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Title: A gradient-based optimization approach for the detection of partially connected surfaces using vibration tests

Abstract

The integrity of engineering structures is often compromised by embedded surfaces that result from incomplete bonding during the manufacturing process, or initiation of damage from fatigue or impact processes. Examples include delaminations in composite materials, incomplete weld bonds when joining two components, and internal crack planes that may form when a structure is damaged. In many cases the areas of the structure in question may not be easily accessible, thus precluding the direct assessment of structural integrity. In this paper, we present a gradient-based, partial differential equation (PDE)-constrained optimization approach for solving the inverse problem of interface detection in the context of steady-state dynamics. An objective function is defined that represents the difference between the model predictions of structural response at a set of spatial locations, and the experimentally measured responses. One of the contributions of our work is a novel representation of the design variables using a density field that takes values in the range [0, 1] and raised to an integer exponent that promotes solutions to be near the extrema of the range. The density field is combined with the penalty method for enforcing a zero gap condition and realizing partially bonded surfaces. Furthermore the use of themore » penalty method with a density field representation leads to objective functions that are continuously differentiable with respect to the unknown parameters, enabling the use of efficient gradient-based optimization algorithms. Numerical examples of delaminated plates are presented to demonstrate the feasibility of the approach.« less

Authors:
 [1];  [2];  [2];  [2]
+ Show Author Affiliations
  1. Duke Univ., Durham, NC (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1499696
Report Number(s):
SAND-2018-1899J
Journal ID: ISSN 0045-7825; 660838
Grant/Contract Number:  
AC04-94AL85000
Resource Type:
Accepted Manuscript
Journal Name:
Computer Methods in Applied Mechanics and Engineering
Additional Journal Information:
Journal Volume: 345; Journal Issue: C; Journal ID: ISSN 0045-7825
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; Interface detection; Inverse problems; Finite element; Constrained optimization; Penalty method; Structural dynamics

Citation Formats

Aquino, Wilkins, Bunting, Gregory, Miller, Scott T., and Walsh, Timothy F. A gradient-based optimization approach for the detection of partially connected surfaces using vibration tests. United States: N. p., 2018. Web. doi:10.1016/j.cma.2018.11.002.
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Aquino, Wilkins, Bunting, Gregory, Miller, Scott T., & Walsh, Timothy F. A gradient-based optimization approach for the detection of partially connected surfaces using vibration tests. United States. https://doi.org/10.1016/j.cma.2018.11.002
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Aquino, Wilkins, Bunting, Gregory, Miller, Scott T., and Walsh, Timothy F. Wed . "A gradient-based optimization approach for the detection of partially connected surfaces using vibration tests". United States. https://doi.org/10.1016/j.cma.2018.11.002. https://www.osti.gov/servlets/purl/1499696.
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@article{osti_1499696,
title = {A gradient-based optimization approach for the detection of partially connected surfaces using vibration tests},
author = {Aquino, Wilkins and Bunting, Gregory and Miller, Scott T. and Walsh, Timothy F.},
abstractNote = {The integrity of engineering structures is often compromised by embedded surfaces that result from incomplete bonding during the manufacturing process, or initiation of damage from fatigue or impact processes. Examples include delaminations in composite materials, incomplete weld bonds when joining two components, and internal crack planes that may form when a structure is damaged. In many cases the areas of the structure in question may not be easily accessible, thus precluding the direct assessment of structural integrity. In this paper, we present a gradient-based, partial differential equation (PDE)-constrained optimization approach for solving the inverse problem of interface detection in the context of steady-state dynamics. An objective function is defined that represents the difference between the model predictions of structural response at a set of spatial locations, and the experimentally measured responses. One of the contributions of our work is a novel representation of the design variables using a density field that takes values in the range [0, 1] and raised to an integer exponent that promotes solutions to be near the extrema of the range. The density field is combined with the penalty method for enforcing a zero gap condition and realizing partially bonded surfaces. Furthermore the use of the penalty method with a density field representation leads to objective functions that are continuously differentiable with respect to the unknown parameters, enabling the use of efficient gradient-based optimization algorithms. Numerical examples of delaminated plates are presented to demonstrate the feasibility of the approach.},
doi = {10.1016/j.cma.2018.11.002},
journal = {Computer Methods in Applied Mechanics and Engineering},
number = C,
volume = 345,
place = {United States},
year = {Wed Nov 14 00:00:00 EST 2018},
month = {Wed Nov 14 00:00:00 EST 2018}
}
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https://doi.org/10.1016/j.cma.2018.11.002
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    Works referencing / citing this record:

    Structural damage identification by sparse deep belief network using uncertain and limited data
    journal, May 2020

    • Ding, Zhenghao; Li, Jun; Hao, Hong
    • Structural Control and Health Monitoring, Vol. 27, Issue 5
    • DOI: 10.1002/stc.2522
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