Abstract

A new framework for high cycle fatigue analysis of metallic structures under complex multi-parameter loadings was here developed. This allows to reduce the analysis on a 2-D window with a characterized one-parameter cyclic loading thanks to an equivalence rule relative to damage between any two loadings. The simplified inelastic analysis introduced by J. Zarka [J. Zarka et al. 1990. A new approach in inelastic analysis of structures. CADLM] was used to find the limit state of the structure. A new design rules for fatigue analysis by utilizing automatic learning systems was successfully performed. A database was built by coupling numerical simulations and experimental results on several welded specimens which are considered as a general structure in the proposed approach. This could be possible by the introduction of an intelligent description of a general fatigue case based on the actual theories and models. A software, FATPRO [M.I. Systems, FatPro, available at http://www.mzintsys.com/our_products_fatpro.html], based on this work has been developed at MZ Intelligent Systems.

Highlights

  • Many mechanical and structural components are subjected to complex loadings in service

  • Optim. 2016, 7, A5 specimen and any general structure with any loading conditions; simplified analysis of inelastic structures [1] and simple rules for damage and accumulation are taken BUT the results are COUPLED WITH RESULTS FROM RETURNS ON REAL STRUCTURES. All these procedures and framework were introduced in a software, FatPro [2], that is developed and distributed by MZ Intelligent Systems

  • We cannot rely to the numerical results for the classical LOCAL dimensioning criteria, we proposed to perform only the cheapest elastic analysis or our simplified analysis of inelastic structures [1] and to use only the simplest rules for damage criteria and cumulation of damage for materials but we shall couple them with the results from returns on real structures

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Summary

Introduction

Many mechanical and structural components are subjected to complex loadings in service. The principal idea is to find an equivalent simple loading suitable to represent the real random loading in terms of damage produced at the level of the material at the level of the structure. 2016, 7, A5 specimen and any general structure with any loading conditions; simplified analysis of inelastic structures [1] and simple rules for damage and accumulation are taken BUT the results are COUPLED WITH RESULTS FROM RETURNS ON REAL STRUCTURES. All these procedures and framework were introduced in a software, FatPro [2], that is developed and distributed by MZ Intelligent Systems

Automatic learning expert systems
General principle of the approach
Fundamental data on materials
Intelligent representation of any loading
Multi-parameter random stress path
Available experimental data
Elastic analysis with NISA from EMRC CRANES
Elastoplastic analysis
Classical fatigue analysis
Definition of the intelligent descriptors
Material descriptors
Stress field descriptors
Fatigue descriptors
Compilation of data and automatic learning
Conclusions
Full Text
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