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Prof. Yu Tian
Tongji University

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0 Pavement
0 Pavement design
0 Airport
0 civil engineering
0 pavement analysis

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Research article
Published: 26 April 2021 in International Journal of Pavement Engineering
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Airport runway roughness can be characterised by power spectral density (PSD) and two spectrum parameters, namely, the unevenness index and waviness. In order to find suitable spectrum parameters for airport runway roughness, seven runway profiles in China were measured to expand the current database of runway profiles. The statistical distributions of the spectrum parameters for runway roughness then were calculated, and the effects of the spectrum parameters on aircraft vibrations were analysed. The results show that the mode of the unevenness index is 0.13, which is a little lower than that of an A-level road, and the mode of waviness is 2.2, which is higher than the waviness recommended in ISO road classification. Moreover, as the unevenness index and the waviness increase, the aircraft vibrations become more severe. The aircraft vibration responses can be represented as a function of waviness, unevenness index, and speed, with a high correlation. At a constant speed, the relationship between the threshold values of the unevenness index and waviness can be shown as a straight line in a log plot. Finally, taking 200 km/h as the representative speed, threshold curves of the spectrum parameters, which are based on ride comfort levels and statistical analysis are proposed for the the simulation of aircraft vibration.

ACS Style

Jinsong Qian; Yebo Cen; Xiangwei Pan; Yu Tian; Shifu Liu. Spectrum parameters for runway roughness based on statistical and vibration analysis. International Journal of Pavement Engineering 2021, 1 -13.

AMA Style

Jinsong Qian, Yebo Cen, Xiangwei Pan, Yu Tian, Shifu Liu. Spectrum parameters for runway roughness based on statistical and vibration analysis. International Journal of Pavement Engineering. 2021; ():1-13.

Chicago/Turabian Style

Jinsong Qian; Yebo Cen; Xiangwei Pan; Yu Tian; Shifu Liu. 2021. "Spectrum parameters for runway roughness based on statistical and vibration analysis." International Journal of Pavement Engineering , no. : 1-13.

Research article
Published: 12 April 2021 in International Journal of Pavement Engineering
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This study was undertaken to develop a new index, the Main Landing Gear Cumulative Stroke (MLGCS) index, to evaluate airport runway roughness. Using ADAMS/Aircraft software, we first developed and validated a virtual prototype model of the Boeing B737-800 aircraft and then employed the model to predict the aircraft’s dynamic responses with regard to roughness. Using this prototype model and comparing it to the International Roughness Index (IRI) that is designed to evaluate roadway roughness, we established a landing gear cumulative stroke (LGCS) model to represent runway roughness. The results show that taxiing speed is an important factor using the LGCS model. According to the most unfavorable scenario, we determined the LGCS of the nose landing gear to be 100 km/h and that of the main landing gear to be 60 km/h. These results underscore that, based on correlation analysis, using the cumulative stroke of the main landing gear is more reasonable than using that of the nose landing gear to evaluate runway roughness. Furthermore, based on measured data for 37 runways, a comparison of commonly used roughness indices indicates that the MLGCS index proposed in this paper is superior to both the Boeing Bump Index and the IRI.

ACS Style

Shifu Liu; Jianming Ling; Yu Tian; Jinsong Qian. Assessment of aircraft landing gear cumulative stroke to develop a new runway roughness evaluation index. International Journal of Pavement Engineering 2021, 1 -12.

AMA Style

Shifu Liu, Jianming Ling, Yu Tian, Jinsong Qian. Assessment of aircraft landing gear cumulative stroke to develop a new runway roughness evaluation index. International Journal of Pavement Engineering. 2021; ():1-12.

Chicago/Turabian Style

Shifu Liu; Jianming Ling; Yu Tian; Jinsong Qian. 2021. "Assessment of aircraft landing gear cumulative stroke to develop a new runway roughness evaluation index." International Journal of Pavement Engineering , no. : 1-12.

