Multifractal analysis of crack patterns in reinforced concrete shear walls

  title={Multifractal analysis of crack patterns in reinforced concrete shear walls},
  author={Arvin Ebrahimkhanlou and Alireza Farhidzadeh and Salvatore Salamone},
  journal={Structural Health Monitoring},
  pages={81 - 92}
Conventionally, the assessment of reinforced concrete shear walls relies on manual visual assessment which is time-consuming and depends heavily on the skills of the inspectors. The development of automated assessment employing flying and crawling robots equipped with high-resolution cameras and wireless communications to acquire digital images and advance image processing to extract crack patterns has paved the path toward implementing an automated system which determines structural damage… 
A machine learning approach based on multifractal features for crack assessment of reinforced concrete shells
The geometric properties and spatial characteristics of crack patterns are significant indicators of the extent of damage on reinforced concrete structures. However, manual visual assessment is
Stiffness and Strength Estimation of Damaged Unreinforced Masonry Walls Using Crack Pattern
ABSTRACT After an earthquake, the residual stiffness and strength of structural elements are typically estimated based on a qualitative visual inspection of cracks that is prone to error. In this
Surface crack detection in concrete structures using video processing techniques
Using video processing methods, a methodology is developed to track crack formation and results show that monitoring Gini coefficients for each frame can indicate new crack formations.
Detection and Measurements of Cracks in Axially Loaded Tension RC Members by Image Processing Technique
This research work uses the image analysis method adopted in laboratory testing of the concrete prism with reinforcement under axial tension to identify and measure cracks in concrete prism samples, a crack quantification method based on 2D image analysis is utilized.
A computer vision-based crack quantification of reinforced concrete shells using graph theory measures
SHM and NDE/NDT are developed to evaluate the amount of damage to a structure. Since human inspections are prone to misdiagnosis and/or miss-interpretations, the damage assessment and identification
Damage assessment of RC arch structures using fractal analysis of crack patterns
  • A. Kazemian, A. Khaloo
  • Physics
    Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring
  • 2021
Surface crack patterns can easily show the behavior of concrete elements and structures. However, visual damage inspection performed by experts is a subjective approach and is prone to inaccuracies.
Strength and stiffness estimation of damaged reinforced concrete shear walls using crack patterns
The purpose of this paper is to estimate the stiffness and strength of damaged rectangular reinforced concrete shear walls after an earthquake using surface crack patterns. Assessing the damage


Multifractal analysis of two-dimensional images for damage assessment of reinforced concrete structures
The most common assessment technique for reinforced concrete shear walls (RCSW) is Visual Inspection (VI). The current practice suffers from subjective and labor intensive nature as it highly relies
Damage Assessment of Reinforced Concrete Structures Using Fractal Analysis of Residual Crack Patterns
Currently, assessing the performance and safety of reinforced concrete structures relies on routine-based visual inspection (VI). Cracks width measurements are commonly used as a convenient indicator
A vision-based technique for damage assessment of reinforced concrete structures
A novel damage index based upon Fractal Dimension (FD) analysis of residual cracks as a complementary method for VI is proposed, which can quantify crack patterns and enhance the routine inspection procedure by establishing a crack pattern recognition system.
Nondestructive Assessment of Reinforced Concrete Structures Based on Fractal Damage Characteristic Factors
Nondestructive damage assessment of civil engineering structures has become a focus of increasing interest for recent decades. Its core is to extract effective damage characteristic information
A new methodology for non-contact accurate crack width measurement through photogrammetry for automated structural safety evaluation
In mechanical, aerospace and civil structures, cracks are important defects that can cause catastrophes if neglected. Visual inspection is currently the predominant method for crack assessment. This
Corrosion damage estimation in multi-wire steel strands using guided ultrasonic waves
This study presents a nondestructive evaluation method based on guided ultrasonic waves (GUW) to estimate corrosion in steel strands. Steel strands are one of the main components in constructing
Masonry Crack Detection Application of an Unmanned Aerial Vehicle
The predominant method for infrastructure evaluation is visual inspection. The large number and scale of inspections often make it difficult to catalog the location, size, and severity of the
Image-Based Framework for Concrete Surface Crack Monitoring and Quantification
This paper proposes an image-based framework, whereby optical cameras provide the source images and involves several advanced image processing methods, including the determination of damage occurrence using time-series images, and the localization of damage at each image frame.
Vibrational damage detection using fractal surface singularities with noncontact laser measurement
This study concerns damage detection in plate-type structures using fractal surface singularities with noncontact laser measurement of structural dynamic responses. The fractal dimension analysis
Cracking and Chloride Contents in Reinforced Concrete Bridge Decks
The effects of material properties, design specifications, construction practices, and environmental site conditions on the performance of reinforced concrete bridge decks were evaluated. Field