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
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出版日期 | 2016 |
卷号 | 13页码:S211-S218 |
ISSN号 | 1544-8053 |
DOI | 10.12783/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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