Soil‐Water Characteristics of the Low Liquid Limit Silt considering Compaction and Freeze‐Thaw Action

Yao, Yongsheng; Luo, Shenping; Qian, Junfeng; Li, Jue; Xiao, Hongbin

doi:10.1155/2020/8823666

Cited by 8 publications

(4 citation statements)

References 34 publications

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“…Taking the group of C-60 kPa as an example, the decreasing rates are 14.1%, 19.0%, and 25.4% when the deviator stress increases from 30 kPa to 55 kPa, 75 kPa, and 105 kPa, respectively. This is consistent with other findings [30,31]. In addition, the decreasing rate has a larger value at low deviator stress while a smaller decreasing amplitude can be found at high deviator stress, indicating that the resilient modulus has a dependence on the deviator stress.…”

Section: Effect Of Deviator Stresssupporting

confidence: 92%

Research on Resilient Modulus Prediction Model and Equivalence Analysis for Polymer Reinforced Subgrade Soil under Dry–Wet Cycle

Luan,

Lu,

2023

Polymers

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The subgrade soil of asphalt pavement is significantly susceptible to changes in moisture content, and therefore many projects introduce polymer-based reinforcement to ensure soil performance. This paper aims to incorporate a variable representing the dry–wet cycle into the prediction model of resilient modulus of polymer reinforced soil. The polymer adopted is a self-developed subgrade soil solidification material consisting of sodium dodecyl sulfate and polyvinyl oxide. The current resilient modulus prediction model is improved, notably involving the effects of the dry–wet cycle. Combined with finite element method (FEM) analysis, the actual stress state of pavement and the coupling effect of dry–wet cycle and vehicle load on the resilient modulus are studied. The deterioration in resilient modulus with the variation in seasonal climate and load response is also investigated. Results show that the deviator stress is negatively correlated with the resilient modulus while the bulk stress has a linearly positive relation. The decreasing rate at low deviator stress is larger than that at the high level. Moreover, the dry–wet cycle can reduce the resilient modulus and the reducing amplitude is the largest at the first dry–wet cycle. FEM analysis shows that the middle position of the subgrade slope has the largest initial resilient modulus with decreasing amplitude in the first year of dry–wet cycles, while the upper position shows a smaller change. The variation in resilient modulus is closely related to the changes in cumulative volumetric water content. Considering that different positions of subgrade bear the external vehicle load, the equivalent resilient modulus is more realistic for guiding the subgrade design.

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Section: Effect Of Deviator Stresssupporting

confidence: 92%

Research on Resilient Modulus Prediction Model and Equivalence Analysis for Polymer Reinforced Subgrade Soil under Dry–Wet Cycle

Luan,

Lu,

2023

Polymers

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“…Because the 𝐶𝑀𝑉 of acceleration type is the most widely used in compaction quality control of highway subgrade [3], the application potential of 𝐸 index of energy type for silt [1], and the difference in material properties of high and low liquid limit silt [29,30], this paper selects 𝐶𝑀𝑉 and 𝐸 as potentially available RICM index, and further confirm its applicability to high and low liquid limit silt through comparative study. Based on the combination of RICM technology and RTK-BDS, a real-time compaction quality assessment method for highway subgrade materials is proposed to solve the problems existing in the conventional QC method.…”

Section: Introductionmentioning

confidence: 84%

Roller-integrated compaction monitoring and assessment of high and low liquid limit silt subgrades using the Green spline interpolation algorithm

Yan,

Zhu,

Yang

et al. 2024

Journal of Intelligent Construction

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The compaction quality plays a vital role in the long-term performance of highways, thereby making it an essential aspect. The prevalent approach for compaction quality control (QC) primarily depends on manual manipulation of compaction parameters during the construction process and sporadic testing after the completion. However, the former is greatly affected by human factors, while the latter method entails destructive detection, low efficiency, and fails to provide a comprehensive representation of the compaction state across the entire work area. This paper utilized roller-integrated compaction monitoring (RICM) technology combined with Real-Time Kinematic-BeiDou Navigation Satellite System (RTK-BDS). Initially, the compaction meter value (𝐶𝑀𝑉) and compaction power per unit volume (𝐸) were chosen as the real-time monitoring indexes for assessing the quality of compaction. Subsequently, a case study on the Hengyong Highway Project in China was conducted. The findings revealed that 𝐶𝑀𝑉 exhibits a stronger correlation with compactness, resulting in smaller data dispersion and higher data stability. Thus, this paper chose 𝐶𝑀𝑉 as the characterization index of the compaction quality of high and low liquid limit silt subgrade, and built a fast compaction quality assessment method based on 𝐶𝑀𝑉 and Green spline interpolation algorithm to obtain estimates for compaction quality on the entire work area, enabling QC of silt subgrade. The verification results validate that the proposed method facilitates a swift and uninterrupted evaluation of the compaction quality throughout the entire construction area. This serves as a fundamental basis for effectively preventing quality defects and enhancing the overall quality of highways.

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“…Given the lack of carrying capacity, the subgrade is permanently deformed, resulting in various problems on the road surface, such as subsidence and ruts [20]. is kind of engineering problem is closely related to the moisture content and migration law in soil [21]. e researchers aim to solve this engineering problem by performing in situ monitoring and a water migration model test to calibrate the moisture content of subgrade soil and its evolution mechanism evaluation.…”

Section: Introductionmentioning

confidence: 99%

Multifactor Analysis of Calibration and Service Quality of the Soil Moisture Sensor Applied in Subgrade Engineering

Xiao¹,

Bai²,

Wang³

2021

Advances in Materials Science and Engineering

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The soil is an important natural resource, and its moisture status plays a key role in the strength and stability of the soil structure. In civil industries including the agriculture engineering and the forestry engineering, moisture sensors are widely used to test and monitor the engineering properties and long-term service performance of soil. The influence of multiple factors on the quality and the accuracy of the soil moisture sensor should be taken into account. Both laboratory and field tests were performed by the time-domain reflectometry (TDR) method. The soil dielectric constant and magnetic permeability under different moisture contents, different temperatures, and different dry densities were comprehensively evaluated. At the same time, the sensitive factors in the service performance of the TDR sensor have been revealed by the real state of tested soil samples. Based on the testing principle of TDR, a calibration calculation model has been developed to evaluate accurately the moisture content of the subgrade slope. The results show that both the moisture content and the dry density had a significant influence on the dielectric constant and the magnetic permeability of soil. The developed calculation model has a good fitting effect and stability. Through the model, the influence of moisture content and temperature on the soil dielectric constant has been analyzed, and the fitting goodness is above 90%. After half a year of settlement, the soil was gradually drained and consolidated, and the moisture content of the subgrade section gradually decreased. It verified that the monitoring method determined by the laboratory calibration test was effective and accurate.

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Soil‐Water Characteristics of the Low Liquid Limit Silt considering Compaction and Freeze‐Thaw Action

Cited by 8 publications

References 34 publications

Research on Resilient Modulus Prediction Model and Equivalence Analysis for Polymer Reinforced Subgrade Soil under Dry–Wet Cycle

Research on Resilient Modulus Prediction Model and Equivalence Analysis for Polymer Reinforced Subgrade Soil under Dry–Wet Cycle

Roller-integrated compaction monitoring and assessment of high and low liquid limit silt subgrades using the Green spline interpolation algorithm

Multifactor Analysis of Calibration and Service Quality of the Soil Moisture Sensor Applied in Subgrade Engineering

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