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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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Judul Seri
Proceedings Geotechnical Aspects of Underground Construction in Soft Ground
No. Panggil
624.121 (063)
Penerbit Taylor & Francis Group, : London.,
Deskripsi Fisik
211-219p.
Bahasa
English
ISBN/ISSN
0-415-39124-5
Klasifikasi
624.121 (063)
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Tipe Media
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Tipe Pembawa
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Edisi
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