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003			ES-MaUEC
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007			cr nn 008mamaa
008			210610s2021 si | o |||| 0|eng d
020			_a9789811609459
024	7		_a10.1007/978-981-16-0945-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA656.6 _b2021 EB
245	0	0	_aStructural Health Monitoring and Engineering Structures : _bSelect Proceedings of SHM&ES 2020 _cedited by Tinh Quoc Bui, Le Thanh Cuong, Samir Khatir
250			_aFirst edition 2021
264		1	_aSingapore _bSpringer International Publishing _c2021
264		4	_c2021
300			_a1 recurso en línea (XXIV, 587 páginas) _b365 ilustraciones, 314 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aLecture Notes in Civil Engineering _x2366-2565 _v148
490	0		_aEngineering (SpringerNature-11647)
490	0		_aEngineering (R0) (SpringerNature-43712)
505	0		_aWeight Optimization of a Truss Structure using Rao Algorithms and their Variants -- Model updating of frame structure using Equilibrium Optimizer (EO) and Cuckoo Search (CS) algorithms -- Multilayer Perceptron Neural Network for Damage Identification Based on Dynamic Analysis -- Optimization of processing parameters of primary phase particle size of cooling slope process for semi-solid casting of ADC 12 Al alloy -- Application of Artificial Neural Network for Recovering GPS - RTK Data in The Monitoring of Cable-Stayed Bridge Deformation -- Estimation of Cable Tension with Unknown Parameters using Artificial Neural Networks -- Effect of Static Wind Loads on Reduction of Damping in a Stay Cable with a Damper -- Characteristics of Semi-Rigid Steel Frames with Fuzzy Variables.
520	3		_aThe book presents the select proceedings of International Conference on Structural Health Monitoring and Engineering Structures (SHM&ES) 2020. It brings together different applied and technological aspects of structural health monitoring. The main topics covered in this book include damage assessment, structural health monitoring, engineering fracture mechanics, Inverse problem using optimization techniques, machine learning, deep learning, Artificial intelligent and non-destructive evaluation. It will be a reference for professionals and students in the areas of civil engineering, applied natural sciences and engineering management.
988			_aSpringer_Engineering_2021
650		7	_2embne _9147744 _aIndicadores de salud
650		7	_2embne _9146662 _aIngeniería mecánica
700	1		_aBui, Tinh Quoc _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aCuong, Le Thanh _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aKhatir, Samir _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9789811609442
776	0	8	_iPrinted edition: _z9789811609466
776	0	8	_iPrinted edition: _z9789811609473
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-0945-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2022 _dz _eb _zSI