Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Pair-Copula-based trivariate joint probability model of wind speed, wind direction and angle of attack
https://orcid.org/0000-0002-6198-4942
https://orcid.org/0000-0001-5681-5901
https://orcid.org/0000-0002-2430-8259
https://orcid.org/0000-0001-9879-0626
Abstract The temporal and spatial distribution of wind fields in the deep-cut gorge bridge site is complex, and the impact of different incoming flows on the structure is also essentially different. Therefore, it is essential to comprehensively consider the correlation between wind direction, wind speed, and angle of attack. The joint probability models between average wind parameters are first established using the Pair-Copula decomposition based on the field-measured data. Then, the concept of the probability-segmentation-based first order inverse reliability method (PSB-IFORM) is proposed for calculating the environmental surface of the multi-peak joint distribution model. The results show that the mixed von Mises distribution is ideal to fit the wind direction with multi-peak characteristics. The trivariate joint probability model constructed in this paper ultimately represents the correlation of average wind parameters, and the most unfavorable combination of design wind parameters can be found on the environmental surface. Furthermore, the proposed PSB-IFORM can effectively avoid the defects of the inverse first-order reliability method (IFORM) and the conservative highest probability contour (HDC) method in solving the multi-peak joint probability distribution model. This study is of particular interest to researchers and engineers engaged in wind resistance of mountain structures.
Highlights The reasonable univariate distribution model of the mean wind parameters are found. A binary and trivariate joint probability model with periodic bimodal characteristics are constructed. The inverse first-order reliability method (IFORM) is improved and extended. The environmental surfaces and contours of the mean wind parameters are solved.
Pair-Copula-based trivariate joint probability model of wind speed, wind direction and angle of attack
https://orcid.org/0000-0002-6198-4942
https://orcid.org/0000-0001-5681-5901
https://orcid.org/0000-0002-2430-8259
https://orcid.org/0000-0001-9879-0626
Abstract The temporal and spatial distribution of wind fields in the deep-cut gorge bridge site is complex, and the impact of different incoming flows on the structure is also essentially different. Therefore, it is essential to comprehensively consider the correlation between wind direction, wind speed, and angle of attack. The joint probability models between average wind parameters are first established using the Pair-Copula decomposition based on the field-measured data. Then, the concept of the probability-segmentation-based first order inverse reliability method (PSB-IFORM) is proposed for calculating the environmental surface of the multi-peak joint distribution model. The results show that the mixed von Mises distribution is ideal to fit the wind direction with multi-peak characteristics. The trivariate joint probability model constructed in this paper ultimately represents the correlation of average wind parameters, and the most unfavorable combination of design wind parameters can be found on the environmental surface. Furthermore, the proposed PSB-IFORM can effectively avoid the defects of the inverse first-order reliability method (IFORM) and the conservative highest probability contour (HDC) method in solving the multi-peak joint probability distribution model. This study is of particular interest to researchers and engineers engaged in wind resistance of mountain structures.
Highlights The reasonable univariate distribution model of the mean wind parameters are found. A binary and trivariate joint probability model with periodic bimodal characteristics are constructed. The inverse first-order reliability method (IFORM) is improved and extended. The environmental surfaces and contours of the mean wind parameters are solved.
Pair-Copula-based trivariate joint probability model of wind speed, wind direction and angle of attack
https://orcid.org/0000-0002-6198-4942
https://orcid.org/0000-0001-5681-5901
https://orcid.org/0000-0002-2430-8259
https://orcid.org/0000-0001-9879-0626
Abstract The temporal and spatial distribution of wind fields in the deep-cut gorge bridge site is complex, and the impact of different incoming flows on the structure is also essentially different. Therefore, it is essential to comprehensively consider the correlation between wind direction, wind speed, and angle of attack. The joint probability models between average wind parameters are first established using the Pair-Copula decomposition based on the field-measured data. Then, the concept of the probability-segmentation-based first order inverse reliability method (PSB-IFORM) is proposed for calculating the environmental surface of the multi-peak joint distribution model. The results show that the mixed von Mises distribution is ideal to fit the wind direction with multi-peak characteristics. The trivariate joint probability model constructed in this paper ultimately represents the correlation of average wind parameters, and the most unfavorable combination of design wind parameters can be found on the environmental surface. Furthermore, the proposed PSB-IFORM can effectively avoid the defects of the inverse first-order reliability method (IFORM) and the conservative highest probability contour (HDC) method in solving the multi-peak joint probability distribution model. This study is of particular interest to researchers and engineers engaged in wind resistance of mountain structures.
Highlights The reasonable univariate distribution model of the mean wind parameters are found. A binary and trivariate joint probability model with periodic bimodal characteristics are constructed. The inverse first-order reliability method (IFORM) is improved and extended. The environmental surfaces and contours of the mean wind parameters are solved.
Pair-Copula-based trivariate joint probability model of wind speed, wind direction and angle of attack
Zhang, Jinxiang (Autor:in) / Zhang, Mingjin (Autor:in) / Jiang, Xulei (Autor:in) / Wu, Lianhuo (Autor:in) / Qin, Jingxi (Autor:in) / Li, Yongle (Autor:in)
24.04.2022
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch