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Multichannel analysis of seismic waves for layer moduli evaluation of pavements

Ryden, N. LU ; Ulriksen, P. LU ; Ekdahl, U. ; Park, C. B. and Miller, R. D. (2022) p.705-714
Abstract

Results from the application of a new seismic technique for non-destructive testing of pavement layer moduli are presented. The method is based on the multichannel analysis of surface waves (MASW) method and multichannel simulation with one receiver (MSOR). The MSOR method uses one accelerometer (receiver), a light hammer (source), and a single-channel recording device to generate a simulated multichannel record in a fast and simple manner. In the case study presented, the dispersion curve of surface waves shows different branches associated with the layers of different stiffness. From an objective observation of branches, seismic velocities, and resonant frequencies we evaluate the total number of layers with different stiffness... (More)

Results from the application of a new seismic technique for non-destructive testing of pavement layer moduli are presented. The method is based on the multichannel analysis of surface waves (MASW) method and multichannel simulation with one receiver (MSOR). The MSOR method uses one accelerometer (receiver), a light hammer (source), and a single-channel recording device to generate a simulated multichannel record in a fast and simple manner. In the case study presented, the dispersion curve of surface waves shows different branches associated with the layers of different stiffness. From an objective observation of branches, seismic velocities, and resonant frequencies we evaluate the total number of layers with different stiffness properties, the dynamic E-modulus, Poisson's ratio, and thickness of the top asphalt layers. We propose using this information in the back-calculation of Falling Weight Deflectometer (FWD) data.

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Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Dispersion, Modulus, Non-destructive testing, Pavement, Seismic
host publication
Bearing Capacity Of Roads Railways and Airfields
pages
10 pages
publisher
CRC Press
external identifiers
  • scopus:84873875350
ISBN
9789058093967
9781000108101
DOI
10.1201/9781003078814-76
language
English
LU publication?
yes
id
d76b75fb-0f5f-4e8e-82e9-94ca9aaca2b7
date added to LUP
2023-01-03 17:06:58
date last changed
2024-04-04 09:02:50
@inbook{d76b75fb-0f5f-4e8e-82e9-94ca9aaca2b7,
  abstract     = {{<p>Results from the application of a new seismic technique for non-destructive testing of pavement layer moduli are presented. The method is based on the multichannel analysis of surface waves (MASW) method and multichannel simulation with one receiver (MSOR). The MSOR method uses one accelerometer (receiver), a light hammer (source), and a single-channel recording device to generate a simulated multichannel record in a fast and simple manner. In the case study presented, the dispersion curve of surface waves shows different branches associated with the layers of different stiffness. From an objective observation of branches, seismic velocities, and resonant frequencies we evaluate the total number of layers with different stiffness properties, the dynamic E-modulus, Poisson's ratio, and thickness of the top asphalt layers. We propose using this information in the back-calculation of Falling Weight Deflectometer (FWD) data.</p>}},
  author       = {{Ryden, N. and Ulriksen, P. and Ekdahl, U. and Park, C. B. and Miller, R. D.}},
  booktitle    = {{Bearing Capacity Of Roads Railways and Airfields}},
  isbn         = {{9789058093967}},
  keywords     = {{Dispersion; Modulus; Non-destructive testing; Pavement; Seismic}},
  language     = {{eng}},
  month        = {{01}},
  pages        = {{705--714}},
  publisher    = {{CRC Press}},
  title        = {{Multichannel analysis of seismic waves for layer moduli evaluation of pavements}},
  url          = {{http://dx.doi.org/10.1201/9781003078814-76}},
  doi          = {{10.1201/9781003078814-76}},
  year         = {{2022}},
}