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Modelling with Transparent Soils

Visualizing Soil Structure Interaction and Multi Phase Flow, Non-Intrusively

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  • © 2010

Overview

Authors:
  1. Magued Iskander

    1. Polytechnic Institute of NYU, Brooklyn, USA

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  • Presents the geotechnical behaviour of several families of transparent soils
  • Demonstrates how an optical system can be used to measure spatial deformations in transparent soil models non-intrusively
  • Written by an expert in the field

Part of the book series: Springer Series in Geomechanics and Geoengineering (SSGG)

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Table of contents (13 chapters)

  1. Front Matter

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  2. Introduction to Transparent Soils

    • Magued Iskander
    Pages 1-4

  3. Optical Techniques in Geotechnical Engineering

    • Magued Iskander
    Pages 5-18

  4. Introduction to Light and Optics

    • Magued Iskander
    Pages 19-25

  5. Optical Measurement of Strain and Stress

    • Magued Iskander
    Pages 27-44

  6. Geotechnical Properties of Transparent Silica Powders

    • Magued Iskander
    Pages 45-84

  7. Geotechnical Properties of Silica Gels

    • Magued Iskander
    Pages 85-115

  8. Geotechnical Properties of Aquabeads

    • Magued Iskander
    Pages 117-135

  9. Digital Image Correlation

    • Magued Iskander
    Pages 137-164

  10. Application of DIC for Measuring Deformations in Transparent Soils

    • Magued Iskander
    Pages 165-179

  11. Validation of Measured 2D Deformations

    • Magued Iskander
    Pages 181-225

  12. 3D Deformation Measurement

    • Magued Iskander
    Pages 227-258

  13. 2D Flow in Transparent Synthetic Soils

    • Magued Iskander
    Pages 259-292

  14. Epilogue

    • Magued Iskander
    Pages 293-298

  15. Back Matter

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Keywords

About this book

up with automated systems for assessment of road condition. For example, Haas et al (1997) developed an automated algorithm for detecting cracks and joints con- tion. Smith and Lin (1997) developed a fuzzy logic classification scheme for pavement distress condition. Oh et al (1997) developed iterative algorithm for overcoming noisy images of roads due to shadows and low light conditions. Koustsopoulos and Mishalani (1997) presented a model for distress assessment in a local (microscopic) and global (macroscopic) level using captured images of pavement. Lee (1993) presented a comparison between 15 different imaging al- rithms used in crack detection. Ground Penetration Radar (GPR) has also been used for pavement assessment. Special computer algorithms were developed for quick analysis of GPR data (Adeli & Hung 1993 and Maser 1996). Heiler and McNeil (1997) proposed a modified system for analyzing the GPR data using an artificial neural network (ANN). 2.3.2 Traffic Analysis and Control Currently imaging systems provide essential data for transportation and traffic engineering planning (Anon 1999). Machine vision techniques were introduced to intersection traffic signal control in the late 1970’s (Chou and Sethi 1993). No- days, many systems have been developed all over the world for traffic analysis and control applications, in addition to image based systems for traffic violations. Nallamathu and Wang (1997) developed one of the first automated systems for license plate recognition using character recognition algorithm for the use in monitoring violators at toll stations and many other traffic applications.

Authors and Affiliations

  • Polytechnic Institute of NYU, Brooklyn, USA

    Magued Iskander

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