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kindergarten, library, and dwellings were established at the other area where these official buildings located before the disaster, because all these official buildings were collapsed for the earthquake. The reconstruction of original area where these facilities were located before the disaster is still on the way. Continuous monitoring on both temporary town and reconstruction area is conducted using five CCD camera sets. Observations were started from April 19, 2001. The location and the images of CCD camera systems will be shown in Fig.4. 160 CCD1 CCD2 CCD3 CCD4 Fig. 4 Monitoring at Chungliao, Taiwan CCD5 3. IMAGE PROCESSING 3.1 Processing procedure These images are useful to understand present status and sequential images are useful to understand a physical disaster process by intuition. However, amount of data is huge and the development of automated data processing method is necessary to get the numerical data on the physical recovery. And to make a comparative study, the standardized procedure is indispensable. The method to get the time series of the physical recovery from a series of observed images will be discussed in this chapter. We will define the amount of buildings as the physical recovery degree from disaster. The observed data contains the noises such as 1) moving objects such as cars, people, 2) the shadow of buildings from the viewpoint, and weather such as rain. So removing these noises is the first step for image processing. In this paper, the basic procedure to get physical recovery degree using observed data is discussed. On the other hand, moving objects means physical recovery. This is a very important element to understand recovery process. 3.2 Removing the noises 3.2.1 Removing moving objects The method to get averaged image of observed images was used to remove moving objects
from observed images Fig 5 shows the results getting averaged image of three images. It shows that the cars observed in the image of March 25 and people observed m the image of April 6 are removed in the averaged image. 3.2.2 Removing shadows in observed Images There exist shadows of many objects such as trees, cars, and buildings in observed images. These have possibility recognized as the physical recovery during image processing The observed images have been composed from three colors, red, blue, and green. Each color has its own charactenstics against shadows. The method to remove shadows using these characteristics was developed. The procedure of this process is as follows. a Observed images are recomposed to law data of red, blue, and green (Fig 5) b The value of each color is adjusted into the value that does not have effects from the sunlight R'=(R-G/R+G)xlOO (1) B'=(B-G/B+G)xlOO (2) R' value has characteristic that effects from shadows is weak And R' value is used for die following analysis. c Comparing two sets of adjusted image according to following formulation. AR'=|RO'-R1'| (3) AR': Comparison result, RO'* Base Averaged Image , Rl': Reference Averaged image d. The compared images (acquired from process of c) are classified into two values, black and white according to a threshold. Threshold value 5 is used in this analysis. Acquired image will be shown in Fig.6. 3/25 10 00 4/6 10 00 4/20 10 00 Averaged image of 3/25 4/6 and 20 Averaged image of 5/181 Sand 20 Red Value Green Value Blue Value Fig.5 Removing Moving objects Fig.6 Shadows removed image 3.3 Acquiring amount of physical recovery There still exist many noises without physical recovery (ref. Fig6). These noises are generated from the effect of sunlight against existing buildings and the edge of roads. These noises are removed by the method of smoothing. The result is shown in Fig.7. And acquired results will convert to the GIS data. About the method for conversion will be discussed another paper.
