3 edition of Estimation of response-spectral values as functions of magnitude, distance, and site conditions found in the catalog.
Estimation of response-spectral values as functions of magnitude, distance, and site conditions
|Statement||by W.B. Joyner and D.M. Boore.|
|Series||Open-file report -- 82-881., Open-file report (Geological Survey (U.S.)) -- 82-881.|
|Contributions||Boore, David M., Geological Survey (U.S.)|
|The Physical Object|
spectra as a function of earthquake magnitude, the distance from the earthquake source, and the type of geologic material underlying the site. These equations were based on data obtained through , and they used a binary classification ("rock" and "soil") for the geologic materials. Many more data have been collected since Cited by: Modern Spectral Estimation: Theory and Application/Book and Disk. Steven M. Kay. Modern Spectral Estimation: Theory and Application/Book and Disk frequency estimation given hermitian IEEE Trans input inverse large data records least squares Levinson recursion likelihood function linear prediction maximum likelihood minimize minimum.
An explanation for the different observations of ϕ's dependency on distance and magnitude may be found in the dependence of response spectral amplification on the input motion (e.g. Bora et al., ). Given that resonance effects in site response depend greatly on the site type (e.g. long-period resonance for deep sedimentary basins and high Cited by: of exceedence of 2% in 50 years at T ¼ 2s(Crouse et al. ). Mapped values of T L for the conterminous United States show a large variability, ranging from 4 s (for M d in the – range) up to 16s (M d in the – range). As a final remark, it is worth noting that in all these codes, T D (or T L) does not depend on site conditions.
estimating the peak discharges of the 2-, 5-, , , , , , and yea r recur ence int val floods on rural, unregulated, streams in West Virginia. The report documents the information used to estimate the magnitude and frequency of flooding. The docu mentation includes the . Although each earthquake has a unique Magnitude, its effects will vary greatly according to distance, ground conditions, construction standards, and other logists use a different Mercalli Intensity Scale to express the variable effects of an earthquake. Each earthquake has a unique amount of energy, but magnitude values given by different seismological observatories for an event.
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The degree to which the shape of response spectra depends on magnitude, distance, and site conditions an important issue in engineering seismology in view of the common practice of deriving design spectra by using peak acceleration to scale spectra of constant shape.
NETHOO We fit the response spectral data at each period using a two-stepCited by: 2. Get this from a library. Estimation of response-spectral values as functions of magnitude, distance, and site conditions.
[W B Joyner; David M Boore; Geological Survey (U.S.)]. vertical logarithmic response spectral values, respectively. These predictions are a function of the earthquake magnitude (M), distance (R), period (T), and other parameters (h), such. The work was performed by a systematic study ofresponse spectra as a function of magnitude and site conditions, usingrecords from the European Strong-Motion results confirm the.
Earthquake magnitude ranging from 4 tosource-to-site distance from 7 to 80 km and three different site conditions were considered: rock, stiff soil and soft : J. Douglas. Estimate of spectral and pseudo-spectral acceleration proximity.
distance, magnitude, mechanism, source-to-site azimuth, and event chronology). A simple model is proposed in the form of a.
Informal Deﬁnition of Spectral Estimation Given: A ﬁnite record of a signal. Determine: The distribution of signal power over frequency. t signal t=1, 2, File Size: KB. $\begingroup$ The problem with this potential solution is, if the phase is unknown about an existing transfer function, FDLS may converge on the wrong solution if the wrong phase is assumed, no matter how accurately the order is correctly guessed or the magnitude response is measured.
$\endgroup$ – hotpaw2 Mar 12 '13 at Two different types of psychophysical scales can be used when the experimenter designs the response region of magnitude estimation.
One is a unipolar scale and the other is a bipolar scale. Each scale has unique properties with regard to magnitude by: The method of magnitude estimation is used in psychophysical studies to obtain numerical values for the intensity of perception of environmental stresses (e.g., noise and vibration).
The exponent in a power function relating the subjective magnitude of a stimulus (e.g., the degree of discomfort) to the physical magnitude of the stimulus shows Cited by: These equations use scaling in terms of moment magnitude M W, and describe the local site conditions in terms of V 30, the shear wave velocity in the top 30 m of soil.
Magnitude Estimation is a psychophysical method in which participants judge and assign numerical estimates to the perceived strength of a stimulus. This technique was developed by S. Stevens in the s (e.g., Stevens, ).
Magnitude estimation usually works in the following way. If you need a more accurate estimation than this algorithm provides, you can use some variation of it. For example, varying values of Alpha and Beta can be taken from a small lookup table, driven by the relative size of min and max values.
Another possibility is to use this estimate as the “seed” of an iterative magnitude estimator. “Correlation of response spectral values in Japanese ground motions.” Earthquakes and Structures, 2(4), Ground motion models predict the mean and standard deviation of the logarithm of spectral acceleration, as a function of predictor variables such as earthquake magnitude, distance and site condition.
Predictive equations based on the stochastic approach are developed for earthquake ground motions from Garhwal Himalayan earthquakes of ≤M w ≤ at a distance of 10≤R≤ km. The predicted ground motion parameters are response spectral values at frequencies from to 20 Hz, and peak ground acceleration (PGA).Cited by: 4.
This is in direct contrast with analysis of the average spectral magnitude. The magnitude of the measured signal depends not only on the power of the signal, but also on the frequency content and the power of noise sources unrelated to the stimulus that are present in the by: Model parameters are indicated by crosses.
B6hme / Estimation of spectral parameters (with respect to exact spectral noise power) over estimated bearing are depicted. Exact values given by the parameters of the model are denoted by crosses.
The results of a statistical analysis of these data are shown in Fig. 2(a)-(g).Cited by: Estimation: Could Fourier Transform the Cross-correlation function estimate (not computationally efficient). Could use the frequency domain definition directly.
Raw Estimate = As with PSD, this has extremely poor variance characteristics, so – divide the time histories into segments, – generate a raw estimate from each segment, and. Spectral Analysis Background Information Spectral Estimation Method Nonparametric Methods Parametric Methods Using FFT to Obtain Simple Spectral Analysis Plots Background Information The goal of spectral estimation is to describe the distribution (over frequency) of the power contained in a signal, based on a finite set of data.
source, path, and site have been commonly represented in a simplified manner by earthquake magnitude, source-to-site distance, and local subsurface conditions. The important influences of these factors on ground motion are summarized below.
Effects of earthquake magnitude and distance on ground motions. (1) Size: KB. : Modern Spectral Estimation: Theory and Application/Book and Disk (Prentice-Hall signal processing series) (): Kay, Steven M.: BooksAuthor: Steven M.
Kay.Stevens's power law is an empirical relationship in psychophysics between an increased intensity or strength in a physical stimulus and the perceived magnitude increase in the sensation created by the stimulus.
It is often considered to supersede the Weber–Fechner law, which is based on a logarithmic relationship between stimulus and sensation, because the power law describes a wider range. To estimate the amplitude field at short epicentral distance the spectral model ω2  is used.
The maximum spectral velocity amplitudes and their respective periods are investigated. Theoretical amplitude curves are obtained under the assumption that the monochromatic spectral amplitudes attenuate proportionally to their frequency. The amplitude curves for different magnitudes Cited by: 2.