.png){kind=icon}
返回
Identification problem in plug-flow chemical reactors using the adjoint method
.png){kind=icon}
PRE
AI
DOI：10.1016/j.compchemeng.2016.11.029.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The aim of this work is to solve identification problems in plug-flow chemical reactors. For this purpose an adjoint-based algorithm for parameter identification problems in systems of partial differential equations is presented. The adjoint method allows us to calculate the gradient of the objective function and the constraint functions with respect to the unknown parameters significantly reducing the computer time. This leads to solve a minimization problem, in which an objective function is defined in order to quantify the mismatch between the observed data and the numerical solution of the parameterized chemical model. For solving the initial and boundary-value problem we use finite-difference schemes. More precisely, we propose a second-order BDF method initialized with a first-order one. The algorithm proposed was implemented in a computer program and some numerical results are shown. The efficiency of the adjoint method, compared with the classical formula of incremental quotients, is also presented. (C) 2016 Elsevier Ltd. All rights reserved.
Keyword:
Chemical kinetics
Plug-flow reactor
Identification
Adjoint method
Integral method
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
C
IF:
3.9
论文数:
8.1K
被引数:
1.7W
机构
引用论文
分享收藏分享收藏分享收藏
分享收藏Introduction to Automatic Differentiation and MATLAB Object-Oriented Programming.png)
SIAM REVIEW
SIAM REVIEWIF6.1
PREAI
分享收藏Coloniality and a global testing regime in higher education: unpacking the OECD’s AHELO initiative
PREAI
分享收藏
查看更多内容