Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering

Safety Analysis of Landing-Type Lifting Pole with Double-Level Arms under Wind Load Function

Authors
J. Qin, H.S. Zhang, J. Su, J.M. Zhang, K.F. Huang, D. Ni
Corresponding Author
J. Qin
Available Online July 2015.
DOI
10.2991/aiie-15.2015.145How to use a DOI?
Keywords
double-level arms; lifting pole; structural analysis; safety
Abstract

According to design requirements for landing-type lifting pole with double-level arms, the working conditions of landing-type lifting pole with double-level arms are proposed under different wind pressures and wind directions, and the component stresses of several important standard sections of pole body are calculated under different load factors. For standard sections whose main chord members cannot meet strength and safety requirements, this thesis considered adding hawser cables, thus obtaining the stress results meeting design requirements. Relevant calculation methods can be taken as reference for lifting pole design.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
10.2991/aiie-15.2015.145
ISSN
1951-6851
DOI
10.2991/aiie-15.2015.145How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - J. Qin
AU  - H.S. Zhang
AU  - J. Su
AU  - J.M. Zhang
AU  - K.F. Huang
AU  - D. Ni
PY  - 2015/07
DA  - 2015/07
TI  - Safety Analysis of Landing-Type Lifting Pole with Double-Level Arms under Wind Load Function
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 543
EP  - 546
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.145
DO  - 10.2991/aiie-15.2015.145
ID  - Qin2015/07
ER  -