Data mining-based damage identification of a slab-on-girder bridge using inverse analysis

Measurement ◽  
2020 ◽  
Vol 151 ◽  
pp. 107175 ◽  
Author(s):  
Meisam Gordan ◽  
Zubaidah Ismail ◽  
Hashim Abdul Razak ◽  
Khaled Ghaedi ◽  
Zainah Ibrahim ◽  
...  
Keyword(s):  
Data Mining ◽  
Inverse Analysis ◽  
Damage Identification ◽  
Girder Bridge

scholarly journals Identification of Structural Damage in Bridges Using High-Frequency Vibrational Responses

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Ivana Mekjavić
Keyword(s):  
High Frequency ◽  
Structural Damage ◽  
Natural Frequencies ◽  
Damage Identification ◽  
Damage Model ◽  
Reinforced Concrete Beam ◽  
Computational Technique ◽  
Damage Scenarios ◽  
Identification Approach ◽  
Girder Bridge

The present research aims to develop an effective and applicable structural damage detection method. A damage identification approach using only the changes of measured natural frequencies is presented. The structural damage model is assumed to be associated with a reduction of a contribution to the element stiffness matrix equivalent to a scalar reduction of the material modulus. The computational technique used to identify the damage from the measured data is described. The performance of the proposed technique on numerically simulated real concrete girder bridge is evaluated using imposed damage scenarios. To demonstrate the applicability of the proposed method by employing experimental measured natural frequencies this technique is applied for the first time to a simply supported reinforced concrete beam statically loaded incrementally to failure. The results of the damage identification procedure show that the proposed method can accurately locate the damage and predict the extent of the damage using high-frequency (here beyond the 4th order) vibrational responses.

scholarly journals Optimization-Based Evolutionary Data Mining Techniques for Structural Health Monitoring

2020 ◽  
Vol 9 (1) ◽  
pp. 14-23 ◽  
Author(s):  
Meisam Gordan ◽  
Zubaidah Binti Ismail ◽  
Hashim Abdul Razak ◽  
Khaled Ghaedi ◽  
Haider Hamad Ghayeb
Keyword(s):  
Data Mining ◽  
Exact Solution ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Structural Damage ◽  
Damage Identification ◽  
Optimization Problems ◽  
Engineering Optimization ◽  
Structural Health ◽  
Structural Damage Identification

In recent years, data mining technology has been employed to solve various Structural Health Monitoring (SHM) problems as a comprehensive strategy because of its computational capability. Optimization is one the most important functions in Data mining. In an engineering optimization problem, it is not easy to find an exact solution. In this regard, evolutionary techniques have been applied as a part of procedure of achieving the exact solution. Therefore, various metaheuristic algorithms have been developed to solve a variety of engineering optimization problems in SHM. This study presents the most applicable as well as effective evolutionary techniques used in structural damage identification. To this end, a brief overview of metaheuristic techniques is discussed in this paper. Then the most applicable optimization-based algorithms in structural damage identification are presented, i.e. Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Imperialist Competitive Algorithm (ICA) and Ant Colony Optimization (ACO). Some related examples are also detailed in order to indicate the efficiency of these algorithms.

Research on Radial Basis Function Network Application in Steel Truss Girder Bridge Damage Identification

2014 ◽  
Vol 536-537 ◽  
pp. 352-355
Author(s):  
Zhong Hui Wang
Keyword(s):  
Structural Damage ◽  
Damage Identification ◽  
Radial Basis Function Network ◽  
New Method ◽  
Structure Damage ◽  
Steel Truss ◽  
Bridge Damage ◽  
Girder Bridge ◽  
Steel Truss Girder ◽  
Better Than

Damage alarm is an important step among structure damage identification. Its objective is to evaluate the structure health. the existing damage alarm methods are mostly based on BPNN without thinking over testing noise. Therefore, a new method based on hybrid algorithm RBFNN is proposed for structure damage alarm system in this paper. The experiment results of steel truss girder bridge show that the new method is better than BPNN for structural damage alarm.

scholarly journals Knowledge discovery and data mining in pavement inverse analysis

Transport ◽  
2013 ◽  
Vol 28 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Kasthurirangan Gopalakrishnan ◽  
Ankit Agrawal ◽  
Halil Ceylan ◽  
Sunghwan Kim ◽  
Alok Choudhary
Keyword(s):  
Data Mining ◽  
Knowledge Discovery ◽  
Inverse Analysis

Damage identification using inverse analysis for 3D coupled thermo-hydro-mechanical problems

2018 ◽  
Vol 196 ◽  
pp. 146-156
Author(s):  
Long Nguyen-Tuan ◽  
Carsten Könke ◽  
Tom Lahmer
Keyword(s):  
Inverse Analysis ◽  
Damage Identification
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