A Novel Approach for Deterioration and Damage Identification in Building Structures Based on Stockwell-Transform and Deep Convolutional Neural Network

11/11/2021
by   Vahidreza Gharehbaghi, et al.
5

In this paper, a novel deterioration and damage identification procedure (DIP) is presented and applied to building models. The challenge associated with applications on these types of structures is related to the strong correlation of responses, which gets further complicated when coping with real ambient vibrations with high levels of noise. Thus, a DIP is designed utilizing low-cost ambient vibrations to analyze the acceleration responses using the Stockwell transform (ST) to generate spectrograms. Subsequently, the ST outputs become the input of two series of Convolutional Neural Networks (CNNs) established for identifying deterioration and damage to the building models. To the best of our knowledge, this is the first time that both damage and deterioration are evaluated on building models through a combination of ST and CNN with high accuracy.

READ FULL TEXT

page 13

page 17

page 18

page 19

page 20

page 21

page 22

page 23

research
05/02/2018

Vision-based Structural Inspection using Multiscale Deep Convolutional Neural Networks

Current methods of practice for inspection of civil infrastructure typic...
research
10/29/2021

Application of 2-D Convolutional Neural Networks for Damage Detection in Steel Frame Structures

In this paper, we present an application of 2-D convolutional neural net...
research
02/12/2020

Fully convolutional networks for structural health monitoring through multivariate time series classification

We propose a novel approach to Structural Health Monitoring (SHM), aimin...
research
01/18/2021

Interpretability in Convolutional Neural Networks for Building Damage Classification in Satellite Imagery

Natural disasters ravage the world's cities, valleys, and shores on a mo...
research
10/23/2019

Intensity-Based Feature Selection for Near Real-Time Damage Diagnosis of Building Structures

Near real-time damage diagnosis of building structures after extreme eve...
research
03/27/2017

Structural Damage Identification Using Artificial Neural Network and Synthetic data

This paper presents real-time vibration based identification technique u...
research
07/10/2020

Quantization in Relative Gradient Angle Domain For Building Polygon Estimation

Building footprint extraction in remote sensing data benefits many impor...

Please sign up or login with your details

Forgot password? Click here to reset