Interplay between Field Measurements and Soil Behavior for Capturing Supported Excavation Response
Publication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 136, Issue 1
Abstract
Instruments are installed during the construction of urban excavations to monitor ground response at discrete locations to various construction activities, to verify design assumptions and to effectively apply the observational approach. Inverse analysis approaches are often used to develop improved soil models suitable for representing soil response during excavation from these measurements. We propose that through the integration of inverse analysis and instrument measurements, it is possible to provide information on excavation performance at locations where no instrumentation is available. Therefore, this study examines the relationship between various instruments typically used on an excavation project and the quality of information that can be extracted for excavation modeling. A synthetically generated set of instrument measurements that include inclinometers, surface settlement points, extensometers, heave gauges, piezometers, and strain gauges, using an idealized soil profile are initially used. The analyses show that in addition to the measurements of lateral wall deflections and surface settlement, inclinometers placed some distance behind the wall and measured forces in the struts significantly improve the quality of the extracted soil behavior. These findings are further demonstrated with a well instrumented deep excavation case study in Taipei. The inclinometers at the wall and at farther distance from the wall are used to extract the soil behavior. The extracted soil model used in a numerical analysis provides a good prediction of excavation behavior elsewhere around the excavation including surface settlements.
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Acknowledgments
The writers thank Professor Chang-Yu Ou for facilitating access to the TNEC data. This material is based upon work supported by the National Science Foundation under Grant No. NSFCMS 02–19123 under program director, Dr. R. Fragaszy. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the writers and do not necessarily reflect the views of the National Science Foundation.
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© 2010 ASCE.
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Received: Jan 4, 2009
Accepted: Jul 24, 2009
Published online: Jul 27, 2009
Published in print: Jan 2010
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