Journal of AE, Volume 27, 2009 (ca. 35 MB) - AEWG

More documents

Recommendations

Info

Further analysis was made on-site using different location setups. The same location appeared also during post-processing when only channels 1 and 4 (having a distance of about 110 m) were used for locating the AE source. The pipeline was exposed at the advised location and a 7-mm hole was found as the cause of the leak. Total test duration was less than 1 day. Fig. 3. Waveforms (Top part), and amplitudes vs. arrival times of a leak AE signal on 4 different channels. Test Case 3: Pipeline leak detection in a 1.5-km, 4”-diameter pipeline. When pressurized to 34 bar the pressure was dropping to 0 bar in an average rate of 2 bar/hr, which suggested a small, active leak. For the test, the pipe had been filled with water and the pressure was kept nearly constant at approx. 9 bar. A portable AE device (PAC 5110) provided initial information (ASL measurements) for the existence of a leak in the pipe. After this indication the investigation was focused on a road crossing, about 92 m of the pipe. A desktop, multi-channel Acoustic Emission system (MISTRAS 2001) was used to find the actual position of the leak. Real-time linear location indicated a possible leak at approx. 4.6m from the position of sensor no.3. Figure 5 presents the location graphs that provided indications about the leak position. A 3m length of the pipe was exposed at the location suggested by AE and a small dripping leak was found. Test Case 4: Pipeline Leak detection in a 100-m, 5”-diameter pipeline. The pipe was reported to lose pressure from 30 bar down to 3 bar after 10 minutes when pressurized. For the AE test, the pipe had been filled with water and the pressure was kept nearly constant at approx. 25 bar. A desktop system (PAC 24ch.-DiSP) was used to find the exact position of the leak. Real-time linear location indicated a possible leak located near sensor No. 3. Figure 6 shows the ASL measurements (top graph) and the linear location (two bottom graphs) during the AE acquisition where both manual and automatic threshold adjustments (“smart threshold”) were employed. Note that the linear location graph based on the number of hits (2nd 31
Fig. 4. ASL vs. channel (top) and linear location indicating the leak point based on number of hits, energy and counts (bottom) of the acquired signals, after only 240 seconds of acquisition. Fig. 5. ASL measurements indicated the suspected leaking area between channels 2 and 3. AE system graphs located the exact leak position, after 27 minutes of acquisition. 32
Page 2 and 3: Journal of Acoustic Emission, Volum
Page 4 and 5: and HISAKAZU MORI 233-240 27-241 EF
Page 6 and 7: JOURNAL OF ACOUSTIC EMISSION Editor
Page 8 and 9: MEETING CALENDAR: EWGAE29 EWGAE-201
Page 10 and 11: eference in that document to see if
Page 12 and 13: AE LITERATURE Chinese Acoustic Emis
Page 14 and 15: Li Guanhai, Liu Shifeng (Tsinghua U
Page 16 and 17: Monitoring during Landing Gear Cont
Page 18 and 19: MONITORING THE CIVIL INFRASTRUCTURE
Page 20 and 21: including stringers, floor beams (i
Page 22 and 23: Fig. 3. A sensor array for monitori
Page 24 and 25: Fig. 7. Maintenance follow-up recom
Page 26 and 27: Fig. 9 Fatigue-prone location on th
Page 28 and 29: ACOUSTIC EMISSION TESTING OF A DIFF
Page 30 and 31: adius of each other in order to pas
Page 32 and 33: Fig. 3. AE transducer arrays. (a) A
Page 34 and 35: References Holford, K. and Lark, R.
