ENGLISH
La vitrine de diffusion des publications et contributions des chercheurs(-euses) de l'ÉTS
RECHERCHER

Multiresolution dynamic mode decomposition approach for wind pressure analysis and reconstruction around buildings

Snaiki, Reda et Mirfakhar, Seyedeh Fatemeh. 2024. « Multiresolution dynamic mode decomposition approach for wind pressure analysis and reconstruction around buildings ». Computer-Aided Civil and Infrastructure Engineering, vol. 39, nº 22. pp. 3375-3391.
Compte des citations dans Scopus : 10.

[thumbnail of Snaiki-R-2024-29033.pdf]
Prévisualisation
PDF
Snaiki-R-2024-29033.pdf - Version publiée
Licence d'utilisation : Creative Commons CC BY-NC-ND.

Télécharger (5MB) | Prévisualisation

Résumé

Accurate wind pressure analysis on high-rise buildings is critical for wind load prediction. However, traditional methods struggle with the inherent com- plexity and multiscale nature of these data. Furthermore, the high cost and practical limitations of deploying extensive sensor networks restrict the data col- lection capabilities. This study addresses these limitations by introducing a novel framework for optimal sensor placement on high-rise buildings. The frame- work leverages the strengths of multiresolution dynamic mode decomposition (mrDMD) for feature extraction and incorporates a novel regularization term within an existing sensor placement algorithm under constraints. This innova- tive term enables the algorithm to consider real-world system constraints during sensor selection, leading to a more practical and efficient solution for wind pressure analysis. mrDMD effectively analyzes the multiscale features of wind pressure data. The extracted mrDMD modes, combined with the enhanced con- strained QR decomposition technique, guide the selection of informative sensor locations. This approach minimizes the required number of sensors while ensur- ing accurate pressure field reconstruction and adhering to real-world placement constraints. The effectiveness of this method is validated using data from a scaled building model tested in a wind tunnel. This approach has the potential to rev- olutionize wind pressure analysis for high-rise buildings, paving the way for advancements in digital twins, real-time monitoring, and risk assessment of wind loads.

Type de document: Article publié dans une revue, révisé par les pairs
Chercheur(-euse):
Chercheur(-euse)
Snaiki, Reda
Affiliation: Génie de la construction
Date de dépôt: 30 juill. 2024 18:56
Dernière modification: 15 juill. 2025 14:35
URI: https://espace2.etsmtl.ca/id/eprint/29033

Actions (Authentification requise)

Dernière vérification avant le dépôt Dernière vérification avant le dépôt