Fully Probabilistic Framework for Evaluating Excavation-Induced Damage Potential of Adjacent Buildings
Publication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 137, Issue 2
Abstract
This paper presents a framework for a fully probabilistic analysis of the potential for damage to buildings adjacent to an excavation. Herein, the damage potential index (DPI), which is a function of angular distortion and lateral strain, is used to assess building damage potential. A serviceability limit state is established in which the resistance is expressed in terms of the “limiting” DPI, and the load is represented by the “applied” DPI. In this context, damage to the building adjacent to an excavation is said to occur deterministically if the applied DPI is greater than the limiting DPI. For the fully probabilistic analysis, both parameter and model uncertainties of the limiting and applied DPIs are first characterized. The analysis framework is then presented and demonstrated with a case history. Finally, sensitivity analysis is performed to identify the factors to which the probability of damage is most sensitive and to analyze the effect of various assumptions of the input parameters on the computed probability of building damage.
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Acknowledgments
The study on which this paper is based was supported by the National Science Foundation through Grant No. NSFCMS-0300198 under program director Dr. Richard J. Fragaszy. This financial support is greatly appreciated. The writers also wish to thank Dr. Youssef Hashash of University of Illinois at Urbana-Champaign for his contribution to the development of the DPI model. The assistance provided by Dr. Mary Roth of Lafayette College, Dr. Evan Hsiao of Golder Associates, and Dr. Gordon Kung of National Cheng Kung University is also acknowledged. The results and opinions expressed in this paper are those of the writers and do not necessarily represent the view of the National Science Foundation and those of the individuals acknowledged herein.
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© 2011 ASCE.
History
Received: Jun 10, 2009
Accepted: Jul 9, 2010
Published online: Jul 12, 2010
Published in print: Feb 2011
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