scholarly journals Quality Assessment of Dry Soil Mixing Columns in Soft Soil Areas of Eastern China

2021 ◽  
Vol 11 (21) ◽  
pp. 9957
Author(s):  
Huangsong Pan ◽  
Guangyin Du ◽  
Han Xia ◽  
Haiyuan Wang ◽  
Da Qin

To investigate the quality of dry soil mixing (DSM) columns in different soft soil areas of east China, a large number of laboratory test results and field test results of DSM columns were collected and analyzed statistically. Furthermore, a quality assessment method for DSM columns is proposed in this paper. The hardness description (HD), standard penetration test (SPT), unconfined compressive strength (UCS), and soil-cement column quality designation (SCQD) are used as assessment indexes. The statistical analysis showed that the test results of SPT, UCS, and SCQD were scattered, particularly in shallow ground. The mean values of the SPT blow count, UCS, and SCQD of the DSM columns decreased with depth: the greater the depth, the worse the quality of DSM columns. The quality assessment results showed that the proportion of the great quality columns was 64.84%, and the proportion of the unqualified columns was 1.4%. The proportion of DSM columns with great quality in the lagoon soft soil area was greater than in other areas. The proportion of unqualified columns in the lacustrine soft soil area was the largest. For all soft soil areas, the proportions of great quality, good quality, general quality, and unqualified soil decreased in that order. The quality assessment of 8627 DSM columns showed the proportions of great quality and unqualified were 64.84% and 1.4%, respectively. It was found that the greater the depth of the DSM column, the more unqualified DSM columns, and the more difficult it was to control the quality of DSM columns.

Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Min Zhang ◽  
Tao Qiu

Relying on the geotechnical engineering survey project of Nanjing Lukou Airport, this research adopts the method of combining in situ and indoor testing to analyze the coefficient of soil foundation under different conditions (flow plastic, plastic, and soft plastic). Based on the differences in test results, in situ and indoor test methods appropriate for the benchmark bed coefficient of Nanjing soft soil area are proposed. Research findings depicted that the bed coefficients obtained by different methods are not similar; therefore, if the data obtained by different methods need to be compared and analyzed, they have to be unified as K 30 . Simultaneously, in the indoor test, this study compared the foundation bed coefficient obtained by the consolidation method, the improved K 0 instrument consolidation method, and the triaxial method. Results revealed that the improved K 0 instrument consolidation method can better realize the test of the soil foundation coefficient. This study can provide a reference for geotechnical investigation and design of soft soil in the study area.


2014 ◽  
Vol 74 (2) ◽  
pp. 1007-1020 ◽  
Author(s):  
Zhen-Dong Cui ◽  
Shi-Xi Ren

Author(s):  
Yao Shan ◽  
Jiawei Zhang ◽  
Shunhua Zhou ◽  
Quanmei Gong ◽  
Binglong Wang

2018 ◽  
Vol 1145 ◽  
pp. 8-16 ◽  
Author(s):  
Jing Rui Guo ◽  
Xian Chang Zheng ◽  
Ji Qing Zhang ◽  
Zhi Meng Zhao

The EVP model is an available method to apply to the vertical settlement of soft soil consolidation calculation and analysis. Compared with Visco-Plasticity model, it shows more consistent with the actual stress conditions of the soil. In this paper, We have extracted soil samples in BinHai garden for assay. Then through the comparison with calculating results and a long-time engineering monitoring in BinHai garden soft soil area, a feasibility EVP model study on the vertical settlement in soft soil area is peoposed. Further a consequent sedimentation forecast was made according with the EVP model calculation. In the end, the settlement influence from creep was analyzed through one-dimensional consolidation theory.


2015 ◽  
Vol 34 (5) ◽  
pp. 486-492 ◽  
Author(s):  
Jun Tan ◽  
Zhen-Dong Cui ◽  
Li Yuan

2020 ◽  
Vol 28 (2) ◽  
pp. 129-145 ◽  
Author(s):  
Shunhua Zhou ◽  
Binglong Wang ◽  
Yao Shan

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