Les Inscriptions à la Bibliothèque sont ouvertes en
ligne via le site: https://biblio.enp.edu.dz
Les Réinscriptions se font à :
• La Bibliothèque Annexe pour les étudiants en
2ème Année CPST
• La Bibliothèque Centrale pour les étudiants en Spécialités
A partir de cette page vous pouvez :
Retourner au premier écran avec les recherches... |
Détail de l'auteur
Auteur Hae Young Noh
Documents disponibles écrits par cet auteur
Affiner la rechercheUse of wavelet-based damage-sensitive features for structural damage diagnosis using strong motion data / Hae Young Noh in Journal of structural engineering, Vol. 137 N° 10 (Octobre 2011)
[article]
in Journal of structural engineering > Vol. 137 N° 10 (Octobre 2011) . - pp. 1215-1228
Titre : Use of wavelet-based damage-sensitive features for structural damage diagnosis using strong motion data Type de document : texte imprimé Auteurs : Hae Young Noh, Auteur ; Nair, K. Krishnan, Auteur ; Dimitrios G. Lignos, Auteur Année de publication : 2012 Article en page(s) : pp. 1215-1228 Note générale : Génie Civil Langues : Anglais (eng) Mots-clés : Assessment Monitoring Nonstationary processes Earthquake engineering Diagnosis Structural failures Frequency analysis Natural frequency Index. décimale : 624 Constructions du génie civil et du bâtiment. Infrastructures. Ouvrages en terres. Fondations. Tunnels. Ponts et charpentes Résumé : This paper introduces three wavelet-based damage-sensitive features (DSFs) extracted from structural responses recorded during earthquakes to diagnose structural damage. Because earthquake excitations are nonstationary, the wavelet transform, which represents data as a weighted sum of time-localized waves, is used to model the structural responses. These DSFs are defined as functions of wavelet energies at particular frequencies and specific times. The first DSF (DSF1) indicates how the wavelet energy at the original natural frequency of the structure changes as the damage progresses. The second DSF (DSF2) indicates how much the wavelet energy is spread out in time. The third DSF (DSF3) reflects how slowly the wavelet energy decays with time. The performance of these DSFs is validated using two sets of shake-table test data. The results show that as the damage extent increases, the DSF1 value decreases and the DSF2 and DSF3 values increase. Thus, these DSFs can be used to diagnose structural damage. The robustness of these DSFs to different input ground motions is also investigated using a set of simulated data.
DEWEY : 624.17 ISSN : 0733-9445 En ligne : http://ascelibrary.org/sto/resource/1/jsendh/v137/i10/p1215_s1?isAuthorized=no [article] Use of wavelet-based damage-sensitive features for structural damage diagnosis using strong motion data [texte imprimé] / Hae Young Noh, Auteur ; Nair, K. Krishnan, Auteur ; Dimitrios G. Lignos, Auteur . - 2012 . - pp. 1215-1228.
Génie Civil
Langues : Anglais (eng)
in Journal of structural engineering > Vol. 137 N° 10 (Octobre 2011) . - pp. 1215-1228
Mots-clés : Assessment Monitoring Nonstationary processes Earthquake engineering Diagnosis Structural failures Frequency analysis Natural frequency Index. décimale : 624 Constructions du génie civil et du bâtiment. Infrastructures. Ouvrages en terres. Fondations. Tunnels. Ponts et charpentes Résumé : This paper introduces three wavelet-based damage-sensitive features (DSFs) extracted from structural responses recorded during earthquakes to diagnose structural damage. Because earthquake excitations are nonstationary, the wavelet transform, which represents data as a weighted sum of time-localized waves, is used to model the structural responses. These DSFs are defined as functions of wavelet energies at particular frequencies and specific times. The first DSF (DSF1) indicates how the wavelet energy at the original natural frequency of the structure changes as the damage progresses. The second DSF (DSF2) indicates how much the wavelet energy is spread out in time. The third DSF (DSF3) reflects how slowly the wavelet energy decays with time. The performance of these DSFs is validated using two sets of shake-table test data. The results show that as the damage extent increases, the DSF1 value decreases and the DSF2 and DSF3 values increase. Thus, these DSFs can be used to diagnose structural damage. The robustness of these DSFs to different input ground motions is also investigated using a set of simulated data.
DEWEY : 624.17 ISSN : 0733-9445 En ligne : http://ascelibrary.org/sto/resource/1/jsendh/v137/i10/p1215_s1?isAuthorized=no