russell_tensor

Crates.iorussell_tensor
lib.rsrussell_tensor
version1.6.0
sourcesrc
created_at2021-08-24 04:34:43.984797
updated_at2024-05-21 01:15:16.431154
descriptionTensor analysis, calculus, and functions for continuum mechanics
homepagehttps://github.com/cpmech/russell
repositoryhttps://github.com/cpmech/russell
max_upload_size
id441525
size663,662
Dorival Pedroso (cpmech)

documentation

https://docs.rs/russell_tensor

README

Russell Tensor - Tensor analysis, calculus, and functions for continuum mechanics

documentation

This crate is part of Russell - Rust Scientific Library

Contents

Introduction

This library implements structures and functions for tensor analysis and calculus. The library focuses on applications in engineering and [Continuum Mechanics](Continuum Mechanics). The essential functionality for the targeted applications includes second-order and fourth-order tensors, scalar "invariants," and derivatives.

This library implements derivatives for scalar functions with respect to tensors, tensor functions with respect to tensors, and others. A convenient basis representation known as Mandel basis (similar to Voigt notation) is considered by this library internally. The user may also use the Mandel basis to perform simpler matrix-vector operations directly.

Documentation

Installation

This crate depends on some non-rust high-performance libraries. See the main README file for the steps to install these dependencies.

Setting Cargo.toml

Crates.io

👆 Check the crate version and update your Cargo.toml accordingly:

[dependencies]
russell_tensor = "*"

Optional features

The following (Rust) features are available:

  • intel_mkl: Use Intel MKL instead of OpenBLAS

Note that the main README file presents the steps to compile the required libraries according to each feature.

🌟 Examples

This section illustrates how to use russell_tensor. See also:

Allocating Second Order Tensors

use russell_tensor::{Mandel, StrError, Tensor2, SQRT_2};

fn main() -> Result<(), StrError> {
    // general
    let a = Tensor2::from_matrix(
        &[
            [1.0, SQRT_2 * 2.0, SQRT_2 * 3.0],
            [SQRT_2 * 4.0, 5.0, SQRT_2 * 6.0],
            [SQRT_2 * 7.0, SQRT_2 * 8.0, 9.0],
        ],
        Mandel::General,
    )?;
    assert_eq!(
        format!("{:.1}", a.vector()),
        "┌      ┐\n\
         │  1.0 │\n\
         │  5.0 │\n\
         │  9.0 │\n\
         │  6.0 │\n\
         │ 14.0 │\n\
         │ 10.0 │\n\
         │ -2.0 │\n\
         │ -2.0 │\n\
         │ -4.0 │\n\
         └      ┘"
    );

    // symmetric-3D
    let b = Tensor2::from_matrix(
        &[
            [1.0, 4.0 / SQRT_2, 6.0 / SQRT_2],
            [4.0 / SQRT_2, 2.0, 5.0 / SQRT_2],
            [6.0 / SQRT_2, 5.0 / SQRT_2, 3.0],
        ],
        Mandel::Symmetric,
    )?;
    assert_eq!(
        format!("{:.1}", b.vector()),
        "┌     ┐\n\
         │ 1.0 │\n\
         │ 2.0 │\n\
         │ 3.0 │\n\
         │ 4.0 │\n\
         │ 5.0 │\n\
         │ 6.0 │\n\
         └     ┘"
    );

    // symmetric-2D
    let c = Tensor2::from_matrix(
        &[[1.0, 4.0 / SQRT_2, 0.0], [4.0 / SQRT_2, 2.0, 0.0], [0.0, 0.0, 3.0]],
        Mandel::Symmetric2D,
    )?;
    assert_eq!(
        format!("{:.1}", c.vector()),
        "┌     ┐\n\
         │ 1.0 │\n\
         │ 2.0 │\n\
         │ 3.0 │\n\
         │ 4.0 │\n\
         └     ┘"
    );
    Ok(())
}
Commit count: 2720

cargo fmt