000			03301nam a2200337 i 4500
999			_c401718 _d401718
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003			ES-MaUEC
005			20240521162933.0
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007			cr nn 008mamaa
008			231021s2024 sz | fo |1|| 0|eng d
020			_a9783031470363
024	7		_a10.1007/978-3-031-47036-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA169.7 _b2024 EB
245	0	0	_aProceedings of the 6th International Symposium on Uncertainty Quantification and Stochastic Modelling : _bUncertainties 2023 _cedited by José Eduardo Souza De Cursi
250			_a1st ed. 2024
264		1	_aCham _bSpringer International Publishing _c2024
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aABCM Series on Mechanical Sciences and Engineering _x2662-303X
505	0		_aUncertainties 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.
520			_aThis 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.
988			_aSpringer_Engineering_2024
650		7	_2embne _9666757 _aSistemas de seguridad
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-47036-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2024 _dz _eb _zSI