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A universal fast algorithm for sensitivity-based structural damage detection.
Yang, Q W; Liu, J K; Li, C H; Liang, C F.
Afiliação
  • Yang QW; Department of Civil Engineering, Shaoxing University, Shaoxing 312000, China.
  • Liu JK; Department of Mechanics, Sun Yat-Sen University, Guangzhou 510275, China.
  • Li CH; Department of Civil Engineering, Shaoxing University, Shaoxing 312000, China.
  • Liang CF; Department of Civil Engineering, Shaoxing University, Shaoxing 312000, China.
ScientificWorldJournal ; 2013: 235820, 2013.
Article em En | MEDLINE | ID: mdl-24453815
Structural damage detection using measured response data has emerged as a new research area in civil, mechanical, and aerospace engineering communities in recent years. In this paper, a universal fast algorithm is presented for sensitivity-based structural damage detection, which can quickly improve the calculation accuracy of the existing sensitivity-based technique without any high-order sensitivity analysis or multi-iterations. The key formula of the universal fast algorithm is derived from the stiffness and flexibility matrix spectral decomposition theory. With the introduction of the key formula, the proposed method is able to quickly achieve more accurate results than that obtained by the original sensitivity-based methods, regardless of whether the damage is small or large. Three examples are used to demonstrate the feasibility and superiority of the proposed method. It has been shown that the universal fast algorithm is simple to implement and quickly gains higher accuracy over the existing sensitivity-based damage detection methods.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Modelos Teóricos Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: ScientificWorldJournal Ano de publicação: 2013 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Modelos Teóricos Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: ScientificWorldJournal Ano de publicação: 2013 Tipo de documento: Article