Reliability Analysis of High Rise Building Considering Wind Load Uncertainty

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Zhang, Y.; Yan, K.; Cheng, T.: Reliability Analysis of High Rise Building Considering Wind Load Uncertainty. In: Civil Engineering Journal 4 (2018), Nr. 3, S. 469-477. DOI: https://doi.org/10.28991/cej-0309106

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/4922

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Sum total of downloads: 66




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Abstract: 
In engineering structures, the safety problems are always depending on the respond of structures to different types of load. The safety assessment of a high rise building is highly depending on the analysis of environmental load. Many codes and practices have proposed many requirements for engineers in the design works. These include safety factors, limitations on damage, maximum deflections and so on. When violations in these requirements occur, the structure is believed to be dangerous. But once the problem becomes complicated such as multiple unknown loads in one building, it requires reliability analysis in the design. It must take care of all the assumptions and uncertainties in the structural design. In probabilistic assessment, any input variable is considered as an uncertainty. However, the traditional way to deal with these problems may have problems when uncertainties are large. Many probabilistic safety measures need to be reconsidered in engineering work. This paper, we will provide reliability analysis on a high rise building with consideration of wind load. All the most commonly applied reliability methods are been utilized in this analysis and compared base on the performance. The statistical influences including correlation and distribution type are also discussed in the same reliability problem.
License of this version: CC BY 4.0 Unported
Document Type: article
Publishing status: publishedVersion
Issue Date: 2018
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 24 36.36%
2 image of flag of Hong Kong Hong Kong 10 15.15%
3 image of flag of China China 5 7.58%
4 image of flag of India India 4 6.06%
5 image of flag of Australia Australia 4 6.06%
6 image of flag of United States United States 3 4.55%
7 image of flag of Malaysia Malaysia 3 4.55%
8 image of flag of Portugal Portugal 2 3.03%
9 image of flag of Netherlands Netherlands 2 3.03%
10 image of flag of Korea, Republic of Korea, Republic of 1 1.52%
    other countries 8 12.12%

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