| Pubbl/distr/stampa |
London, England : , : ISTE Ltd and John Wiley & Sons, Inc., , [2023]
|
| Descrizione fisica |
1 online resource (248 pages)
|
| Disciplina |
620.00452
|
| Soggetto topico |
Reliability (Engineering)
|
| ISBN |
1-394-20867-7
1-394-20862-6
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| Formato |
Materiale a stampa  |
| Livello bibliografico |
Monografia |
| Lingua di pubblicazione |
eng
|
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- Foreword -- Preface -- Chapter 1. FIDES, a Method for Assessing and Building the Reliability of Electronic Systems -- 1.1. The inadequacy of existing methods -- 1.1.1. MIL-HDBK-217F -- 1.1.2. UTE-C-80810 (or RDF2000, or IEC 62380 TR Ed.1) -- 1.1.3. PRISM® or 217plus -- 1.2. The ambition of FIDES -- 1.3. General presentation of the FIDES method -- 1.3.1. Failure rate -- 1.3.2. The structure of FIDES models -- 1.3.3. Physical models -- 1.3.4. The exploitation of manufacturer data -- 1.3.5. Exploiting databases of failure mechanisms (not failure rates) -- 1.3.6. Life profile -- 1.3.7. Other contributors -- 1.3.8. Sensitivity of FIDES models -- 1.3.9. Industrial applications -- 1.4. Validity of reliability studies with FIDES -- 1.5. Conclusion -- 1.6. References -- Chapter 2. Reliability in Maritime Transport: Choosing a Container Handling System -- 2.1. Introduction -- 2.2. Proposed case study -- 2.3. Inputs of the RAMS approach -- 2.3.1. Presentation of the system -- 2.3.2. Component reliability data -- 2.3.3. Reliability of carabiners over time -- 2.4. Assessment of the system's RAMS -- 2.4.1. Reliability assessment -- 2.4.2. Assessment of the intrinsic availability -- 2.4.3. Maintainability assessment -- 2.4.4. Safety assessment -- 2.5. Conclusion -- 2.5.1. FMECA or fault trees, how to choose? -- 2.5.2. Pitfalls to avoid -- 2.5.3. Note on low reliability targets in innovative systems -- 2.6. General conclusion -- 2.7. References -- Chapter 3. Generation of a Failure Model through Probabilistic "Stress-Strength" Interaction in a Context of Poor Information -- 3.1. Introduction -- 3.2. Aims and objectives -- 3.3. Choosing types of legislation -- 3.3.1. Principle of maximum entropy -- 3.3.2. The strength distribution -- 3.3.3. The law of constraint -- 3.3.4. Relationship between the two laws.
3.4. Probability of failure -- 3.4.1. Formulation -- 3.4.2. Analytical solution -- 3.4.3. Parametric expression -- 3.5. Safety factor -- 3.5.1. Simplified expressions -- 3.5.2. Validity limits -- 3.6. Validation and applications -- 3.6.1. Comparative analyses -- 3.6.2. Applications -- 3.7. Conclusion and extensions -- 3.8. References -- Chapter 4. Reliable Optimization of Dental Implants Using the Generalized Polynomial Chaos Method -- 4.1. Introduction -- 4.2. Stochastic approach -- 4.2.1. The MC method -- 4.2.2. The GPC method -- 4.3. Deterministic design optimization -- 4.4. Reliability-based design optimization -- 4.4.1. The classic method -- 4.4.2. OSF using GPC -- 4.5. Numerical result -- 4.5.1. 2D dental implant -- 4.6. Conclusion -- 4.7. References -- Chapter 5. Multi-objective Reliability Optimization Based on Substitution Models. Applied Case Study of a Hip Prosthesis -- 5.1. Introduction -- 5.2. Description of metamodeling methods -- 5.2.1. Application of a substitution model -- 5.2.2. Construction of a metamodel -- 5.2.3. Validation of metamodels -- 5.3. Optimization of multi-objective design -- 5.3.1. Deterministic MOO -- 5.3.2. Reliability-based multi-objective design optimization -- 5.4. RBMDO based on hip prosthesis surrogate models -- 5.4.1. Deterministic simulation using the finite element method -- 5.4.2. Construction of substitution models -- 5.4.3. Optimization of multi-objective design based on reliability -- 5.5. Conclusion -- 5.6. References -- Chapter 6. CMA-ES Assisted by the Kriging Metamodel for the Optimization of Thermomechanical Performances of Mechatronic Packaging -- 6.1. Introduction -- 6.2. Presentation of the system under study -- 6.2.1. The case of wire bonding -- 6.2.2. The case of solder joints -- 6.3. Thermal fatigue models of solder joints -- 6.3.1. The Coffin-Manson model -- 6.3.2. The Morrow model.
6.3.3. The Coffin-Manson frequency-modified model -- 6.3.4. The Morrow frequency-modified model -- 6.3.5. The Darveaux model -- 6.4. Modeling and finite element analysis of the PQFP housing -- 6.4.1. Modeling -- 6.4.2. Material properties -- 6.4.3. Thermal load -- 6.4.4. Fatigue model selected for solder joints -- 6.4.5. Numerical results -- 6.5. Evolutionary strategies -- 6.5.1. Presentation of evolutionary strategies -- 6.5.2. Principles of ESs -- 6.5.3. Covariance matrix adaptation evolution strategy -- 6.5.4. Metamodeling techniques -- 6.5.5. Kriging-assisted CMA-ES -- 6.6. Global optimization of the PQFP housing solder joints -- 6.6.1. Formulation of the problem -- 6.6.2. Numerical simulations -- 6.7. Conclusion -- 6.8. References -- Chapter 7. Reliable Optimization of Vibro-acoustic Problems in the Presence of Uncertainties via Polynomial Chaos -- 7.1. Introduction -- 7.2. Robust approaches to uncertainty propagation -- 7.2.1. The Monte Carlo method -- 7.2.2. Generalized polynomial chaos -- 7.3. Structural optimization -- 7.3.1. Formulation of the optimization problem -- 7.3.2. Deterministic design optimization -- 7.3.3. Reliability design optimization -- 7.4. OSF method coupled with GPC applied to vibro-acoustic systems in the presence of uncertainties -- 7.4.1. Deterministic model -- 7.4.2. Probabilistic analysis -- 7.4.3. OSF method coupled with GPC -- 7.5. Conclusion -- 7.6. References -- List of Authors -- Index -- Summaries of other volumes -- EULA.
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| Record Nr. | UNINA-9910830605003321 |
Info
Aerospace and automotive applications : issues, testing and analysis / / edited by Abdelkhalak El Hami, David Delaux, Henri Grzeskowiak