Abstract
A primary concern for projects involving deep excavations in urban environments is the potential of excavation-induced damage to neighboring infrastructure. Consequently, stiff excavation support systems are required to complete the work where ground displacements regularly control the design process. While traditional studies focus on the design of these support systems as a function of performance, few studies focus on the design of support systems as a function of costs. This study presents a comprehensive approach in which the allowable damage of the adjacent infrastructure is linked directly to the cost of the excavation support system. A laminate beam approach is used to model the adjacent infrastructure and to link the damage level with the excavation-induced movements. Wall movements are related to the stiffness of the wall section and the soil characteristics, such as the basal stability of the cut. A relationship between the wall section and its estimated cost is presented based on collected data from the RSMeans Building Construction Cost Database. The relationship between the estimated building damage and its associated preliminary cost allows the designer/engineer to track cost and deformation simultaneously with the wall design. The presented approach does not involve the traditional design practice in which an iterative process is required to determine the wall section and to comply with damage limitations. Instead, this approach requires a single calculation process in which a simple graphical representation of normalized cost versus the tolerable damage in the adjacent infrastructure can be obtained.
| Original language | English |
|---|---|
| Pages (from-to) | 23-33 |
| Number of pages | 11 |
| Journal | Geotechnical Special Publication |
| Volume | 2021-May |
| Issue number | GSP 324 |
| DOIs | |
| State | Published - 2021 |
| Event | 2021 International Foundations Congress and Equipment Expo: Earth Retention, Ground Improvement, and Seepage Control, IFCEE 2021 - Dallas, United States Duration: May 10 2021 → May 14 2021 |
Bibliographical note
Publisher Copyright:© 2021 American Society of Civil Engineers (ASCE). All rights reserved.
Funding
Financial support for this work was provided by the National Science Foundation (NSF) through Grant No. 1463198. The opinions and recommendations provided in this paper are solely those of the authors and are not necessarily consistent with the policies of NSF. The authors gratefully acknowledge Central Builders Supply (Montandon, PA), CETCO (Hoffman Estates, IL) and Geo-Solutions, Inc. (New Kensington, PA) for the time, resources, and materials given to this study. Financial assistance also was provided the Jeffrey C. Evans Geotechnical Engineering Laboratory endowed by Michael and Laureen Costa. The authors thank Bucknell students Gray Warden, Ben Finley, Ben Bliss, and Nancy Ingabire Abayo for their assistance with the field and laboratory work. Finally, this work would not have been possible without the contributions from James Gutelius, Bucknell Director of Civil Engineering laboratories. The authors gratefully acknowledge the Iowa Department of Transportation (Iowa DOT), the Iowa Highway Research Board (IHRB), and the Recycled Materials Resource Center (RMRC) for their financial support (Project No. 18-681, TR-764). Special thanks to the Technical Advisory Committee (TAC) for their professional guidance and support on this study. The findings and opinions in this study are solely those of the authors. Special thanks to Dr. Steven Mickelson for use of the ISU rainfall simulator and to Carl Pederson for guidance and expertise with respect to maintenance, operation, and use of the ISU rainfall simulator. Funding for this research was provided by the National Science Foundation (NSF) under NSF CA No. EEC-1449501. Operation of the centrifuge facility at the University of California, Davis was also supported by the NSF as part of the Natural Hazards and Engineering Research Infrastructure (NHERI) network under award CMMI -1520581. Any opinions, findings, and conclusions or recommendations expressed in this material are solely those of the authors and do not necessarily reflect those of NSF. The authors thank the staff at the UC Davis Center for Geotechnical Modeling and UC Davis researchers Tamar Baumer, Brian Sawyer, Charles Graddy , Sumeet Sinha, and Kate Darby. The authors would like to acknowledge and express deep appreciation to the Deep Foundations Institute (DFI) who provided financial support for this project. The authors would also like to thank GEI Consultants, Inc. who provided matching financial support. This research was funded in part by Geopier Foundation Company and by the National Science Foundation (NSF) Grants CMMI-1825189 and CMMI-1937984. This support is gratefully acknowledged. However, any opinions, findings, and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the NSF or Geopier Foundation Company. The authors would like to express their gratitude for the funding and support provided by Texas Department of Transportation and the City of Irving Landfill that made this research possible. Funding to support the reconnaissance of Anchorage and the neighboring communities following the 30 November 2018 earthquake was provided to the lead author by the Geotechnical Extreme Events Reconnaissance (GEER) Association, through the National Science Foundation under Grant No. CMMI -1266418, and is gratefully acknowledged. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF. The authors would like to acknowledge the GEER team, including Kevin Franke, Rich Koehler, Christine Beyzaei, Ashly Cabas, Sam Christie, Steve Dickenson, Ian Pierce, and Joey Yang. Kannon Lee assisted the lead author during the first visit to the West Dowling Street Bridge. The authors are grateful for the helpful discussions with and assistance provided by John Thornley. This material is based upon work supported by the National Science Foundation (NSF) under NSF CA No. EEC-1449501. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect those of the NSF. This is a project in collaboration with the C enter for Bio-mediated and Bio-inspired Geotechnics (CBBG) EICP research team led by Prof . Edward Kavazanjian, Jr. at Arizona State University The authors would like to acknowledge the support of the University Research Board (URB) at the American University of Beirut and that of Engineering Reseach International (ERI) in funding this work. This study was financially supported by the Kansas Department of Transportation (KDOT) through the KTRAN program. Mr. Luke Metheny, the chief geotechnical engineer at KDOT, is the project monitor. The authors are grateful for the financial and technical support provided by the National Key RD & Program of China (2020YFC1807200), the National Natural Science Foundation of China (41672294 and 41877231), Scientific Research Foundation of Graduate School of Southeast University (Grant No. YBPY1926) , Colleges and Universities in Jiangsu Province Plans to Graduate Research and Innovation (Grant No. KYCX19 -0098) and Scientific Research Foundation of Graduate School of Southeast University (Grant No. YBPY1926) . Funding for this research includes financial funding from the Project (No. 044007003) and National Natural Science Foundation of China (No.51978381). The authors wanted to show their appreciation to John Siekmeier for his kind help and providing valuable information and FWD test results from the Minnesota Department of Transportation (MnDOT) to use in this study. This manuscript is based upon work supported by MnDOT under contract numbers 1034932 entitled " Effectiveness of Geotextile/Geogrids in Roadway Construction; Determine a Granular Equivalent (G.E.) Factor" .
| Funders | Funder number |
|---|---|
| Colleges and Universities in Jiangsu Province Plans to Graduate Research and Innovation | KYCX19 -0098 |
| Deep Foundations Institute (DFI) | |
| GEI Consultants Inc | |
| Geopier Foundation | |
| Iowa Highway Research Board | |
| National Key Basic Research Program of China | 2020YFC1807200 |
| Natural Hazards and Engineering Research Infrastructure | CMMI -1520581 |
| University Research Board | |
| National Science Foundation (NSF) | CMMI-1825189, EEC-1449501, CMMI-1937984, CMMI -1266418, 1463198 |
| Texas Department of Transportation | |
| Minnesota Department of Transportation | 1034932 |
| American University of Beirut | |
| Recycled Materials Resource Center | TR-764, 18-681 |
| Iowa Department of Transportation | |
| Kansas Department of Transportation | |
| National Natural Science Foundation of China (NSFC) | 41672294, 41877231, 51978381 |
| Scientific Research Foundation of the Graduate School of Southeast University | YBPY1926 |
ASJC Scopus subject areas
- Civil and Structural Engineering
- Architecture
- Building and Construction
- Geotechnical Engineering and Engineering Geology