Abstract

A new inverse heat conduction (IHC) framework for 3D crack-like damage imaging reconstruction is proposed in this paper. First, the basic idea to use the IHC for 3D damage imaging is discussed and formulated. The proposed IHC includes three major components: forward thermal analysis solver, adjoint method for efficient sensitivity analysis, and conjugate gradient method with constraints for optimal inverse solutions. Following this, the proposed IHC framework is applied to a simple one dimensional problem to illustrate the key steps. Next, two application examples (one for isotropic and homogeneous material and one for anisotropic and heterogeneous material) in 3D are investigated. Special focuses on the detectability, convergence, and robustness are discussed in detail. Finally, several conclusions and future work are drawn based on the proposed study and numerical results.

Original languageEnglish (US)
Pages (from-to)426-434
Number of pages9
JournalInternational Journal of Heat and Mass Transfer
Volume102
DOIs
StatePublished - Nov 1 2016

Fingerprint

Heat conduction
conductive heat transfer
cracks
damage
Cracks
Imaging techniques
conjugate gradient method
Conjugate gradient method
sensitivity analysis
Thermoanalysis
Sensitivity analysis
thermal analysis

Keywords

  • Adjoint
  • Crack
  • Damage imaging reconstruction
  • Delamination
  • Inverse heat conduction

ASJC Scopus subject areas

  • Condensed Matter Physics
  • Mechanical Engineering
  • Fluid Flow and Transfer Processes

Cite this

3D crack-like damage imaging using a novel inverse heat conduction framework. / Peng, Tishun; Liu, Yongming.

In: International Journal of Heat and Mass Transfer, Vol. 102, 01.11.2016, p. 426-434.

Research output: Contribution to journalArticle

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AB - A new inverse heat conduction (IHC) framework for 3D crack-like damage imaging reconstruction is proposed in this paper. First, the basic idea to use the IHC for 3D damage imaging is discussed and formulated. The proposed IHC includes three major components: forward thermal analysis solver, adjoint method for efficient sensitivity analysis, and conjugate gradient method with constraints for optimal inverse solutions. Following this, the proposed IHC framework is applied to a simple one dimensional problem to illustrate the key steps. Next, two application examples (one for isotropic and homogeneous material and one for anisotropic and heterogeneous material) in 3D are investigated. Special focuses on the detectability, convergence, and robustness are discussed in detail. Finally, several conclusions and future work are drawn based on the proposed study and numerical results.

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