The Materials section of Materials and Reliability introduces students to the fundamental methods used to analyse static and fatigue failure in ductile and brittle metals, with the aim of informing the selection of suitable materials for engineering design. The section explores stress, strain, and their interdependencies when determining principal stresses and principal strains; key static failure theories; Marin correction factors for fatigue analysis; the assessment of alternating and non-zero mean stress states using key fatigue failure theories; and the extension of fatigue failure theories to multiaxial loading, varying phase and frequency loading, and cumulative damage.
The Reliability section of Materials and Reliability introduces students to the statistical tools used to analyse the condition of components and systems over their lifecycle. A substantial statistical foundation is established in this section, from which system reliability and maintainability may be carefully and accurately assessed. This section provides comprehensive coverage of data handling, the treatment of measurement uncertainties, and probability concepts and distributions, enabling reliability prediction and modelling, as well as the sustainable operation of systems within uncertain environments.
The unit integrates several practical activities that enable students to apply their developing knowledge of materials and reliability engineering. Practical work includes the use of strain gauges to assess static failure in components, the interpretation of loading histories for fatigue analysis, and uncertainty analysis to quantify instrumentation accuracy. Emphasis is placed on component and system performance and on extending service life, thereby promoting sustainability and climate-responsible engineering practice.
Overall, this unit prepares students for Solid Mechanics by equipping them with essential tools for evaluating component and system performance under static and fatigue loading. The unit also introduces the probabilistic perspectives needed for reliable engineering design and covers the uncertainty analysis tools necessary to determine levels of accuracy in testing undertaken in subsequent units.