Research on probabilistic analysis of trapezoidal triangle truss

Shikuan Sun

doi:10.54254/2755-2721/72/20241047

Research Article

Open access

Published on 14 August 2024

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Sun,S. (2024). Research on probabilistic analysis of trapezoidal triangle truss. Applied and Computational Engineering,72,218-228.

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Research on probabilistic analysis of trapezoidal triangle truss

Shikuan Sun *^,1,

¹ Beijing Jiaotong University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/72/20241047

Abstract

As a region affected by the Mongolian Siberian high-pressure system, the Northeast area of China faces extreme low temperatures and snowy weather in winter, which poses a high demand for local energy. As a relatively mature sustainable energy source, laying solar photovoltaic panels on the roofs of residential buildings relied on sufficient local sunlight resources has become a feasible measure. From the perspective of engineering safety, this paper studies the stability of a single span double slope roof steel truss with added solar photovoltaic panels under snow loads. First, the types of loads on the truss are analyzed, assuming the distribution of the load and capacity of any member in the truss structure. Then, Monte Carlo algorithm is used to simulate the failure probability, and finally the failure probability of the member as well as the overall structure is obtained. As a conclusion, this paper finds that the stability of this structure is basically not affected by the above factors, and this provides certain reference significance for balancing safety and economic benefits in practical engineering design.

Keywords

Truss, probabilistic analysis, Monte Carlo algorithm, capacity

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References

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Cite this article

Sun,S. (2024). Research on probabilistic analysis of trapezoidal triangle truss. Applied and Computational Engineering,72,218-228.

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About volume

Volume title: Proceedings of the 2nd International Conference on Functional Materials and Civil Engineering

Conference website: https://www.conffmce.org/

ISBN：978-1-83558-489-7(Print) / 978-1-83558-490-3(Online)

Conference date: 23 August 2024

Editor：Ömer Burak İSTANBULLU

Series: Applied and Computational Engineering

Volume number: Vol.72

ISSN：2755-2721(Print) / 2755-273X(Online)

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