32 skills found · Page 1 of 2
inkarkat / Vim SyntaxRangeDefine a different filetype syntax on regions of a buffer.
vim-scripts / SyntaxRangeDefine a different filetype syntax on regions of a buffer.
ShelvanLee / XFEM# XFEM_Fracture2D ### Description This is a Matlab program that can be used to solve fracture problems involving arbitrary multiple crack propagations in a 2D linear-elastic solid based on the principle of minimum potential energy. The extended finite element method is used to discretise the solid continuum considering cracks as discontinuities in the displacement field. To this end, a strong discontinuity enrichment and a square-root singular crack tip enrichment are used to describe each crack. Several crack growth criteria are available to determine the evolution of cracks over time; apart from the classic maximum tension (or hoop-stress) criterion, the minimum total energy criterion and the local symmetry criterion are implemented implicitly with respect to the discrete time-stepping. ### Key features * *Fast:* The stiffness matrix and the force vector (i.e. the equations' system) and the enrichment tracking data structures are updated at each time step only with respect to the changes in the fracture topology. This ultimately results in the major part of the computational expense in the solution to the linear system of equations rather than in the post-processing of the solution or in the assembly and updating of the equations. As Matlab offers fast and robust direct solvers, the computational times are reasonably fast. * *Robust.* Suitable for multiple crack propagations with intersections. Furthermore, the stress intensity factors are computed robustly via the interaction integral approach (with the inclusion of the terms to account for crack surface pressure, residual stresses or strains). The minimum total energy criterion and the principle of local symmetry are implemented implicitly in time. The energy release rates are computed based on the stiffness derivative approach using algebraic differentiation (rather than finite differencing of the potential energy). On the other hand, the crack growth direction based on the local symmetry criterion is determined such that the local mode-II stress intensity factor vanishes; the change in a crack tip kink angle is approximated using the ratio of the crack tip stress intensity factors. * *Easy to run.* Each job has its own input files which are independent form those of all other jobs. The code especially lends itself to running parametric studies. Various results can be saved relating to the fracture geometry, fracture mechanics parameters, and the elastic fields in the solid domain. Extensive visualisation library is available for plotting results. ### Instructions 1. Get started by running the demo to showcase some of the capabilities of the program and to determine if it can be useful for you. At the Matlab's command line enter: ```Matlab >> RUN_JOBS.m ``` This will execute a series of jobs located inside the *jobs directory* `./JOBS_LIBRARY/`. These jobs do not take very long to execute (around 5 minutes in total). 2. Subsequently, you can pick one of the jobs inside `./JOBS_LIBRARY/` by defining the job title: ```Matlab >> job_title = 'several_cracks/edge/vertical_tension' ``` 3. Then you can open all the relevant scripts for this job as follows: ```Matlab >> open_job ``` The following input scripts for the *job* will be open in the Matlab's editor: 1. `JOB_MAIN.m`: This is the job's main script. It is called when executing `RUN_JOB` (or `RUN_JOBS`) and acts like a wrapper. Notably, it can serve as a convenient interface to run parametric studies and to save intermediate simulation results. 2. `Input_Scope.m`: This defines the scope of the simulation. From which crack growth criteria to use, to what to compute and what results to show via plots and/or movies. To put it simply, the script is a bunch of "switches" that tell the program what the user wants to be done. 3. `Input_Material.m`: Defines the material's elastic properties in different regions or layers (called "phases") of the computational domain. Moreover, it defines the fracture toughness of the material (assumed to be constant in all material phases). 4. `Input_Crack.m`: Defines the initial crack geometry. 5. `Input_BC.m`: Defines boundary conditions, such as displacements, tractions, crack surface pressure (assumed to be constant in all cracks), body loads (e.g. gravity, pre-stress or pre-strain). 6. `Mesh_make.m`: In-house structured mesh generator for rectangular domains using either linear triangle or bilinear quadrilateral elements. It is possible to mesh horizontal layers using different mesh sizes. 7. `Mesh_read.m`: Gmsh based mesh reader for version-1 mesh files. Of course you can use your own mesh reader provided the output variables are of the correct format (see later). 8. `Mesh_file.m`: Specifies the mesh input file (.msh). At the moment, only Gmsh mesh files of version-1 are allowed. ### Mesh_file.m A mesh file needs to be able to output the following data or variables: * `mNdCrd`: Node coordinates, size = `[nNdStd, 2]` * `mLNodS`: Element connectivities, size = `[nElemn,nLNodS]` * `vElPhz`: Element material phase (or region) ID's, size = `[nElemn,1]` * `cBCNod`: cell of boundary nodes, cell size = `{nBound,1}`, cell element size = `[nBnNod,2]` Example mesh files are located in `./JOBS_LIBRARY/`. Gmsh version-1 file format is described [here](http://www.manpagez.com/info/gmsh/gmsh-2.4.0/gmsh_60.php). ### Additional notes * global variables are defined in `.\Routines_AuxInput\Declare_Global.m` * External libraries are `.\Other_Libs\distmesh` and `.\Other_Libs\mesh2d` ### References Two external meshing libraries are used for the local mesh refinement and remeshing at the crack tip during crack propagation or prior to a crack intersection with another crack or with a boundary of the domain. Specifically, these libraries, which are located in `.\Other_Libs\`, are the following: * [*mesh2d*](https://people.sc.fsu.edu/~jburkardt/m_src/mesh2d/mesh2d.html) by Darren Engwirda * [*distmesh*](http://persson.berkeley.edu/distmesh/) by Per-Olof Persson and Gilbert Strang. ### Issues and Support For support or questions please email [sutula.danas@gmail.com](mailto:sutula.danas@gmail.com). ### Authors Danas Sutula, University of Luxembourg, Luxembourg. If you find this code useful, we kindly ask that you consider citing us. * [Minimum energy multiple crack propagation](http://hdl.handle.net/10993/29414)
MihaiChirculete / WorldGuardThe fastest world protector in town for your PocketMine server!
