Prediction of the long-term deformation of high rockfill geostructures using a hybrid back-analysis method

被引:1
作者
Xu, Ming [1 ]
Jin, Dehai [1 ]
机构
[1] Tsinghua Univ, Dept Civil Engn, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
adaptive response surface method; back-analysis; improved weighted average method; long-term deformation; rockfill; size effect; RHEOLOGICAL MODEL; CREST SETTLEMENT; PARAMETERS; BEHAVIOR; DAMS; EMBANKMENT; SIZE; SOIL;
D O I
10.12989/gae.2024.36.1.083
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
It is important to make reasonable prediction about the long -term deformation of high rockfill geostructures. However, the deformation is usually underestimated using the rockfill parameters obtained from laboratory tests due to different size effects, which make it necessary to identify parameters from in-situ monitoring data. This paper proposes a novel hybrid back -analysis method with a modified objective function defined for the time-dependent back -analysis problem. The method consists of two stages. In the first stage, an improved weighted average method is proposed to quickly narrow the search region; while in the second stage, an adaptive response surface method is proposed to iteratively search for the satisfactory solution, with a technique that can adaptively consider the translation, contraction or expansion of the exploration region. The accuracy and computational efficiency of the proposed hybrid back -analysis method is demonstrated by back-analyzing the long -term deformation of two high embankments constructed for airport runways, with the rockfills being modeled by a rheological model considering the influence of stress states on the creep behavior.
引用
收藏
页码:83 / 97
页数:15
相关论文
共 46 条
[1]   Scale effects in rockfill behaviour [J].
Alonso, E. E. ;
Tapias, M. ;
Gili, J. .
GEOTECHNIQUE LETTERS, 2012, 2 :155-160
[2]   Yielding of rockfill in relative humidity-controlled triaxial experiments [J].
Alonso, Eduardo E. ;
Romero, Enrique E. ;
Ortega, Enrique .
ACTA GEOTECHNICA, 2016, 11 (03) :455-477
[3]  
AnhDan L, 2006, GEOTECH TEST J, V29, P330
[4]   Predicting crest settlement in concrete face rockfill dams using adaptive neuro-fuzzy inference system and gene expression programming intelligent methods [J].
Behnia, Danial ;
Ahangari, Kaveh ;
Noorzad, Ali ;
Moeinossadat, Sayed Rahim .
JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A, 2013, 14 (08) :589-602
[5]   Selecting parameters to optimize in model calibration by inverse analysis [J].
Calvello, M ;
Finno, RJ .
COMPUTERS AND GEOTECHNICS, 2004, 31 (05) :411-425
[6]   High rockfill embankment for the extension of an airport main runway [J].
Canizal, Jorge ;
Castro, Jorge ;
Da Costa, Almudena ;
Sagaseta, Cesar ;
Sola, Pedro .
FROM FUNDAMENTALS TO APPLICATIONS IN GEOTECHNICS, 2015, :188-195
[7]   The engineering behaviour of fill materials: the use, misuse and disuse of case histories [J].
Charles, J. A. .
GEOTECHNIQUE, 2008, 58 (07) :541-570
[8]  
Duncan J.M., 1970, Journal of the Soil Mechanics and Foundations Division, V96, P1629, DOI [10.1061/JSFEAQ.0001458, DOI 10.1061/JSFEAQ.0001458]
[9]  
Erxiang Song, 2018, Proceedings of China-Europe Conference on Geotechnical Engineering. Springer Series in Geomechanics and Geoengineering (SSGG), P1726, DOI 10.1007/978-3-319-97115-5_179
[10]   Supported excavations: Observational method and inverse modeling [J].
Finno, RJ ;
Calvello, M .
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING, 2005, 131 (07) :826-836