Non-invasive 3D analysis of local soil deformation under mechanical and hydraulic stresses by μCT and digital image correlation

Peth, Stephan; Nellesen, J.; Fischer, G.; Horn, Rainer

doi:10.1016/j.still.2010.02.007

Cited by 96 publications

(63 citation statements)

References 59 publications

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“…Again, the PSD curves depicted a reduction by half of the pore volume occupied by pores of an equivalent diameter inferior to 92 µm when matric potential was decreased supporting thus the idea of a closure of such passages. In loose homogeneous loess soils, Peth et al [41] also observed similar modification of soil structure with an increase of large pores and a concomitant closure of small pores during drying. In loose packing where soil is easily compressible, the opening of new macropores could more easily induce a closure of smaller pores as a response to hydraulic stress.…”

Section: Sr-µct Scansmentioning

confidence: 74%

Three-dimensional distribution of water and air in soil pores: Comparison of two-phase two-relaxation-times lattice-Boltzmann and morphological model outputs with synchrotron X-ray computed tomography data

Pot

Peth

Monga

et al. 2015

Advances in Water Resources

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Section: Sr-µct Scansmentioning

confidence: 74%

Three-dimensional distribution of water and air in soil pores: Comparison of two-phase two-relaxation-times lattice-Boltzmann and morphological model outputs with synchrotron X-ray computed tomography data

Pot

Peth

Monga

et al. 2015

Advances in Water Resources

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“…This is caused by but the lack of information about small scaled differences in clay content and total or airfilled porosity which were assumed to be homogeneous within a single sample. Small scaled differences in pore volumes or textural differences can be determined with the help of micro Xray computed tomography (Peth et al, 2010;Rogasik et al, 2014) or infrared spectroscopy (Leue et al, 2010;Stenberg et al, 2010), respectively.…”

Section: R Ew Rewmentioning

confidence: 99%

Impact of Small-Scaled Differences in Micro-Aggregation on Physico-Chemical Parameters of Macroscopic Biopore Walls

Haas

Horn

2018

Front. Environ. Sci.

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Macroscopic biopores, like earthworm burrows or channels which remain after a root decayed, act as preferential flow paths for water, gas, and heat transport processes, and viewing at agricultural production, as preferential elongation paths for plant roots. These processes result in intense alterations of the soil volume and its composition that surrounds the pores. The effects of these processes were analyzed at small-scale and physico-chemical soil parameters, i.e., relative oxygen diffusion coefficient (D s /D O ), oxygen partial pressure pO 2 , Eh and pH of biopore walls, were measured. The analyses were carried out on undisturbed soil samples with different colonization history, excavated from a haplic Luvisol derived from loess. Soil resistance to penetration was determined simultaneously with D s /D O and pO 2 using a coupled, self-developed approach, and four matric potentials (namely, m = −1 kPa; −3 kPa; −6 kPa or −30 kPa) were considered. We hypothesized that physico-chemical soil parameters in biopore walls were altered due to differing influences on the soil aggregation. Aggregation was visualized with scanning electron microscopy, classified and used to explain differences in-soil properties. Plant roots and earthworms altered aggregation next to biopore surfaces in a contrasted way, either by enhancing aggregates diversity or homogenizing it. Roots led to the formation of subpolyeders while earthworms formed subplates. Pore functions of microaggregates were comparable to those of larger scale, and subpolyeders showed much more favorable soil properties in terms of soil aeration (Ds/Do, pO2). Replicates of all parameters scattered intensely and showed deviations up to several orders of magnitude in case of D s /D O underlining the large variability of soil properties in biopore walls.

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“…However, little is known at a fundamental level about the interplay of root growth phenomena and soil deformation. This is problematic since improved understanding and modelling of plant/soil systems will require dynamic morphology to be considered (Peth et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…Vollsnes et al (2010) have demonstrated twodimensional digital image correlation (DIC) to map sand displacements around Zea mays roots in a rhizobox system. Others have combined XCT and digital volume correlation (DVC) to investigate sand and soil deformations under mechanical and hydraulic stresses (Hall et al, 2010;Peth et al, 2010;Schlüter et al, 2016). The latter approach offers substantial advantages over DIC.…”

Section: Introductionmentioning

confidence: 99%

Mapping soil deformation around plant roots using in vivo 4D X-ray Computed Tomography and Digital Volume Correlation

Keyes

Gillard

Soper

et al. 2016

Journal of Biomechanics

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(250)The mechanical impedance of soils inhibits the growth of plant roots, often being the most significant physical limitation to root system development. Non-invasive imaging techniques have recently been used to investigate the development of root system architecture over time, but the relationship with soil deformation is usually neglected. Correlative mapping approaches parameterised using 2D and 3D image data have recently gained prominence for quantifying physical deformation in composite materials including fibre-reinforced polymers and trabecular bone.Digital Image Correlation (DIC) and Digital Volume Correlation (DVC) are computational techniques which use the inherent material texture of surfaces and volumes, captured using imaging techniques, to map full-field deformation components in samples during physical loading.Here we develop an experimental assay and methodology for four-dimensional, in vivo X-ray Computed Tomography (XCT) and apply a Digital Volume Correlation (DVC) approach to the data to quantify deformation. The method is validated for a field-derived soil under conditions of uniaxial compression, and a calibration study is used to quantify thresholds of displacement and strain measurement. The validated and calibrated approach is then demonstrated for an in vivo test case in which an extending maize root in field-derived soil was imaged hourly using XCT over a growth period of 19 h. This allowed full-field soil deformation data and 3D root tip dynamics to be quantified in parallel for the first time.This method paves the way for comparative studies of contrasting soils and plant genotypes, improving our understanding of the fundamental mechanical processes which influence root system development.

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Non-invasive 3D analysis of local soil deformation under mechanical and hydraulic stresses by μCT and digital image correlation

Cited by 96 publications

References 59 publications

Three-dimensional distribution of water and air in soil pores: Comparison of two-phase two-relaxation-times lattice-Boltzmann and morphological model outputs with synchrotron X-ray computed tomography data

Three-dimensional distribution of water and air in soil pores: Comparison of two-phase two-relaxation-times lattice-Boltzmann and morphological model outputs with synchrotron X-ray computed tomography data

Impact of Small-Scaled Differences in Micro-Aggregation on Physico-Chemical Parameters of Macroscopic Biopore Walls

Mapping soil deformation around plant roots using in vivo 4D X-ray Computed Tomography and Digital Volume Correlation

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