L
Li Xi
Researcher at Changsha University of Science and Technology
Publications - 7
Citations - 138
Li Xi is an academic researcher from Changsha University of Science and Technology. The author has contributed to research in topics: Deflection (engineering) & Torque sensor. The author has an hindex of 2, co-authored 7 publications receiving 101 citations.
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The NOx Degradation Performance of Nano-TiO2 Coating for Asphalt Pavement
TL;DR: The results show that the nano-TiO2 coating material has good photocatalytic degradation performance, and the proper amount of silane coupling agent can enhance the bonding performance of the material and asphalt mixture.
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Time-Domain Analysis of Tamper Displacement during Dynamic Compaction Based on Automatic Control
TL;DR: In this article, a continuous mathematical model capturing the time-domain process of tamper displacement is presented, and a concept of the crater depth ratio is proposed based on the proposed model, and the concept is used to evaluate the efficiency of dynamic compaction and to predict the optimum tamping number.
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Study on pollution characteristics of urban pavement runoff.
TL;DR: In this paper, the characteristics of particle size distribution of road-deposited sediment (RDS) were analyzed and the variation of pollutants with RDS content was presented based on continuous sampling of runoff.
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Evaluation of different modulus input on the mechanical responses of asphalt pavement based on field measurements
TL;DR: In this paper, the authors evaluated the field mechanical response and the calculations mechanical response of finite element method (FEM) with different moduli input were evaluated in this research, and they indicated that a specific modulus should be selected to ensure the calculated value effectively reflect the measured mechanical response.
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A Unified Strength Model of Asphalt Mixture Considering Temperature Effect
TL;DR: In this paper, a strength model considering the effect of temperature is presented, based on unified strength theory (UST), and the results showed that the UST parameters of tensile-compression strength ratio α and failure criterion parameter b have a linear relationship with temperature t. The developed model was validated via applicability analysis.