University of Hertfordshire

Analysis method of crack propagation data by genetic algorithms

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Analysis method of crack propagation data by genetic algorithms. / Grasso, Marzio; Penta, Francesco; Pinto, Paolo; Pucillo, Giovanni Pio.

Advances in Fracture and Damage Mechanics IX. TRANS TECH PUBLICATIONS LTD, 2010. p. 869-872 (Key Engineering Materials; Vol. 452-453).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Grasso, M, Penta, F, Pinto, P & Pucillo, GP 2010, Analysis method of crack propagation data by genetic algorithms. in Advances in Fracture and Damage Mechanics IX. Key Engineering Materials, vol. 452-453, TRANS TECH PUBLICATIONS LTD, pp. 869-872, 9th International Conference on Fracture and Damage Mechanics, FDM 2010, Nagasaki, Japan, 20/09/09. https://doi.org/10.4028/www.scientific.net/KEM.452-453.869

APA

Grasso, M., Penta, F., Pinto, P., & Pucillo, G. P. (2010). Analysis method of crack propagation data by genetic algorithms. In Advances in Fracture and Damage Mechanics IX (pp. 869-872). (Key Engineering Materials; Vol. 452-453). TRANS TECH PUBLICATIONS LTD. https://doi.org/10.4028/www.scientific.net/KEM.452-453.869

Vancouver

Grasso M, Penta F, Pinto P, Pucillo GP. Analysis method of crack propagation data by genetic algorithms. In Advances in Fracture and Damage Mechanics IX. TRANS TECH PUBLICATIONS LTD. 2010. p. 869-872. (Key Engineering Materials). https://doi.org/10.4028/www.scientific.net/KEM.452-453.869

Author

Grasso, Marzio ; Penta, Francesco ; Pinto, Paolo ; Pucillo, Giovanni Pio. / Analysis method of crack propagation data by genetic algorithms. Advances in Fracture and Damage Mechanics IX. TRANS TECH PUBLICATIONS LTD, 2010. pp. 869-872 (Key Engineering Materials).

Bibtex

@inproceedings{78fb587618064219acf70581b4e4d2b4,
title = "Analysis method of crack propagation data by genetic algorithms",
abstract = "A practice for analyzing some raw data from fatigue crack growth tests, carried out on specimens obtained from a railway component (wheel), is presented. Despite the data sample is small, it allows to identify the material parameters of the {"}threshold{"} propagation model that make this latter amazingly realistic for the examined material. The proposed analysis method is based on the Evolutionary Algorithms theory and uses raw data obtained from C(T) specimens instrumented with crack gauges.",
keywords = "Crack propagation, Evolutionary algorithms, Fatigue",
author = "Marzio Grasso and Francesco Penta and Paolo Pinto and Pucillo, {Giovanni Pio}",
year = "2010",
month = nov,
doi = "10.4028/www.scientific.net/KEM.452-453.869",
language = "English",
isbn = "9780878492411",
series = "Key Engineering Materials",
publisher = "TRANS TECH PUBLICATIONS LTD",
pages = "869--872",
booktitle = "Advances in Fracture and Damage Mechanics IX",
note = "9th International Conference on Fracture and Damage Mechanics, FDM 2010 ; Conference date: 20-09-2009 Through 22-09-2009",

}

RIS

TY - GEN

T1 - Analysis method of crack propagation data by genetic algorithms

AU - Grasso, Marzio

AU - Penta, Francesco

AU - Pinto, Paolo

AU - Pucillo, Giovanni Pio

PY - 2010/11

Y1 - 2010/11

N2 - A practice for analyzing some raw data from fatigue crack growth tests, carried out on specimens obtained from a railway component (wheel), is presented. Despite the data sample is small, it allows to identify the material parameters of the "threshold" propagation model that make this latter amazingly realistic for the examined material. The proposed analysis method is based on the Evolutionary Algorithms theory and uses raw data obtained from C(T) specimens instrumented with crack gauges.

AB - A practice for analyzing some raw data from fatigue crack growth tests, carried out on specimens obtained from a railway component (wheel), is presented. Despite the data sample is small, it allows to identify the material parameters of the "threshold" propagation model that make this latter amazingly realistic for the examined material. The proposed analysis method is based on the Evolutionary Algorithms theory and uses raw data obtained from C(T) specimens instrumented with crack gauges.

KW - Crack propagation

KW - Evolutionary algorithms

KW - Fatigue

U2 - 10.4028/www.scientific.net/KEM.452-453.869

DO - 10.4028/www.scientific.net/KEM.452-453.869

M3 - Conference contribution

AN - SCOPUS:78650720543

SN - 9780878492411

T3 - Key Engineering Materials

SP - 869

EP - 872

BT - Advances in Fracture and Damage Mechanics IX

PB - TRANS TECH PUBLICATIONS LTD

T2 - 9th International Conference on Fracture and Damage Mechanics, FDM 2010

Y2 - 20 September 2009 through 22 September 2009

ER -