A Novel Concrete-Based Sensor for Detection of Ice and Water on Roads and Bridges

Tabatabai, Habib; Aljuboori, Mohammed

doi:10.3390/s17122912

Cited by 32 publications

(23 citation statements)

References 3 publications

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“…The article by Xu, et al [ 24 ], presents a new kind of stainless steel (SS) galvanic sensor system for the study of rebar corrosion in different pore solution conditions. Tabatabai and Aljuboori [ 25 ] developed a resistance sensor made with SS in order to detect ice and water on roads and bridges.…”

Section: Introductionmentioning

confidence: 99%

Stainless Steel Voltammetric Sensor to Monitor Variations in Oxygen and Humidity Availability in Reinforcement Concrete Structures

Martínez-Ibernón

Lliso-Ferrando

Gandía-Romero

et al. 2021

Sensors

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The present work presents the results obtained with a stainless steel (SS) voltammetric sensor to detect variations in humidity (H2O) and oxygen (O2) availability in concretes. First, studies in solution were run by preparing several solutions to represent the different conditions that can be found in concrete pores. Second, the sensor’s response was studied by varying O2 availability by argon or synthetic air bubbling. Then concrete conditions with different degrees of carbonation were simulated using solutions with a pH between 13 and 8.45. After characterization in solution, a study by means of concrete probes with several water/cement ratios (0.6, 0.5 and 0.4) was performed, in which sensors were embedded and studied under different O2 and H2O saturation conditions. The obtained results revealed that with the voltagram, it is possible to evaluate O2 availability variation from the slopes of the lines identified logarithmically in the voltagram for the obtained cathodic sweeping. All the results obtained with the sensor were correlated/validated by standard assays to characterize porosity in hardened concretes.

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Section: Introductionmentioning

confidence: 99%

Stainless Steel Voltammetric Sensor to Monitor Variations in Oxygen and Humidity Availability in Reinforcement Concrete Structures

Martínez-Ibernón

Lliso-Ferrando

Gandía-Romero

et al. 2021

Sensors

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“…The development of sensor-based systems is the most appropriate solution with flexibility, portability and high applicability, which overcomes the limitations of the fixed systems as RWIS. Different sensor approaches were proposed in the study of Tabatabai et al in which the authors proposed a sensor based on electrical resistance measurements that, besides determining roadway conditions (icy, dry, wet and frozen), transmits warnings about location and surface temperature [13]. Piccardi et al studied different sensing geometries for the evaluation of the asphalt state using the measurement of the polarization/depolarization state of near infrared radiation (by two photodiodes).…”

Section: Introductionmentioning

confidence: 99%

GeSi Nanocrystals Photo-Sensors for Optical Detection of Slippery Road Conditions Combining Two Classification Algorithms

Palade

Stavarache

Stoïca

et al. 2020

Sensors

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One of the key elements in assessing traffic safety on the roads is the detection of asphalt conditions. In this paper, we propose an optical sensor based on GeSi nanocrystals embedded in SiO2 matrix that discriminates between different slippery road conditions (wet and icy asphalt and asphalt covered with dirty ice) in respect to dry asphalt. The sensor is fabricated by magnetron sputtering deposition followed by rapid thermal annealing. The photodetector has spectral sensitivity in the 360–1350 nm range and the signal-noise ratio is 102–103. The working principle of sensor setup for detection of road conditions is based on the photoresponse (photocurrent) of the sensor under illumination with the light reflected from the asphalt having different reflection coefficients for dry, wet, icy and dirty ice coatings. For this, the asphalt is illuminated sequentially with 980 and 1064 nm laser diodes. A database of these photocurrents is obtained for the different road conditions. We show that the use of both k-nearest neighbor and artificial neural networks classification algorithms enables a more accurate recognition of the class corresponding to a specific road state than in the case of using only one algorithm. This is achieved by comparing the new output sensor data with previously classified data for each algorithm and then by performing an intersection of the algorithms’ results.

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“…A number of ice detection methods have been proposed for various structures and purposes . They have been proven to be effective and promising; however, according to their sensing and detection mechanisms, they provide different information about the ice.…”

Section: Introductionmentioning

confidence: 99%

Icing estimation on wind turbine blade by the interface temperature using distributed fiber optic sensors

Zhang

Zhou

2020

Struct Control Health Monit

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Summary Icing on the surface of wind turbine blades is one of the most critical problems for wind turbines installed at sites in cold climate. It can significantly affect the performance of the entire wind turbine. A number of deicing methods and techniques have been developed to address this problem. However, first of all, timely icing detection and estimation can provide the necessary information, such as the amount and location of icing, which are very useful for optimizing the deicing process. In this work, first, the thermodynamic processes during icing on the surface of wind turbine blades were presented to understand the characteristics of the varying temperature related to icing process. In the experimental section, a wind turbine blade model was tested in the low‐temperature laboratory. High‐performance distributed fiber optic sensors were attached to the surface of the wind turbine blade to measure the temperature change. This sensor can provide the temperature information as much as possible, which enables the identification of the initiation time of icing and the estimation of the amount of icing. As a result, the relationship between the amount of icing and the temperature change can be obtained. It indicates that the proposed estimation method is efficient and sensitive for ice monitoring of wind turbine blades. Finally, finite element analysis was implemented to explore the effects of airflow on the temperature curves.

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A Novel Concrete-Based Sensor for Detection of Ice and Water on Roads and Bridges

Cited by 32 publications

References 3 publications

Stainless Steel Voltammetric Sensor to Monitor Variations in Oxygen and Humidity Availability in Reinforcement Concrete Structures

Stainless Steel Voltammetric Sensor to Monitor Variations in Oxygen and Humidity Availability in Reinforcement Concrete Structures

GeSi Nanocrystals Photo-Sensors for Optical Detection of Slippery Road Conditions Combining Two Classification Algorithms

Icing estimation on wind turbine blade by the interface temperature using distributed fiber optic sensors

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