Detail publikačního výsledku

Shape-adaptive Climate Loading of Tensile Surface Structures

ZAJAC, Z.; LANG, R.; NĚMEC, I.

Originální název

Shape-adaptive Climate Loading of Tensile Surface Structures

Anglický název

Shape-adaptive Climate Loading of Tensile Surface Structures

Druh

Článek recenzovaný mimo WoS a Scopus

Originální abstrakt

This paper deals with climate loading of tensile surface structures. The approaches for the snow load calculation were summarized and a new usage for tensile surface structures based on established procedures has been proposed. The snow load distribution and accumulation was presented in the form of an algorithm implemented in a finite element software. The results of the algorithm for snow load accumulation were verified on simple examples with vertical, inclined and curved surfaces.

Anglický abstrakt

This paper deals with climate loading of tensile surface structures. The approaches for the snow load calculation were summarized and a new usage for tensile surface structures based on established procedures has been proposed. The snow load distribution and accumulation was presented in the form of an algorithm implemented in a finite element software. The results of the algorithm for snow load accumulation were verified on simple examples with vertical, inclined and curved surfaces.

Klíčová slova

Algorithm, Snow Load, Tensile Surface Structures

Klíčová slova v angličtině

Algorithm, Snow Load, Tensile Surface Structures

Autoři

ZAJAC, Z.; LANG, R.; NĚMEC, I.

Rok RIV

2025

Vydáno

01.04.2024

Nakladatel

AIMS, LLC

Místo

4048 E Glen Abbey Dr, Springfield, MO 65809, USA

ISSN

2837-1739

Periodikum

Advances in Computational Science and Engineering

Svazek

2

Číslo

1

Stát

Spojené státy americké

Strany od

10

Strany do

18

Strany počet

9

URL

BibTex

@article{BUT187137,
  author="Zbyněk {Zajac} and Rostislav {Lang} and Ivan {Němec}",
  title="Shape-adaptive Climate Loading of Tensile Surface Structures",
  journal="Advances in Computational Science and Engineering",
  year="2024",
  volume="2",
  number="1",
  pages="10--18",
  doi="10.3934/acse.2024002",
  issn="2837-1739",
  url="https://www.aimsciences.org/article/doi/10.3934/acse.2024002"
}