Location

New York, New York

Session Start Date

4-13-2004

Session End Date

4-17-2004

Abstract

A new seismic approach based on wavelet transforms of the surface response is proposed and applied to the problem of detection of shallow cavities under pavements. Seismic wave propagation is simulated by a transient response analysis on an axisymmetric finite element model. Shallow cavities in a homogeneous half-space and a pavement system of a variety of shapes and embedment depths are considered. The formulation of the continuous wavelet transform (CWT) is presented and its advantage over the traditional time or spectral analysis based methods is demonstrated through illustrative examples. The response of the medium at different surface points is presented in the wavelet based time-frequency maps. Waves reflected from the boundaries of a cavity introduce new features of specific time and frequency characteristics in the wavelet time-frequency maps. The characteristics of these features can be used to locate a cavity and estimate its size. As a case history, detection of a cavity/sinkhole under the pavement of a section of expressway I-80 in the northwestern New Jersey is presented.

Department(s)

Civil, Architectural and Environmental Engineering

Appears In

International Conference on Case Histories in Geotechnical Engineering

Meeting Name

Fifth Conference

Publisher

University of Missouri--Rolla

Publication Date

4-13-2004

Document Version

Final Version

Rights

© 2004 University of Missouri--Rolla, All rights reserved.

Document Type

Article - Conference proceedings

File Type

text

Language

English

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Apr 13th, 12:00 AM Apr 17th, 12:00 AM

Application of Wavelets in Detection of Cavities under Pavements by Surface Waves

New York, New York

A new seismic approach based on wavelet transforms of the surface response is proposed and applied to the problem of detection of shallow cavities under pavements. Seismic wave propagation is simulated by a transient response analysis on an axisymmetric finite element model. Shallow cavities in a homogeneous half-space and a pavement system of a variety of shapes and embedment depths are considered. The formulation of the continuous wavelet transform (CWT) is presented and its advantage over the traditional time or spectral analysis based methods is demonstrated through illustrative examples. The response of the medium at different surface points is presented in the wavelet based time-frequency maps. Waves reflected from the boundaries of a cavity introduce new features of specific time and frequency characteristics in the wavelet time-frequency maps. The characteristics of these features can be used to locate a cavity and estimate its size. As a case history, detection of a cavity/sinkhole under the pavement of a section of expressway I-80 in the northwestern New Jersey is presented.