acting on a structure conveniently in a static way. A comparison of the proposed response spectrum method with the Monte Carlo method by a numerical example shows good agreement.

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6

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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7

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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8

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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9

Li, Jing, and Xin Wang. "A Power Spectral Analysis Method for Wind-Induced Response of Flexible Structures." Applied Mechanics and Materials 405-408 (September 2013): 1125–29. http://dx.doi.org/10.4028/www.scientific.net/amm.405-408.1125.

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A relational expression of wavelet packet coefficients and power spectrum is derived based on the theories of wavelet packet analysis. The new expression is proposed to compute the power spectrum of wind-induced response of structures. Further, the approach is applied to the power spectral analysis of the response signals of a large-span roof structure, and the accuracy of spectral estimation for stochastic signals is verified.

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10

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 square fitting method is a simple and logical calibrating method.

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