Tomographic damage imaging based on inverse acoustic wave propagation using k-space method with adjoint method

Qinan Chang, Tishun Peng, Yongming Liu

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

A novel damage imaging of engineering structures and materials methodology using the k-space method with adjoint method is proposed in this paper. The proposed methodology consists of two parts: the wave propagation solution algorithms for elastic solids in k-space and adjoint method-based optimization algorithms for damage imaging. One major advantage of the proposed method is the superior computational efficiency compared to the classical finite element method-based wave propagation and gradient-based optimization algorithms. The k-space formulation for wave propagation in 2D and 3D solids are discussed first. Adjoint method and a modified conjugate gradient method is presented for the inverse problem of damage imaging. Following this, parametric studies for measurement duration, number of sensors, noise effect, and computational efficiency are discussed in detail. Next, demonstration examples for concrete structures with and without reinforcement are presented. Several conclusions and future work are given based on the proposed method.

Original languageEnglish (US)
Pages (from-to)379-398
Number of pages20
JournalMechanical Systems and Signal Processing
Volume109
DOIs
StatePublished - Sep 1 2018

Fingerprint

Acoustic wave propagation
Wave propagation
Computational efficiency
Imaging techniques
Conjugate gradient method
Inverse problems
Concrete construction
Reinforcement
Demonstrations
Finite element method
Sensors

Keywords

  • Adjoint
  • Damage detection
  • Imaging
  • K-space method
  • Tomography

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Civil and Structural Engineering
  • Aerospace Engineering
  • Mechanical Engineering
  • Computer Science Applications

Cite this

Tomographic damage imaging based on inverse acoustic wave propagation using k-space method with adjoint method. / Chang, Qinan; Peng, Tishun; Liu, Yongming.

In: Mechanical Systems and Signal Processing, Vol. 109, 01.09.2018, p. 379-398.

Research output: Contribution to journalArticle

@article{ab6decf277fb496ea9976e9d506e53d0,
title = "Tomographic damage imaging based on inverse acoustic wave propagation using k-space method with adjoint method",
abstract = "A novel damage imaging of engineering structures and materials methodology using the k-space method with adjoint method is proposed in this paper. The proposed methodology consists of two parts: the wave propagation solution algorithms for elastic solids in k-space and adjoint method-based optimization algorithms for damage imaging. One major advantage of the proposed method is the superior computational efficiency compared to the classical finite element method-based wave propagation and gradient-based optimization algorithms. The k-space formulation for wave propagation in 2D and 3D solids are discussed first. Adjoint method and a modified conjugate gradient method is presented for the inverse problem of damage imaging. Following this, parametric studies for measurement duration, number of sensors, noise effect, and computational efficiency are discussed in detail. Next, demonstration examples for concrete structures with and without reinforcement are presented. Several conclusions and future work are given based on the proposed method.",
keywords = "Adjoint, Damage detection, Imaging, K-space method, Tomography",
author = "Qinan Chang and Tishun Peng and Yongming Liu",
year = "2018",
month = "9",
day = "1",
doi = "10.1016/j.ymssp.2018.02.049",
language = "English (US)",
volume = "109",
pages = "379--398",
journal = "Mechanical Systems and Signal Processing",
issn = "0888-3270",
publisher = "Academic Press Inc.",

}

TY - JOUR

T1 - Tomographic damage imaging based on inverse acoustic wave propagation using k-space method with adjoint method

AU - Chang, Qinan

AU - Peng, Tishun

AU - Liu, Yongming

PY - 2018/9/1

Y1 - 2018/9/1

N2 - A novel damage imaging of engineering structures and materials methodology using the k-space method with adjoint method is proposed in this paper. The proposed methodology consists of two parts: the wave propagation solution algorithms for elastic solids in k-space and adjoint method-based optimization algorithms for damage imaging. One major advantage of the proposed method is the superior computational efficiency compared to the classical finite element method-based wave propagation and gradient-based optimization algorithms. The k-space formulation for wave propagation in 2D and 3D solids are discussed first. Adjoint method and a modified conjugate gradient method is presented for the inverse problem of damage imaging. Following this, parametric studies for measurement duration, number of sensors, noise effect, and computational efficiency are discussed in detail. Next, demonstration examples for concrete structures with and without reinforcement are presented. Several conclusions and future work are given based on the proposed method.

AB - A novel damage imaging of engineering structures and materials methodology using the k-space method with adjoint method is proposed in this paper. The proposed methodology consists of two parts: the wave propagation solution algorithms for elastic solids in k-space and adjoint method-based optimization algorithms for damage imaging. One major advantage of the proposed method is the superior computational efficiency compared to the classical finite element method-based wave propagation and gradient-based optimization algorithms. The k-space formulation for wave propagation in 2D and 3D solids are discussed first. Adjoint method and a modified conjugate gradient method is presented for the inverse problem of damage imaging. Following this, parametric studies for measurement duration, number of sensors, noise effect, and computational efficiency are discussed in detail. Next, demonstration examples for concrete structures with and without reinforcement are presented. Several conclusions and future work are given based on the proposed method.

KW - Adjoint

KW - Damage detection

KW - Imaging

KW - K-space method

KW - Tomography

UR - http://www.scopus.com/inward/record.url?scp=85043998541&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85043998541&partnerID=8YFLogxK

U2 - 10.1016/j.ymssp.2018.02.049

DO - 10.1016/j.ymssp.2018.02.049

M3 - Article

AN - SCOPUS:85043998541

VL - 109

SP - 379

EP - 398

JO - Mechanical Systems and Signal Processing

JF - Mechanical Systems and Signal Processing

SN - 0888-3270

ER -