Time-Dependent Reliability Analysis for Function Generator Mechanisms
By Junfu Zhang, Xiaoping Du. 2011
112 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Computational Theory and Mathematics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/62522f4b800f3da83eba300b1b5329edc9bfadc5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Zhen Hu
- Sankaran Mahadevan
- Zhonglai Wang
- Amandeep Singh
- Jing Li
- Zissimos Mourelatos
- Xiaoping Du
- Igor Baseski
In Computational Theory and Mathematics
In Statistics and Probability
- Zhen Hu
- Sankaran Mahadevan
- Xiaoping Du
- Zhonglai Wang
- Zissimos Mourelatos
- Amandeep Singh
- Jing Li
- Igor Baseski
Citations in the corpus
- A Sampling Approach to Extreme Value Distribution for Time-Dependent Reliability Analysis (2013, methodology): “This upcrossing rate is further derived by Zhang and Du [13] later for kinematic reliability analysis of function generator mechanisms.”
- Time-Dependent System Reliability Analysis Using Random Field Discretization (2015, background): “Figure 4 shows a function generator mechanism [29].”
- A Single-Loop Kriging Surrogate Modeling for Time-Dependent Reliability Analysis (2016, methodology): “The time-dependent probability of failure is given by [15]”
- First order reliability method for time-variant problems using series expansions (2015, methodology): “Later, Zhang and Du derived equations for upcrossing rates of function generator mechanisms based on the Frist Order Second Moment method (Zhang and Du 2011).”
- Time-Dependent Reliability of Dynamic Systems Using Subset Simulation With Splitting Over a Series of Correlated Time Intervals (2013, result): “The out-crossing rate approach was first introduced by Rice [8] followed by extensive studies [6, 9-13] under the assumption of the out-crossings being statistically independent and Poisson distributed.”