Proceedings of the 2016 International Conference on Civil, Transportation and Environment

Combination Method of Stochastic Load Processes

Authors
Xiao-Hong Wang
Corresponding Author
Xiao-Hong Wang
Available Online January 2016.
DOI
10.2991/iccte-16.2016.103How to use a DOI?
Keywords
load combination; limit state design; cumulative distribution function.
Abstract

When more than one loads act on a structure the combination of stochastic loads is generally considered in the design of the structure Based on the theoretical derivation and numerical calculation analysis to the process of two common loads in Poisson square wave and Poisson impulse this paper presents the combination method of loads i.e. The maximum intensity function of load combination is expressed by the cumulative distribution function in the limit state design. In addition the result calculated during the limit state design is compared with those calculated by Turkstra and Monte Carlo methods and the analytical results show that the method proposed in this paper is feasible in the calculation of load combination.

Copyright
© 2016, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2016 International Conference on Civil, Transportation and Environment
Series
Advances in Engineering Research
Publication Date
January 2016
ISBN
10.2991/iccte-16.2016.103
ISSN
2352-5401
DOI
10.2991/iccte-16.2016.103How to use a DOI?
Copyright
© 2016, 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  - Xiao-Hong Wang
PY  - 2016/01
DA  - 2016/01
TI  - Combination Method of Stochastic Load Processes
BT  - Proceedings of the 2016 International Conference on Civil, Transportation and Environment
PB  - Atlantis Press
SP  - 620
EP  - 623
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccte-16.2016.103
DO  - 10.2991/iccte-16.2016.103
ID  - Wang2016/01
ER  -