DOAJ Open Access 2024

An Innovative Method for Wind Load Estimation in High-Rise Buildings Based on Green’s Function

Lin Song Yang Yu Jianxing Yu Shibo Wu Jiandong Ma +1 lainnya

Abstrak

High-rise buildings are inherently vulnerable to substantial wind-induced forces. The increasing complexity of building designs has posed challenges in calculating wind loads, while traditional methods involving physical models have proven to be intricate and time-consuming. In order to overcome these obstacles, this paper investigates a theoretical methodology aimed at streamlining the computation of wind loads. In the initial theoretical exploration, a simplified mathematical model based on Green’s function is introduced to take into account the interaction between wind loads and building geometry, while the model is not user-friendly and difficult to solve for complex polygonal buildings. To overcome this challenge, the study incorporates numerical simulations to extend the ideas and refine the methodology. To simplify the problem from a three-dimensional to a two-dimensional context, a bold tangential field assumption is made, assuming the wind pressure distribution remains similar across horizontal sections at different heights. The Schwarz–Christoffel formulation is then employed to facilitate the transformation. By integrating Green’s functions and conformal mapping to solve potential flow problems beyond the boundary layer, a comprehensive mathematical derivation is established. The above broadens the applicability of the mathematical theory and provides a new direction for estimations of high-speed wind load on buildings.

Topik & Kata Kunci

Penulis (6)

L

Lin Song

Y

Yang Yu

J

Jianxing Yu

S

Shibo Wu

J

Jiandong Ma

Z

Zihang Jin

Format Sitasi

Song, L., Yu, Y., Yu, J., Wu, S., Ma, J., Jin, Z. (2024). An Innovative Method for Wind Load Estimation in High-Rise Buildings Based on Green’s Function. https://doi.org/10.3390/math12111747

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Informasi Jurnal
Tahun Terbit
2024
Sumber Database
DOAJ
DOI
10.3390/math12111747
Akses
Open Access ✓