Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


Thesis- Final.pdf (1.22 MB)

ETD Abstract Container

Abstract Header

Reliability Assessment Using Bootstrapping and Identification of Point of Diminishing Returns

Ugwumba, Miracle C
http://rave.ohiolink.edu/etdc/view?acc_num=toledo1452080021

Abstract Details

2016, Master of Science, University of Toledo, Mechanical Engineering.
The safety of dynamic systems under random vibrations is usually quantified by using probabilistic methods. This is because of the inherent randomness associated with some parameters of a system. Simulation methods such as Monte Carlo Simulation (MCS), Separable Monte Carlo (SMC), and Importance Sampling (IS) are used to estimate the probability of failure of dynamic systems under random vibration. These methods are flawed or normally pose difficulties that prompt analyst to seek out other methods of simulation. In this research, bootstrapping was used to estimate the probability of failure and accuracy of dynamic systems under time-variant random vibration. MCS was used to compare the results obtained by bootstrapping. Increasing the degrees of freedom of a system results in an enormous increase in the total number of time histories of excitation created. This research focused on investigating the effect of increasing the degrees of freedom on the accuracy of the probability of failure of the systems under investigation. It was concluded that the points of diminishing returns of the standard deviation of the probability of failure is independent on the DOF of the systems under consideration.
Nikolaidis Efstratios, Dr. (Committee Chair)
Berhan Lesley, Dr. (Committee Member)
Pourazady Mehdi, Dr. (Committee Member)
Elahinia Mohammad , Dr. (Committee Member)
Engineering
Monte Carlo Simulation, Separable Monte Carlo Simulation, Bootstrapping

Recommended Citations

Citations

  • Ugwumba, M. C. (2016). Reliability Assessment Using Bootstrapping and Identification of Point of Diminishing Returns [Master's thesis, University of Toledo]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1452080021

    APA Style (7th edition)

  • Ugwumba, Miracle. Reliability Assessment Using Bootstrapping and Identification of Point of Diminishing Returns . 2016. University of Toledo, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=toledo1452080021.

    MLA Style (8th edition)

  • Ugwumba, Miracle. "Reliability Assessment Using Bootstrapping and Identification of Point of Diminishing Returns ." Master's thesis, University of Toledo, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1452080021

    Chicago Manual of Style (17th edition)

toledo1452080021
575
© 2015, all rights reserved.
This open access ETD is published by University of Toledo and OhioLINK.