Recent Advances in Image-Based Geotechnics II

A special issue of Journal of Imaging (ISSN 2313-433X).

Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 2086

Special Issue Editor


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Guest Editor
Department of Civil Engineering, City University of London, Northampton Square, London EC1V 0HB, UK
Interests: micromechanics; X-ray tomography; image analysis; geotechnics
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Special Issue Information

Dear Colleagues,

The use of image-based techniques has transformed the way we understand geomaterials and their behaviour. Imaging tools opened up the possibility to not only access the internal structure of soils and rocks, but also investigate their behaviour at different scales, thus advancing from the more conventional boundary measurements obtained in laboratory tests. Early examples of image-based studies in geotechnics include the quantification of the particle shape of rock fragments by Wadell in 1932, the investigation of fabric evolution in sands using thin sections carried out by Oda in 1972, and the use of radiographs to track strain localisation on retaining walls by Roscoe in 1970. The development of imaging techniques and computer power has enabled unprecedented insights into how the initial microstructure and its deformation determine the mechanical and hydraulic behaviour of geomaterials. In particular, a real breakthrough was achieved in the last 15 years with the use of X-ray computed tomography coupled with 3D image analysis. This has been pivotal in advancing both discrete modelling and fabric-informed continuum modelling. A number of challenges still persist, specifically related to resolving images at the particle scale of complex microstructures and fine soils. However, not all problems require this level of detail, and defining the right scale of interest and the representative sample size is a critical aspect that is gaining more relevance as the application areas grow.

This Special Issue is dedicated to recent advances in image-based geotechnics. This is a broad topic that includes a variety of imaging tools, geomaterials, and applications. The aim of this Special Issue is to provide a forum to publish original research papers covering the use of imaging for the investigation, characterisation and modelling of geomaterials. We invite contributions that develop our fundamental understanding or address engineering problems.

Dr. Joana Fonseca
Guest Editor

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Keywords

  • particle-scale behaviour
  • fabric/structure of soil
  • micromechanics
  • multiscale/multiphysical behaviour
  • contact mechanics
  • image-based modelling
  • particle kinematics
  • micro to macro
  • image processing/analysis
  • computed tomography
  • microscopy
  • digital image correlation
  • particle image velocimetry
  • deep learning/neural networks

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Published Papers (1 paper)

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Research

14 pages, 4154 KiB  
Article
Measuring Power of Earth Disturbances Using Radio Wave Phase Imager
by Radwan N. K. Sharif and Rodney A. Herring
J. Imaging 2023, 9(10), 228; https://doi.org/10.3390/jimaging9100228 - 20 Oct 2023
Viewed by 1657
Abstract
Numerous studies have investigated ionospheric waves, also known as ionospheric disturbances. These disturbances exhibit complex wave patterns similar to those produced by solar, geomagnetic, and meteorological disturbances and human activities within the Earth’s atmosphere. The radio wave phase imager described herein measures the [...] Read more.
Numerous studies have investigated ionospheric waves, also known as ionospheric disturbances. These disturbances exhibit complex wave patterns similar to those produced by solar, geomagnetic, and meteorological disturbances and human activities within the Earth’s atmosphere. The radio wave phase imager described herein measures the power of the ionospheric waves using their phase shift seen in phase images produced by the Long Wavelength Array (LWA) at the New Mexico Observatory, a high-resolution radio camera. Software-defined radio (SDR) was used for processing the data to produce an amplitude image and phase image. The phase image revealed the ionospheric waves, whereas the amplitude image could not see them. From the phase image produced from the carrier wave received at the LWA, the properties of the ionospheric waves have been previously characterized in terms of their energy and wave vector. In this study, their power was measured directly from the phase shift of the strongest set of ionospheric waves. The power of these waves, which originated at Albuquerque, the local major power consumer, was 15.3 W, producing a power density of 0.018 W/m2. The calculated power density that should be generated from the local power generating stations around Albuquerque was also 0.018 W/m2, in agreement with the experimentally measured value. This correspondence shows that the power generated by power stations and being consumed is not lost but captured by the ionosphere. Full article
(This article belongs to the Special Issue Recent Advances in Image-Based Geotechnics II)
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