Swarm-based hybridizations of neural network for predicting the concrete strength

X Ma, LK Foong, A Morasaei, A Ghabussi… - Smart Structures and …, 2020 - dbpia.co.kr
Due to the undeniable importance of approximating the concrete compressive strength
(CSC) in civil engineering, this paper focuses on presenting four novel optimizations of multi …

Modal parameter identification of a multiple-span post-tensioned concrete bridge using hybrid vibration testing data

GW Chen, X Chen, P Omenzetter - Engineering Structures, 2020 - Elsevier
The paper describes and evaluates application of output-only system identification to an
eleven-span post-tensioned concrete bridge using hybrid excitation. A linear chirp sweeping …

Vision‐based natural frequency identification using laser speckle imaging and parallel computing

KT Park, M Torbol, S Kim - Computer‐Aided Civil and …, 2018 - Wiley Online Library
This study focuses on the identification of the natural frequencies of structures through the
analysis of the speckle pattern that a laser creates and a camera records. The laser pointer …

A sensor fault detection strategy for structural health monitoring systems

CM Chang, JY Chou, P Tan, L Wang - Smart Structures and Systems, An …, 2017 - dbpia.co.kr
Structural health monitoring has drawn great attention in the field of civil engineering in past
two decades. These structural health monitoring methods evaluate structural integrity …

A nonparametric method for identifying structural damage in bridges based on the best-fit auto-regressive models

T Khuc, PT Nguyen, A Nguyen… - International Journal of …, 2020 - World Scientific
An enhanced method to determine the best-fit auto-regressive model (AR model) for
structural damage identification is proposed in this paper. Whereby, two parameters of the …

Predicting the concrete compressive strength through MLP network hybridized with three evolutionary algorithms

X Geng, H Moayedi, F Pan, LK Foong - Smart Structures and Systems …, 2021 - dbpia.co.kr
In this research, we synthesized an artificial neural network (ANN) with three metaheuristic
algorithms, namely particle swarm optimization (PSO) algorithm, imperialist competition …

Improving the performance of the autoregressive method in modal identification of output-only systems using the empirical mode decomposition

A Nikkhoo, H Karegar, RK Mohammadi, F Hejazi - Structures, 2020 - Elsevier
The autoregressive method is one of the simple methods for modal identification of the
output-only systems. However, through the autoregressive method, for identifying n modes …

Feasibility study on an acceleration signal-based translational and rotational mode shape estimation approach utilizing the linear transformation matrix

IH Kim, SH Sung, GY Lee - Smart Structures and Systems, An …, 2023 - dbpia.co.kr
In modal analysis, the mode shape reflects the vibration characteristics of the structure, and
thus it is widely performed for finite element model updating and structural health monitoring …

Hybrid vibration testing for bridge modal system identification

GW Chen, X Chen, P Omenzetter - Procedia Structural Integrity, 2024 - Elsevier
Output-only system identification of a large post-tensioned concrete bridge using hybrid
excitation was conducted. To boost ambient excitations, dynamic forcing applied by two light …

Influence of asphalt removal on operational modal analysis of Egebækvej Bridge

U Yıldırım - Smart Structures and Systems, An International Journal, 2023 - dbpia.co.kr
Using the most up-to-date system identification methods in both time and frequency
domains, the dynamic monitoring data from the reinforced concrete Egebaekvej Bridge near …