Abstract
This paper proposes an incipient assessment method for postconstruction settlement of highway subgrade by using statistical analysis approach with an improved static loading test method, time-extended loading test. The time-extended loading residual settlement Sr(t) and settlement rate Vs(t) are calculated from the field test data. The test procedure and the corresponding experimental validations are presented. Based on the field test data, a probabilistic model is built to bridge the final residual settlement and the actual postconstruction settlements. The proposed time-extended loading test based assessment system has been validated through three operating and well-documented road sections. According to the validation results, the construction quality can be accurately evaluated at an early stage and the corresponding remedial measures can be applied timely.
Highlights
Traditional incipient quality inspection methods for piledsoil composite subgrades of highways are not accurate enough
This paper proposes an incipient assessment method for postconstruction settlement of highway subgrade by using statistical analysis approach with an improved static loading test method, time-extended loading test
Ding Mingji [20] analyzed the relationships between the design parameters of the Cement Fly-Ash Gravel (CFG) piles and plates and the postconstruction settlement of a high-speed railway by using numerical simulation method
Summary
Traditional incipient quality inspection methods for piledsoil composite subgrades of highways are not accurate enough. Large postconstruction settlement can be detected and bridge bumps can be observed in lots of the road construction projects whose composite subgrades satisfied the traditional incipient quality inspection requirements [1,2,3]. Based on the field measurement from the time-extended loading test, the incipient assessment indexes have been developed through statistical analysis approaches. The main contributions of this paper can be concluded as follows: (1) a novel time-extended loading test is proposed in this paper for minimizing the construction condition impact and enhance the accuracy of the prediction results; (2) a probabilistic model for predicting the postconstruction settlement by using time extend loading test results is developed by using 38 field data with diverse construction conditions; (3) the proposed method and indexes have been validated through three operated road sections
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