Paper Writing Service - HelpWriting.net 👈 ✅ Quality You get an original and high-quality paper based on extensive research. The completed work will be correctly formatted, referenced and tailored to your level of study. ✅ Confidentiality We value your privacy. We do not disclose your personal information to any third party without your consent. Your payment data is also safely handled as you process the payment through a secured and verified payment processor. ✅ Originality Every single order we deliver is written from scratch according to your instructions. We have zero tolerance for plagiarism, so all completed papers are unique and checked for plagiarism using a leading plagiarism detector. ✅ On-time delivery We strive to deliver quality custom written papers before the deadline. That's why you don't have to worry about missing the deadline for submitting your assignment. ✅ Free revisions You can ask to revise your paper as many times as you need until you're completely satisfied with the result. Provide notes about what needs to be changed, and we'll change it right away. ✅ 24/7 Support From answering simple questions to solving any possible issues, we're always here to help you in chat and on the phone. We've got you covered at any time, day or night. Essay On Earthquake The data from nine earthquakes happened in winter and summer time, with magnitudes ranging from M 3.0 to M5.7, was collected at a sampling rate 200 Hz and preprocessed for the further analysis [4]. Then, dynamic properties of the structure were obtained using modal property identification toolbox (MPIT 2.0) developed at the University of Auckland [13]. The modes were determined from the following system identification algorithms:

1. Essay On Earthquake
The data from nine earthquakes happened in winter and summer time, with magnitudes ranging from M 3.0 to M5.7, was collected at a sampling
rate 200 Hz and preprocessed for the further analysis [4]. Then, dynamic properties of the structure were obtained using modal property
identification toolbox (MPIT 2.0) developed at the University of Auckland [13]. The modes were determined from the following system
identification algorithms: –Frequency domain methods: the peak picking (PP), the frequency domain decomposition (FDD), the enhanced
frequency domain decomposition (EFDD) –Time domain method: stochastic subspace identification (SSI) method [14] identifying the stable
poles by generating singular values around them from the singular value...show more content...
Then, the most plausible modes was chosen by comparison of MAC values of each date for each SI algorithm. Since fundamental mode of
the bridges always excited by the translational ground motions during earthquakes, transverse components of mode shapes only were
described in this research to estimate the input of different bridge components on the bridge dynamic response. The frequency values obtained
by each method, except of SSI for summer dataset, at each season and their mean and coefficient of correlation are shown in Table 3.1 and
Table 3.2. From this figure, the values of fundamental transverse frequency identified by each method are highly correlated for all methods, the
mean coefficient of variation was no more than 0.02. In addition, no relationship between the transverse frequency and the depth of frozen soil
at specific dates was observed. A high correlation between mode shapes, with MAC value 0.95 or higher, was observed for two frequency
domain methods only, FDD and EFDD. Therefore, the average values of natural transverse frequency calculated from the values identified by
each method, 7.69 Hz and 2.85 Hz, and mode shapes obtained by FDD technique (Figure 3.1) were chosen as a baseline experimental values for
the further calibration of the numerical models developed for winter and summer respectively. The bridge transverse response is mainly
symmetrical; the possible
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