APPLICATION OF ARTIFICIAL NEURAL NETWORKS FOR DEVELOPING A CRACK DETECTION ALGORITHM
Published In: 7TH INTERNATIONAL CONFERENCE ON ADVANCES IN CIVIL, STRUCTURAL AND MECHANICAL ENGINEERING
Author(s): DIVYA VANI B , MANJUNATH N HEGDE , B PRAKRUTHI GOWD
Abstract: As the demand for the safety and functionality of civil structures is increasing continuously, structure health monitoring (SHM) has now become more and more important. Recent developments in artificial intelligence is offering great potentials to develop a more efficient, reliable, and robust structure damage detection system. In this paper, the application of artificial neural networks is investigated and an intelligent structural damage detection algorithm is developed and also an uncertainty study is made to check the robustness of the algorithm developed.
- Publication Date: 24-Sep-2017
- DOI: 10.15224/978-1-63248-135-1-41
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- Downloads: 0
DETECTION OF DAMAGE IN A BEAM LIKE STRUCTURE USING WAVELET ANALYSIS
Published In: 7TH INTERNATIONAL CONFERENCE ON ADVANCES IN CIVIL, STRUCTURAL AND MECHANICAL ENGINEERING
Author(s): B PRAKRUTHI GOWD , DIVYA VANI B , MANJUNATH N HEGDE
Abstract: Damage in a structure will adversely affect its current and future performance. Most often the extent and location of damage can be determined through visual inspection. However, in many cases this may not be feasible at initial or later stages. Structural damages may cause local changes in one or more parameters like stiffness, mass and damping that affects the dynamic behaviour of the structure. Modal parameters are sensitive indicators of structural damage. In this paper, the wavelet transform (both continuous and discrete) has been used to detect, locate and find the severity of the damage in a beams like structure which does not require the knowledge of the undamaged state.
- Publication Date: 24-Sep-2017
- DOI: 10.15224/978-1-63248-135-1-42
- Views: 0
- Downloads: 0