Publicado

2020-11-05 — Actualizado el 2020-11-05

Stress-Strength Weibull Analysis with Different Shape Parameter β and Probabilistic Safety Factor

Análisis estrés-resistencia Weibull con diferente parámetro de forma β y su factor de seguridad probabilístico

DOI:

https://doi.org/10.15446/dyna.v87n215.84909

Palabras clave:

probabilistic safety factor; Weibull distribution; stress-strength analysis; common Weibull shape parameter; variable stress-strength; β estimation directly (en)
factor de seguridad probabilístico; distribución Weibull; análisis estrés-resistencia; parámetro de forma común Weibull; estrés-resistencia variables; estimación directa de β (es)

Autores/as

Since products are subjected to a random variable stress-strength, their reliability must be determined using the stress-strength analysis. Unfortunately, when both, stress and strength, follow a Weibull distribution with different shape parameters, the reliability stress-strength has not a close solution. Therefore, in this paper, the formulation to perform the analysis stress-strength Weibull with different shape parameters is derived. Furthermore, the formulation to determine the safety factor that corresponds to the designed reliability is also given. And because the relationship between the derived safety factor and the designed reliability is unique, then because reliability is random, the derived safety factor is random.

Cuando los productos son sometidos a estrés variables, su confiabilidad debe ser estimada a partir de la resistencia que éstos tienen ante el estrés al que son sometidos, para lo que usamos el análisis estrés-resistencia. Desafortunadamente, cuando ambos, el estrés y la resistencia siguen un comportamiento Weibull con diferentes parámetros de forma, no existe una solución cerrada en la estimación de la confiabilidad. Por lo tanto, en este artículo, se presenta la formulación para poder realizar el análisis estrés-resistencia Weibull con diferente parámetro de forma. Además, la formulación para determinar el factor de seguridad probabilístico correspondiente al producto es dado. Y como la relación entre el factor de seguridad y la confiabilidad son únicas, entonces, la confiabilidad es aleatoria y el factor de seguridad también.

Referencias

Domma, F., Eftekharian, A. and Razmkhah, M., Stress-strength based on m-generalized order statistics and concomitant for dependent families. Appl. Math., 64, pp. 437-467, 2019. DOI: 10.21136/AM.2019.0285-18

Piña-Monarrez, M.R., Weibull stress distribution for static mechanical stress and its stress/strength analysis. Qual. Reliab. Eng. Int., 34, pp. 229-244, 2017. DOI: 10.1002/qre.2251

Zakerzadeh, H. and Jafari, A.A., Comparing the shape parameters of two weibull distributions using records: a generalized inference. J. Stat. Res. Iran, 10(2), pp. 197-208, 2014. DOI: 10.18869/acadpub.jsri.10.2.197

Murty, A.S.R. and Naikan, V.N.A., Reliability strength design through inverse distributions - Exponential and Weibull cases. Reliab. Eng. Syst. Saf., 54(1), pp. 77-82, 1996. DOI: 10.1108/IJQRM-02-2014-0016

Gupta, R.D. and Kundu, D., Generalized exponential distribution: existing results and some recent developments. J. Stat. Plan. Inference, 137(11), pp. 3537-3547, 2007. DOI: 10.1016/j.jspi.2007.03.030

Chiodo, E. and Mazzanti, G., Bayesian reliability estimation based on a weibull stress-strength model for aged power system components subjected to voltage surges. IEEE Trans. Dielectr. Electr. Insul., 13(1), pp. 146-159, 2006. DOI: 10.1109/TDEI.2006.1593413

Ali, S.S. and Kannan, S., A diagnostic approach to Weibull-Weibull stress-strength model and its generalization. Int. J. Qual. Reliab., 28(4), pp. 451-463, 2011. DOI: 10.1108/02656711111121834.

Asgharzadeh, A., Valiollahi, R. and Raqab, M.Z., Stress-strength reliability of Weibull distribution based on progressively censored samples. Sort., 35(2), pp. 103-124, 2011.

