Chapter
Apr 26, 2012
The T.E.A.M. Approach in Geotechnical Engineering
Authors: Jean-Louis Briaud, Krishna Goparaju, and Paul F. DahmAuthor Affiliations
Publication: Deep Foundations 2002: An International Perspective on Theory, Design, Construction, and Performance
Abstract
During the design of a project, the engineer has to calculate the best estimate of the project behavior. Taking the average of several estimates is a process which is sometimes used by engineers. The TEAM approach, which stands for Technical Expert Averaging Method, takes its roots in this averaging process. The TEAM often improves the precision of the estimate (scatter around the mean) and sometimes the accuracy of the estimate (proximity between predictions and measurements). The TEAM approach is described together with various levels of sophistication in the averaging technique. Examples of TEAM successes and failures at prediction events are presented, the theory behind the TEAM is discussed, and a data base of pile load tests is assembled and used to show the improvement in precision and accuracy that can be obtained with the TEAM.
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Published In
Deep Foundations 2002: An International Perspective on Theory, Design, Construction, and Performance
Pages: 976 - 992
Copyright
© 2002 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Analysis (by type)
- Business management
- Computing in civil engineering
- Construction engineering
- Construction management
- Databases
- Ecosystems
- Engineering fundamentals
- Environmental engineering
- Failure analysis
- Foundations
- Geotechnical engineering
- Information Technology (IT)
- Load tests
- Personnel management
- Pile foundations
- Pile tests
- Practice and Profession
- Project management
- Team building
- Tests (by type)
- Vegetation
Authors
Affiliations
Jean-Louis Briaud
Spencer J. Buchanan Professor, Dept. of Civil Engineering, Texas A&M University, College Station, Texas 77843-3136
Krishna Goparaju
Manager, Research Development, ATSER Systems, 8520 Sweetwater, Suite F57, Houston, Texas
Paul F. Dahm
Professor, Department of Statistics, Texas A&M University, College Station, Texas 77843-3136
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