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Proceedings of the 6th International Symposium on Uncertainty Quantification and Stochastic Modelling
Details
This proceedings book ****covers a wide range of topics related to uncertainty analysis and its application in various fields of engineering and science. It explores uncertainties in numerical simulations for soil liquefaction potential, the toughness properties of construction materials, experimental tests on cyclic liquefaction potential, and the estimation of geotechnical engineering properties for aerogenerator foundation design. Additionally, the book delves into uncertainties in concrete compressive strength, bio-inspired shape optimization using isogeometric analysis, stochastic damping in rotordynamics, and the hygro-thermal properties of raw earth building materials. It also addresses dynamic analysis with uncertainties in structural parameters, reliability-based design optimization of steel frames, and calibration methods for models with dependent parameters. The book further explores mechanical property characterization in 3D printing, stochastic analysis in computational simulations, probability distribution in branching processes, data assimilation in ocean circulation modeling, uncertainty quantification in climate prediction, and applications of uncertainty quantification in decision problems and disaster management. This comprehensive collection provides insights into the challenges and solutions related to uncertainty in various scientific and engineering contexts.
Presents methods for using statistical data Demonstrates design procedures for risk evaluation and reliability analysis Focuses on uncertainty quantification and stochastic modeling
Klappentext
This proceedings book covers a wide range of topics related to uncertainty analysis and its application in various fields of engineering and science. It explores uncertainties in numerical simulations for soil liquefaction potential, the toughness properties of construction materials, experimental tests on cyclic liquefaction potential, and the estimation of geotechnical engineering properties for aerogenerator foundation design. Additionally, the book delves into uncertainties in concrete compressive strength, bio-inspired shape optimization using isogeometric analysis, stochastic damping in rotordynamics, and the hygro-thermal properties of raw earth building materials. It also addresses dynamic analysis with uncertainties in structural parameters, reliability-based design optimization of steel frames, and calibration methods for models with dependent parameters. The book further explores mechanical property characterization in 3D printing, stochastic analysis in computational simulations, probability distribution in branching processes, data assimilation in ocean circulation modeling, uncertainty quantification in climate prediction, and applications of uncertainty quantification in decision problems and disaster management. This comprehensive collection provides insights into the challenges and solutions related to uncertainty in various scientific and engineering contexts.
Inhalt
Uncertainties of numerical simulation for static liquefaction potential of saturated soils.- Uncertainties about the Toughness Property of raw earth construction materials.- Uncertainties of Experimental Tests on Cyclic Liquefaction Potential of Unsaturated Soils.- Analysis of the Impact of Uncertainties on the Estimation of Geotechnical Engineering Properties of Soil from SPT on the Design of Aerogenerators Foundation.- Uncertainties on the unconfined compressive strength of raw and textured concrete.- Bio-inspired shape optimization for structural robust design using isogeometric analysis.<p
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783031470387
- Lesemotiv Verstehen
- Genre Mechanical Engineering
- Editor José Eduardo Souza de Cursi
- Sprache Englisch
- Anzahl Seiten 284
- Herausgeber Springer
- Größe H235mm x B155mm x T16mm
- Jahr 2024
- EAN 9783031470387
- Format Kartonierter Einband
- ISBN 3031470389
- Veröffentlichung 23.10.2024
- Titel Proceedings of the 6th International Symposium on Uncertainty Quantification and Stochastic Modelling
- Untertitel Uncertainties 2023
- Gewicht 435g