中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Neural Net Expansion Model for Fissured Strong Expansive Soil

文献类型:期刊论文

作者Chen, Shan-Xiong; Dai, Zhang-Jun; Ojekunle, V. O.
刊名JOURNAL OF RESIDUALS SCIENCE & TECHNOLOGY
出版日期2016
卷号13页码:S211-S218
ISSN号1544-8053
DOI10.12783/issn.1544-8053/13/4/S28
英文摘要Fissured strong expansive soil swelling behavior is complicated. In this paper, considering the typical filling fissures of strong expansive soils, fissure rate K-r was given as a fissure content quantitative indicator. A prediction model was developed for the prediction of swelling effect on a fissured strong expansive soil using BP neural network approach, the gradient descent and the conjugate gradient algorithm methods were adopted. The actual test and predicted results of the two algorithms network showed high degree of similarity. The BP neural network model described by fissure rate, dry density, initial moisture content and overlying load can meet the precision requirements. The conjugate gradient method when compared with the gradient descent method, has a significantly improved calculation efficiency, the convergence rate is about 30 times lesser than the latter, therefore, conjugate gradient algorithm BP network prediction model for swelling in the actual engineering calculation has obvious advantages.
WOS研究方向Engineering
语种英语
WOS记录号WOS:000390954400028
出版者DESTECH PUBLICATIONS, INC
源URL[http://119.78.100.198/handle/2S6PX9GI/3813]  
专题岩土力学所知识全产出_期刊论文
国家重点实验室知识产出_期刊论文
作者单位Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn
推荐引用方式
GB/T 7714
Chen, Shan-Xiong,Dai, Zhang-Jun,Ojekunle, V. O.. Neural Net Expansion Model for Fissured Strong Expansive Soil[J]. JOURNAL OF RESIDUALS SCIENCE & TECHNOLOGY,2016,13:S211-S218.
APA Chen, Shan-Xiong,Dai, Zhang-Jun,&Ojekunle, V. O..(2016).Neural Net Expansion Model for Fissured Strong Expansive Soil.JOURNAL OF RESIDUALS SCIENCE & TECHNOLOGY,13,S211-S218.
MLA Chen, Shan-Xiong,et al."Neural Net Expansion Model for Fissured Strong Expansive Soil".JOURNAL OF RESIDUALS SCIENCE & TECHNOLOGY 13(2016):S211-S218.

入库方式: OAI收割

来源:武汉岩土力学研究所

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