期刊
OCEAN ENGINEERING
卷 54, 期 -, 页码 182-195出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.oceaneng.2012.07.018
关键词
Undrained shear strength (s(u)); Piezocone penetration test (PCPT); Marine clay; Evolutionary polynomial regression (EPR); South Pars field; Iran
In this paper, several new models are developed based on a soft computing technique for predicting undrained shear strength (s(u)) of marine clays at South Pars field, Persian Gulf, Iran. For this purpose, numerous piezocone penetration tests (PCPTs) data are used along with laboratory and in-situ measurements of s(u). In this regard, evolutionary polynomial regression (EPR) is used instead of conventional simple linear regression analysis in order to correlate s(u) and cone tip resistance more precisely. According to five developed models (models I to V), it is found that the tip resistance corrected for pore water pressure effect (q(r)) yields slightly better estimation of s(u), compared to the raw cone tip resistance (q(c)) obtained directly from PCPT. Additionally, the cone tip resistance is correlated much more precisely with s(u) data obtained from torvane test than that of unconsolidated undrained (UU) triaxial test. The EPR-based models offer a considerable improvement in estimating s(u) based on cone penetration test data and can predict s(u) with minimum error in comparison with other theoretical and empirical models. The models are also verified successfully by the data obtained from another survey area, outside the main survey area which has been used to develop the models. (C) 2012 Elsevier Ltd. All rights reserved.
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