On models of long-term behavior of concrete
Chleboun, Jan; Dohnalová, Lenka; Runcziková, Judita
- Programs and Algorithms of Numerical Mathematics, Publisher: Institute of Mathematics CAS(Prague), page 21-29
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topChleboun, Jan, Dohnalová, Lenka, and Runcziková, Judita. "On models of long-term behavior of concrete." Programs and Algorithms of Numerical Mathematics. Prague: Institute of Mathematics CAS, 2021. 21-29. <http://eudml.org/doc/296919>.
@inProceedings{Chleboun2021,
abstract = {Long-term behavior of concrete is modeled by several widely accepted models, such as B3, fib MC 2010, or ACI 209 whose input parameters and output values are not identical to each other. Moreover, the input and, consequently, the output values are uncertain. In this paper, fuzzy input parameters are considered in uncertainty quantification of each model response and, finally, the sets of responses are analyzed by elementary tools of evidence theory. That is, belief and plausibility functions are proposed to combine evidence from different models.},
author = {Chleboun, Jan, Dohnalová, Lenka, Runcziková, Judita},
booktitle = {Programs and Algorithms of Numerical Mathematics},
keywords = {fuzzy sets; evidence theory; drying shrinkage; drying creep},
location = {Prague},
pages = {21-29},
publisher = {Institute of Mathematics CAS},
title = {On models of long-term behavior of concrete},
url = {http://eudml.org/doc/296919},
year = {2021},
}
TY - CLSWK
AU - Chleboun, Jan
AU - Dohnalová, Lenka
AU - Runcziková, Judita
TI - On models of long-term behavior of concrete
T2 - Programs and Algorithms of Numerical Mathematics
PY - 2021
CY - Prague
PB - Institute of Mathematics CAS
SP - 21
EP - 29
AB - Long-term behavior of concrete is modeled by several widely accepted models, such as B3, fib MC 2010, or ACI 209 whose input parameters and output values are not identical to each other. Moreover, the input and, consequently, the output values are uncertain. In this paper, fuzzy input parameters are considered in uncertainty quantification of each model response and, finally, the sets of responses are analyzed by elementary tools of evidence theory. That is, belief and plausibility functions are proposed to combine evidence from different models.
KW - fuzzy sets; evidence theory; drying shrinkage; drying creep
UR - http://eudml.org/doc/296919
ER -
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