A novel three-dimensional seismic assessment method (3D-SAM) for buildings based on ambient vibration testing
Notice bibliographique
Résumé
Most of current detailed seismic evaluation methods for buildings are based on numerical approaches. However, there is a need to use state-of-the-art interdisciplinary technologies and techniques to further facilitate such evaluations and improve their reliability, especially in many situations where detailed design documentation is not available. This study introduces a novel approach for seismic assessment of buildings, 3D-SAM, based on in-field ambient vibration measurements using acceleration/velocity sensors located on building platforms (floors and roofs). In the experimental phase of this project, sixteen low and mid-rise irregular buildings designated as emergency shelters in Montreal, Canada were subjected to ambient vibration tests (AVT) and their lowest natural frequencies, corresponding mode shapes and estimates of modal damping ratios are reported. The rate of success of AVT in this study to capture at least the three lowest natural frequencies/modes is unlike previous studies where difficulty of performing AVT and modal extractions in low-rise buildings were reported. Furthermore, the measured natural periods of concrete structures and braced steel frames of the database are compared with those obtained from the Canadian building code period formulas and the results show agreement in the case of braced steel frames. Due to the fact that in-situ experimental modal tests are low cost, and also owing to advances in sensing techniques and analysing procedures to derive the essential structural characteristic of buildings (operational modal analysis is well accepted in other engineering disciplines), the author developed a new three-dimensional seismic assessment method and software, called 3D-SAM in short form, that use this information to perform seismic assessment. The method incorporates torsional effects in predicting response, and therefore can deal with existing structural irregularities, an important limitation of other existing simplified methods. It does not require the creation of any artificial numerical model and can easily be integrated into existing modal identification software. Applications of 3D-SAM to four buildings, low to high-rise, located in Montreal are presented in this study to illustrate and validate the proposed method; results are compared with those obtained using detailed and updated linear dynamic analysis of finite element models of the buildings. Next, a modified 3D-SAM is introduced that incorporates modification factors for the adjustment of modal properties to further extend the application of the method to stronger ground motions that may cause nonlinear response. Finally, the method is used for deriving the dynamic amplification portion of natural torsion on all floors of 16 low to mid-rise irregular buildings located in Montreal, Canada.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».