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Structural Health Monitoring and Engineering Structures: Select Proceedings of SHM&ES 2020 de Tinh Quoc Bui

Structural Health Monitoring and Engineering Structures: Select Proceedings of SHM&ES 2020: Lecture Notes in Civil Engineering, cartea 148

Editat de Tinh Quoc Bui, Le Thanh Cuong, Samir Khatir
en Limba Engleză Hardback – 11 iun 2021
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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Specificații

ISBN-13: 9789811609442
ISBN-10: 9811609446
Ilustrații: XXIV, 587 p. 365 illus., 314 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.03 kg
Ediția:1st ed. 2021
Editura: Springer Nature Singapore
Colecția Springer
Seria Lecture Notes in Civil Engineering

Locul publicării:Singapore, Singapore

Cuprins

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.

Notă biografică

Dr. Tinh Q. Bui is currently an Associate Professor at the Department of Civil and Environmental Engineering, Tokyo Institute of Technology, Japan. He holds other academic positions including Visiting Professor (Dalian University of Technology, China) and Visiting Associate Professor (NTUST, Taiwan). Prof. Bui received his PhD in Mechanical Engineering, Vienna University of Technology, Austria, 2009. He serves Editor for Applied Mathematical Modelling, Thin-Walled Structures; Engineering Analysis with Boundary Elements; Scientific Reports, SN Applied Sciences. He was awarded "The 2018 JACM Award for Young Investigators in Computational Mechanics" from Japan Association for Computational Mechanics. He is authored and co-authored of over 150 ISI peer-reviewed articles. Prof. Bui’s research interests are computational mechanics, fracture mechanics, composites, computational inelasticity, and numerical methods".

Dr. Thanh Cuong-Le is lecturer at the Facultyof Civil Engineering, Ho Chi Minh City Open University, Vietnam. He received his PhD from Ghent University of Belgium in 2019. His research focuses on computational science and engineering, structural stability, dynamic analysis, plates and shell, optimization and  structural health monitoring. He has published papers in Computer Methods in Applied Mechanics and Engineering, Composite structures, and Thin-Walled Structures.  


Dr. Samir Khatir is currently a Doctor assistant at Ghent university Belgium and adjunct Doctor assistant at Ho Chi Minh Open university Vietnam. He received PhD in Civil engineering at Ghent university and another PhD in Mechanical engineering from UMBB Algeria. Dr Samir Khatir improved and created many techniques for damage identification. He is authored and co-authored of over 40 ISI peer-reviewed articles. His primary research interest is in the areas of Civil and Mechanical engineeringsuch as FEM, XFEM, Iso-Geometric Analysis (IGA), Extended Iso-Geometric analysis (XIGA), Dynamic, Static, Damage identification, Fracture mechanics, Optimization, Inverse problem, Wear, Friction, Laminated composites, Delamination, Transmissibility, Fatigue, Bridge, Civil engineering structures, Machine Learning, Model Reduction, Deep Learning, and  experimental modal analysis. He is also on the editorial board in many scientific journals.

Textul de pe ultima copertă

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.

Caracteristici

Presents the latest developments in structural health monitoring Covers industrial engineering applications in field of structural health monitoring Covers interesting topics like Inverse problem using an optimization technique