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portada Proceedings of the 6th International Symposium on Uncertainty Quantification and Stochastic Modelling. Uncertainties 2023
Formato
Libro Físico
Colección
Lecture Notes in Mechanical Engineering
Año
2024
N° páginas
272
Encuadernación
Tapa Blanda
Dimensiones
23.5x15.5 cm
ISBN13
9783031470387

Proceedings of the 6th International Symposium on Uncertainty Quantification and Stochastic Modelling. Uncertainties 2023

Jose Eduardo Souza De Cursi (Autor) · Springer International Publishing AG · Tapa Blanda

Proceedings of the 6th International Symposium on Uncertainty Quantification and Stochastic Modelling. Uncertainties 2023 - Jose Eduardo Souza De Cursi

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Reseña del libro "Proceedings of the 6th International Symposium on Uncertainty Quantification and Stochastic Modelling. Uncertainties 2023"

This proceedings book covers a wide range of topics related to uncertainty analysis and its application in various fields of engineering and science.

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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