Structural Technology Evaluation Analysis Program (STEAP). Delivery Order 0025: Laser Peening for Reliable Fatigue Life

Abstract

Laser peening (LP) is an advanced mechanical surface enhancement technique used to increase the fatigue life of metallic components. To reduce costs and make the technique available on a large-scale basis for industrial applications, simulation of the LP process is required. One of the objectives of this research is to make advancements in the simulation of LP-induced residual stresses by validating various material models for use in simulation and design. An inverse optimization-based methodology is developed, which involves optimizing the model constants for one load case and using the same constants for other load cases. The second aspect of this research is to develop a framework for uncertainty quantification of the residual stress field induced by the LP process by propagation of regression uncertainty. Development methodology includes identification of regression uncertainty as a source of input uncertainty and using the bootstrap method to verify the multivariate normality assumption of the model constant estimates. The propagation of the input uncertainty is performed using Taylor series expansion and sensitivity analysis. A confidence band for the entire residual stress field is obtained and validated using the Monte Carlo analysis.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2010
Accession Number
ADA550435

Entities

People

  • Hemanth Amarchinta
  • Ramana V. Grandhi

Organizations

  • Wright State University

Tags

Communities of Interest

  • Air Platforms
  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Computational Science
  • Crystal Structure
  • Data Science
  • Databases
  • Information Science
  • Laser Peening
  • Lasers
  • Materials
  • Mechanical Working
  • Mechanics
  • Modulus Of Elasticity
  • Shot Peening
  • Statistical Algorithms
  • Stresses
  • Test And Evaluation

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Modeling and Simulation
  • Structural Health Monitoring of Composite Structures.

Technology Areas

  • Directed Energy