@inproceedings{31be52b1d1194e1f84c29cd8c1e4edb8,
title = "Constitutive model update using observed field behavior",
abstract = "Numerical simulation of construction staging of deep urban excavations is commonly used to estimate induced ground deformations. A novel method to extract the constitutive behavior of soil directly from field measurements of excavation response is introduced. This method develops a neural network based constitutive model of the soil, given the lateral wall deformation and surface settlement profile measurements. This paper demonstrates that this approach is able to extract complex and realistic aspects of soil behavior. The soil model can continuously evolve using additional field information. New procedures are also presented for optimizing the extracted soil behavior used for training the neural network based soil model. These include data reduction and enrichment.",
author = "C. Marulanda and J. Butkovich and Hashash, {Y. M.A.} and J. Ghaboussi",
year = "2004",
language = "English (US)",
isbn = "9789058096364",
series = "Numerical Models in Geomechanics - 9th Proceedings of the International Symposium on Numerical Models in Geomechanics, NUMOG 2004",
publisher = "CRC Press/Balkema",
pages = "217--222",
editor = "S. Pietruszczak and G.N. Pande",
booktitle = "Numerical Models in Geomechanics - 9th Proceedings of the International Symposium on Numerical Models in Geomechanics, NUMOG 2004",
note = "9th International Symposium on Numerical Models in Geomechanics, NUMOG 2004 ; Conference date: 25-08-2004 Through 27-08-2004",
}