codys / Minecraft.printA python library for converting defined regions of Minecraft levels to a 3D Printable format.
davetang / Defining Genomic RegionsDefine regions in the genome
bsegraves / Custom FoldsAtom plugin for defining custom markers for foldable regions.
VPNL / FLocFunctional localizer experiment used to define category-selective cortical regions
qwqcode / CefSharpDraggableRegionSpecify `-webkit-app-region: drag` in CSS to define which regions are draggable, functioning similarly to the OS's standard titlebar in CefSharp.
GeoRegionsEcosystem / GeoRegions.jlDefining Geographical Regions for Geoscience and Climate
rapideditor / Location Conflation🧩 Define complex geographic regions by including and excluding country codes and geojson shapes.
remap-cisreg / ReMapEnrichReMapEnrich is a R-software package to identify significantly enriched regions from ReMap catalogues or user defined catalogues. ReMapEnrich provide functions to import any in-house catalogue, automate and plot the enrichment analysis for genomic regions.
playcurrent / ShardsPut Roblox players into defined regions to optimize matchmaking latency.
Harvey-MSKim / MPC Project Trajectory Generation Using MPC For High Speed OvertakingIn this study model predictive control is applied to a vehicle overtaking slower moving vehicles in a one way, two lane road. A risk map is defined considering the road boundaries, the center of the two lanes, and distance relative to other vehicles. The results of this study found that the vehicle was able to conduct safe lane changes while avoiding unsafe regions defined by the risk map
metopa / Region ProfilerProfile user-defined regions of Python code
rky0930 / ViaImage annotation tool that can be used to define regions in an image.
nbfigueroa / Auto Ds LearningThis package includes code to segment trajectories of a multi-step demonstrated task. The tasks considered are those that can be defined as a sequence of goal-oriented sub-tasks. In this work, each sub-task is characterized by a a Dynamical System (DS) Motion Policy and an attractor (representing the policy goal) found inside each Action Proposition (AP) region. Segmentation points are inferred tracking state changes in the pre-defined AP regions of the task.
NeuroADaS-Lab / Multilayer MRIIn this study, we aimed to combine the morphological, structural and functional information defining a new multilayer network perspective, which has been shown advantageous to jointly analyse multiple types of relational information regarding the same objects at once by using graph-mining techniques. The main contribution of this work is the design, development and validation of a multilayer scheme that combines these three layers of information into a unique multilayer network, where the integrity of white matter connections links and relates grey matter probability maps and resting-state fMRI. To validate our framework, we also extend several metrics from graph theory to adapt them to our specific domain characteristics. This proof of concept has been applied to a cohort of people with MS, it has shown that we are able to identify several brain regions with a synchronised connectivity deterioration.
mohitkumarahuja / Visual Tracking Using MeanShiftMean-Shift (MS) Mean-Shift (MS) is widely known as one of the most basic yet powerful tracking algorithms. Mean- Shift considers feature space as an empirical probability density function (pdf). If the input is a set of points then MS considers them as sampled from the underlying pdf. If dense regions (or clusters) are present in the feature space, then they correspond to the local maxima of the pdf. For each data point, MS associates it with the nearby peak of the pdf As an example, you can see the car sequence in file “Mean_Shift_Tracking.m”. We want to track the car in this sequence. We first needed to define the initial patch of the car in the first frame of the sequence. And then the moving car patch will be estimated by using the Bhattacharya coefficient and the weights corresponding to the neighboring patches. It will be deeply explained in the report.
Weeks-UNC / SuperfoldSuperFold is a pipeline that uses output data from ShapeMapper to model RNA secondary structures, including pseudoknots; identify de novo regions with well-defined and stable structures; and visualize most probable and alternative helices.
