By Mauricio Sánchez-Silva, Georgia-Ann Klutke
This publication compiles and severely discusses glossy engineering process degradation versions and their impression on engineering judgements. particularly, the authors specialise in modeling the doubtful nature of decay contemplating either conceptual discussions and formal mathematical formulations. It additionally describes the fundamentals ideas and many of the modeling features of life-cycle research (LCA). It highlights the function of decay in LCA and defines optimal layout and operation parameters. Given the connection among operational judgements and the functionality of the system’s over the years, upkeep versions also are mentioned.
The suggestions and versions offered have purposes in a wide number of engineering fields akin to Civil, Environmental, business, electric and Mechanical engineering. despite the fact that, particular emphasis is given to difficulties relating to huge infrastructure platforms. The publication is meant for use either as a reference source for researchers and practitioners and as a tutorial textual content for classes concerning hazard and reliability, infrastructure functionality modeling and life-cycle assessment.
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Example text
This chapter presents an introduction to the basic concepts and the theory of reliability in engineering, which provides the foundation for constructing degradation models (see Chaps. 4–7), performing life-cycle cost analyses (see Chaps. 8 and 9), and to designing maintenance strategies (Chap. 10). In the first part of this chapter, we present some conceptual issues about reliability and a description of basic reliability approaches. The second part of the chapter, Sect. 7 and onward, presents an overview of reliability models and sets the basis for theory that will be used and discussed in the rest of the book.
1 Consider a system subjected to a demand, which is assumed to be log-normally distributed. Three demand cases are considered. The density of all three possible demand functions (with the same mean but different COV) and the distribution of the resistance are shown in Fig. 2. 2. Compute the reliability of the system. The reliability of the system can be computed using Eq. 5) where is the normal standard distribution and COV Xi = σ X i /μ X i . 89. 1 0 0 5 10 15 20 25 30 Capacity/Demand Fig. 2 Density function of the capacity and distribution function of the demand show that larger variability implies larger failure probabilities and, therefore, smaller reliability values.
It requires a clear understanding of the physical laws that define the system behavior and the associated uncertainties. The degradation of an engineering artifact describes the process by which one or a set of properties lose value with time. ). , resistance, remaining life) at time t, there is degradation if, Vt+1 (p) ≤ Vt (p), where p, as mentioned before, is a vector parameter of the system variables that defines its performance. Chapters 4–7 describe existing modeling tools to manage degradation problems.