Location

Arlington, Virginia

Session Start Date

8-11-2008

Session End Date

8-16-2008

Abstract

Deep excavations can comprise one of the most challenging design and construction geotechnical problems. Many factors affect their performance including soil strength, ground-water, building surcharges, construction methods, and construction techniques. Engineers are confounded with the complex problem of predicting behavior while producing a safe and economical design. Typical parameters of interest are design wall moments, bracing forces, wall displacements, and ground or building settlements. Many authors have compiled case histories that quantify maximum observed displacements in various publications. Often, these publications include benchmarking of observed behavior otherwise known as Class “C” predictions. Few authors have compiled Class “A” predictions where performance predictions are presented before the actual project is completed. This publication presents a recently developed online database of deep excavation prediction and performance available to engineers in an effort to make performance and modeling information more accessible. In addition, the performance and benchmarking of nearly 39 deep excavations is briefly presented, focusing mostly on inclinometer recorded wall deflections.

Department(s)

Civil, Architectural and Environmental Engineering

Appears In

International Conference on Case Histories in Geotechnical Engineering

Meeting Name

Sixth Conference

Publisher

Missouri University of Science and Technology

Publication Date

8-11-2008

Document Version

Final Version

Rights

© 2008 Missouri University of Science and Technology, All rights reserved.

Document Type

Article - Conference proceedings

File Type

text

Language

English

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Aug 11th, 12:00 AM Aug 16th, 12:00 AM

Online Database of Deep Excavation Performance and Prediction

Arlington, Virginia

Deep excavations can comprise one of the most challenging design and construction geotechnical problems. Many factors affect their performance including soil strength, ground-water, building surcharges, construction methods, and construction techniques. Engineers are confounded with the complex problem of predicting behavior while producing a safe and economical design. Typical parameters of interest are design wall moments, bracing forces, wall displacements, and ground or building settlements. Many authors have compiled case histories that quantify maximum observed displacements in various publications. Often, these publications include benchmarking of observed behavior otherwise known as Class “C” predictions. Few authors have compiled Class “A” predictions where performance predictions are presented before the actual project is completed. This publication presents a recently developed online database of deep excavation prediction and performance available to engineers in an effort to make performance and modeling information more accessible. In addition, the performance and benchmarking of nearly 39 deep excavations is briefly presented, focusing mostly on inclinometer recorded wall deflections.