Publication result detail

From fracture experiments to advanced design and assessment of precast structural members

NOVÁK, D.; LEHKÝ, D.; SLOWIK, O.; ŘOUTIL, L.

Original Title

From fracture experiments to advanced design and assessment of precast structural members

English Title

From fracture experiments to advanced design and assessment of precast structural members

Type

Paper in proceedings (conference paper)

Original Abstract

An objective reliability analysis of structural members made of advanced cementitious composites must be based on good knowledge of stochastic properties of individual mechanical fracture parameters of utilized material models. The article presents a comprehensive approach to the design and assessment of precast structural elements including: The series of fracture tests of the two concrete mixtures with various ages in two configurations (three point bending and wedge splitting test, subsequent identification of material parameters using effective crack model, work of fracture method and artificial neural networks, execution of destructive tests of scaled structural members and creation of deterministic models of these tests using collected data. In subsequent phases of the project reliability analysis of tested beams will be carried out in order to obtain stochastic parameters of structural response of prestressed elements to shear load. The obtained data will be used to calibrate the analytical equation describing the response of element exposed to both normal and shear forces. The entire process will be concluded by reliability-based optimization of manufactured components.

English abstract

An objective reliability analysis of structural members made of advanced cementitious composites must be based on good knowledge of stochastic properties of individual mechanical fracture parameters of utilized material models. The article presents a comprehensive approach to the design and assessment of precast structural elements including: The series of fracture tests of the two concrete mixtures with various ages in two configurations (three point bending and wedge splitting test, subsequent identification of material parameters using effective crack model, work of fracture method and artificial neural networks, execution of destructive tests of scaled structural members and creation of deterministic models of these tests using collected data. In subsequent phases of the project reliability analysis of tested beams will be carried out in order to obtain stochastic parameters of structural response of prestressed elements to shear load. The obtained data will be used to calibrate the analytical equation describing the response of element exposed to both normal and shear forces. The entire process will be concluded by reliability-based optimization of manufactured components.

Keywords

Fracture test, parameter identification, inverse analysis, reliability analysis, artificial neural networks, nonlinear modelling, stochastic modelling.

Key words in English

Fracture test, parameter identification, inverse analysis, reliability analysis, artificial neural networks, nonlinear modelling, stochastic modelling.

Authors

NOVÁK, D.; LEHKÝ, D.; SLOWIK, O.; ŘOUTIL, L.

RIV year

2016

Released

15.10.2015

Publisher

Jendželovský, N. & Grmanová, A.

Location

Bratislava, Slovenská republika

ISBN

978-80-227-4463-8

Book

Proceedings of the 13th International Conference on New Trends in Statics and Dynamics of Building

Pages from

1

Pages to

8

Pages count

8

BibTex

@inproceedings{BUT117992,
  author="Drahomír {Novák} and David {Lehký} and Ondřej {Slowik} and Ladislav {Řoutil}",
  title="From fracture experiments to advanced design and assessment of precast structural members",
  booktitle="Proceedings of the 13th International Conference on New Trends in Statics and Dynamics of Building",
  year="2015",
  pages="1--8",
  publisher="Jendželovský, N. & Grmanová, A.",
  address="Bratislava, Slovenská republika",
  isbn="978-80-227-4463-8"
}