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Bayesian Updating of Tunnel Performance for K Estimate of Santiago Gravel
Bayesian back analysis associated to Negro (1988) model for tunnel performance prediction was used for back analysis of K from field instrumentation data collected in the construction of a twin track tunnel ofLine 5 of Santiago Metro chile. The ground is a thick deposit of fluial-glacial, well graded and denses gravel, with boulders up to 30cm, defficult to sample and test. Obtained values of K were much higher than what was assumed in the design, suggensting and overconsolidation condition of these deposits, othwerwise not recognized.
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Ruang Koleksi Umum
Rak; 2
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Informasi Detail
| Judul Seri |
Proceedings Geotechnical Aspects of Underground Construction in Soft Ground
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|---|---|
| No. Panggil |
624.121 (063)
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| Penerbit | Taylor & Francis Group, : London., 2006 |
| Deskripsi Fisik |
211-219p.
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| Bahasa |
English
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| ISBN/ISSN |
0-415-39124-5
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| Klasifikasi |
624.121 (063)
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| Tipe Isi |
-
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| Tipe Media |
-
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|---|---|
| Tipe Pembawa |
-
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| Edisi |
-
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| Subjek | |
| Info Detail Spesifik |
-
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| Pernyataan Tanggungjawab |
-
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