26 skills found
hongyuanjia / EplusrA Toolkit for Using EnergyPlus in R.
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)
nilseuropa / Gazebo Ros BatteryParametric nonlinear battery model for ROS robot simulations in Gazebo
BSIC / VaRSimple VaR calculation in Python, both for single value and VaR series in time. Supported formulas at the moment include: Parametric Normal, Parametric EWMA, Historical Simulation and Filtered Historical Simulation with EWMA.
HadiYd / Stewart Platform LearningParametric simulation of Stewart Platform in ROS and Gazebo with Deep Reinforcement Learning control
ggjbakker / Learned Parametric Microgrid Control SimulationThis repository contains the code used to do the simulations described in my master thesis: ``Learning parametric model predictive control strategies for frequency control of a microgrid''
Farhad-Davaripour / FEA Assisted AgentAn AI-driven tool integrating Abaqus and OpenAI's LLM for automating finite element simulations, including input file generation, job execution, stress extraction, parametric studies, and sensitivity analysis, streamlining complex workflows for enhanced decision-making.
Chrisvandr / Parametric Simulation EnergyplusParametric building performance simulation using Python for EnergyPlus
ThangLe-duc / FEINNIn this study, we propose a novel deep learning model named as the Finite-element-informed neural network (FEI-NN), inspired from finite element method (FEM) for parametric simulation of static problems in structural mechanics.
dtavan / PyBPSA parametric simulation manager for building performance simulation projects
prudhvi-reddy-m / VaRCalculatorVaR (Value-at-Risk) Calculator: An elegant tool designed to compute Value-at-Risk using three robust methods - Parametric, Historical, and Monte Carlo Simulation. Dive into the intricacies of risk management with precision and confidence.
CenterForStatistics-UGent / SPsimSeqSemi-parametric simulation of bulk and single cell RNA-seq data
ChaofanChen / ORCSimulatorSimulation package for parametric optimization of a two-phase geothermal source ORC powerplant using TESPy
anhdanggit / Non Parametric EconometricsThis is the R code for several common non-parametric methods (kernel est., mean regression, quantile regression, boostraps) with both practical applications on data and simulations
ma-laforge / CMDimCircuits.jlParametric analysis/visualization of model/measurement/simulation results
amaurigmartins / BatlabHelper tool for batch ATP simulations, parametric analyses and dataset generation.
Darkhunter9 / EBSD CVAE GAN PublicPublic code repository for training generative model (CVAE/GAN) to realize parametric simulation of EBSD patterns.
mjsutcliffe99 / ParamZXAn update to PyZX to support parameterised reduction and GPU evaluations, as described in the paper 'Fast classical simulation of quantum circuits via parametric rewriting in the ZX-calculus'
RheoDesign / AAVS BeijingTITLE: SU(PE)RREAL Director: Li-Qun Zhao SuperReal is about the manipulation of the mass information in the Big Data Era. Due to the development of multi-media technologies, everyone has submerged in the data ocean. Data could be generated by anything surround us. Instead of generating forms and effects, the key of SuperReal is, how we can parameterize the information mapping, regardless visible or invisible, with visual communication. Various multi-media tools will be used in data collection, processing and presentation. The workshop will start with exercises of data mapping and visualization through parametric modelling tools. Surreal emerges when we represent and reproduce the SuperReal data with multi-media medium, which promotes more interactive response between clients and users. We understand the representation of SuperReal is the project itself, meaning iterative feedback from statistical database to inspirational presentations will generate the design concepts. In this workshop, we will borrow the techniques and knowledge for film, animation and game industries, to produce the super-real surreal architecture in-between the virtual and the real space. The context of our workshop will be based on the imagination of how people would use the Galaxy Soho in Beijing in 50 years from now on. As we know, the Galaxy Soho is a new icon among those most recognizable icons in the capital of China. All the icons are designed to play against the human scale as the way to respect humans. The application of the SuperReal & Surreal through multi-media tools is how to re-occupying the macro anti/pro-human iconic buildings with micro events in human scale inspired by the data mapping outputs that we produced in the early stage. Some of the most prominent features, which the participants will be exposed to during AAVS Beijinginclude: • Teaching team: AAVS Beijing tutors are selected from recent graduates / current tutors at the AA. Participants engage in an active learning environment where the large tutor to student ratio (5:1) allows for personalized tutorials and debates. • Facilities: AAVS Beijing is based on Tsinghua University, which offers laser cutting, CNC milling, and 3d printing facilities. • Computational skills: The toolset of AAVS Beijing includes the most advanced computational design tools, such as Rhinoceros, Maya, Digital Project, Processing, Arduino, and Grasshopper. According to the agenda of this year, it is also include InformationMapping and Multi-Media representation tools. • Theoretical understanding: The dissemination of fundamental design techniques and relevant critical thinking methodologies to the participants through theoretical sessions and seminars forms one of the major goals of AAVS Beijing. • Professional awareness: AAVS Beijing performs as a simulation of the professional environment due the priority given to team-based design approach. Participants ranging from 2nd year students to PhD candidates and full-time professionals experience a highly focused collaborative educational model, which promotes research-based design and making. • Fabrication: According to the specific agenda of each year, form node model to a one-to-one scale prototype could be fabricated and assembled by design teams. • Lecture series: Based on its unique location, Beijing, AAVS Beijing creates a vibrant atmosphere with its intense lecture programme conveying the diverse expertise of professionals from some of the world’s exciting practices in the areas of urbanization，regional and computational architecture design.
jungtaekkim / Nanophotonic StructuresOfficial repository of "Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations"