Kizilaslan, F. and Nadar, M., Classical and Bayesian estimation of reliability in multicomponent stress-strength model based on Weibull distribution. Rev. Colomb. Estadística, 38(2), pp. 467-484, 2015. DOI: 10.15446/rce.v38n2.51674

Shodhganga. Weibull-Weibull Stress-Strength Model, Chapter 5. [online]. 2015, pp. 66-75, Available at: http://shodhganga.inflibnet.ac.in/bitstream/10603/51746/12/12_chapter 5.pdf.

Delahay, T. and Palin-Luc, T., Estimation of the fatigue strength distribution in high-cycle multiaxial fatigue taking into account the stress - strain gradient effect. Int. J. Fatigue, 28, pp. 474-484, 2016. DOI: 10.1016/j.ijfatigue.2005.06.048

Bai, X., Shi, Y., Liu, Y. and Liu, B., Reliability estimation of multicomponent stress-strength model based on Copula function under progressively hybrid censoring, J. Comput. Appl. Math., 344, pp. 100-114, 2018. DOI: 10.1016/j.cam.2018.04.066

Piña-Monarrez, M.R., Weibull analysis for constant and variant stress behavior using the alt method for single stress and the Taguchi method for several stress variables. Biostatistics and Biometrics Journal. 6(2), pp 32-37, 2018. DOI: 10.19080/BBOAJ.2018.06.555681

Weibull, W., A statistical theory of the strength of materials. Vetenskaps Akad. Handl. 151, 1939, pp. 1-45.

Mischke, C.R., A distribution-independent plotting rule for ordered failures. J. Mech. Des., 104(3), pp. 593-597, 1982. DOI: 10.1115/1.3256391

Nadar, M. and Kizilaslan, F., Estimation of reliability in multicomponent stress-strength based on a Marshall-Olkin bivariate Weibull distribution. IEEE Trans. Reliab., 65(1), pp. 261-267, 2016. DOI: 10.1109/TR.2015.2433258.

Ebeling, C.E., An introduction to reliability and maintainability engineering. 2nd ed., Boston, 2010. ISBN-13: 978-1577666257

Huang, K., Mi, J. and Wang, Z., Inference about reliability parameter with gamma strength and stress. J. Stat. Plan. Inference, 142(4), pp. 848-854, 2012. DOI: 10.1016/j.jspi.2011.10.005

Seal, B. and Nayak, S., Reliability for solid-shaft under the Weibull set up and stress strength model. Mathematics in Engineering, Science and Aerospace, 6(2), pp. 319-326, 2015.

ReliaSoft Corporation. Stress-Strength Analysis, 2014. [Online]. Available at: http://reliawiki.org/index.php/Stress-Strength_Analysis.

Cómo citar

IEEE

[1]
M. Baro, M. R. Piña Monarrez, y B. Villa, «Stress-Strength Weibull Analysis with Different Shape Parameter β and Probabilistic Safety Factor», DYNA, vol. 87, n.º 215, pp. 28–33, nov. 2020.

ACM

[1]
Baro, M., Piña Monarrez, M.R. y Villa, B. 2020. Stress-Strength Weibull Analysis with Different Shape Parameter β and Probabilistic Safety Factor. DYNA. 87, 215 (nov. 2020), 28–33. DOI:https://doi.org/10.15446/dyna.v87n215.84909.

ACS

(1)
Baro, M.; Piña Monarrez, M. R.; Villa, B. Stress-Strength Weibull Analysis with Different Shape Parameter β and Probabilistic Safety Factor. DYNA 2020, 87, 28-33.

APA

Baro, M., Piña Monarrez, M. R. & Villa, B. (2020). Stress-Strength Weibull Analysis with Different Shape Parameter β and Probabilistic Safety Factor. DYNA, 87(215), 28–33. https://doi.org/10.15446/dyna.v87n215.84909

ABNT

BARO, M.; PIÑA MONARREZ, M. R.; VILLA, B. Stress-Strength Weibull Analysis with Different Shape Parameter β and Probabilistic Safety Factor. DYNA, [S. l.], v. 87, n. 215, p. 28–33, 2020. DOI: 10.15446/dyna.v87n215.84909. Disponível em: https://revistas.unal.edu.co/index.php/dyna/article/view/84909. Acesso em: 16 mar. 2026.

