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Site Characterization in Shelby County, Tennessee Using Advanced Surface Wave Methods
Hebeler, Gregory L.; Rix, Glenn J.
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https://hdl.handle.net/2142/8936
Description
- Title
- Site Characterization in Shelby County, Tennessee Using Advanced Surface Wave Methods
- Author(s)
- Hebeler, Gregory L.
- Rix, Glenn J.
- Issue Date
- 2007-01
- Keyword(s)
- MAE Center
- Tennessee
- Surface Wave
- Abstract
- The focus of the current study was to develop improved experimental and analytical methods to increase the applicability and accuracy of seismic surface wave testing for use in geotechnical site characterization. The recent research completed by Zywicki (1999) on the use of array-based techniques for use in active and passive surface wave testing was refined and expanded resulting in the development of the current surface wave testing procedures. The current developments focused on improving the procedures typically used in traditional engineering surface wave studies by implementing array-based testing and analysis procedures and improved signal processing techniques. An experimental testing program was conducted to evaluate the developed procedures and to provide near-surface shear wave velocity (VS) data for the Memphis, Tennessee metropolitan region. This testing program consisted of 11 sites in Mid-America, ten within the Memphis, TN metropolitan area and one site in Northwest Arkansas. The testing program allowed for the comparison with previous data obtained using other in situ techniques, and with traditional surface wave data in order to validate the accuracy of the current methods and to highlight the improved capabilities over traditional surface wave methods. Additionally, active and passive procedures were combined in an effort to improve the range and capabilities of the individual methods allowing for more complete site characterization.
- Publisher
- Mid-America Earthquake Center
- Series/Report Name or Number
- MAE Center CD Release 06-02
- Type of Resource
- text
- Language
- en
- Permalink
- http://hdl.handle.net/2142/8936
- Sponsor(s)/Grant Number(s)
- National Science Foundation EEC-9701785
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