Abstract
A damage detection and assessment algorithm is developed based on a parameter estimation with an adaptive parameter grouping scheme. Damage is characterized by a reduction in a constitutive property of a parameterized finite-element model between two time-separated inferences. We assume that the baseline parameter values are known. An adaptive parameter grouping scheme is proposed to localize damage in a structural system for which the measured data are sparse. A data perturbation scheme is proposed both for the baseline structure, to establish the damage threshold above which damage can be confidently discerned from noise, and for the damaged structure, to compute the damage indices. To examine and illustrate the damage assessment algorithm, a numerical simulation study on a planar bowstring truss structure is performed.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 568-576 |
| Number of pages | 9 |
| Journal | Journal of Engineering Mechanics |
| Volume | 123 |
| Issue number | 6 |
| State | Published - Jun 1997 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Mechanical Engineering
Cite this
Damage detection and assessment of structures from static response. / Hjelmstad, Keith; Shin, S.
In: Journal of Engineering Mechanics, Vol. 123, No. 6, 06.1997, p. 568-576.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Damage detection and assessment of structures from static response
AU - Hjelmstad, Keith
AU - Shin, S.
PY - 1997/6
Y1 - 1997/6
N2 - A damage detection and assessment algorithm is developed based on a parameter estimation with an adaptive parameter grouping scheme. Damage is characterized by a reduction in a constitutive property of a parameterized finite-element model between two time-separated inferences. We assume that the baseline parameter values are known. An adaptive parameter grouping scheme is proposed to localize damage in a structural system for which the measured data are sparse. A data perturbation scheme is proposed both for the baseline structure, to establish the damage threshold above which damage can be confidently discerned from noise, and for the damaged structure, to compute the damage indices. To examine and illustrate the damage assessment algorithm, a numerical simulation study on a planar bowstring truss structure is performed.
AB - A damage detection and assessment algorithm is developed based on a parameter estimation with an adaptive parameter grouping scheme. Damage is characterized by a reduction in a constitutive property of a parameterized finite-element model between two time-separated inferences. We assume that the baseline parameter values are known. An adaptive parameter grouping scheme is proposed to localize damage in a structural system for which the measured data are sparse. A data perturbation scheme is proposed both for the baseline structure, to establish the damage threshold above which damage can be confidently discerned from noise, and for the damaged structure, to compute the damage indices. To examine and illustrate the damage assessment algorithm, a numerical simulation study on a planar bowstring truss structure is performed.
UR - http://www.scopus.com/inward/record.url?scp=0000671498&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0000671498&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:0000671498
VL - 123
SP - 568
EP - 576
JO - Journal of Engineering Mechanics - ASCE
JF - Journal of Engineering Mechanics - ASCE
SN - 0733-9399
IS - 6
ER -