Proceedings of the 6th International Symposium on Uncertainty Quantification and Stochastic Modelling Uncertainties 2023
by
 
De Cursi, José Eduardo Souza. editor. (orcid)0000-0001-9184-2489

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

Author
De Cursi, José Eduardo Souza. editor. (orcid)0000-0001-9184-2489

ISBN
9783031470363

Edition
1st ed. 2024.

Physical Description
XI, 272 p. 139 illus., 116 illus. in color. online resource.

Series
ABCM Series on Mechanical Sciences and Engineering,

Abstract
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.

Subject Term
Mechanical engineering.
 
Stochastic models.
 
Financial risk management.
 
Stochastic Modelling.
 
Risk Management.

Added Author
De Cursi, José Eduardo Souza.

Added Corporate Author
SpringerLink (Online service)

Electronic Access
https://doi.org/10.1007/978-3-031-47036-3


LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book601874-1001ONLINESpringer E-Kitap Koleksiyonu