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Fatigue Life Evaluation of Steel under Different Conditions

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Materials Simulation and Design".

Deadline for manuscript submissions: closed (20 August 2022) | Viewed by 1699

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Guest Editor
Department of Engineering “Enzo Ferrari”, University of Modena and Reggio Emilia, via Vivarelli 10, 41125 Modena, Italy
Interests: electro-discharge machining; post-process and finishing technologies; electrochemical machining; laser and microwave powder bed fusion; plasma and laser machining
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Special Issue Information

Dear Colleagues,

For load conditions relatively far from safe values, fatigue is the most important parameter to be considered in the behavior of mechanical and structural components subjected to constant or variable amplitude loading. Fatigue life is influenced by mechanical, metallurgical, and environmental variables.The purpose of this Special Issue is to evaluate the most recent technological developments regarding knowledge of fatigue life evaluation of steel. The forecast of steel performances is fundamental for the safety, maintenance management, and replacement planning of components of most industrial products and production plants. Furthermore, reliable knowledge of the performance of a product allows designing and carrying out treatments during the production phase that can increase the fatigue lifetime.

The problem of fatigue life prediction concerns both parts under development and already existing parts that have undergone, for example, aging and variations in load conditions.
To carry out a health assessment of old plants or mechanical components, it is necessary to obtain information about the current stress response of structural members. The real loading unloading conditions must be known; however, the typical loading history is often not available. To solve these problems, the most direct way is to take the stress measurement from field tests to increase the reliability of evaluation results.

Among the current fatigue analysis methodologies, the traditional stress–life (S–N) approach has been widely used for fatigue-related design and evaluation the steel structures. When the stress–life approach stipulated in specifications is adopted for steel structure fatigue damage and life evaluation, it is requisite to know the stress spectra of critical locations and the S–N curves of the details.

From a microscopic point of view, fatigue is the process of progressive, localized, and non-recoverable microstructural developments that can lead to final failure of specimens or structures. A typical feature of the microstructural changes during a fatigue process is that a part of the repeated elastic–plastic deformation is dissipated irreversibly as heat. Therefore, the measurement of thermal parameters (the effect of strain gradient on nonlinear kinematic hardening and hysteresis behavior must be considered), local microplasticity, and microstructure evolution may be used to model or predict fatigue properties such as fatigue strength and fatigue life. Microplastic distortions help to estimate the evolution of the material resistance.

In structural engineering applications, nucleation and propagation of fatigue cracks are some of the most important considerations in the mechanical properties of metals. In high-strength steels, surface and subsurface defects play an important role in the reduction of the fatigue limit; therefore, the treatment that induces a compressive state on the surface can increase the fatigue life of the structures.

High flash temperature due to impulsive contacts can cause surface defects, such as cracks, spalling, fatigue, and wear. These defects are correlated with thermomechanical stress and material softening. Since it is difficult to directly measure impulsive contact temperature, analytical and numerical modeling methods must be used as an effective way to solve thermal or thermomechanical contact problems. Therefore, for impulsive contact, the model must be used for both fatigue live evaluation and stress evaluation. The reliability of the models is in this case particularly relevant for the solidity of the final forecast.

This Special Issue focuses on models for fatigue life prediction and evaluation methods for the life evaluation of existing units.

Prof. Andrea Gatto
Guest Editor

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Keywords

  • loading and fatigue
  • stress measurement
  • fatigue strength
  • fatigue life prediction

Published Papers (1 paper)

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Research

22 pages, 2247 KiB  
Article
A Simplified Approach for the Corrosion Fatigue Assessment of Steel Structures in Aggressive Environments
by Aldo Milone and Raffaele Landolfo
Materials 2022, 15(6), 2210; https://0-doi-org.brum.beds.ac.uk/10.3390/ma15062210 - 17 Mar 2022
Cited by 12 | Viewed by 1291
Abstract
Fatigue performance is often a key aspect when dealing with existing steel structures such as steel bridges or offshore constructions. This issue proves to be more critical as these structures are usually located in aggressive environments and are thus exposed to progressive degradation. [...] Read more.
Fatigue performance is often a key aspect when dealing with existing steel structures such as steel bridges or offshore constructions. This issue proves to be more critical as these structures are usually located in aggressive environments and are thus exposed to progressive degradation. Indeed, disruptive phenomena such as corrosion can severely worsen the fatigue performance of the steel components. Currently, the normative standards do not provide a codified procedure for the fatigue checks of steel structures subjected to ongoing corrosion. Within this framework, in this paper a simplified approach for the life-cycle assessment of corroded steel structures is proposed. For this purpose, the concept of “critical corrosion degree” is introduced, allowing the expression of corrosion fatigue checks in a more direct “demand vs. capacity” form with respect to the currently available methods. A first validation of such methodology is reported for the corrosion fatigue tests drawn from the literature. The predicted levels of critical corrosion are in good agreement with the values of artificially induced corrosion (i.e., 4, 8, and 12% of mass loss, respectively), with a maximum relative error of ≈9.3% for the most corroded specimen. Finally, parametrical analyses are performed, highlighting the influence of the model parameters on the corrosion fatigue performance of the steel elements. Full article
(This article belongs to the Special Issue Fatigue Life Evaluation of Steel under Different Conditions)
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