Difference between revisions of "Team:DTU-Denmark/StructuralIntegrity"

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Modelling in the biological sciences provides a great tool for investigating and predicting outcomes based on a multiple of parameters. <br><br>
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We will now investigate two important questions regarding the feasibility of the project, which will help us demonstrate that our structure will work for its intended use. Is our material usable as a building material? and How much further development needs to be focused on structural properties? To answer these questions, we have run structural dynamics simulations with material properties derived from our <a href="https://2018.igem.org/Team:DTU-Denmark/ModellingTheDesign" target="_blank">compressive strength experiments</a>, performed in the labs at DTU Civil Engineering.
 
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From studying the fungal behaviour in details to the structural behaviour of the mycelium-based structures, we’ve been applying four different approaches to solve some of the problems and increase our understanding of the processes involved in the project. <br><br>
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The whole idea of basing structures on fungal mycelium relies on the growth and the optimization of the basic physical and mechanical properties of the fungus. We have therefore developed two different approaches to simulating the biomass growth; a detailed model following the location of hyphae and locations [LINK TO SECTION] and another one involving applying a system of partial differential equations (PDE) that models the biomass movement [LINK TO SECTION].<br><br>
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When you change the characteristics of the mycelium, the structural properties will most likely also be influenced. The study of this have therefore been carried out by both designing the building [LINK TO SECTION] and testing out whether the mycelium can withstand the pressure needed [LINK TO SECTION].
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<h2>Under the lens</h2>
 
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Filamentous fungi have a very characteristic growth pattern on solid medium, as they appear as a large network of interwoven filaments [link to figure of fungi network] [3]. If we can accurately predict how a fungus will grow over time, it will allow us to determine the optimal growth conditions to gain the best end product. Therefore, we have investigated how the fungal morphology changes over time at two level of details.
 
  
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<h3 class="media-heading"  style="text-align: right;margin-bottom: 35px; color:#0C233F;">Theory
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<h2>Microscopic view</h2>
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It is very normal to test a material based on pressure along one axis, which we also did. The question is now how to compare this characterisation to a more complex case, where pressure exists on one axis, and shearing (dragging the surface paralel with itself) along another. For this the so called von Mises yield criterion (1) was utilized. The basic assumption is that it is not volumetric change that breaks an object, but uneven stress. An example is a balloon; if you put it under water, there is pressure on all sides and it is pushed into a smaller volume, but does not fracture. But if you squeeze a balloon between your hands, it will eventually pop. In more technical terms, the cause of this phenomena, is the distortion energy which only increases based on differences in stress.<br><br>
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Newton’s second law tells us that if we know the stress on one of the sides, we also know the forces on the opposite side to get the observed acceleration, e.g. if the block stands still and is pushed on one side the block will not move as it must be pushed on the other, where the faces perpendicular to an axis form a pair. Stress only needs to be described on one of the faces in the pair. The stress on a face can be split into two types. If you have a paper tissue, and you are either pulling the paper apart or pushing (crumbling), it is one type ($\sigma$), but if you start to shear the paper that will be a different type of stress($\tau$). The same view can be applied in 3D, where the shearing can happen in two directions on each facepair per axis, but the pull and push forces can occur on all three axes. The stress on each of the sides (faces) will be a combination of the forces described above. A more complex solid than the paper example can be modelled as an infinite combination of these boxes.<br>
One of our models focuses on the morphology at the hyphal level by simulating the movement of hyphal tips, branching rates, extension rates and the density levels during a growth period in two dimensions. All of the code scripts can be found on our <a href="https://github.com/BioBuilders2018/mycelium-simulations" target="_blank">GitHub repository.</a><br><br>
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The von Mises stress is an attempt of calculating the size of the combined stress differences, analogous to vector length, which in the 2D push/pull scenario reduces to the pull/push stress.This is exactly what we measured in our characterisation tests, that is how high stress can be before cracking. Since it is an infinitesimally small box, if you sheer on one side, the other side in that plane will also be sheared, e.g. shear on the x face in y direction also gives shear on the y face. Generally these are the shears with the same subscript but different order. This means some of the stresses are identical giving a simpler formula.
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The formula for the von Mises stress is (1) (for the notation fig. 1):
  
The mycelium of a fungi consists of many interwoven hyphae, and the density depends on how many filaments there are in the location. In figure 1 below, it is possible to see microscopic pictures of fungal mycelium. Three different levels of zoom illustrate how the network looks, where it can be observed how they interlink and how a fungal filament can branch into more.
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$$\sigma_{von Mises}=\sqrt{\frac{(\sigma_{xx}-\sigma_{yy})^2+(\sigma_{yy}-\sigma_{zz})^2+(\sigma_{zz}-\sigma_{xx})^2+6(\tau_{xy}^2-\tau_{yz}^2+\tau_{zx}^2)}{2}}$$
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<p style="text-align:center;"> <img src="https://static.igem.org/mediawiki/2018/f/fc/T--DTU-Denmark--model-1.png" style="max-width: 100%;" > <figcaption><p style="text-align:center; font-size:14px;"><b>Fig. 1:</b> Snapshots of mycelium development of Aspergillus oryzae. These are representative microscopic images of how a network of intertwined hyphal filaments could look in a microscope.</p></figcaption>
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<h3>Simulation of the mycelium development</h3>
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Fungal growth is initiated by $n$ number of spores, and a branch will start to extend from each of the spores added to the space. Following along one of these branches originating from a single spore, the hyphae will grow in a direction $\theta$ with a tip extension $r_{tip, i}$. A branching event, in which a new branch is formed from the first branch, can occur with a probability $q$.
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Tip extension rate is calculated by using the equation below, which considers growth kinetics for the fungi and the amount of substrate available. It essentially outputs the accelerated growth dependent on the amount of substrate available, where the accelerated growth equation depends on fungal kinetics and branch lengths [1, 3].
 
