A Demonstration of the Method of Stochastic Finite Element Analysis

Abstract

Finite element analysis has been used as a design to ol for many years, with structural reliability being ensured through use of a liberal factor of safety. Unfortunately, the safety factor is a blanket insurance against all hazards, and a designer has no way to optimize a structure against any particular hazard. This is particularly troublesome in the fields of aero/astro design, where every bit of mass must serve to maximum utility. The method of Stochastic Finite Element Analysis allows a designer to model any loading or hazard condition as closely to reality as desired by using an appropriate probability distribution function. Through a Monte Carlo simulation, the finite element model is subject to the probability functions. The cumulative output is analyzed for trends in failure probability and the design is altered to enhance its reliability, repeating the process until the desired level of reliability is achieved. The resulting design is optimal for the imposed conditions, and compared to a structure designed with a traditional factor of safety approach, is either lighter or more reliable. This demonstration revealed that for similar reliabilities, a stochastically designed wing was 20% lighter than a wing strengthened by the factor of safety. The major drawback in applying the method of stochastic finite element analysis is that very large, complex models can require extraordinary amounts of computer resources. Keywords: These, ASTROS computer program, ASTROS(automated structural optimization system).

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1989
Accession Number
ADA206135

Entities

People

  • Paul R. Bryant

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Computers
  • Distribution Functions
  • Engineers
  • Failure Mode And Effect Analysis
  • Finite Element Analysis
  • Mechanics
  • Monte Carlo Method
  • Plastic Explosives
  • Probability
  • Probability Distribution Functions
  • Probability Distributions
  • Random Variables
  • Reliability
  • Safety Factor
  • Simulations
  • Three Dimensional

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aviation Safety Risk Assessment.
  • Systems Analysis and Design