Chicago

Baro, Manuel, Manuel Roman Piña Monarrez, y Baldomero Villa. 2020. «Stress-Strength Weibull Analysis with Different Shape Parameter β and Probabilistic Safety Factor». DYNA 87 (215):28-33. https://doi.org/10.15446/dyna.v87n215.84909.

Harvard

Baro, M., Piña Monarrez, M. R. y Villa, B. (2020) «Stress-Strength Weibull Analysis with Different Shape Parameter β and Probabilistic Safety Factor», DYNA, 87(215), pp. 28–33. doi: 10.15446/dyna.v87n215.84909.

MLA

Baro, M., M. R. Piña Monarrez, y B. Villa. «Stress-Strength Weibull Analysis with Different Shape Parameter β and Probabilistic Safety Factor». DYNA, vol. 87, n.º 215, noviembre de 2020, pp. 28-33, doi:10.15446/dyna.v87n215.84909.

Turabian

Baro, Manuel, Manuel Roman Piña Monarrez, y Baldomero Villa. «Stress-Strength Weibull Analysis with Different Shape Parameter β and Probabilistic Safety Factor». DYNA 87, no. 215 (noviembre 5, 2020): 28–33. Accedido marzo 16, 2026. https://revistas.unal.edu.co/index.php/dyna/article/view/84909.

Vancouver

1.
Baro M, Piña Monarrez MR, Villa B. Stress-Strength Weibull Analysis with Different Shape Parameter β and Probabilistic Safety Factor. DYNA [Internet]. 5 de noviembre de 2020 [citado 16 de marzo de 2026];87(215):28-33. Disponible en: https://revistas.unal.edu.co/index.php/dyna/article/view/84909

Descargar cita

CrossRef Cited-by

CrossRef citations7

1. Manuel Baro, Manuel R. Piña-Monarrez. (2024). Probabilistic Weibull reliability of a shaft design subjected to bending and torsion stress. DYNA, 91(232), p.58. https://doi.org/10.15446/dyna.v91n232.111361.

2. Ahmad Abubakar Suleiman, Hanita Daud, Narinderjit Singh Sawaran Singh, Mahmod Othman, Aliyu Ismail Ishaq, Rajalingam Sokkalingam. (2023). A Novel Odd Beta Prime-Logistic Distribution: Desirable Mathematical Properties and Applications to Engineering and Environmental Data. Sustainability, 15(13), p.10239. https://doi.org/10.3390/su151310239.

3. Manuel R. Piña‐Monarrez, Manuel Baro‐Tijerina, Jesús F. Ortiz‐Yañez. (2023). Weibull stress method to determine the minimum required strength to improve the actual reliability. Quality and Reliability Engineering International, 39(6), p.2230. https://doi.org/10.1002/qre.3329.

4. Dipak D. Patil, U. V. Naik-Nimbalkar, M. M. Kale. (2023). Estimation of $$ P[Y Annals of Data Science, https://doi.org/10.1007/s40745-023-00487-z.

5. Alejandro Molina, Manuel R. Piña-Monarrez, Jesús M. Barraza-Contreras, Servio T. de la Cruz-Cháidez. (2021). Probabilistic Linear Time-Dependent Stress Beam Analysis and Its Stress-Strength Reliability. Applied Sciences, 11(8), p.3459. https://doi.org/10.3390/app11083459.

6. Bin Liu, Meiling Huo, Jing Xu, Xueying Cui, Xiufeng Xie. (2022). Mean Remaining Strength Estimation of Multi-State System Based on Nonparametric Bayesian Method. Symmetry, 14(3), p.555. https://doi.org/10.3390/sym14030555.

7. Fei Lin, Ronald Ordinola-Zapata, Alex S.L. Fok, Roy Lee. (2022). Influence of minimally invasive endodontic access cavities and bonding status of resin composites on the mechanical property of endodontically-treated teeth: A finite element study. Dental Materials, 38(2), p.242. https://doi.org/10.1016/j.dental.2021.12.007.

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