Time-Dependent Reliability Analysis Using the Total Probability Theorem

By Zissimos Mourelatos, Monica Majcher, Vijitashwa Pandey, Igor Baseski. Design Automation Conference, 2014

72 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Environmental Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/d3e5c82c97e7e3c0757c766893d266c7328bab74

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Zhen Hu
2. Sankaran Mahadevan
3. Xiaoping Du
4. J. Hurtado
5. Diego A. Alvarez
6. Zhonglai Wang
7. N. Xiao
8. Hongzhong Huang

In Environmental Engineering

1. Zhen Hu
2. Sankaran Mahadevan
3. Xiaoping Du

In Statistics and Probability

1. Zhen Hu
2. Sankaran Mahadevan
3. Xiaoping Du
4. Chao Jiang
5. J. Hurtado
6. Diego A. Alvarez
7. Xu Han
8. Zhen Luo

Citations in the corpus

• Reliability-based design optimization under stationary stochastic process loads (2016, methodology): “Developing accurate time-dependent reliability methods is still an ongoing research topic (Mourelatos et al. 2015, Wang et al. 2015, Jiang et al. 2014).”
• A Single-Loop Kriging Surrogate Modeling for Time-Dependent Reliability Analysis (2016, methodology): “For instance, a PHI2 method has been developed to compute the time-variant reliability by estimating the upcrossing rate at each time instant [6]; Singh and Mourelatos [7] proposed a composite limit-state function method and investigated importance sampling [8], Markov Chain Monte Carlo simulation (”