Journal article
Published: 28 February 2021 in Applied Sciences
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Pavement evaluation is critical for the decision-making process of pavement preservation and rehabilitation. Roughness is a key airport pavement characteristic that has been linked to impacts such as safety and service life. The Boeing Bump is one of the few roughness evaluation methods that has been developed specifically for runways. Although it is superior to the widely used International Roughness Index (IRI), it does not take into account the superposition effect of continuous runway bumps. Based on the ADAMS/Aircraft virtual prototype platform, this paper establishes and verifies five typical models (B737, B747, B757, B777, and B787) and then analyzes the most unfavorable speed (in terms of aircraft vibration) of each model and the dynamic responses caused by multiple bumps. The original Boeing Bump is improved and optimized by determining dynamic response thresholds for the various aircraft types. The results show that the revised Boeing Bump is more realistic than the original version, especially with regard to medium and long wave bands.

ACS Style

Shifu Liu; Yu Tian; Le Liu; Peng Xiang; Zhekai Zhang. Improvement of Boeing Bump Method Considering Aircraft Vibration Superposition Effect. Applied Sciences 2021, 11, 2147 .

AMA Style

Shifu Liu, Yu Tian, Le Liu, Peng Xiang, Zhekai Zhang. Improvement of Boeing Bump Method Considering Aircraft Vibration Superposition Effect. Applied Sciences. 2021; 11 (5):2147.

Chicago/Turabian Style

Shifu Liu; Yu Tian; Le Liu; Peng Xiang; Zhekai Zhang. 2021. "Improvement of Boeing Bump Method Considering Aircraft Vibration Superposition Effect." Applied Sciences 11, no. 5: 2147.

Journal article
Published: 18 February 2021 in Sustainability
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Pavement roughness is a critical airport pavement characteristic that has been linked to impacts such as safety and service life. A properly defined roughness evaluation method would reduce airport operational risk, prolong the life of aircraft landing gear, and optimize the decision-making process for pavement preservation, which together positively contribute to overall airport sustainability. In this study, we optimized the parameters of the International Roughness Index (IRI) model to resolve the current poor correlation between the IRI and aircraft vibration responses in order to adapt and extend the IRI’s use for airport runway roughness evaluation. We developed and validated a virtual prototype model based on ADAMS/Aircraft software for the Boeing 737–800 and then employed the model to predict the aircraft’s dynamic responses to runway pavement roughness. By developing a frequency response function for the standard 1/4 vehicle model, we obtained frequency response distribution curves for the IRI. Based on runway roughness data, we used fast Fourier transform to implement the frequency response distribution of the aircraft. We then utilized Particle Swarm Optimization to determine more appropriate IRI model parameters rather than modifying the model itself. Our case study results indicate that the correlation coefficient for the optimized IRI model and aircraft vibration response shows a qualitative leap from that of the original IRI model.

ACS Style

Yu Tian; Shifu Liu; Le Liu; Peng Xiang. Optimization of International Roughness Index Model Parameters for Sustainable Runway. Sustainability 2021, 13, 2184 .

AMA Style

Yu Tian, Shifu Liu, Le Liu, Peng Xiang. Optimization of International Roughness Index Model Parameters for Sustainable Runway. Sustainability. 2021; 13 (4):2184.

Chicago/Turabian Style

Yu Tian; Shifu Liu; Le Liu; Peng Xiang. 2021. "Optimization of International Roughness Index Model Parameters for Sustainable Runway." Sustainability 13, no. 4: 2184.

Journal article
Published: 31 August 2019 in Construction and Building Materials
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Lateritic gravel is widely used for road construction and its mechanical properties have been explored in numerous laboratory tests. In this study, full-scale accelerated pavement testing was conducted to evaluate the long-term performance of pavements constructed with lateritic gravel as the subbase and base materials. Test Sections were constructed in a test tank and instrumented with temperature sensors, strain sensors, and moisture content sensors. This study investigated two asphalt layer thicknesses (5 cm and 10 cm) and three types of base materials (crushed stone, cement-lateritic gravel, and lateritic gravel blended with crushed stone) for comparative purposes. The test pavements all had a uniform subbase depth of 30 cm of raw lateritic gravel. The development of permanent deformation and cracking was recorded periodically. Based on measurements and observations, this study found that the crushed stone base performed better than the blended lateritic base in terms of rutting and cracking resistance and that rutting development was relatively less in the thicker (10 cm) asphalt layer than in the thinner (5 cm) layer. The cement-lateritic base developed the largest rutting and exhibited the earliest appearance of cracking among the three base types and showed the weakest behavior among these three bases.

