Airfield Pavement Evaluation, Royal Thai Navy Station, Ban U-Tapao Airfield, Thailand

1969 ◽  
Author(s):  
David J. Lambiotte ◽  
Marion C. Chapman
Keyword(s):  
Pavement Evaluation

Airfield Pavement Evaluation: Sucre and Potosi Airfields, Bolivia

1989 ◽  
Author(s):  
Jay Gabrielson ◽  
Ralph Crompton ◽  
Todd Bauder ◽  
Steven Hudson ◽  
Doug Thompson
Keyword(s):  
Pavement Evaluation

Airport pavement evaluation systems for maintenance strategies development: a systematic literature review

2020 ◽  
Author(s):  
Ingrid Rebouças de Moura ◽  
Franco Jefferds dos Santos Silva ◽  
Luis Henrique Gonçalves Costa ◽  
Edmon Darwich Neto ◽  
Herbert Ricardo Garcia Viana
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Maintenance Strategies ◽  
Evaluation Systems ◽  
Airport Pavement ◽  
Pavement Evaluation

scholarly journals Non-destructive ultrasonic tomography for concrete pavement evaluation: signal processing and image analysis of crucial parameters

2017 ◽  
Vol 10 (6) ◽  
pp. 1182-1191
Author(s):  
L. S. SALLES ◽  
J. T. BALBO ◽  
L. KHAZANOVICH
Keyword(s):  
Signal Processing ◽  
Concrete Slab ◽  
Low Frequency ◽  
Concrete Pavement ◽  
Ultrasonic Tomography ◽  
Transverse Cracks ◽  
Pavement Maintenance ◽  
Use Of Technology ◽  
Pavement Evaluation ◽  
Non Destructive

Abstract In recent years, due to the destructive and unproductive character of pavement specimen extraction, pavement maintenance technology intensified the use of non-destructive techniques for pavement evaluation which resulted in the development of several devices and evaluation methods. This paper describes the use of technology based on low frequency ultrasonic tomography for evaluation of concrete pavement parameters. The equipment was applied in three experimental sections with different concrete pavements built at the University of Sao Paulo campus. The ultrasonic signal processing is given. The results analysis enables the efficient and reliable identification of thickness and reinforcement position within the concrete slab. Construction problems were evidenced in one of experimental sections with thickness deficiencies and reinforcement in a position below projected. Furthermore, the use of a novel concrete quality indicator was correlated with the presence of transverse cracks and alkali-silica reaction within the sections.

Evaluation of Network-Level Data Collection Variability and its Influence on Pavement Evaluation Utilizing Random Forest Method

2021 ◽  
pp. 036119812098043
Author(s):  
Xiaoyang Jia ◽  
Mark Woods ◽  
Hongren Gong ◽  
Di Zhu ◽  
Wei Hu ◽  
...  
Keyword(s):  
Data Collection ◽  
High Variability ◽  
Pavement Management ◽  
Data Sets ◽  
State Highway ◽  
Condition Evaluation ◽  
Level Data ◽  
Pavement Evaluation ◽  
Data Variability ◽  
Parallel Tests

The use of pavement condition data to support maintenance and resurfacing strategies and justify budget needs becomes more crucial as more data-driven approaches are being used by the state highway agencies (SHAs). Therefore, it is important to understand and thus evaluate the influence of data variability on pavement management activities. However, owing to a huge amount of data collected annually, it is a challenge for SHAs to evaluate the influence of data collection variability on network-level pavement evaluation. In this paper, network-level parallel tests were employed to evaluate data collection variability. Based on the data sets from the parallel tests, classification models were constructed to identify the segments that were subject to inconsistent rating resulting from data collection variability. These models were then used to evaluate the influence of data variability on pavement evaluation. The results indicated that the variability of longitudinal cracks was influenced by longitudinal lane joints, lateral wandering, and lane measurement zones. The influence of data variability on condition evaluation for state routes was more significant than that for interstates. However, high variability of individual metrics may not necessarily lead to high variability of combined metrics.

Pavement Evaluation and Design for Jumbo Jets

1969 ◽  
Vol 95 (4) ◽  
pp. 639-658
Author(s):  
Bernard A. Vallerga ◽  
B. Franklin McCullough
Keyword(s):  
Pavement Evaluation

Effectiveness of Spectral Analysis of Surface Waves (SASW) method for pavement evaluation

2017 ◽  
pp. 631-636 ◽  
Author(s):  
Andreas Loizos ◽  
Christina Plati ◽  
Brad Cliatt ◽  
Konstantinos Gkyrtis
Keyword(s):  
Spectral Analysis ◽  
Surface Waves ◽  
Pavement Evaluation
Sign in / Sign up

Export Citation Format

Share Document