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Structural health monitoring and eng...
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(1998 :)
Structural health monitoring and engineering structuresselect proceedings of SHM&ES 2020 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Structural health monitoring and engineering structuresedited by Tinh Quoc Bui, Le Thanh Cuong, Samir Khatir.
Reminder of title:
select proceedings of SHM&ES 2020 /
remainder title:
SHM&ES 2020
other author:
Bui, Tinh Quoc.
corporate name:
Published:
Singapore :Springer Singapore :2021.
Description:
xxiv, 587 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Structural health monitoringEncyclopedias.
Online resource:
https://doi.org/10.1007/978-981-16-0945-9
ISBN:
9789811609459$q(electronic bk.)
Structural health monitoring and engineering structuresselect proceedings of SHM&ES 2020 /
Structural health monitoring and engineering structures
select proceedings of SHM&ES 2020 /[electronic resource] :SHM&ES 2020edited by Tinh Quoc Bui, Le Thanh Cuong, Samir Khatir. - Singapore :Springer Singapore :2021. - xxiv, 587 p. :ill., digital ;24 cm. - Lecture notes in civil engineering,v.1482366-2557 ;. - Lecture notes in civil engineering ;v.1..
Weight Optimization of a Truss Structure using Rao Algorithms and their Variants -- Model updating of frame structure using Equilibrium Optimizer (EO) and Cuckoo Search (CS) algorithms -- Multilayer Perceptron Neural Network for Damage Identification Based on Dynamic Analysis -- Optimization of processing parameters of primary phase particle size of cooling slope process for semi-solid casting of ADC 12 Al alloy -- Application of Artificial Neural Network for Recovering GPS - RTK Data in The Monitoring of Cable-Stayed Bridge Deformation -- Estimation of Cable Tension with Unknown Parameters using Artificial Neural Networks -- Effect of Static Wind Loads on Reduction of Damping in a Stay Cable with a Damper -- Characteristics of Semi-Rigid Steel Frames with Fuzzy Variables.
The book presents the select proceedings of International Conference on Structural Health Monitoring and Engineering Structures (SHM&ES) 2020. It brings together different applied and technological aspects of structural health monitoring. The main topics covered in this book include damage assessment, structural health monitoring, engineering fracture mechanics, Inverse problem using optimization techniques, machine learning, deep learning, Artificial intelligent and non-destructive evaluation. It will be a reference for professionals and students in the areas of civil engineering, applied natural sciences and engineering management.
ISBN: 9789811609459$q(electronic bk.)
Standard No.: 10.1007/978-981-16-0945-9doiSubjects--Topical Terms:
451656
Structural health monitoring
--Encyclopedias.
LC Class. No.: TA656.6 / .I58 2020
Dewey Class. No.: 624.171
Structural health monitoring and engineering structuresselect proceedings of SHM&ES 2020 /
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Weight 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.
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The 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.
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Engineering (SpringerNature-11647)
based on 0 review(s)
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000000199900
電子館藏
1圖書
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EB TA656.6 .I61 2020 2021
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0
1 records • Pages 1 •
1
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https://doi.org/10.1007/978-981-16-0945-9
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