Abstract:This paper presents a comparative study of three different classes of model for estimating the reinforcing effect of plant roots in soil, namely (i) fibre pull-out model, (ii) fibre break models (including Wu and Waldron's Model (WWM) and the Fibre Bundle Model (FBM)) and (iii) beam bending or p-y models (specifically Beam on a Non-linear Winkler-Foundation (BNWF) models). Firstly, the prediction model of root reinforcement based on pull-out being the dominant mechanism for different potential slip plane depth… Show more
“…Most of the existing literature in soil bioengineering (e.g. Mickovski et al 2010;Liang et al 2019) has demonstrated that the lateral earth pressure coefficient, K, of the soil in the vicinity of the roots being axially uprooted was higher than K 0 (coefficient at rest) but lower than K p , which is consistent with the theory of cavity expansion. However, due to the complexity of the root models being investigated in this study, it was difficult (if not impossible) to precisely determine the values of K mobilised at different positions within the root system.…”
Section: Development Of 1-g Scaling Lawssupporting
Aim
(1) To understand the tree root-soil interaction under lateral and moment loading using a physical modelling technique; (2) To detect the possible factors (e.g. root architecture, water condition, and stress level) influencing a tree’s push-over behaviour; (3) To identify suitable scaling laws to use in physical modelling.
Methods
Two 1:20 scaled root models with different architectures (namely, deep and narrow, and shallow and wide) were reconstructed and 3D printed based on the field-surveyed root architecture data. Push-over tests were performed both in elevated-gravity (centrifuge 20-g) and normal-gravity (1-g) conditions.
Results
The shallow and wide model showed higher anchorage strength than the deep and narrow model. Regardless of the root architecture, the root anchorage strength measured from dry soil was higher than that from saturated soil. However, once the effective stress was the same, regardless of water conditions, the root anchorage strength would be the same.
Conclusions
The presence of water decreasing the soil effective stress and key lateral roots extending along the wind direction play a significant role on a tree’s push-over resistance. Centrifuge tests showed comparable results to the field pull-over measurements while 1-g model tests overestimated the root-soil interaction, which could be corrected for soil strength by using modified scaling laws.
“…Most of the existing literature in soil bioengineering (e.g. Mickovski et al 2010;Liang et al 2019) has demonstrated that the lateral earth pressure coefficient, K, of the soil in the vicinity of the roots being axially uprooted was higher than K 0 (coefficient at rest) but lower than K p , which is consistent with the theory of cavity expansion. However, due to the complexity of the root models being investigated in this study, it was difficult (if not impossible) to precisely determine the values of K mobilised at different positions within the root system.…”
Section: Development Of 1-g Scaling Lawssupporting
Aim
(1) To understand the tree root-soil interaction under lateral and moment loading using a physical modelling technique; (2) To detect the possible factors (e.g. root architecture, water condition, and stress level) influencing a tree’s push-over behaviour; (3) To identify suitable scaling laws to use in physical modelling.
Methods
Two 1:20 scaled root models with different architectures (namely, deep and narrow, and shallow and wide) were reconstructed and 3D printed based on the field-surveyed root architecture data. Push-over tests were performed both in elevated-gravity (centrifuge 20-g) and normal-gravity (1-g) conditions.
Results
The shallow and wide model showed higher anchorage strength than the deep and narrow model. Regardless of the root architecture, the root anchorage strength measured from dry soil was higher than that from saturated soil. However, once the effective stress was the same, regardless of water conditions, the root anchorage strength would be the same.
Conclusions
The presence of water decreasing the soil effective stress and key lateral roots extending along the wind direction play a significant role on a tree’s push-over resistance. Centrifuge tests showed comparable results to the field pull-over measurements while 1-g model tests overestimated the root-soil interaction, which could be corrected for soil strength by using modified scaling laws.
