Detection of Cracks in Asphalt Pavement During Road Inspection Processes

Staniek, Marcin

doi:10.20858/sjsutst.2017.96.16

Cited by 13 publications

(11 citation statements)

References 17 publications

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“…Найбільш поширеним методом отримання інформації про руйнування і деформації покриття є метод візуальної оцінки, що здійснюється за допомогою відеозйомки та дозволяє оцінити дефектність покриття. Відповідно до класифікації [6] відеодіагностіка дорожнього покриття містить у собі завдання аналізу, класифікації та оцінювання глибини тріщин. Основним методом є аналіз інтенсивності зображення, одержуваного за результатами відеозйомки.…”

Section: аналіз сучасних досліджень і публікаційunclassified

Analysis of Modern Methods and Tools for Diagnostics of Flexible Pavement

Batrakova

Urdzik

Batrakov

2022

MEC

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Solving the problem of increasing the durability of pavement requires establishing a level of permissible defectiveness that takes into account insecure hidden damage, such as hidden cracks. A detailed study of hidden cracks became possible with the development of means and methods for non-destructive testing of pavement, but their diversity greatly complicates the procedure for choosing the optimal methods and technical means for solving problems of pavement diagnostics. Therefore, the article analyzes the potential and scope of instrumental methods for diagnosing non-rigid pavement for solving problems of assessing the state of non-rigid pavement with cracks in layers of monolithic materials, and substantiates the most promising methods and tools for positioning and identifying cracks in pavement layers. The conducted studies allow: to substantiate the requirements for equipment for solving the problems of flaw detection of flat-layered media, in particular, non-rigid pavement; develop a procedure for diagnosing non-rigid pavement; to develop methods for interpreting diagnostic results to solve the problems of finding, positioning and identifying cracks in layers of non-rigid pavement. The conducted studies have proved that GPRs have the greatest potential for solving the problem of non-rigid pavement flaw detection. The advantages of GPR sounding for solving this class of problems are ensured by the continuity of data collection, the best resolution relative to other geophysical methods, high shooting speed, and the possibility of using it in a wide range of road construction materials. It can also be stated that there is considerable experience in the use of GPR for searching, positioning and identifying through cracks in layers of non-rigid pavement, while research on finding, positioning and identifying hidden cracks is very limited. Therefore, further research should be aimed at solving the following problems: improving methods for restoring the dielectric constant in multilayer structures, which will improve the reliability of GPR data interpretation results and the efficiency of diagnostics; development of methods for recording and analyzing the polarization state of the signal reflected from cracks, which creates a theoretical foundation for flaw detection of pavements and expands the possibilities of GPR diagnostics; substantiation of the type of antenna units, which will improve the accuracy of measurements. The solution of these problems will allow assessing the state of non-rigid pavement with cracks, based on information about the geometric and structural heterogeneity of the layers of the structure, obtained from the results of GPR sounding.

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Section: аналіз сучасних досліджень і публікаційunclassified

Analysis of Modern Methods and Tools for Diagnostics of Flexible Pavement

Batrakova

Urdzik

Batrakov

2022

MEC

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“…Road inspection is one of the key processes of the pavement management system that provides the necessary information to implement the appropriate policy of road infrastructure maintenance and planning for temporary repairs and renovations (Staniek, 2017). Of course, this assessment of the condition of road surfaces to ensure their efficiency, when the road still provides maximum safety for existing traffic, should be done, so that repair and reconstruction operations are timely and effective (Fan et al, 2019).…”

Section: Consecutive Inspections Frequency Of Consecutive Inspectionsmentioning

confidence: 99%

Application of Mathematical Models for Optimizing Inspection Frequency in Maintenance and Management of Pavement

Khabiri¹,

Fard²

2021

JST

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Mathematical optimization, also called mathematical programming, is the process by which the best answer (according to a set of criteria) is selected from a set of possible answers to a particular problem. Today, optimization problems are used in all quantitative fields such as computer science, engineering, operations research, economics, and more; one of the engineering disciplines in which optimization is very important is road and transportation engineering. Road repair is one of the most important componentsof pavement management that requires regular road inspection by road specialists. One of the most important measures to prevent failure is maintenance inspection; Assessment of the condition of road surfaces to ensure their performance, while the road still provides maximum safety for existing traffic, should be done to ensure timely and effective repair and reconstruction operations. But exactly when these inspections should take place and when they are effective is an issue that is addressed in this study. The aim of this study is to optimize the frequency of maintenance inspections for a high-traffic suburban road by optimizing the frequency of inspections with a certain degree of reliability; so, the breakage function was considered as a pavement condition index (PCI). The results show that in order to pave the suburban road with high traffic in order to perform the desired pavement with 95% reliability, 218 inspections should be carried out annually (on average once every two days).

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“…Therefore, it is important to study road cracks detection using the effective way for timely crack repair. Road crack is a crucial indicator in pavement design where related agencies require the road condition information to plan for the road network management, cost, time, and quantity of ingredients needed for the road repair (Staniek, 2017). Hence, a georeferenced map that evaluates and plots the road quality is essential to manage road maintenance (Miraliakbari et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Quality Assessments of Unmanned Aerial Vehicle (Uav) and Terrestrial Laser Scanning (Tls) Methods in Road Cracks Mapping

Ahmad²

2023

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. In general, poor road conditions, specifically road cracks constitute a public nuisance, causing troublesome to road users, severe damage to vehicles and accidents. Hence, it is essential to detect the road crack earlier as an early-stage preventive for maintenance, but traditional inspection method used in Malaysia to physically collect the road information is extremely time-consuming, hazardous and labour-intensive. Nowadays, new technologies have improved the measuring performance. This leaves a gap in comparing two modern technologies in road cracks mapping. This study aims to explore the quality assessment between the unmanned aerial vehicle (UAV) and terrestrial laser scanning (TLS) methods in road cracks mapping. Two study areas inside the campus of Universiti Teknologi Malaysia (UTM), Johor, were selected. The ground control points (GCPs) and check points (CPs) at the study areas were georeferenced by global navigation satellite system (GNSS) data with MyRTKNet and ISKnet connections. Low altitude aerial imageries were collected using DJI Phantom 4 UAV, while Topcon GLS-2000 was employed to acquire the dense data of the cracked road. GNSS and manual inspection methods were performed to evaluate the results. In terms of mapping and measurement, both TLS and UAV methods produce almost similar results with average RMSE differences ranging from ±0.003 m to ±0.030 m and ±0.042 m to ±0.224 m respectively. This revealed that TLS is more accurate than UAV in mapping and measuring work. Differences in DTM quality across these approaches is below two (2) cm. Based on this study, TLS is more reliable than UAV. However, UAV offers advantages based on several considerations such as cost, time, safety, and accessibility. In summary, findings from this study shed some light to the authorities on the feasibility of UAV and TLS methods in road cracks mapping.

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Detection of Cracks in Asphalt Pavement During Road Inspection Processes

Cited by 13 publications

References 17 publications

Analysis of Modern Methods and Tools for Diagnostics of Flexible Pavement

Analysis of Modern Methods and Tools for Diagnostics of Flexible Pavement

Application of Mathematical Models for Optimizing Inspection Frequency in Maintenance and Management of Pavement

Quality Assessments of Unmanned Aerial Vehicle (Uav) and Terrestrial Laser Scanning (Tls) Methods in Road Cracks Mapping

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