Tip extension rate is calculated by using the equation below, which considers growth kinetics for the fungi and the amount of substrate available. It essentially outputs the accelerated growth dependent on the amount of substrate available, where the accelerated growth equation depends on fungal kinetics and branch lengths [1, 3].
 
\begin{equation}
 
\begin{equation}

Revision as of 00:52, 18 October 2018

Structural Integrity

We will now investigate two important questions regarding the feasibility of the project, which will help us demonstrate that our structure will work for its intended use. Is our material usable as a building material? and How much further development needs to be focused on structural properties? To answer these questions, we have run structural dynamics simulations with material properties derived from our compressive strength experiments, performed in the labs at DTU Civil Engineering.

Theory

It is very normal to test a material based on pressure along one axis, which we also did. The question is now how to compare this characterisation to a more complex case, where pressure exists on one axis, and shearing (dragging the surface paralel with itself) along another. For this the so called von Mises yield criterion (1) was utilized. The basic assumption is that it is not volumetric change that breaks an object, but uneven stress. An example is a balloon; if you put it under water, there is pressure on all sides and it is pushed into a smaller volume, but does not fracture. But if you squeeze a balloon between your hands, it will eventually pop. In more technical terms, the cause of this phenomena, is the distortion energy which only increases based on differences in stress.

Newton’s second law tells us that if we know the stress on one of the sides, we also know the forces on the opposite side to get the observed acceleration, e.g. if the block stands still and is pushed on one side the block will not move as it must be pushed on the other, where the faces perpendicular to an axis form a pair. Stress only needs to be described on one of the faces in the pair. The stress on a face can be split into two types. If you have a paper tissue, and you are either pulling the paper apart or pushing (crumbling), it is one type ($\sigma$), but if you start to shear the paper that will be a different type of stress($\tau$). The same view can be applied in 3D, where the shearing can happen in two directions on each facepair per axis, but the pull and push forces can occur on all three axes. The stress on each of the sides (faces) will be a combination of the forces described above. A more complex solid than the paper example can be modelled as an infinite combination of these boxes.
The von Mises stress is an attempt of calculating the size of the combined stress differences, analogous to vector length, which in the 2D push/pull scenario reduces to the pull/push stress.This is exactly what we measured in our characterisation tests, that is how high stress can be before cracking. Since it is an infinitesimally small box, if you sheer on one side, the other side in that plane will also be sheared, e.g. shear on the x face in y direction also gives shear on the y face. Generally these are the shears with the same subscript but different order. This means some of the stresses are identical giving a simpler formula. The formula for the von Mises stress is (1) (for the notation fig. 1): $$\sigma_{von Mises}=\sqrt{\frac{(\sigma_{xx}-\sigma_{yy})^2+(\sigma_{yy}-\sigma_{zz})^2+(\sigma_{zz}-\sigma_{xx})^2+6(\tau_{xy}^2-\tau_{yz}^2+\tau_{zx}^2)}{2}}$$

STOOOOOOp Tip extension rate is calculated by using the equation below, which considers growth kinetics for the fungi and the amount of substrate available. It essentially outputs the accelerated growth dependent on the amount of substrate available, where the accelerated growth equation depends on fungal kinetics and branch lengths [1, 3]. \begin{equation} r_{tip, i} = \bigg(k_{tip,1} + k_{tip,2}\cdot \frac{l_{br,i}}{l_{br, i} + K_t}\bigg)\cdot\bigg(\frac{S}{S+K_s}\bigg) \end{equation} $k_{tip,1}$ is the initial tip extension rate of the branch and $k_{tip,2}$ is the difference between the maximum extension rate and $k_{tip,1}$ [1, 3]. The length of branch $i$ described by $l_{br,i}$. $S$ is the substrate concentration and $K_S$ corresponds to the substrate concentration to reach half of the maximum growth level [4]. As the starting coordinates of this simulation are $(x_0, y_0)$ and end coordinates $(x, y)$, the length of branch $i$ can be calculated as the distance between two points: \begin{equation} l_{br, i} = \sqrt{(x-x_0)^2 + (y-y_0)^2} \end{equation} By dividing the growth area into a grid of $w\cdot h$ areas, it is possible to investigate the uptake of substrate, hyphal movement and the development of biomass through the simulation.

At the start of the simulation, it can be assumed that the initial substrate concentration $S_0$ will be distributed evenly across the grid. When the spores are placed randomly, the branches start to develop by using the substrate available around the hyphal tip. So for each branch, it is checked which tip is in which grid and whether there is any substrate available. That means that one can track the substrate depletion in each grid, and when there is no more substrate in one of the areas of the grid, the hyphal tips located there can no longer grow and can be considered as inactive hyphae. If the total area around the mycelium no longer contains substrate, the growth will simply stop.

In the same way as tracking substrate depletion, biomass production can also be viewed in a grid. But instead of calculating a loss of substrate, each new branch extension is considered a gain in biomass or the density $d$. It should show the same mechanics as the substrate depletion, as these two are directly related to each other by the equation $l_{br,i}$.

Results

The simulation ran with the parameters listed in table 1 [below], which painted a detailed picture of the time history of growth from the spore to the densely branched network of hyphal filaments. The parameters are based on growth of Aspergillus oryzae originates from 10 spores added to the medium.

More to come!