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Proceedings of the International Co
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vw:. PREFACE Dunng a time when eart
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OPENING ADDRESS By Prof. Yuchen Liu
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Vll scientific support in our call
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IX INTERNATIONAL ADVISORY COMMITTEE
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XI Engineering Seismology and Geote
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Xlll Progress in the Seismic Design
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XV Crustal Deformation Measurement
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Legal Impediments There are many im
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expectation of (i) expanding the fr
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10 Some applications of wireless te
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12 Smart Materials Smart materials,
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14 research and education in a mult
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19 On September 16, 1994, buildings
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21 Some people were injured while t
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23 tallest buildings in Hong Kong w
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25 Figure 12. Tsim Sha Tsui East an
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27 OTHER ONGOING WORKS Soil-pile-st
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29 Figure 18. The pounding experime
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31 ACKNOWLEDGMENTS The writers are
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35 Table 1. Records Used in the Dev
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37 Date 8/19/1976 10/5/1977 12/16/1
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39 (2) Here Y is the ground motion
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41 1 2 3 4567810 20 3040 SO 100 200
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43 of the resultant horizontal comp
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45 200 006 005 004 003 002 Rock, Mw
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47 en o_ KOCAELI DATA (Random Hor C
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Atkinson G.M., Boore D.M., Some Com
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52 BACKGROUND AND SCOPES In order t
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configurations of cylinder, and it
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l 56 X xT / ^ V^—Ê-^/i / X\ - yX
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58 59-74 (in Japanese) [7] ISHIKAWA
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60 accuracy and efficiency, have no
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62 f •c J — c. p «3 no Fig. 2
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64 VARIOUS TESTS AND DISSEMINATION
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66 response.. The post-earthquake i
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71 with the potential for self-diag
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73 Semi-active Hydraulic (SHD) Cont
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75 Table 1 Buildings currently unde
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77 and the inside of the damper cyl
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79 Figure 16. MR damper installatio
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81 sensors. New algorithms must be
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83 Kobon T. (1998). Mission and per
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87 for a period range less than 3.0
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89 tens or more than a hundred acce
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91 In order to validate the conclus
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93 Distance (km) """"--Âcc. (g) Ma
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95 CONCLUSION In this paper the imp
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ENGINEERING SEISMOLOGY AND GEOTECHN
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100 analyses. This paper reviews th
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102 A comparison of spectral amplit
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104 the high speed with which FFT c
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106 8. Gold, B. and C.M. Rader (197
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108 Displacement Curves", Dept. of
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Page 128 and 129: Response and Fourier Spectra of Dig
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Page 132 and 133: 116 analysis. Other techniques incl
Page 134 and 135: It has been found that G max applie
Page 136 and 137: 120 PALEOLIQUEFACTION STUDIES IN ME
Page 138 and 139: Jardine, R.J., Potts, D.M., StJohn,
Page 140 and 141: 124 has received more attention. In
Page 142 and 143: 126 and log A tQ (/) is the mean so
Page 144 and 145: 128 O 10 s Frequency (Hz) Frequency
Page 146 and 147: 130 geometrical coefficient is near
Page 148 and 149: 132 optimizing method in many engin
Page 150 and 151: 134 Type-2 Fig.5 Three dimensional
Page 152 and 153: 136 plane plane sliding x-z section
Page 155 and 156: Proceedings of the International Co
Page 157 and 158: 141 1. System Definition define sys
Page 159 and 160: 143 f«l-.J WJjfc >. « Relations -
Page 161 and 162: 145 DS-5 Response Simulation across
Page 163 and 164: 147 CM 1 CM 2 CM 3 CM-4 CM-5 CM-6 H
Page 167 and 168: 151 Number of Pixels (Frequency) Th
Page 169 and 170: 153 Red: possible impacted areas Gr
Page 171 and 172: 155 Low reliability -(water-reflect
Page 175: Modem or Router Dial-up ISP The Int
Page 179 and 180: 163 Picked up building from image p
Page 183 and 184: 167 evaluated by Seed's approximate
Page 185 and 186: 169 R(z,N)is reached to 1 or more,
Page 187: 171 subsoil and combined with the n
Page 190 and 191: 174 defined target. Performance-bas
Page 192 and 193: 176 (probability of being in or exc
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Page 196 and 197: 180 MAX STORY DUCTILITY vs NORM. ST
Page 201 and 202: 185 Decision Making Support Tool' U
Page 205 and 206: 189 31 Array Liujiaxia Reservoir Ar
Page 207 and 208: 191 IV STATION YM kCED INTERVALS OF
Page 209 and 210: 193 at different stations, the diff
Page 213 and 214: 197 PROBLEMS AND CHALLENGES Earthqu
Page 215 and 216: 199 Database s*n/ar_- ^ " Applicati
Page 217 and 218: 201 o Fig. 7 VRML authoring - model