Page 36 and 37: Unfortunately, there are neither a
Page 38 and 39: Table 2: Total damage extension of
Page 40 and 41: Some structures, even when visibly
Page 42 and 43: identification processes leading to
Page 44 and 45: ACOUSTIC EMISSION LEAK DETECTION OF
Page 46 and 47: evaluate and to calculate the linea
Page 50 and 51: graph) shows higher activity betwee
Page 52 and 53: Fig. 8. (a) Aerial photo of the com
Page 54 and 55: Fig. 12. ASL measurements at 8.3 ba
Page 56 and 57: Today’s modern AE systems offer i
Page 58 and 59: Fig. 1: Primary AE parameters [6].
Page 60 and 61: Fig. 4: Backpropagation neural netw
Page 62 and 63: does not drop below the set thresho
Page 64 and 65: Fig. 8: Amplitude histogram for a t
Page 66 and 67: Table 2 shows the tests for the 3.8
Page 68 and 69: Fig. 14: Cumulative energy versus c
Page 70 and 71: crack jumps have a higher amplitude
Page 72 and 73: etween these two fatigue life value
Page 74 and 75: Table 5: 25% HCF BPNN testing file.
Page 76 and 77: Fig. 23: Range of data used for 50%
Page 78 and 79: 4. Conclusions and Future Work Acou
Page 80 and 81: [15] Suleman, J., Korcak, A., Barso
Page 82 and 83: on the resin plate hardness or its
Page 84 and 85: Fig. 4 Schematics of cutting load a
Page 86 and 87: (a) Line force during idle cutting
Page 88 and 89: (a) Non-arranged die type, f imax /
Page 90 and 91: Fig. 11 Sensor position and impact
Page 92 and 93: Fig. 14 Relationship between Δf im
Page 94 and 95: DAMAGE ONSET AND GROWTH IN CARBON-C
Page 96 and 97: (a) (b) (c) Fig. 1. (a-b) Polarized
Page 98 and 99:
Fig. 4(c). The dependency of the th
Page 100 and 101:
Fig. 6 (c) cumulative AE counts at
Page 102 and 103:
as shown schematically in Fig. 8(a)
Page 104 and 105:
(a) (b) (c) (d) Fig. 11. Micro-fail
Page 106 and 107:
FUNDAMENTAL STUDY ON INTEGRITY EVAL
Page 108 and 109:
Fig. 3 UT C-scan images of internal
Page 110 and 111:
Fig. 7 AE signal peak amplitude and
Page 112 and 113:
Fig. 9 Relationship between AE sign
Page 114 and 115:
monotonically with load. As mention
Page 116 and 117:
A phenomenon of stress wave generat
Page 118 and 119:
where plus sign refers to the first
Page 120 and 121:
kHz. The result of filtration is sh
Page 122 and 123:
Sphere radius, R, mm Sphere mass, m
Page 124 and 125:
Regime ρV 2 /Yd (MPa) Approximate
Page 126 and 127:
a b Fig. 6. AE signal at the remote
Page 128 and 129:
a b Fig. 9. AE waveforms from impac
Page 130 and 131:
9. А.А. Harkevich, Spectrums and
Page 132 and 133:
amplitudes in the AE signals. In th
Page 134 and 135:
Fig. 2. Signals from small aperture
Page 136 and 137:
Fig. 4. Signals from small aperture
Page 138 and 139:
during the duration of the direct w
Page 140 and 141:
Fig. 8. Expanded time scale view of
Page 142 and 143:
Fig. 10. Displacement signal result
Page 144 and 145:
Fig. 12. Top surface out-of-plane d
Page 146 and 147:
Fig. 14. Signals from small apertur
Page 148 and 149:
Fig. 16. Filtered signal showing hi
Page 150 and 151:
Fig. 18. WTs of the first 200 µs o
Page 152 and 153:
Summary There are three summary obs
Page 154 and 155:
FRACTURE BEHAVIOR IN BONE CHARACTER
Page 156 and 157:
Fig. 2. Schematic diagram of static
Page 158 and 159:
and AE events during loading were d
Page 160 and 161:
References [1] Hirai T., Katayama T
Page 162 and 163:
where and stand for the strain-hard
Page 164 and 165:
Experimental The samples for mechan
Page 166 and 167:
Fig. 4. Typical AE waveforms and th
Page 168 and 169:
detected just before the upper yiel
Page 170 and 171:
