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210313s2021 nju o 000 0 eng d |
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|a EBLCP
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|d OCLCL
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|a 9781119817628
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|a 1119817625
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|a (OCoLC)1241449748
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|2 23/eng/20230203
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|a UAMI
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|a Gogu, Christian.
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|a Mechanical Engineering in Uncertainties from Classical Approaches to Some Recent Developments
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|a Newark :
|b John Wiley & Sons, Incorporated,
|c 2021.
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|a 1 online resource (346 pages)
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
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|2 rdacarrier
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|a Print version record.
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|a Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Foreword -- Preface -- Part 1: Modeling, Propagation and Quantification of Uncertainties -- Chapter 1: Uncertainty Modeling -- 1.1. Introduction -- 1.2. The usefulness of separating epistemic uncertainty from aleatory uncertainty -- 1.3. Probability theory -- 1.3.1. Theoretical context -- 1.3.2. Probabilistic approach for modeling aleatory uncertainties -- 1.3.3. Probabilistic approach for modeling epistemic uncertainties -- 1.4. Probability box theory (p-boxes) -- 1.5. Interval analysis -- 1.6. Fuzzy set theory
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|a 1.7. Possibility theory -- 1.7.1. Theoretical context -- 1.7.2. Comparison between probability theory and possibility theory -- 1.7.3. Rules for combining possibility distributions -- 1.8. Evidence theory -- 1.8.1. Theoretical context -- 1.8.2. Rules for combining belief mass functions -- 1.9. Evaluation of epistemic uncertainty modeling -- 1.10. References -- Chapter 2: Microstructure Modeling and Characterization -- 2.1. Introduction -- 2.2. Probabilistic characterization of microstructures -- 2.2.1. Random sets -- 2.2.2. Covariance -- 2.2.3. Granulometry -- 2.2.4. Minkowski functionals
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|a 2.2.5. Stereology -- 2.2.6. Linear erosion -- 2.2.7. Representative volume element -- 2.3. Point processes -- 2.3.1. Homogeneous Poisson point processes -- 2.3.2. Inhomogeneous Poisson point processes -- 2.4. Boolean models -- 2.4.1. Definition and Choquet capacity -- 2.4.2. Properties -- 2.4.3. Covariance -- 2.4.4. Other characteristics -- 2.4.4.1. Three-point function -- 2.4.4.2. Contact distribution -- 2.4.4.3. Specific surface area -- 2.4.4.4. Linear erosion curves for convex primary grains -- 2.5. RSA models -- 2.6. Random tessellations -- 2.6.1. Voronoi tessellation
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|a 2.6.2. Johnson-Mehl tessellation -- 2.6.3. Laguerre tessellation -- 2.6.4. Random Poisson tessellation -- 2.6.5. The dead-leaves model -- 2.6.6. Generalized random partition models -- 2.7. Gaussian fields -- 2.8. Conclusion -- 2.9. Acknowledgments -- 2.10. References -- Chapter 3: Uncertainty Propagation at the Scale of Aging Civil Engineering Structures -- 3.1. Introduction -- 3.2. Problem positioning -- 3.2.1. Probabilistic formulation -- 3.2.2. Thermo-hydro-mechanical-leakage transfer function -- 3.2.3. Resulting probabilistic THM-F problem
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|a 3.3. Random field-based modeling of material properties -- 3.3.1. Random fields -- 3.3.2. Generation methods for discretized random fields -- 3.3.2.1. Discrete approximations -- 3.3.2.2. Functional approximations -- 3.3.3. Random fields and autocorrelations -- 3.3.4. Application: contribution to modeling the cracking of reinforced concrete works by self-correlated r.f. -- 3.3.4.1. Context presentation -- 3.3.4.2. Effect of autocorrelated r.f. -- 3.4. Modeling uncertainty propagation using response surface methods -- 3.4.1. Probabilistic coupling strategies
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|a 3.4.1.1. Monte Carlo or quasi-Monte Carlo-based approaches.
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| 590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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| 758 |
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|i has work:
|a Mechanical Engineering in Uncertainties from Classical Approaches to Some Recent Developments (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCXMPyMQ6mc9VwdR79T78md
|4 https://id.oclc.org/worldcat/ontology/hasWork
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| 776 |
0 |
8 |
|i Print version:
|a Gogu, Christian.
|t Mechanical Engineering in Uncertainties from Classical Approaches to Some Recent Developments.
|d Newark : John Wiley & Sons, Incorporated, ©2021
|z 9781789450101
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| 856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=6510115
|z Texto completo
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|b EBLB
|n EBL6510115
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