Location
Arlington, Virginia
Date
15 Aug 2008, 11:00am - 12:30pm
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
Meeting Name
6th Conference of the International Conference on Case Histories in Geotechnical Engineering
Publisher
Missouri University of Science and Technology
Document Version
Final Version
Rights
© 2008 Missouri University of Science and Technology, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Document Type
Article - Conference proceedings
File Type
text
Language
English
Recommended Citation
Konstantakos, Dimitrios C., "Online Database of Deep Excavation Performance and Prediction" (2008). International Conference on Case Histories in Geotechnical Engineering. 20.
https://scholarsmine.mst.edu/icchge/6icchge/session05/20
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.