the AE energy in iron upon Lüders-
Page 172 and 173:
The most intriguing issue, which ha
Page 174 and 175:
ACOUSTIC AND ELECTROMAGNETIC EMISSI
Page 176 and 177:
Fig. 2 Sample assembly: (a) setup f
Page 178 and 179:
We have observed that the EME signa
Page 180 and 181:
EME under Repeated Loading Rectangu
Page 182 and 183:
the fact that the AE due to the fri
Page 184 and 185:
Abstract IDENTIFICATION OF AE MULTI
Page 186 and 187:
sensor/sonde/surface units have fla
Page 188 and 189:
Fig. 3. Coherency between a pair of
Page 190 and 191:
These multiplets may be related to
Page 192 and 193:
Fig. 7. Hypocenter location and sou
Page 194 and 195:
Accordingly, semi-supervised or uns
Page 196 and 197:
Indeed, the AE events are also non-
Page 198 and 199:
Fig. 5. Overlap plot of AE events f
Page 200 and 201:
(a) Individual Events Test 1 Test 2
Page 202 and 203:
Fig. 10. The distribution of event
Page 204 and 205:
loading tests of concrete elements
Page 206 and 207:
Fig. 4: Typical cracking of specime
Page 208 and 209:
(a) Plain concrete. (b) Composite.
Page 210 and 211:
3) T. Shiotani, M. Shigeishi and M.
Page 212 and 213:
data cannot be recorded by most exp
Page 214 and 215:
where A and I are the area and mome
Page 216 and 217:
Fig. 3 Loading condition for the si
Page 218 and 219:
4. Simulation Results 4.1 Stress-st
Page 220 and 221:
dilatancy observed in an actual uni
Page 222 and 223:
Fig. 9. Energy-frequency distributi
Page 224 and 225:
After the AE cluster formation, mic
Page 226 and 227:
Fig. 13 Spatial distribution of all
Page 228 and 229:
7. J.F. Hazzard and R.P. Young: Int
Page 230 and 231:
obvious that the calibrating AE sou
Page 232 and 233:
Fig. 2. Geometry and schematic illu
Page 234 and 235:
The boundary conditions for tempera
Page 236 and 237:
Calculations have shown that in ord
Page 238 and 239:
Fig. 9. Example of an AE sensor cal
Page 240 and 241:
Hence, the distinct features and ad
Page 242 and 243:
Developed Sensor Configuration Rela
Page 244 and 245:
In this study, the sensor width was
Page 246 and 247:
Fig. 8 Typical AE waveforms and the
Page 248 and 249:
Fig. 11 Relationship between shell
Page 250 and 251:
CORROSION DETECTION BY FIBER OPTIC
Page 252 and 253:
sensor by an FOD sensor. Due to the
Page 254 and 255:
Corrosion AE Monitoring AE monitori
Page 256 and 257:
operated at the normal condition. S
Page 258 and 259:
EFFECT OF SHOT PEENING ON THE DELAY
Page 260 and 261:
Figure 1 shows the SSI and three-po
Page 262 and 263:
stresses do not give any positive e
Page 264 and 265:
Fig. 7 Examples of Lamb waveforms p
Page 266 and 267:
Figure 10 shows results of an SSI t
Page 268 and 269:
as-received strip. It is noted that
Page 270 and 271:
Almen strips were charged in less a
Page 272 and 273:
more AE transducers. AE events may
Page 274 and 275:
Given the data with , and the new d
Page 276 and 277:
Fig. 4. Projection of AE data: (a)
Page 278 and 279:
Table 2. Feature-discriminated stat
Page 280 and 281:
FLEXURAL FAILURE BEHAVIOR OF RC BEA
Page 282 and 283:
Table 2. Weight loss of rebar after
Page 284 and 285:
(a) Global (b) Close up (only skele
Page 286 and 287:
AE hits. By comparison among corros
Page 288 and 289:
dots). It seems that the ratio of A
Page 290 and 291:
Fig. 1. The scheme of double-bottom
Page 292 and 293:
Fig. 3. The other two at 2 and 7 o
Page 294 and 295:
Fig. 6. Located AE sources with the
Page 296 and 297:
Fig. 10. The intensity of recorded
Page 298 and 299:
STUDY OF IDENTIFICATION AND REMOVAL
Page 300 and 301:
