Abstract

The threat of thermal fatigue is an increasing concern for thermal power plant operators due to the increasing tendency to adopt “two-shifting” operating procedures. Thermal plants are likely to remain part of the energy portfolio for the foreseeable future and are under societal pressures to generate in a highly flexible and efficient manner. The Green’s function method offers a flexible approach to determine reference elastic solutions for transient thermal stress problems. In order to simplify integration, it is often assumed that Green’s functions (derived from finite element unit temperature step solutions) are temperature independent (this is not the case due to the temperature dependency of material parameters). The present work offers a simple method to approximate a material’s temperature dependency using multiple reference unit solutions and an interpolation procedure. Thermal stress histories are predicted and compared for realistic temperature cycles using distinct techniques. The proposed interpolation method generally performs as well as (if not better) than the optimum single Green’s function or the previously-suggested weighting function technique (particularly for large temperature increments). Coefficients of determination are typically above , and peak stress differences between true and predicted datasets are always less than 10 MPa.

Highlights

  • IntroductionThe aim is that with a greater understanding of how a component reacts due to a particular loading pattern, remnant life can be quantified

  • There is a clear need in many industries to be able to predict the long-term behaviour of components operating in demanding environments in order to prevent/understand material failure.The aim is that with a greater understanding of how a component reacts due to a particular loading pattern, remnant life can be quantified

  • As steam pressures and temperatures vary with time, potentially large thermal stresses will develop in thick-walled components, such as steam headers

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Summary

Introduction

The aim is that with a greater understanding of how a component reacts due to a particular loading pattern, remnant life can be quantified With this confidence, plant efficiency and longevity could be maximised safely. Unit loads are expected to fluctuate with higher frequencies and steeper “ramp up and down” rates as drivers attempt to match market demands Such so-called “two-shifting” or “partial-load” operating conditions have been in use for many years [1]; concern over their implementation is mounting as the amount of time a plant has to come on line reduces [2]. There is an internal generation of heat due to mechanical deformation that will affect the temperature field within a body in addition to any thermal boundary conditions. Note that dots are used to denote derivatives with respect to time

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