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brew

使用 Homebrew 安装 damask-grid

查看 damask-grid 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。

安装

其他安装命令

macOS

Homebrew已验证 · 100%
brew install damask-grid

local Homebrew formula metadata

概览

软件包摘要

Grid solver of DAMASK - Multi-physics crystal plasticity simulation package

命令和别名

  • DAMASK_grid

历史

项目历史与用法

DAMASK Grid is the regular-grid solver entry point for DAMASK, the Duesseldorf Advanced Material Simulation Kit, a multiphysics crystal-plasticity simulation package used in computational materials science.

项目历史

DAMASK grew as an open materials-science codebase for modeling crystal plasticity, thermal effects, damage, and related multiphysics behavior from microstructure up to component scale. The official literature page lists a 2012 DAMASK publication and a broader 2019 Computational Materials Science paper as core references.

采用历史

The grid solver is important to users who want FFT/spectral-style or structured-grid workflows with YAML material and load-case descriptions. DAMASK documentation and examples expose a Python-assisted workflow around material.yaml, numerics.yaml, VTK ImageData geometry, and generated load cases.

使用方式

A typical package-manager install exposes DAMASK_grid for running simulations with a geometry file, load-case YAML, and material.yaml, with OpenMP or MPI used for parallel execution when available.

为什么软件包爱好者会关心

For package nerds, damask-grid is a scientific CLI where the package is only a small front door into a heavyweight solver stack: compilers, MPI/OpenMP, YAML inputs, HDF5-style result handling, and research reproducibility all matter.

时间线

  • 2012: DAMASK literature records an early publication on FE and spectral solver use.
  • 2019: The multiphysics DAMASK paper summarized the broader package architecture.
  • 2024: Official documentation examples describe modern DAMASK 3-era grid workflows.

Related projects

  • DAMASK Grid is part of the wider DAMASK suite alongside mesh-solver workflows, Python preprocessing/postprocessing helpers, material configuration tooling, and research codes for crystal plasticity and microstructure analysis.

安全态势

风险级别:绿色

narrow executable package without higher-risk signals.

风险分类器

绿色 风险 · 低 置信度 · appliance

原因

  • narrow executable package without higher-risk signals

信号

  • metadata:no-higher-risk-signals

安装行为

  • formula 元数据中未记录 Homebrew post-install 钩子。
  • Homebrew bottle 元数据适用于 6 个平台目标。
  • 安装时包含 9 个运行时依赖。
  • 构建元数据列出 2 个构建依赖。

建议审查

在无人值守的代理使用前,请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。

local files

Configuration and credential file locations

These source-backed paths show where this package keeps local settings or durable credentials. Automic Vault can use them as review targets for secret scanning, migration, and command approval.

Configuration files

Config paths the tool may read or write during local use.

Unix
material.yamlnumerics.yaml<loadcase>.yaml

可执行文件

已安装的可执行文件

命令类型暴露范围备注
DAMASK_gridcli全局可执行文件

新鲜度

版本和新鲜度

这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时,才会提示版本落后。

页面生成时间2026-07-10
管理器版本3.0.2
管理器更新时间2026-06-22
本地数据OK
上游not checked
检测到的最新版本未检测到

https://damask-multiphysics.org

安装元数据

软件包元数据

软件包键brew:damask-grid
版本3.0.2
软件包管理器Homebrew
软件包管理器页面https://formulae.brew.sh/formula/damask-grid
主页https://damask-multiphysics.org
仓库https://github.com/damask-multiphysics/DAMASK
上游文档https://damask-multiphysics.org/dev/installation/source_code.html
许可证AGPL-3.0-only
源码归档https://damask-multiphysics.org/download/damask-3.0.2.tar.xz
最后更新2026-06-22T14:03:07-07:00
Pulseupdated
依赖fftw, gcc, hdf5-mpi, libomp, metis, open-mpi, openblas, petsc, scalapack
构建依赖cmake, pkgconf
Bottle可用 (于 arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux)
Homebrew post-install未定义
服务未声明

注册表事实

源数据库详情

Source DatabaseHomebrew formula API
Taphomebrew/core
Full Namedamask-grid
Version Scheme0
Revision3
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • stable

来源线索

由仓库数据生成

此页面由 av-webscripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。

使用的来源

  • Geiger risk classifier
  • Nucleus package database
  • av.db category and tag curation
  • cross-ecosystem install command graph
  • curated configuration and credential file locations
  • curated package history
  • package relationship graph
  • package version freshness
  • package-page enrichment