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abq_post_analytics_extension
项目简介
abaqus后处理数据分析操作扩展包,提供高效访问 Abaqus ODB 数据的解决方案,特别针对大规模后处理场景优化。
本软件包封装了从Odb文件提取多帧多节点/单元场输出数据并进行后处理的完整流程,显著提升开发效率。
项目文档
完整的项目文档请访问:https://abq-post-analytics-extension.readthedocs.io/zh-cn/latest/
项目地址
代码仓库地址:https://gitee.com/FeiI8/abq_post_analytics_extension
核心功能
- 高效数据访问:通过预构建索引字典实现 O(1) 复杂度的节点/单元数据快速定位
- 数据自动关联:自动关联几何数据与场输出数据
- 批量处理优化:封装复杂数据层级关系,简化多帧批量处理
- 面向对象API:提供简洁的API设计,避免重复实现底层逻辑
软件架构
abq_post_analytics_extension/
├── core/ # 核心业务模块
│ ├── access.py # Abaqus ODB数据访问
│ └── analysis/ # 数据分析子模块
├── utils/ # 通用工具包
│ ├── file_operations.py
│ ├── logger_and_print.py
│ ├── system_utilities.py
│ └── scientific_computing.py
└── default_config.py # 默认配置文件
安装说明
系统要求
- 支持运行SIMULIA Abaqus的系统环境(Windows/Linux/Unix)
- 必须安装完整的Abaqus软件套件
- Python 2.7(Abaqus内置Python版本)
安装步骤
-
下载 setuptools: 访问 setuptools官方页面 下载最新的 setuptools 压缩包
-
解压 setuptools: 将下载的压缩包解压到一个临时目录中
-
安装 setuptools:
<Abaqus安装路径>\SIMULIA\EstProducts\2020\win_b64\tools\SMApy\python2.7\python.exe setup.py install
- 安装本软件包:
<Abaqus安装路径>\SIMULIA\EstProducts\2020\win_b64\tools\SMApy\python2.7\python.exe setup.py install
使用示例
以下是一个基础使用示例,展示如何分析网球拍和网球的仿真数据:
# -- coding: UTF-8 --
from abq_post_analytics_extension.utils.system_utilities import AbqPostExtensionManager from abq_post_analytics_extension.core.analysis.base import PackagedOdbObjects, AllPackagedMeshObjectsSelector, LabelsPackagedMeshObjectsSelector, FieldOutputDatasGetter from abq_post_analytics_extension.core.analysis.analyzer import AllFrameAllFieldValueAnalyzer, ExtremaValueSelector, AverageCalculator, VarianceCalculator, SpecifyFieldHistoryValueAnalyzer
packaged_odb_objects = PackagedOdbObjects() # 初始化ODB资源封装对象
# 几何选择器对象初始化
sphere = AllPackagedMeshObjectsSelector( # 网球球体选择器 packaged_odb_objects=packaged_odb_objects, instance_name="PART-1-1", set_name='SPHERE')
# 分析器配置
feature_algorithms1 = { "x_data": [ExtremaValueSelector(), AverageCalculator(), VarianceCalculator()], "y_data": [ExtremaValueSelector(), AverageCalculator(), VarianceCalculator()], "z_data": [ExtremaValueSelector(), AverageCalculator(), VarianceCalculator()], "magnitude_data": [ExtremaValueSelector(), AverageCalculator(), VarianceCalculator()]}
sphere_ur_all_datas_handler = AllFrameAllFieldValueAnalyzer( name="sphere_ur_all_datas_handler", field_output_type="UR", packaged_meshes_handler=sphere, feature_algorithm=feature_algorithms1)
# 数据处理执行
all_max_field_output_datas_getter = FieldOutputDatasGetter(packaged_odb_objects=packaged_odb_objects) all_max_field_output_datas_getter.add_frame_handler(sphere_ur_all_datas_handler) all_max_field_output_datas_getter.get_field_output_datas()
# 保存结果
sphere_ur_all_datas_handler.save_datas()
# 资源释放
AbqPostExtensionManager().close()
适用场景
- 自动化后处理
- 多帧时程分析
- 复杂数据关联分析
- 大规模ODB数据分析
版本兼容性
| Abaqus版本 | 支持状态 |
|---|---|
| 2020 | 完全支持 |
| 其他版本 | 理论支持 |
参与贡献
- Fork 本仓库
- 新建 Feat_xxx 分支
- 提交代码
- 新建 Pull Request
许可证
本项目采用 GPL-3.0 License - 详见 LICENSE 文件
Metadata
Release files for abq-post-analytics-extension 1.0.1
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Total release size: 268.9 kB
Release files / abq_post_analytics_extension-1.0.1.tar.gz
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