“…Pull-out force of plants from soils has been widely used to study the effect of plant roots on soil stability 27,28 . Pull-out force of plants depends on many factors including root architectural features such as tap root length and branching points as well as root mechanics such as tensile strength and elastic modulus.…”
Agar have long been used as a growth media for plants. Here, we made agar media with embedded fluidic channels to study the effect of exposure to nutrient solution on root growth and pull-out force. Black eye bean (Vigna Unguiculata) and Mung bean (Vigna Radiata) were used in this study due to their rapid root development. Agar media were fabricated using casting process with removable cores to form channels which were subsequently filled with nutrient solution. Upon germination, beans were transplanted onto the agar media and allowed to grow. Pull-out force was determined at 96, 120 and 144 h after germination by applying a force on the hypocotyl above the gel surface. The effect of nutrients was investigated by comparing corresponding data obtained from control plants which have not been exposed to nutrient solution. Pull-out force of Black Eye bean plantlets grown in agar with nutrient solution in channels was greater than those grown in gel without nutrients and was 110% greater after 144 h of germination. Pull-out force of Mung bean plantlets grown in agar with and without nutrient solution was similar. tap root lengths of Black eye bean and Mung Bean plantlets grown in agar with nutrient solution are shorter than those grown without nutrient. "Kanten", as agar is known in Japanese, was first discovered from extracts of marine macroalgae, commonly known as seaweed, by Minoya Torazaemon in 1658 1. Coastal communities in Asia including those in Malay Archipelago of South East Asia have long been extracting agar from genus Gracilaria as a food source. The name "agar" derives from the Malay lexicon to describe jelly(gel)-based food. "Agar" has more in common to "algae" from which the agar hydrogels are obtained. At the present time, production of agar from Gracilaria accounts for 14% of global seaweed aquaculture production with China, Indonesia, Malaysia, Philippines and Vietnam being major producers 2. Agar are polysaccharides with excellent hydrocolloidal properties suitable for many industrial applications 3. Favorable attributes of agar include low production cost compared to alternative materials and ability to form reversible gels with acceptable mechanical properties at low concentration which is useful for applications in healthcare 4-6. Furthermore, agar can be easily blended with other polymers to form composites with superior properties. Composite hydrogels of agar and gelatin have sufficient mechanical properties while blending with alginates results in smart hydrogels which respond to pH 7,8. Plant culture media contain nutrients, vitamins and other supplements needed for plant growth and development. Agar media is a suitable matrix for plant culture as agar are not digested by plant enzymes and do not react with supplements 9. Plant culture media were developed from well-established bacteria growth media by adding nutrients needed to facilitate plant growth and development. Murashige and Skoog for example supplemented White's modified agar medium with kinetin and indole acetic acid and observed yi...
“…Image segmentation and deep learning allows the quantification of the soil mechanics parameter (i.e., the void ratio), and the root property (i.e., the root volume ratio). The importance of these parameters is evident in constitutive modelling [18][19][20][21], where these parameters contribute to the calculation of the soil strength, or quantifying the root reinforcement. These models allow the behaviour of soil to be predicted to assess the stability of slopes.…”
Vegetation alters soil fabric by providing biological reinforcement and enhancing the overall mechanical behaviour of slopes, thereby controlling shallow mass movement. To predict the behaviour of vegetated slopes, parameters representing the root system structure, such as root distribution, length, orientation and diameter, should be considered in slope stability models. This study quantifies the relationship between soil physical characteristics and root growth, giving special emphasis on (1) how roots influence the physical architecture of the surrounding soil structure and (2) how soil structure influences the root growth. A systematic experimental study is carried out using high-resolution X-ray micro-computed tomography (µCT) to observe the root behaviour in layered soil. In total, 2 samples are scanned over 15 days, enabling the acquisition of 10 sets of images. A machine learning algorithm for image segmentation is trained to act at 3 different training percentages, resulting in the processing of 30 sets of images, with the outcomes prompting a discussion on the size of the training data set. An automated in-house image processing algorithm is employed to quantify the void ratio and root volume ratio. This script enables post processing and image analysis of all 30 cases within few hours. This work investigates the effect of stratigraphy on root growth, along with the effect of image-segmentation parameters on soil constitutive properties.
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