Page 219: SMART MATERIALS AND SMART STRUCTURE
Page 225 and 226: 209 vector of measured control forc
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211 To examine the effect of the co
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213 from Fig. 2, we can get the res
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Proceedings of the Intel-national C
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217 where gjî = g(X fcTl , F^+ît
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219 3 360 Deg. Fault Normal (Jan. 1
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221 Earthquake Sylmar 90 Sylinar 90
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225 0.6965, and 0.7094 Hz, which ar
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227 Two displacement sensors are po
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229 14% to 45% (under El Centre ear
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233 g ^ w (4) Notice that the stabi
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235 modes. An energy drop will be o
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237 PPF controller. The second mode
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241 In order to determine the appar
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243 RESULTS AND DISCUSSIONS Figure
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245 100 150 200 250 300 Magnetic Fl
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249 WOLFE, MASRI, CAFFREY Synthetic
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251 WOLFE, MASRI, CAFFREY Transform
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253 WOLFE MASRI,CAFFREY in parallel
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STRUCTURAL ANALYSIS AND DESIGN
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258 separating the above three effe
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260 200 300 400 SHAKE Computed RSD^
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262 where H b is the building heigh
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264 6. ACKNOWLEDGEMENTS The work de
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266 The objectives of this paper pr
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268 The comparison between abovemen
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270 determine the span of the state
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the assumption of the bi-linear for
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274 There are several outstanding e
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276 buildings with different concre
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278 160,000 - 140,000 _^ d Concrete
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280 responded in a fairly similar m
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282 CONCLUSIONS In this paper, the
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284 Li B, Park, R. and Tanaka, H. (
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For simplicity, a linear distributi
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equation can be re- written as: 288
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290 DESIGN BASE SHEAR Equating the
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292 by using the computer program S
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294 mutation. Elitist strategy mean
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296 2.3 Premature Judgment and Comb
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298 (3) F 3 : De Jone's F 5 3 (Shek
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300 3.3 Test Conclusions From the t
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30; excitation. Also, the software
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304 concrete frames as documented i
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30€ NEURAL NETWORKS Development I
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308 ACKNOWLEDGEMENTS The research r
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310 In order to ensure the entire s
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312 Examples of Seismic Design In K
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314 earthquake load can be reduced
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Proceedings of the Intel national C
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319 broken. Therefore, joint elemen
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321 the highest probability to get
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325 DESIGN SPECIFICATIONS Overview
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327 Strength Degradation The streng
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I 329 file £dit Vww Select Constru
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333 (1) (2) Where f t and _/£ are
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335 JL dalt (10) Where Solution of
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337 Fig.9 Distribution of first pri
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341 DISPLACMENT-BASED NSF In this p
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343 Define the displacement of the
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345 EXAMPLE The nonlinear static an
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347 REFERENCE Code for seismic desi
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350 including Hong Kong are conside
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352 structural engineers. Although
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354 4) Structural characteristics R
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356 maintain economy of design but
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358 R C3&OC11 L8C34 USC3 •••
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363 DISPLACEMENT CALCULATION FOR GR
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365 As shown in the figure, a model
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367 history of a design earthquake
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371 reflects the structure's useful
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373 have a membership degree betwee
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375 of initialization of structure,
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377 REFERENCE Zadeh, L A (1965), "F
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.0,(r+l,,)] (0 + A (3) 383 -l.y)] (
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385 The first example is come from
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387 REFERENCES Leroueil, S. (2001).
