Files in this item

FilesDescriptionFormat

application/pdf

application/pdfOsouli_Abdolreza.pdf (8MB)
(no description provided)PDF

Description

Title:The interplay between field measurements and soil behavior for learning supported excavation response
Author(s):Osouli, Abdolreza
Director of Research:Long, James H.; Olson, Scott M.; Ghaboussi, Jamshid
Doctoral Committee Chair(s):Hashash, Youssef M.
Doctoral Committee Member(s):Long, James H.; Olson, Scott M.; Ghaboussi, Jamshid
Department / Program:Civil & Environmental Eng
Discipline:Civil Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Excavation
soil behavior
Numerical modeling
Neuralnetwork
constitutive models
in situ measurements
Abstract:In urban areas, estimation of ground movements due to excavation is critically important. In this thesis after a short review of currently used methods in practice for estimating excavation induced ground movements, a novel inverse analysis approach, self-learning in engineering simulation (SelfSim), is presented. SelfSim is applied to deep excavations in order to extract underlying soil behavior. The performance of the SelfSim inverse analysis is compared to inverse analysis based on a genetic algorithm. In the SelfSim approach, soil behavior is extracted from in situ measurements without a pre-defined constitutive model. In the genetic algorithm approach, soil parameters of an existing constitutive model are identified using field measurements. The performance of both techniques in capturing soil displacements and in predicting of soil behavior associated with the Lurie Center excavation in Chicago is presented. In order to demonstrate SelfSim’s capabilities in learning soil behavior using different instrument measurements, a simulated deep excavation is analyzed. The quality of the extracted behavior is examined by deploying different instrument configurations. The instruments required to provide sufficient information for SelfSim to extract soil behavior are identified. Then, some of the findings are further demonstrated in a case study of an excavation in Taipei soft clays. To illustrate that it is possible to learn from local experience and predict excavation performance in similar soil stratigraphy, case studies in Texas, Shanghai and Taipei are analyzed. The difficulties associated with the use of measured excavation response that is incompatible with recorded construction activity and the importance of engineering judgment in preparing measurement data for inverse analysis are highlighted. Finally, it is shown that the 2D extracted soil behavior of excavation in Chicago clays can not provide a reasonable excavation performance for an elevated ground surface excavation in Chicago suburbs within similar soil stratigraphy. It is demonstrated that the 3D effects of excavation are captured via 3D modeling using SelfSim. At the end, the extracted soil behavior from 3D analysis is discussed and compared to extracted soil behavior from 2D analysis.
Issue Date:2010-05-14
URI:http://hdl.handle.net/2142/15589
Rights Information:Copyright 2010 Abdolreza Osouli
Date Available in IDEALS:2010-05-14
2012-05-15
Date Deposited:May 2010


This item appears in the following Collection(s)

Item Statistics