Pile driving, a dynamic penetration test?

2021 ◽  
pp. 223-228
Author(s):  
F.B.J. Barends ◽  
H.L. Koning
Keyword(s):  
Pile Driving ◽  
Penetration Test ◽  
Dynamic Penetration

scholarly journals ANALISIS PERENCANAAN TEBAL PERKERASAN JALAN LENTUR PADA RUAS JALAN MAGELANG-SEMARANG

2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Ria Miftakhul Jannah ◽  
Dedy Firmansyah ◽  
Ali Murtopo
Keyword(s):  
Penetration Test ◽  
Data Volume ◽  
Dynamic Penetration

<p>Pada perencanaan perkerasan jalan, tanah merupakan pondasi dasar yang sangat memegang peranan penting. Salah satu data tanah yang dibutuhkan dalam perencanaan pondasi perkerasan jalan adalah nilai CBR tanah. Nilai CBR tanah dapat diperoleh dengan melakukan Uji Dynamic Penetration Test (DCP). Penelitian ini dilakukan pada jalan Magelang-Semarang. Data sekunder berupa data CBR, peta lokasi dan curah hujan. Sedangkan data primer berupa data volume lalu lintas dan kondisi eksisting lokasi studi. Data yang diperoleh kemudian dihitung menggunakan Metode Bina Marga 1987. Dari hasil perhitungan didapat nilai lapisan permukaan diperoleh tebal 7,5 cm. Lapisan Pondasi Atas diperoleh tebal 20 cm. Lapisan Pondasi Bawah diperoleh tebal 16 cm.</p>

Discussion: The Dynamic Penetration Test: A Standard that is not Standardized

Géotechnique ◽  
1970 ◽  
Vol 20 (4) ◽  
pp. 452-456 ◽  
Author(s):  
H. O. Ireland ◽  
O. Moretto ◽  
M. Vargas
Keyword(s):  
Penetration Test ◽  
Dynamic Penetration

Field experimental investigation on filling the soda residue soil with liquid soda residue and liquid fly ash

2020 ◽  
pp. 105678952095042
Author(s):  
Xiaoyu Bai ◽  
Jiaxiao Ma ◽  
Junwei Liu ◽  
Mingyi Zhang ◽  
Nan Yan ◽  
...  
Keyword(s):  
Fly Ash ◽  
Water Content ◽  
Raw Materials ◽  
Field Tests ◽  
Dry Density ◽  
Penetration Test ◽  
Maximum Dry Density ◽  
Liquid Mixing ◽  
Optimal Mix ◽  
Dynamic Penetration

In order to reuse waste soda residue, the feasibility of utilizing liquid soda residue and liquid fly ash to prepare soda residue soil was investigated. The mechanical properties of the soda residue soil were studied and analyzed through laboratory tests and field tests. The raw materials preparation process and liquid-liquid mixing method in the field were determined, and the optimal mixing proportion of the soda residue soil was investigated by compaction test and micro penetration test. And the filling quality of the liquid-liquid mixing and solid-liquid soda residue soil was measured by micro penetration test, light dynamic penetration test, and variable energy dynamic penetration test. The test results showed that the optimal mass ratio of soda residue to fly ash is 7:3. The optimal water content and maximum dry density of the soda residue soil with the optimal mix ratio are 63.5% and 0.88 g/cm3, respectively. After 5 months of natural drying, the soda residue soil filled by liquid soda residue and liquid fly ash has higher strength and better uniformity of hardness. The water content of the soda residue soil is between 160% to 180%, and drainage consolidation is the effective method to reduce the water content and improve the strength of the soda residue soil. Compared with the method of preparing the soda residue soil by solid mixing, the method used in this experiment is simple, efficient and feasible.

scholarly journals Numerical verification of the continuous calculation method for tip stress during the driving process of the dynamic penetration test

2019 ◽  
Vol 59 (6) ◽  
pp. 2348-2355
Author(s):  
Quoc Ahn Tran ◽  
Bastien Chevalier ◽  
Miguel Angel Benz-Navarrete ◽  
Pierre Breul ◽  
Roland Gourvès
Keyword(s):  
Calculation Method ◽  
Numerical Verification ◽  
Penetration Test ◽  
Dynamic Penetration

A Neural Network Model for Evaluating Gravel Liquefaction Using Dynamic Penetration Test

2013 ◽  
Vol 275-277 ◽  
pp. 2620-2623
Author(s):  
Qing Xu ◽  
Fei Kang ◽  
Jun Jie Li
Keyword(s):  
Neural Networks ◽  
Earthquake Engineering ◽  
Soil Liquefaction ◽  
Soil Parameters ◽  
Success Rates ◽  
Penetration Test ◽  
Liquefaction Potential ◽  
Gravelly Soil ◽  
Gravelly Soils ◽  
Dynamic Penetration

Evaluation of liquefaction potential of soils is important in geotechnical earthquake engineering. Significant phenomena of gravelly soil liquefaction were reported in 2008 Wenchuan earthquake. Thus, further studies on the liquefaction potential of gravelly soil are needed. This paper investigates the potential of artificial neural networks-based approach to assess the liquefaction potential of gravelly soils form field data of dynamic penetration test. The success rates for occurrence and non-occurrence of liquefaction cases both are 100%. The study suggests that neural networks can successfully model the complex relationship between seismic parameters, soil parameters, and the liquefaction potential of gravelly soils.

The Influence Factors Analysis on Heavy Cone Dynamic Penetration Test Method to Geotechnical Exploration in Gravel Soils

2013 ◽  
Vol 671-674 ◽  
pp. 315-322
Author(s):  
Mei Shan ◽  
Bin Yang ◽  
Ping Wu ◽  
Si Hao Mo
Keyword(s):  
City Planning ◽  
High Efficiency ◽  
Influence Factors ◽  
Test Method ◽  
Penetration Test ◽  
Foundation Soil ◽  
Factors Analysis ◽  
Gravel Soil ◽  
Dynamic Penetration

The cone dynamic penetration test is a kind of test method, which has the features of simple device, easy operation, great adaptability, high efficiency and it also is a continuous in-situ test method. But in the common geotechnical exploration activities, we found that bearing capacity of foundation is always larger than the measured value, by analysis to the blow count of cone dynamic penetration in the standard table. This article set the gravel soil geotechnical exploration of Guangxi province’s city planning exhibition center of China as the example, to start with the theory of cone dynamic penetration, and analysis the reason why there are the abnormal value in the dynamic penetration, furthermore, provide the relative error correction models for it. Finally, establish the rational relationship between dynamic penetration results and foundation soil mechanical parameters.

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