Lab#6

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Unformatted text preview: 08 7:37:56 AM 457.93 3.6394 0.2279 363.94 0.12279 696.9000 10/6/2008 7:38:56 AM 458.93 3.6384 0.2278 363.84 0.12278 697.9000 10/6/2008 7:39:56 AM 459.93 3.6373 0.2278 363.73 0.12278 698.9000 10/6/2008 7:40:56 AM 460.93 3.6362 0.2279 363.62 0.12279 699.9000 10/6/2008 7:41:56 AM 461.93 3.6353 0.2279 363.53 0.12279 700.9000 10/6/2008 7:42:56 AM 462.93 3.6342 0.2278 363.42 0.12278 701.9000 10/6/2008 7:43:56 AM 463.93 3.6333 0.2278 363.33 0.12278 702.9000 10/6/2008 7:44:56 AM 464.93 3.6322 0.2279 363.22 0.12279 703.9000 10/6/2008 7:45:56 AM 465.93 3.6314 0.2278 363.14 0.12278 704.9000 10/6/2008 7:46:56 AM 466.93 3.6304 0.2278 363.04 0.12278 705.9000 10/6/2008 7:47:56 AM 467.93 3.6296 0.2278 362.96 0.12278 706.9000 10/6/2008 7:48:56 AM 468.93 3.647 0.228 364.70 0.1228 707.9000 10/6/2008 7:49:56 AM 469.93 3.6475 0.2281 364.75 0.12281 708.9000 10/6/2008 7:50:56 AM 470.93 3.6466 0.228 364.66 0.1228 709.9000 10/6/2008 7:51:56 AM 471.93 3.6458 0.2281 364.58 0.12281 710.9000 10/6/2008 7:52:56 AM 472.93 3.6451 0.228 364.51 0.1228 711.9000 10/6/2008 7:53:56 AM 473.93 3.6441 0.2281 364.41 0.12281 712.9000 10/6/2008 7:54:56 AM 474.93 3.6432 0.2281 364.32 0.12281 713.9000 10/6/2008 7:55:56 AM 475.93 3.6421 0.2281 364.21 0.12281 714.9000 10/6/2008 7:56:56 AM 476.93 3.641 0.2281 364.10 0.12281 715.9000 10/6/2008 7:57:56 AM 477.93 3.6398 0.2281 363.98 0.12281 716.9000 10/6/2008 7:58:56 AM 478.93 3.6386 0.2281 363.86 0.12281 717.9000 10/6/2008 7:59:56 AM 479.93 3.6376 0.2281 363.76 0.12281 718.9000 10/6/2008 8:00:56 AM 480.93 3.6365 0.2281 363.65 0.12281 719.9000 10/6/2008 8:01:56 AM 481.93 3.6355 0.2282 363.55 0.12282 720.9000 10/6/2008 8:02:56 AM 482.93 3.6346 0.2282 363.46 0.12282 721.9000 10/6/2008 8:03:56 AM 483.93 3.6336 0.2281 363.36 0.12281 722.9000 10/6/2008 8:04:56 AM 484.93 3.6327 0.2281 363.27 0.12281 723.9000 10/6/2008 8:05:56 AM 485.93 3.6486 0.2282 364.86 0.12282 724.9000 1.0000 100.0000 10000.0000 Column G 0 Column G 0.02 Linear Regression for 0.04 Column G 0.06 Column G 0.08 Linear Regression for 0.1 Column G 0.12 f(x) = 0.0006810989x + 0.1051797582 0.14 f(x) = 1.7247347252255E-006x + 0.1216134321 t ime (min) Hav Hdr t d100 d0 d50 Tv cv 0.119275 0.059637 724.9000 0.12 0.09149 0.105745 0.197 0.006626 Increment Stage 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Cv, in2/min (Casagrande's Method) Cv, in2/min (Taylor's Method) Average, Cv (in2/min) Average, Cv (cm2/min) Final void ratio, Effective ef Stress, σ' (psf) 0.0096 0.0321 0.0229 0.0241 0.0264 0.0264 0.0151 0.0202 0.0180 0.0292 0.0190 0.0221 0.0222 0.0278 0.0171 0.0212 Mv (1/psf) - 0.5220 0.5390 0.5332 0.5020 0.4490 0.3840 0.4015 0.4329 0.4580 0.4850 av (1/psf) - 3640.0 1655.0 3300.0 10577.0 20337.0 40123.0 10800.0 3685.0 1685.0 765.0 You are given the data from the first 6 loading phases. Compute C v for each of the 6 phases using both methods. Fill in the final void ratio and stress columns for these 6 phases and then plot e vs. σ' (log scale) . From this plot you will get Cc, Cr, and max past pressure,σp. Replot e vs σ' ("regular" scale). The slope between each point is a v. Use the provided relations to calculate Mv and k and you are done (include this table in your report but without the colors please) You will fill in cells colored like this. Leave Blank (these are unloading phases!) K (cm/s) -...
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This note was uploaded on 02/22/2012 for the course CIE 294 taught by Professor Staff during the Fall '11 term at Syracuse.

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