2014
DOI: 10.2478/tvsb-2014-0013
|View full text |Cite
|
Sign up to set email alerts
|

Probabilistic Reliability Assessment of Truss Construction in Matlab Software Platform

Abstract: This paper deals with the use of probabilistic methods in assessing the reliability of the planar truss support structure. Classical Monte Carlo simulation technique was chosen for calculation of failure probability in structural elements and the entire support system under assessment. Numerical calculation was applied in MATLAB software system using the random number generator and parallelization using multi-core processors. The aim of the study was to analyze the usability of MATLAB for probability calculati… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2015
2015
2015
2015

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 15 publications
0
1
0
Order By: Relevance
“…Numerical modeling not only concerns the computations of structure strength and deformations but it can be also helpful in determine the structure reliability. Numerical probabilistic reliability assessment of truss construction using MATLAB and Monte Carlo simulation technique was presented in [8]. Direct optimized probabilistic calculation which is a pure numerical approach without any simulation technique required was discussed in [9].…”
Section: Introductionmentioning
confidence: 99%
“…Numerical modeling not only concerns the computations of structure strength and deformations but it can be also helpful in determine the structure reliability. Numerical probabilistic reliability assessment of truss construction using MATLAB and Monte Carlo simulation technique was presented in [8]. Direct optimized probabilistic calculation which is a pure numerical approach without any simulation technique required was discussed in [9].…”
Section: Introductionmentioning
confidence: 99%