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391 maximum friction force and ther
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393 the stiffness of the bracing an
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395 splacemen (m) Bared —Braced/D
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399 Figure 1: Two-surface Model Def
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401 time, one must integrate over t
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403 CONCLUSIONS In the previous sec
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407 Response Control by Magneto-Rhe
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409 s e a ooo j| soo y 0 c l83Hz ,5
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411 *fU O A 20 7 HA I , 2 4A .'.-%-
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415 Wind Velocity (t J Relative Dis
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417 Fig. 5 4ttractor (time lag=l) F
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419 concluded that the real time re
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422 (LQR/LQG), H M and the instanta
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424 damping ratio provided by the c
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426 by Eqn. 2.9 and Eqn. 2.12, resp
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428 Fig.5.4 shows the comparison of
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Innovation is driving control devic
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432 STRUCTURAL ENERGY DURING VIBRAT
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434 Equilibrium Price of Power With
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436 CONCLUSION The scope of this re
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438 The effectiveness of the seismi
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440 anti-symmetnc mode excited by t
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442 Base Isolation System The base
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444 each member along or adjacent t
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446 2 PROJECT PARTICIPANTS Concerni
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448 3.1.2 Investigations at Seyhan
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450 Fig. 4.2: principle drawing of
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452 no TMD — TMD with optimal tun
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454 In this paper, a stochastic opt
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456 The dynamical programming equat
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458 control strategy. Model reducti
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460 (AMDs) and the proposed control
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465 Specimen 1 Specimen 1 represent
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467 increased the beam moment stren
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469 3 4@8 ~T / C 4 #5 #3 stirrups 8
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473 Phase 2: The sliding of the bot
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475 4.2 Effect of Coefficient of Fr
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477 -ZETA=Q 05 -ZETA=010 -ZETA=015
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479 031 en 03 0029 P |Q 28 ~*—MR=
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482 stiffness or coefficient of vis
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484 solved for the Hamilton Jacobi-
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486 posed to be the accelerations o
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488 vlaxacccleiation [my O O O O
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490 INTRODUCTION In recent years, t
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492 Since earthquake motion has bee
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494 confirmed in the X direction. B
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496 yielding metallic dampers, and
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498 where the coefficients a m and
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500 modal damping ratio of 2% in ea
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502 CONCLUDING REMARKS The paper re
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504 semi-active and hybrid control
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506 Iiz2i(t)l
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508 defined as 114 - [ J* [•] 2 d
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Spencer, B.F., Jr. and Sain, M.K. (
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512 with the rapid success of seism
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Figure 3 summarizes the static push
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CONCLUSIONS 516 This paper presents
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518 1 OS h : 0 6 5 5 04 Transverse
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520 TABLE 1 REPRESENTATIVE MULTISTO
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522 obtained by simply averaging a
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524 levels of peak ground accelerat
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526 8 CONCLUSIONS This paper gives
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531 350.6m 142.7m .0130') i (468')
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533 cation corresponds to a node of
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535 listed separately. Vertical mod
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539 in which H = [H(t l ), H(t 2 ),
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541 identification results of struc
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543 history to be polluted. In the
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548 environment constraints and the
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550 where F is the fundamental matr
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552 drift ratio was determined as Y
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554 were observed in the vision-sys
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556 The most well-known Bayesian so
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558 achieved by the EKF estimates I
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560 0 2 4 5 3 10 12 14 16 18 20 0 2
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562 CONCLUSION In this study, the r
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564 Figure 1 - Prototype wireless s
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566 will vary from that of the ARX
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568 A 11 25" 11 25" 1 T 1 11 25* !
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570 CONCLUSION The realization of a
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572 the structural response and ret
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574 The ratios of base shear at dif
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576 SECTION A-A COLUMN DETAIL AT TO
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578 Stress Strain Fig. 6 Superelast
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580 Genetic Algorithm(GA) and the M
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582 IDENTIFICATION ALGORITHM State
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584 the simulated structural respon
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586 GA-MCF, the number of particles
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588 instrumentation to monitor and
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590 If we compare this peak value w
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592 2.3 Sampling rate Structural mo
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594 Any remote station that has the
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596 or receives environmental infor
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598 Comparisons of Proposed E-Monit
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600 LCD display Earthquake Warning
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605 Kishwaukee River Bridge consist
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607 the table, the monthly maximum
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609 3.2 L VDTData Analysis LVDT sen
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structural response energy with fre
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615 Table 1: Fundamental natural fr
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617 JUSTS rs s." WUUR. 4 20O2 IS 44
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1-1 INDEX OF CONTRIBUTORS Volumes I
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Ths OOO F X ^s dje foe return 01 ê
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