Adaptive management evaluation of the sqbrc excavation

Richard J. Finno; Zhenhao Shi; Sangre Kim; Nathan Crafton; Daniel Rendell

doi:10.1007/978-3-319-52590-7_1

Adaptive management evaluation of the sqbrc excavation

Richard J. Finno^*, Zhenhao Shi, Sangre Kim, Nathan Crafton, Daniel Rendell

^*Corresponding author for this work

Civil and Environmental Engineering

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

This paper summarizes the adaptive management approach for controlling ground movements resulting from geotechnical construction activities, and presents the results of such analyses made throughout construction of the excavation for the SQBRC building in Chicago, IL, wherein attendant ground movement was a key design issue. This paper describes the support system, summarizes the performance data collected in real time, and presents the results of the optimizations made during excavation. Optimization of soil parameters based on plane strain analyses made at well-defined excavation stages resulted in reasonable predictions of computed lateral movements at the end of the excavation. Issues related modeling the support system in three dimensional analyses are discussed, and effects of past construction activities and construction operations other than the cycles of excavation and support installation are illustrated. Current limitations of the approach with respect to supported excavations are discussed.

Original language	English (US)
Pages (from-to)	1-28
Number of pages	28
Journal	Lecture Notes in Applied and Computational Mechanics
Volume	82
DOIs	https://doi.org/10.1007/978-3-319-52590-7_1
State	Published - 2017

Funding

The excavation support system was designed and constructed by Hayward Baker, Inc. The authors are grateful for their cooperation and would like to thank Mr. Justin Lewis, the project manager, for his help and interest throughout the project. Getec developed and maintained the project web site which provided real time access to the SAA data. The cooperation of Mr. Jay Baehr and Ms. Jo Lemieux-Murphy of Facilities Management at Northwestern University was instrumental in providing unfettered access to data collected by a variety of subcontractors. The funding for the work reported herein was provided by a National Science Foundation grant CMMI-1603060. The support of Dr. Richard Fragaszy is greatly appreciated.

ASJC Scopus subject areas

Mechanical Engineering
Computational Theory and Mathematics

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10.1007/978-3-319-52590-7_1

Cite this

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Adaptive management evaluation of the sqbrc excavation

Abstract

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