Monitoring of Pavement Structural Characteristics

Fontul, Simona; Neves, José; Gomes, Sandra Vieira

doi:10.1007/978-3-031-05875-2_8

Cited by 1 publication

(1 citation statement)

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“…Using the deflection bowl information derived from HWD assessments [8], the modulus of pavement structure can be retroactively determined [9][10][11], leading to a precise evaluation of pavement structural health. Dynamic deflectometers, such as Traffic Speed Deflectometers (TSD) [12] and Laser Dynamic Deflectometers (LDD) [13,14], can achieve measurement speeds of up to 90 km/h [15], enabling high-speed continuous structural performance testing. Nevertheless, these methods encounter challenges, including interruptions in airfield operations, limited coverage of inspection locations, and extensive time required for data collection and analysis [7][8][9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Runway Pavement Structural Analysis Using Remote Laser Doppler Vibrometers

Yang,

Zhao,

Tian

et al. 2023

Applied Sciences

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Structural analysis is crucial for airfield pavement evaluation and plays a critical role in ensuring airfield operation safety and efficiency. Traditionally, the evaluation has relied on the Heavy Weight Deflectometer (HWD) test. This method encounters challenges, including interruptions in airfield operations, limited coverage of inspection locations, and extensive time required for data collection and analysis. In the presented research, a remote method for the measurement and analysis of runway pavement structural deflection induced by transiting aircraft was introduced, employing a Remote Laser Doppler Vibrometer (RLDV). First, a test system was developed to acquire deflection measurements of airport pavements using RLDV. To address inaccuracies arising from minor angle measurements and fixed-end beam vibrations, vibration correction methods were developed and validated. Thereafter, a linear regression model was constructed using data from both RLDV and HWD measurements, yielding a correlation coefficient of 0.94. This correlation highlights the reliable utility of RLDV in analyzing pavement structural response. The objective of this research is to present a novel approach for the evaluation of pavement structural performance.

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