2023
DOI: 10.32604/cmes.2023.024884
|View full text |Cite
|
Sign up to set email alerts
|

A Novel Localized Meshless Method for Solving Transient Heat Conduction Problems in Complicated Domains

Abstract: This paper first attempts to solve the transient heat conduction problem by combining the recently proposed local knot method (LKM) with the dual reciprocity method (DRM). Firstly, the temporal derivative is discretized by a finite difference scheme, and thus the governing equation of transient heat transfer is transformed into a non-homogeneous modified Helmholtz equation. Secondly, the solution of the non-homogeneous modified Helmholtz equation is decomposed into a particular solution and a homogeneous solut… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 49 publications
0
1
0
Order By: Relevance
“…The shape function in finite element method uses a unified polynomial function, which is convenient and simple. However, most mesh free methods require shape functions for points, which may be different and complex according to different points, resulting in a huge amount of computation for the corresponding matrix 17 19 . For these reasons, the numerical methods mentioned above are not suitable for the the modeling and simulation of bio-heat conduction reverse problems on account of the complexity of biological tissue and organs, and also face great difficulties in the clinical applications such as the real-time detection of temperature field in lesions and its’ surrounding tissues during tumor hyperthermia, the thermal analysis and diagnosis of diseases 20 .…”
mentioning
confidence: 99%
“…The shape function in finite element method uses a unified polynomial function, which is convenient and simple. However, most mesh free methods require shape functions for points, which may be different and complex according to different points, resulting in a huge amount of computation for the corresponding matrix 17 19 . For these reasons, the numerical methods mentioned above are not suitable for the the modeling and simulation of bio-heat conduction reverse problems on account of the complexity of biological tissue and organs, and also face great difficulties in the clinical applications such as the real-time detection of temperature field in lesions and its’ surrounding tissues during tumor hyperthermia, the thermal analysis and diagnosis of diseases 20 .…”
mentioning
confidence: 99%