scholarly journals Fundamental study for elucidating snow cornice formation mechanism of flat roofs based on wind tunnel test using natural snow

2021 ◽  
Vol 83 (3) ◽  
pp. 249-258
Author(s):  
Takahiro CHIBA ◽  
EVGENY Isenko ◽  
Kohei NISHIDA ◽  
Yoshihiko SAITO ◽  
Rina MIURA ◽  
...  
2020 ◽  
Vol 104 (1) ◽  
pp. 731-752
Author(s):  
Jianshuo Wang ◽  
Hongbo Liu ◽  
Zhihua Chen ◽  
Kejian Ma

2014 ◽  
Vol 941-944 ◽  
pp. 747-750
Author(s):  
Ki Pyo You ◽  
Young Moon Kim ◽  
Jang Youl You ◽  
Sun Young Paek

Snowdrift patterns exhibit various forms according to the architectural shapes and models. As snowdrift patterns largely influence the snow loads that buildings have to withstand, a number of studies have been conducted. This study examines snowdrift patterns and how the amount of snow comes to rest depends on the shape of a roof (for flat and gable roofs) using a wind tunnel test. An analysis of snowdrift patterns and accumulation coefficients, which are representative of the depth of snow cover, for flat and gable roofs showed that accumulation coefficient decreases in accordance with increases in wind speed. The gable roof exhibited a slightly higher accumulation coefficient than the flat roof.


2016 ◽  
Vol 127 ◽  
pp. 49-56 ◽  
Author(s):  
Xuanyi Zhou ◽  
Luyang Kang ◽  
Xiaomeng Yuan ◽  
Ming Gu

2021 ◽  
Author(s):  
David F. Castillo Zuñiga ◽  
Alain Giacobini Souza ◽  
Roberto G. da Silva ◽  
Luiz Carlos Sandoval Góes

Author(s):  
Bruno Ricardo Massucatto Padilha ◽  
Guilherme Barufaldi ◽  
ROBERTO GIL ANNES DA SILVA

2016 ◽  
Vol 7 (2) ◽  
pp. 131-138
Author(s):  
Ivransa Zuhdi Pane

Data post-processing plays important roles in a wind tunnel test, especially in supporting the validation of the test results and further data analysis related to the design activities of the test objects. One effective solution to carry out the data post-processing in an automated productive manner, and thus eliminate the cumbersome conventional manual way, is building a software which is able to execute calculations and have abilities in presenting and analyzing the data in accordance with the post-processing requirement. Through several prototype development cycles, this work attempts to engineer and realize such software to enhance the overall wind tunnel test activities. Index Terms—software engineering, wind tunnel test, data post-processing, prototype, pseudocode


2021 ◽  
Vol 11 (8) ◽  
pp. 3315
Author(s):  
Fabio Rizzo

Experimental wind tunnel test results are affected by acquisition times because extreme pressure peak statistics depend on the length of acquisition records. This is also true for dynamic tests on aeroelastic models where the structural response of the scale model is affected by aerodynamic damping and by random vortex shedding. This paper investigates the acquisition time dependence of linear transformation through singular value decomposition (SVD) and its correlation with floor accelerometric signals acquired during wind tunnel aeroelastic testing of a scale model high-rise building. Particular attention was given to the variability of eigenvectors, singular values and the correlation coefficient for two wind angles and thirteen different wind velocities. The cumulative distribution function of empirical magnitudes was fitted with numerical cumulative density function (CDF). Kolmogorov–Smirnov test results are also discussed.


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