z-logo
open-access-imgOpen Access
An Energy-Based Limit State Function for Estimation of Structural Reliability in Shock Environments
Author(s) -
Michael Guthrie
Publication year - 2013
Publication title -
shock and vibration
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 45
eISSN - 1875-9203
pISSN - 1070-9622
DOI - 10.1155/2013/145374
Subject(s) - reliability (semiconductor) , limit state design , limit (mathematics) , monte carlo method , computation , function (biology) , modal , finite element method , computer science , reliability engineering , mathematics , engineering , structural engineering , algorithm , statistics , physics , mathematical analysis , power (physics) , chemistry , quantum mechanics , evolutionary biology , biology , polymer chemistry
limit state function is developed for the estimation of structural reliability in shock environments. This limit state function uses peak modal strain energies to characterize environmental severity and modal strain energies at failure to characterize the structural capacity. The Hasofer-Lind reliability index is briefly reviewed and its computation for the energy-based limit state function is discussed. Applications to two degree of freedom mass-spring systems and to a simple finite element model are considered. For these examples, computation of the reliability index requires little effort beyond a modal analysis, but still accounts for relevant uncertainties in both the structure and environment. For both examples, the reliability index is observed to agree well with the results of Monte Carlo analysis. In situations where fast, qualitative comparison of several candidate designs is required, the reliability index based on the proposed limit state function provides an attractive metric which can be used to compare and control reliability.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom