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Prediction of Strength for Inhomogeneous : Defective Glass Elements Based on the Sequential Partitioning of the Data and Weibull Statistical Distribution. / Shabetia, Alexander; Rodichev, Yurii; Veer, Fred; Soroka, Elena.

Proceedings of the Challenging Glass Conference 6 (CGC 6): International Conference on the Architectural and Structural Application of Glass. ed. / Christian Louter; Freek Bos; Jan Belis; Fred Veer; Rob Nijsse. Delft University of Technology, 2018. p. 749-758.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Shabetia, A, Rodichev, Y, Veer, F & Soroka, E 2018, Prediction of Strength for Inhomogeneous: Defective Glass Elements Based on the Sequential Partitioning of the Data and Weibull Statistical Distribution. in C Louter, F Bos, J Belis, F Veer & R Nijsse (eds), Proceedings of the Challenging Glass Conference 6 (CGC 6): International Conference on the Architectural and Structural Application of Glass. Delft University of Technology, pp. 749-758, Challenging Glass 6, Delft, Netherlands, 17/05/18. https://doi.org/10.7480/cgc.6.2195

APA

Shabetia, A., Rodichev, Y., Veer, F., & Soroka, E. (2018). Prediction of Strength for Inhomogeneous: Defective Glass Elements Based on the Sequential Partitioning of the Data and Weibull Statistical Distribution. In C. Louter, F. Bos, J. Belis, F. Veer, & R. Nijsse (Eds.), Proceedings of the Challenging Glass Conference 6 (CGC 6): International Conference on the Architectural and Structural Application of Glass (pp. 749-758). Delft University of Technology. https://doi.org/10.7480/cgc.6.2195

Vancouver

Shabetia A, Rodichev Y, Veer F, Soroka E. Prediction of Strength for Inhomogeneous: Defective Glass Elements Based on the Sequential Partitioning of the Data and Weibull Statistical Distribution. In Louter C, Bos F, Belis J, Veer F, Nijsse R, editors, Proceedings of the Challenging Glass Conference 6 (CGC 6): International Conference on the Architectural and Structural Application of Glass. Delft University of Technology. 2018. p. 749-758 https://doi.org/10.7480/cgc.6.2195

Author

Shabetia, Alexander ; Rodichev, Yurii ; Veer, Fred ; Soroka, Elena. / Prediction of Strength for Inhomogeneous : Defective Glass Elements Based on the Sequential Partitioning of the Data and Weibull Statistical Distribution. Proceedings of the Challenging Glass Conference 6 (CGC 6): International Conference on the Architectural and Structural Application of Glass. editor / Christian Louter ; Freek Bos ; Jan Belis ; Fred Veer ; Rob Nijsse. Delft University of Technology, 2018. pp. 749-758

BibTeX

@inproceedings{bae937ebf6d3434cbb9db55d3257fc10,
title = "Prediction of Strength for Inhomogeneous: Defective Glass Elements Based on the Sequential Partitioning of the Data and Weibull Statistical Distribution",
abstract = "An analytical approach based on the on the sequential partitioning of the data and Weibull Statistical Distribution for inhomogeneous - defective materials is proposed. It allows assessing the guaranteed strength of glass structures for the low probability of fracture with a higher degree of reliability. Parameters of equations for the piecewise linear approximation for Weibull statistical distribution have been defined on the example of processing of bending tests results for float glass. The advisability of using this approach to structural elements of different size is proved. It was shown that excluding the minimum values from the sample does not lead to the uni-modal distribution. A group of values, forming the lower branch of the distribution, appears again. Statistical analysis of the distribution curves made it possible to identify groups of defects, the technological removal of which would ensure an increase in the guaranteed level of strength. The results are the basis for solving optimization problems when you need to get a guaranteed level of strength for a given probability of fracture with minimal costs for glass element manufacture and treatment.",
keywords = "glass, Weibull Distribution, Bending, Guaranteed Strength, Inhomogeneous - defective materials",
author = "Alexander Shabetia and Yurii Rodichev and Fred Veer and Elena Soroka",
year = "2018",
month = "5",
doi = "10.7480/cgc.6.2195",
language = "English",
pages = "749--758",
editor = "Christian Louter and Freek Bos and Jan Belis and Fred Veer and Rob Nijsse",
booktitle = "Proceedings of the Challenging Glass Conference 6 (CGC 6)",
publisher = "Delft University of Technology",
address = "Netherlands",

}

RIS

TY - GEN

T1 - Prediction of Strength for Inhomogeneous

T2 - Defective Glass Elements Based on the Sequential Partitioning of the Data and Weibull Statistical Distribution

AU - Shabetia, Alexander

AU - Rodichev, Yurii

AU - Veer, Fred

AU - Soroka, Elena

PY - 2018/5

Y1 - 2018/5

N2 - An analytical approach based on the on the sequential partitioning of the data and Weibull Statistical Distribution for inhomogeneous - defective materials is proposed. It allows assessing the guaranteed strength of glass structures for the low probability of fracture with a higher degree of reliability. Parameters of equations for the piecewise linear approximation for Weibull statistical distribution have been defined on the example of processing of bending tests results for float glass. The advisability of using this approach to structural elements of different size is proved. It was shown that excluding the minimum values from the sample does not lead to the uni-modal distribution. A group of values, forming the lower branch of the distribution, appears again. Statistical analysis of the distribution curves made it possible to identify groups of defects, the technological removal of which would ensure an increase in the guaranteed level of strength. The results are the basis for solving optimization problems when you need to get a guaranteed level of strength for a given probability of fracture with minimal costs for glass element manufacture and treatment.

AB - An analytical approach based on the on the sequential partitioning of the data and Weibull Statistical Distribution for inhomogeneous - defective materials is proposed. It allows assessing the guaranteed strength of glass structures for the low probability of fracture with a higher degree of reliability. Parameters of equations for the piecewise linear approximation for Weibull statistical distribution have been defined on the example of processing of bending tests results for float glass. The advisability of using this approach to structural elements of different size is proved. It was shown that excluding the minimum values from the sample does not lead to the uni-modal distribution. A group of values, forming the lower branch of the distribution, appears again. Statistical analysis of the distribution curves made it possible to identify groups of defects, the technological removal of which would ensure an increase in the guaranteed level of strength. The results are the basis for solving optimization problems when you need to get a guaranteed level of strength for a given probability of fracture with minimal costs for glass element manufacture and treatment.

KW - glass

KW - Weibull Distribution

KW - Bending

KW - Guaranteed Strength

KW - Inhomogeneous - defective materials

U2 - 10.7480/cgc.6.2195

DO - 10.7480/cgc.6.2195

M3 - Conference contribution

SP - 749

EP - 758

BT - Proceedings of the Challenging Glass Conference 6 (CGC 6)

A2 - Louter, Christian

A2 - Bos, Freek

A2 - Belis, Jan

A2 - Veer, Fred

A2 - Nijsse, Rob

PB - Delft University of Technology

ER -

ID: 51463980