Prestressed concrete roof girders: Part II – Surrogate modeling and sensitivity analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F18%3APU130097" target="_blank" >RIV/00216305:26110/18:PU130097 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Prestressed concrete roof girders: Part II – Surrogate modeling and sensitivity analysis
Original language description
The paper describes a particular part of complex stochastic modeling and design of a precast prestressed concrete girder failing in shear, namely surrogate modeling and sensitivity analysis. Both methods were efficiently used in order to reduce high computational effort related to utilization of a 3D nonlinear FEM model. Two types of surrogate models have been developed: (1) artificial neural network model and (2) polynomial chaos expansion model. In case of sensitivity analysis, three methods were utilized and compared: (i) Spearman non-parametric rank-order statistical correlation sensitivity, (ii) sensitivity analysis in terms of coefficient of variation, and (iii) sensitivity analysis in terms of Sobol sensitivity indices. The obtained information was used to set up a stochastic model and surrogate models in an optimum manner and was employed in the subsequent determination of selected uncertain design parameters followed by load-bearing capacity and reliability assessment using semi-probabilistic as well as fully probabilistic approaches.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20102 - Construction engineering, Municipal and structural engineering
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Life Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision: Proceedings of the Sixth International Symposium on Life-Cycle Civil Engineering (IALCCE 2018)
ISBN
9781138626331
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
495-502
Publisher name
CRC press, Taylor and Francis group
Place of publication
London
Event location
Ghent
Event date
Oct 28, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000471120403026