Uncertainty on the strength durability preditions of GRCs

Petra Van Itterbeeck; Heidi Cuypers; Jeanette Orlowsky; Jan Wastiels

Uncertainty on the strength durability preditions of GRCs

Petra Van Itterbeeck, Heidi Cuypers, Jeanette Orlowsky, Jan Wastiels

Mechanics of Materials and Constructions

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

Abstract

The durability of glass fibre reinforced concrete remains a widely study topic. Within literature several models for strength durability predictions have been made available. However when one wants to perform strength predictions it is not clear which model is the best approximating model for the data set at hand. Therefore in this paper an objective and effective method for the selection of the best approximating model based on a sound statistical background is presented and illustrated. This method is based on Akaike's Information Criterion and not only takes into consideration the vertical distances between the modeled and the experimental values but also the number of parameters which need to be determined and number of data points in the data series.

Original language	English
Title of host publication	ECCM 13: 13th European Conference on Composite Materials, june 2-5, Stockholm, Sweden
Number of pages	10
Publication status	Published - 2 Jun 2008
Event	Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet - Stockholm, Sweden Duration: 21 Sep 2009 → 25 Sep 2009

Conference

Conference	Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet
Country/Territory	Sweden
City	Stockholm
Period	21/09/09 → 25/09/09

Keywords

uncertainty
GRC
durability
strenght prediction

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http://www.eccm13.sicomp.se

Cite this

@inproceedings{ebcb59f1562543acabd5fd82dbc757d6,

title = "Uncertainty on the strength durability preditions of GRCs",

abstract = "The durability of glass fibre reinforced concrete remains a widely study topic. Within literature several models for strength durability predictions have been made available. However when one wants to perform strength predictions it is not clear which model is the best approximating model for the data set at hand. Therefore in this paper an objective and effective method for the selection of the best approximating model based on a sound statistical background is presented and illustrated. This method is based on Akaike's Information Criterion and not only takes into consideration the vertical distances between the modeled and the experimental values but also the number of parameters which need to be determined and number of data points in the data series.",

keywords = "uncertainty, GRC, durability, strenght prediction",

author = "{Van Itterbeeck}, Petra and Heidi Cuypers and Jeanette Orlowsky and Jan Wastiels",

year = "2008",

month = jun,

day = "2",

language = "English",

booktitle = "ECCM 13: 13th European Conference on Composite Materials, june 2-5, Stockholm, Sweden",

note = "Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet ; Conference date: 21-09-2009 Through 25-09-2009",

}

TY - GEN

T1 - Uncertainty on the strength durability preditions of GRCs

AU - Van Itterbeeck, Petra

AU - Cuypers, Heidi

AU - Orlowsky, Jeanette

AU - Wastiels, Jan

PY - 2008/6/2

Y1 - 2008/6/2

N2 - The durability of glass fibre reinforced concrete remains a widely study topic. Within literature several models for strength durability predictions have been made available. However when one wants to perform strength predictions it is not clear which model is the best approximating model for the data set at hand. Therefore in this paper an objective and effective method for the selection of the best approximating model based on a sound statistical background is presented and illustrated. This method is based on Akaike's Information Criterion and not only takes into consideration the vertical distances between the modeled and the experimental values but also the number of parameters which need to be determined and number of data points in the data series.

AB - The durability of glass fibre reinforced concrete remains a widely study topic. Within literature several models for strength durability predictions have been made available. However when one wants to perform strength predictions it is not clear which model is the best approximating model for the data set at hand. Therefore in this paper an objective and effective method for the selection of the best approximating model based on a sound statistical background is presented and illustrated. This method is based on Akaike's Information Criterion and not only takes into consideration the vertical distances between the modeled and the experimental values but also the number of parameters which need to be determined and number of data points in the data series.

KW - uncertainty

KW - GRC

KW - durability

KW - strenght prediction

M3 - Conference paper

BT - ECCM 13: 13th European Conference on Composite Materials, june 2-5, Stockholm, Sweden

T2 - Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet

Y2 - 21 September 2009 through 25 September 2009

ER -

Uncertainty on the strength durability preditions of GRCs

Abstract

Conference

Keywords

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Cite this