|
|
|
|
| LEADER |
03219nmm a2200325 u 4500 |
| 001 |
EB002183455 |
| 003 |
EBX01000000000000001320942 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
231103 ||| eng |
| 020 |
|
|
|a 9783031470363
|
| 100 |
1 |
|
|a De Cursi, José Eduardo Souza
|e [editor]
|
| 245 |
0 |
0 |
|a Proceedings of the 6th International Symposium on Uncertainty Quantification and Stochastic Modelling
|h Elektronische Ressource
|b Uncertainties 2023
|c edited by José Eduardo Souza De Cursi
|
| 250 |
|
|
|a 1st ed. 2024
|
| 260 |
|
|
|a Cham
|b Springer International Publishing
|c 2024, 2024
|
| 300 |
|
|
|a XI, 272 p. 139 illus., 116 illus. in color
|b online resource
|
| 505 |
0 |
|
|a 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
|
| 653 |
|
|
|a Risk Management
|
| 653 |
|
|
|a Stochastic models
|
| 653 |
|
|
|a Stochastic Modelling
|
| 653 |
|
|
|a Financial risk management
|
| 653 |
|
|
|a Mechanical engineering
|
| 653 |
|
|
|a Mechanical Engineering
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
| 490 |
0 |
|
|a ABCM Series on Mechanical Sciences and Engineering
|
| 028 |
5 |
0 |
|a 10.1007/978-3-031-47036-3
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-031-47036-3?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 621
|
| 520 |
|
|
|a 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
|