An effective deep feedforward neural networks (DFNN) method for damage identification of truss structures using noisy incomplete modal data
TT Truong, D Dinh-Cong, J Lee… - Journal of Building …, 2020 - Elsevier
Structural damage assessment is a challenging problem of study due to lack of information
in data measurement and the difficulty of extracting noisy features from the structural …
in data measurement and the difficulty of extracting noisy features from the structural …
Assessment of composite beam performance using GWO–ELM metaheuristic algorithm
R Ma, M Karimzadeh, A Ghabussi, Y Zandi… - Engineering with …, 2021 - Springer
Composite beams (CBs) include concrete slabs jointed to the steel parts by the shear
connectors, which highly popular in modern structures such as high rise buildings and …
connectors, which highly popular in modern structures such as high rise buildings and …
Structural damage identification based on modal frequency strain energy assurance criterion and flexibility using enhanced Moth-Flame optimization
M Huang, X Li, Y Lei, J Gu - Structures, 2020 - Elsevier
The development of structural damage identification based on dynamic characteristics has
been suffering from certain issues, such as low computational efficiency and lack of high …
been suffering from certain issues, such as low computational efficiency and lack of high …
A deep feed-forward neural network for damage detection in functionally graded carbon nanotube-reinforced composite plates using modal kinetic energy
HQ Le, TT Truong, D Dinh-Cong… - Frontiers of Structural and …, 2021 - Springer
This paper proposes a new Deep Feed-forward Neural Network (DFNN) approach for
damage detection in functionally graded carbon nanotube-reinforced composite (FG …
damage detection in functionally graded carbon nanotube-reinforced composite (FG …
A two-stage multi-damage detection approach for composite structures using MKECR-Tikhonov regularization iterative method and model updating procedure
D Dinh-Cong, T Nguyen-Thoi, DT Nguyen - Applied Mathematical …, 2021 - Elsevier
Modal kinetic energy (MKE)-based feature has been widely employed for the selection of
optimal sensor layout; however, its development to the field of structural damage …
optimal sensor layout; however, its development to the field of structural damage …
Economic construction management of composite beam using the head stud shear connector with encased cold-formed steel built-up fix beam via efficient computer …
J Yin, H Tong, M Gholizadeh, Y Zandi… - Advances in concrete …, 2021 - koreascience.kr
With regard to economic efficiency, composite fix beams are widely used to pass
longitudinal shear forces across the interface. The current knowledge of the composite beam …
longitudinal shear forces across the interface. The current knowledge of the composite beam …
Structural damage identification using an iterative two-stage method combining a modal energy based index with the BAS algorithm
S Wang, Y Jiang, M Xu, Y Li, Z Li - Steel and Composite Structures, An …, 2020 - dbpia.co.kr
The purpose of this study is to develop an effective iterative two-stage method (ITSM) for
structural damage identification of offshore platform structures. In each iteration, a new …
structural damage identification of offshore platform structures. In each iteration, a new …
Intelligent estimation of the discharge peak in Al Aqiq drainage basin: A case study in Al Madinah Munwwarah region
A Aldrees, AT Bakheit, H Assilzadeh - Smart Structures and Systems, An …, 2021 - dbpia.co.kr
The NRCS-CN model is one of the commonly used models for the estimation of discharge
peak in a watershed in Saudi Arabia using the DEM outputs and daily rainfall data. The …
peak in a watershed in Saudi Arabia using the DEM outputs and daily rainfall data. The …
Estimation of virtual masses for structural damage identification
J Hou, Z Li, Ł Jankowski, S Wang - Structural Control and …, 2020 - Wiley Online Library
Adding a virtual mass is an effective method for damage identification. It can be used to
obtain a large amount of information about structural response and dynamics, thereby …
obtain a large amount of information about structural response and dynamics, thereby …
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