Kratos Multiphysics Documentation

repository·master·Indexed 23 days ago

https://github.com/kratosmultiphysics/kratos

A high-performance, modular C++ framework for multi-disciplinary engineering simulations featuring a Python interface and support for MPI/OpenMP parallelism. The framework includes specialized applications such as CompressiblePotentialFlowApplication, ConvectionDiffusionApplication, ConstitutiveLawsApplication (supporting orthotropic, hyperelastic, plasticity, and damage models), and ContactStructuralMechanicsApplication.

Tokens
383.1K
Snippets
675
Records
1.4K
Agent score
79%

What's inside Kratos Multiphysics

  1. Overview of Shallow Water Application capabilities

    master

    The Shallow Water Application is a research tool for oceanographic and hydrographic simulations in shallow domains. It supports different physical models and time-stepping schemes:

    • Gravity waves: Supported via BDF and Crank-Nicolson schemes.
    • Saint-Venant equations: Supported via BDF scheme.
    • Boussinesq equations: Supported via BDF and Adams-Moulton schemes.
  2. Overview of the Meshing Application

    master

    The Meshing Application in Kratos provides tools to create, manipulate, and interact with meshes. It serves as an interface for both internal Kratos mesh operations and third-party libraries like Triangle, TetGen, and MMG.

    Key functionalities include:

    • Meshers: Tools for generating new meshes.
    • Utilities: Tools for mesh transfer, refinement, and isosurface cutting.
    • Processes: Computational processes for metrics, LevelSet, Hessian, and error estimation.
    • Custom IO: Specialized input/output handlers (e.g., PFEMGidIO).

    Note: For objects listed without specific methods, functionality is accessed via the __Execute__() function.

  3. Overview of pybind11

    master
    pybind11 is a lightweight, header-only C++ library designed to create seamless Python bindings for existing C++ code. It allows for the exposure of C++ types in Python and vice versa by using compile-time introspection to minimize boilerplate code. Unlike Boost.Python, pybind11 is a compact implementation that relies on C++11 features (tuples, lambdas, and variadic templates) and does not require linking against external libraries.
  4. Overview of Constitutive Laws in Structural Mechanics

    master
    The Structural Mechanics Application in Kratos provides a framework for modeling various engineering constitutive laws (CL). These models describe how materials respond to stress and strain, covering phenomenological behaviors such as hyperelasticity, elastoplasticity, damage, viscoelasticity, and elasto-viscoplasticity. The framework is designed to be modular, allowing for the combination of different material models and mathematical descriptions.
  5. Overview of DotZLib .NET wrapper

    master

    DotZLib is a .NET wrapper class library for ZLib1.dll. It provides managed access to ZLib functionality, including:

    • Memory Buffers: Support for inflating and deflating memory buffers.
    • Streaming: .NET streaming wrappers for the gz streams part of zlib.
    • Checksums: Wrappers for the checksum components of zlib.

    For implementation examples, refer to the DotZLib/UnitTests.cs file.

  6. Overview of Pfem Solid Mechanics Application

    master
    The Pfem Solid Mechanics Application is a specialized module within the Kratos Multiphysics Platform. It is designed as an open-source application with a structure intended to be extensible by users to meet specific research or engineering needs. The application is licensed under the BSD (Berkeley Software Distribution) license, allowing for unrestricted use and distribution, including the development of proprietary extensions.
  7. What is Kratos Multiphysics?

    master

    Kratos is a multi-disciplinary finite element framework designed for building and interacting with various finite element applications. It uses a kernel and application-based approach to minimize conflicts between developers of different physical fields.

    Key technical features include:

    • Variable Base Interface: An innovative interface designed for different levels of abstraction, making it clear and extendible.
    • Type-Safe Data Structures: Efficient and flexible structures for storing any data type in a type-safe manner.
    • Python Scripting: The main simulation procedures are defined using Python, providing high flexibility during runtime.
    • Parallelization: Supports both Shared Memory Machines (SMM) and Distributed Memory Machines (DMM), with verified scalability up to thousands of cores.
  8. Overview of Kratos Sparse Linear Algebra

    master

    Kratos provides a native implementation of sparse linear algebra tools designed for Finite Element Method (FEM) operations. The library provides a consistent interface for two distinct parallel computing environments:

    1. Shared Memory Parallelism (SMP): Used for serial or multi-threaded execution on a single node.
    2. Message Passing Interface (MPI): Used for distributed memory parallel computing across multiple nodes.

    The library focuses on the Compressed Sparse Row (CSR) format. A core workflow involves using "graph" objects to define the matrix's sparsity pattern (the locations of non-zero entries) before numerically populating the matrix.

  9. Overview of VexCL

    master

    VexCL is a vector expression template library designed for OpenCL and CUDA. It is intended to simplify GPGPU development using C++ by reducing the amount of boilerplate code required. The library provides intuitive notation for common GPGPU tasks such as:

    • Vector arithmetic
    • Reductions
    • Sparse matrix-vector products

    VexCL supports multi-device and multi-platform computations.