Fig. 4 2D Location result with ch5-
Page 302 and 303:
Fig. 8 Noise removal result with th
Page 304 and 305:
Identification and removal for drop
Page 306 and 307:
It was confirmed that a minimum thi
Page 308 and 309:
A GENERIC TECHNIQUE FOR ACOUSTIC EM
Page 310 and 311:
where ∆t exp are the experimental
Page 312 and 313:
stone disc. Oolitic limestone is a
Page 314 and 315:
CFC plate test, larger errors occur
Page 316 and 317:
ACOUSTIC EMISSION TESTING - DEFININ
Page 318 and 319:
What is the detection performance o
Page 320 and 321:
A.3. Performance analysis - Calcula
Page 322 and 323:
- Planar testing configuration (2.5
Page 324 and 325:
Whereas in the planar testing confi
Page 326 and 327:
We can see that full use of the pla
Page 328 and 329:
B.3. Influence of the minimum numbe
Page 330 and 331:
technique such as GBP in France, au
Page 332 and 333:
Page 149 Elastic Waves in Solids Ro
Page 334 and 335:
A Note from the Editor Kanji Ono Nu
Page 336 and 337:
Page 173 5th Colloquium on AE D. Sc
Page 338 and 339:
S78 S82 S86 S90 S94 On the Applicat
Page 340 and 341:
S247 In-Process Acoustic Emission M
Page 342 and 343:
Page i Appreciation K. Ono / Europe
Page 344 and 345:
Page 83 Number 2 Page 85 Page 93 Pr
Page 346 and 347:
Page 111 Page 119 Page 129 Page 129
Page 348 and 349:
S53 S57 S62 S66 S70 S71 S75 "AE App
Page 350 and 351:
S231 S236 Vessels", S238 S239 "Tool
Page 352 and 353:
Number 4 Page 65 Page 93 Page 99 A
Page 354 and 355:
Page 197 Page 203 Nondestructive Ev
Page 356 and 357:
M. Momayez, F. P. Hassani and H. R.
Page 358 and 359:
Number 3 Page C1-C24 Page 95-99 Pag
Page 360 and 361:
12th International Acoustic Emissio
Page 362 and 363:
Source Simulation Analysis Hiroaki
Page 364 and 365:
Page S70-S79 Page S80-S88 Page S90-
Page 366 and 367:
Page S343 Page i-iii Page iii Page
Page 368 and 369:
A. Tsimogiannis, B. Georgali, and A
Page 370 and 371:
VOLUME 19, 2001 ACOUSTIC EMISSION E
Page 372 and 373:
VOLUME 20, 2002 Contents 20-001 DAM
Page 374 and 375:
20-285 ACOUSTIC EMISSION CHARACTERI
Page 376 and 377:
21-197 New Concept Of Ae Standard:
Page 378 and 379:
22-243 Rods And Tubes As Ae Wavegui
Page 380 and 381:
23-196 Ae And Electrochemical Noise
Page 382 and 383:
Kazuaki Arai, Katsuyuki Kaiho, Hiro
Page 384 and 385:
25-132 A SIMPLE METHOD TO COMPARE T
Page 386 and 387:
25-373 IMPACT IMAGING METHOD TO MAP
Page 388 and 389:
High-Voltage Electric Devices Jan P
Page 390 and 391:
27-212 ELECTROMAGNETIC METHOD OF EL
Page 392 and 393:
Authors Index, Volumes 1-27 (1982-2
Page 394 and 395:
Thomas Bidlingmaier 14-S47 Jacek M.
Page 396 and 397:
S. Y. Chuang 4-S137 S. S. Christian
Page 398 and 399:
J.-P. Favre 9-97 Carol Featherston,
Page 400 and 401:
Y. Haddad 8-S314 M. E. Hager 8-S42
Page 402 and 403:
Y. Ichimura 19-142 Makoto Ichinose
Page 404 and 405:
Kunihisa Katsuyama 11-S27 Harold E.
Page 406 and 407:
MOSHE KUPIEC, 27-077 D. S. Kupperma
Page 408 and 409:
Eric Madaras 23-037 M. R. Madhava 8
Page 410 and 411:
F. Mostert 18-189 Andre Moura 23-10
Page 412 and 413:
Tatsuma Ohnishi 19-109 Tadashi Onis
Page 414 and 415:
M. Raab 20-274 Amani Raad 20-300 Ja
Page 416 and 417:
Keiichi Sato, 4-S240, 8-S213, 9-209
Page 418 and 419:
Wolfgang Stengel 4-S312 D. Stöver
Page 420 and 421:
R.G. Tobin 8-25 Akira Todoroki 26-1
Page 422 and 423:
M. Wevers, 4-S186, 8-S272, 13-79, 1
Page 424:
Daihua Zou 5-S1 Ryszard Zuchowski 2
show all

Journal of AE, Volume 27, 2009 (ca. 35 MB) - AEWG

Create successful ePaper yourself

Delete template?

Save as template?