Strategies to Reduce Seismic Losses and Improve Seismic Loss Assessments
Notice bibliographique
Résumé
While seismic design provisions have improved building safety and reduced collapse incidents, the socio-economic impact of earthquakes persists as a significant concern. Excessive residual drifts and damage to structural and non-structural components may lead to building demolition or costly repairs, resulting in business interruptions, economic losses, and protracted disaster recovery for cities. This thesis commences by exploring approaches to mitigate seismic losses by comparing controlled rocking braced frames (CRBFs) to more conventional ductile steel seismic force-resisting systems (SFRSs). Three widely used ductile SFRS types in the seismic design of buildings are special moment resisting frames (SMRFs), special concentrically braced frames (SCBFs), and buckling-restrained braced frames (BRBFs). However, these ductile SFRSs have been associated with prominent structural damage and substantial residual deformations in past observed earthquakes. CRBFs offer an alternative SFRS with less structural damage, but concerns exist about potential trade-offs, such as increased acceleration and displacement demands, and associated nonstructural damage. This thesis explores these trade-offs in buildings of varying heights with both ductile SFRSs and CRBFs, assessing the structural response under varying earthquakes and focusing on expected annual losses (EALs). The results show that CRBF-equipped buildings still have lower total EALs even when considering these factors. CRBFs offer designers a high degree of control during the design process, with previous research demonstrating low collapse risk across a broad spectrum of design options. However, some studies have also highlighted the increased demands on nonstructural components in CRBF buildings. Therefore, while CRBFs have shown satisfactory collapse performance for various design options, assessing these options in terms of nonstructural component performance is essential. This thesis examines how two design parameters, namely the response modification factor (R) for rocking joint design and the amplification factor for considering higher-mode forces in steel member capacity design, influence earthquake-induced losses in CRBFs. The results indicate that although total EALs do not differ significantly across various design options, the distribution of losses between repairable and irreparable losses varies. In the above-mentioned portions of the thesis, the seismic loss assessments follow the FEMA P-58 methodology, which involves two essential steps: first, evaluating damage using damage fragility curves, and then assessing the effects of this damage through consequence models. Both of these steps are critically evaluated in the second half of this thesis. Fragility curves, including those in the FEMA P58 library, typically use peak floor accelerations (PFAs) to estimate losses in acceleration-sensitive nonstructural components. However, PFAs, like peak ground accelerations (PGAs) for buildings, have limitations as engineering demand parameters (EDPs) because they do not reflect the period of these components. In search of suitable options for creating seismic damage fragility curves, this thesis evaluates fifteen other EDPs proposed in the literature. This thesis also addresses an ambiguity in FEMA P-58's consequence modeling. The modeling of economies of scale is an integral part of consequence modeling. However, the lack of a clear definition for aggregate damage, which is a factor that significantly influences component modeling of economies of scale, can substantially impact simulated repair costs, repair times, and performance assessment. Overall, this thesis provides insights into reducing seismic losses by designing CRBFs as an alternative to commonly used SFRSs, and into improving seismic loss assessments by enhancing the damage fragility curves and consequence models within the widely-used FEMA P58 methodology.
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 | 0,003 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,003 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,002 |
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 ».