2002
DOI: 10.1061/(asce)0733-9399(2002)128:1(7)
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Load Vectors for Damage Localization

Abstract: A technique to localize damage in structures that can be treated as linear in the pre and postdamage states is presented. Central to the approach is the computation of a set of vectors, designated as Damage Locating Vectors (DLVs) that have the property of inducing stress fields whose magnitude is zero in the damaged elements (small in the presence of truncations and approximations). The DLVs are associated with sensor coordinates and are computed systematically as the null space of the change in measured flex… Show more

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Cited by 271 publications
(192 citation statements)
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“…The Damage Location Vector (DLV) method, first proposed by Bernal (2002a), is based upon determination of a special set of vectors, the so-called damage location vectors (DLVs). The DLVs have the property that when they are applied to the structure as static forces at the sensor locations, no stress is induced in the damaged elements.…”
Section: The DLV Methodsmentioning
confidence: 99%
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“…The Damage Location Vector (DLV) method, first proposed by Bernal (2002a), is based upon determination of a special set of vectors, the so-called damage location vectors (DLVs). The DLVs have the property that when they are applied to the structure as static forces at the sensor locations, no stress is induced in the damaged elements.…”
Section: The DLV Methodsmentioning
confidence: 99%
“…(16), because of noise and computational errors, the singular values corresponding to are generally not exactly zero. To select the DLVs from the SVD of the matrix , an index svn was proposed by Bernal (2002a) and defined as (19) in which = the ith singular value of the matrix ; = constant that is used to normalize the maximum stress in the structural element, which is induced by the static load , to have a value of one; and is the right singular vector of . Each of the DLVs is then applied to an undamaged analytical model of the structure, and the stress in each structural element is calculated.…”
Section: The DLV Methodsmentioning
confidence: 99%
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