检索结果-南通市图书馆

Parameter identification for a damage phase field model using a physics-informed neural network

Theoretical & Applied Mechanics letters 2023年第3期13卷 229-246页

作者： Carlos J.G.Rojas Jos l.Boldrini marco l.bittencourt Department of Integrated System School of Mechanical EngineeringUniversity of CampinasRua Mendeleyev 200CampinasSPZip Code 13083-860Brazil

This work applies concepts of artificial neural networks to identify the parameters of a mathematical model based on phase fields for damage and *** mechanics is the part of the continuum mechanics that models the effects of micro-defect formation using state variables at the macroscopic *** equations that define the model are derived from fundamental laws of physics and provide important relationships among state *** using the model considered in this work produce good qualitative and quantitative results,but many parameters must be adjusted to reproduce certain material *** identification of model parameters is considered by solving an inverse problem that uses pseudo-experimental data to find the best values that fit the *** apply physics informed neural network and combine some classical estimation methods to identify the material parameters that appear in the damage equation of the *** strategy consists of a neural network that acts as an approximating function of the damage evolution with output regularized using the residue of the differential *** stages of optimization seek the best possible values for the neural network and the material *** training alternates between the fitting of only the pseudo-experimental data or the total loss that includes the regularizing *** test the robustness of the method to noisy data and its generalization capabilities using a simple physical case for the damage *** procedure deals better with noisy data in comparison with a more standard PDE-constrained optimization method,and it also provides good approximations of the material parameters and the evolution of damage.

关键词： Deep learning Damage Phase field Parameter fitting Inverse analysis

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：