Proceedings Of The 6th International Symposium On Uncertainty Quantification And Stochastic Modelling

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Proceedings of the 6th International Symposium on Uncertainty Quantification and Stochastic Modelling

Proceedings of the 6th International Symposium on Uncertainty Quantification and Stochastic Modelling
Author :
Publisher : Springer Nature
Total Pages : 282
Release :
ISBN-10 : 9783031470363
ISBN-13 : 3031470362
Rating : 4/5 (362 Downloads)

Book Synopsis Proceedings of the 6th International Symposium on Uncertainty Quantification and Stochastic Modelling by : José Eduardo Souza De Cursi

Download or read book Proceedings of the 6th International Symposium on Uncertainty Quantification and Stochastic Modelling written by José Eduardo Souza De Cursi and published by Springer Nature. This book was released on 2023-10-21 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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