ACS Style

Jinsong Qian; Kangwei Chen; Yu Tian; Feng Zeng; Lijun Wang. Performance evaluation of flexible pavements with a lateritic gravel base using accelerated pavement testing. Construction and Building Materials 2019, 228, 116790 .

AMA Style

Jinsong Qian, Kangwei Chen, Yu Tian, Feng Zeng, Lijun Wang. Performance evaluation of flexible pavements with a lateritic gravel base using accelerated pavement testing. Construction and Building Materials. 2019; 228 ():116790.

Chicago/Turabian Style

Jinsong Qian; Kangwei Chen; Yu Tian; Feng Zeng; Lijun Wang. 2019. "Performance evaluation of flexible pavements with a lateritic gravel base using accelerated pavement testing." Construction and Building Materials 228, no. : 116790.

Journal article
Published: 07 May 2019 in Construction and Building Materials
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This paper presents a new method that uses distributed optical vibration sensing (DOVS) technology and a neural network, which can access the concrete pavement support condition with lower cost and higher efficiency. This method relies on the vibration properties of the concrete pavement slabs, which was captured by an embedded DOVS system and extracted using the wavelet packet transform. Based on the extracted properties, a grading method that using probabilistic neural network (PNN) to assess the support condition was proposed. Through field tests, the accuracy of this method can reach 92.8% for 2-grade assessment and 81.4% for 3-grade assessment, respectively.

ACS Style

Hongduo Zhao; Difei Wu; Mengyuan Zeng; Yu Tian; Jianming Ling. Assessment of concrete pavement support conditions using distributed optical vibration sensing fiber and a neural network. Construction and Building Materials 2019, 216, 214 -226.

AMA Style

Hongduo Zhao, Difei Wu, Mengyuan Zeng, Yu Tian, Jianming Ling. Assessment of concrete pavement support conditions using distributed optical vibration sensing fiber and a neural network. Construction and Building Materials. 2019; 216 ():214-226.

Chicago/Turabian Style

Hongduo Zhao; Difei Wu; Mengyuan Zeng; Yu Tian; Jianming Ling. 2019. "Assessment of concrete pavement support conditions using distributed optical vibration sensing fiber and a neural network." Construction and Building Materials 216, no. : 214-226.

Journal article
Published: 08 April 2019 in Construction and Building Materials
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This study focuses on the critical responses of airfield composite pavements that are composed of hot-mix asphalt (HMA) overlay and Portland cement concrete (PCC) pavement. Accelerated pavement testing (APT) and a finite element (FE) method were employed to investigate the effects of three influential factors: temperature, interface bonding, and load level. A full-scale test field was constructed for this study and instrumented with 20 strain gauges and 32 temperature sensors. A finite element model was developed based on the parameters derived from laboratory and field tests and the model was then validated through measurements. The results indicate that longitudinal strain is more critical than transverse strain in an HMA overlay when subjected to moving loads. Moreover, the results underscore that temperature significantly affects the responses of HMA overlays and that the relationship between temperature and pavement responses is sigmoidal. Furthermore, a good interface bonding is able to significantly reduce the critical strain in an HMA overlay and the interface bonding strength is very sensitive to the amount of tack coat. The positive strain near to the surface of HMA overlay is due to high compressive stress, which is different from the tensile strain used in fatigue testing.

ACS Style

Jianming Ling; Fulu Wei; Hongduo Zhao; Yu Tian; Bingye Han; Zhi'ang Chen. Analysis of airfield composite pavement responses using full-scale accelerated pavement testing and finite element method. Construction and Building Materials 2019, 212, 596 -606.

AMA Style

Jianming Ling, Fulu Wei, Hongduo Zhao, Yu Tian, Bingye Han, Zhi'ang Chen. Analysis of airfield composite pavement responses using full-scale accelerated pavement testing and finite element method. Construction and Building Materials. 2019; 212 ():596-606.

Chicago/Turabian Style

Jianming Ling; Fulu Wei; Hongduo Zhao; Yu Tian; Bingye Han; Zhi'ang Chen. 2019. "Analysis of airfield composite pavement responses using full-scale accelerated pavement testing and finite element method." Construction and Building Materials 212, no. : 596-606.