scholarly journals Three-dimensional Analysis of an In Situ Double-torsion Test by X-ray Computed Tomography and Digital Volume Correlation

2013 ◽  
Vol 53 (7) ◽  
pp. 1265-1275 ◽  
Author(s):  
P. Leplay ◽  
J. Réthoré ◽  
S. Meille ◽  
M.-C. Baietto ◽  
J. Adrien ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Dimensional Analysis ◽  
Three Dimensional ◽  
Torsion Test ◽  
Digital Volume Correlation ◽  
X Ray ◽  
X Ray Computed ◽  
Double Torsion

Three-dimensional analysis of plant structure using high-resolution X-ray computed tomography

2003 ◽  
Vol 8 (1) ◽  
pp. 2-6 ◽  
Author(s):  
Wolfgang H Stuppy ◽  
Jessica A Maisano ◽  
Matthew W Colbert ◽  
Paula J Rudall ◽  
Timothy B Rowe
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Dimensional Analysis ◽  
Three Dimensional ◽  
Plant Structure ◽  
X Ray ◽  
X Ray Computed

scholarly journals Mechanisms of root reinforcement in soils: an experimental methodology using four-dimensional X-ray computed tomography and digital volume correlation

2020 ◽  
Vol 476 (2237) ◽  
pp. 20190838
Author(s):  
D. J. Bull ◽  
J. A. Smethurst ◽  
I. Sinclair ◽  
F. Pierron ◽  
T. Roose ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Three Dimensional ◽  
Shear Loading ◽  
Soil Reinforcement ◽  
Experimental Methodology ◽  
Digital Volume Correlation ◽  
X Ray ◽  
Reinforced Soils ◽  
Multi Scale ◽  
X Ray Computed

Vegetation on railway or highway slopes can improve slope stability through the generation of soil pore water suctions by plant transpiration and mechanical soil reinforcement by the roots. To incorporate the enhanced shearing resistance and stiffness of root-reinforced soils in stability calculations, it is necessary to understand and quantify its effectiveness. This requires integrated and sophisticated experimental and multi-scale modelling approaches to develop an understanding of the processes at different length scales, from individual root–soil interaction through to full soil-profile or slope scale. One of the challenges with multi-scale models is ensuring that they sufficiently closely represent real behaviour. This requires calibration against detailed high-quality and data-rich experiments. This study presents a novel experimental methodology, which combines in situ direct shear loading of a willow root-reinforced soil with X-ray computed tomography to capture the three-dimensional chronology of soil and root deformation within the shear zone. Digital volume correlation (DVC) analysis was applied to the computed tomography dataset to obtain full-field three-dimensional displacement and strain information. This paper demonstrates the feasibility and discusses the challenges associated with DVC experiments on root-reinforced soils.

In Situ Visualization and Quantification of Three-Dimensional Root System Architecture and Growth Using X-Ray Computed Tomography

2014 ◽  
Vol 13 (8) ◽  
pp. vzj2014.03.0024 ◽  
Author(s):  
Nicolai Koebernick ◽  
Ulrich Weller ◽  
Katrin Huber ◽  
Steffen Schlüter ◽  
Hans-Jörg Vogel ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Root System ◽  
System Architecture ◽  
Three Dimensional ◽  
Root System Architecture ◽  
X Ray ◽  
In Situ Visualization ◽  
X Ray Computed

Three dimensional imaging of plant roots in situ with X-ray Computed Tomography

1997 ◽  
Vol 189 (2) ◽  
pp. 167-179 ◽  
Author(s):  
D.A. Heeraman ◽  
J.W. Hopmans ◽  
V. Clausnitzer
Keyword(s):  
Computed Tomography ◽  
Three Dimensional ◽  
Plant Roots ◽  
Three Dimensional Imaging ◽  
X Ray ◽  
X Ray Computed

scholarly journals Process Monitoring Dataset from the Additive Manufacturing Metrology Testbed (AMMT): Overhang Part X4

2020 ◽  
Vol 125 ◽  
Author(s):  
Brandon Lane ◽  
Ho Yeung
Keyword(s):  
Computed Tomography ◽  
Additive Manufacturing ◽  
Real Time ◽  
Process Monitoring ◽  
Three Dimensional ◽  
Ex Situ ◽  
Web Page ◽  
X Ray ◽  
X Ray Computed

This document provides details on the files available in the dataset “Overhang Part X4” pertaining to a three-dimensional (3D) additive manufacturing (AM) build performed on the Additive Manufacturing Metrology Testbed (AMMT) by Ho Yeung and Brandon Lane on June 28, 2019. The files include the input command files, materials data, in-situ process monitoring data, and metadata. This data is one of a set of “AMMT Process Monitoring Datasets”, as part of the Metrology for Real-Time Monitoring of Additive Manufacturing project at the National Institute of Standards and Technology (NIST). Ex-situ part characterization data, including X-ray computed tomography (XCT) measurements, will be provided as it is made available. Readers should refer to the AMMT datasets web page for updates.

scholarly journals Fast four-dimensional tensile test monitored via X-ray computed tomography: Single projection–based digital volume correlation dedicated to slender samples

2018 ◽  
Vol 53 (7) ◽  
pp. 473-484 ◽  
Author(s):  
Clément Jailin ◽  
Ante Buljac ◽  
Amine Bouterf ◽  
François Hild ◽  
Stéphane Roux
Keyword(s):  
Computed Tomography ◽  
Tensile Test ◽  
Dimensional Space ◽  
Acquisition Time ◽  
Digital Volume Correlation ◽  
Time Step ◽  
X Ray ◽  
Space And Time ◽  
X Ray Computed

The measurement of four-dimensional (i.e. three-dimensional space and time) displacement fields of in situ tests within X-ray computed tomography scanners (i.e. lab-scale X-ray computed tomography) is considered herein using projection-based digital volume correlation. With a single projection per loading (i.e. time) step, the developed method allows the loading not to be interrupted and to vary continuously during the scan rotation. As a result, huge gains in acquisition time (i.e. more than two orders of magnitude) need to be reached. The kinematic analysis is carried out using predefined space and time bases combined with model reduction techniques (i.e. proper generalized decomposition with space–time decomposition). The accuracy of the measured kinematic basis is assessed via gray-level residual fields. An application to an in situ tensile test composed of 127 time steps is performed. Because of the slender geometry of the sample, a specific beam space regularization is used, which is composed of a stack of rigid sections. Large improvements on the residual, the signal-to-noise ratio of which evolves from 9.9 to 26.7 dB, validate the procedure.

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