scholarly journals Study of the Rainfall Infiltration Effect and Soil Strength Variation on Unsaturated Laterite Terraces

2019 ◽  
Author(s):  
Shao-Hung Chung
Keyword(s):  
Soil Strength ◽  
Rainfall Infiltration ◽  
Strength Variation

Calibration of Mobilized Soil Strength During Installation of Suction Piles

2006 ◽  
Author(s):  
E. C. Burg ◽  
B. A. Frankl ◽  
L. M. Metz ◽  
S. Bang
Keyword(s):  
Soil Strength ◽  
Suction Pressure ◽  
Lateral Loads ◽  
Dimensional Parameter ◽  
Pile Installation ◽  
Strength Variation ◽  
Pile Penetration ◽  
Southern Korea

An innovative breakwater system has been introduced for use in areas with thick soft seafloor, utilizing suction piles as the foundations. Gravity-type concrete caissons are placed on top, which resist the lateral loads caused by the wind and waves to protect the harbor behind. In Dec. 2004, four large concrete suction piles were prefabricated and installed successfully in southern Korea. During the installation of suction piles, detailed measurements were made on one pile, including the suction pressure vs. pile penetration relationship. They were used to estimate the mobilized soil strength during the suction pile installation. The calculated mobilized soil strength variation was then expressed as a function of a non-dimensional parameter that included the most essential parameters governing the behavior of suction piles during installation.

Evaluation of an improvement in runoff control by means of a construction of an infiltration sewer pipe under a porous asphalt pavement

1997 ◽  
Vol 36 (8-9) ◽  
pp. 397-402
Author(s):  
Yasuhiko Wada ◽  
Hiroyuki Miura ◽  
Rituo Tada ◽  
Yasuo Kodaka
Keyword(s):  
Numerical Simulation ◽  
Simulation Model ◽  
Asphalt Pavement ◽  
Considerable Effect ◽  
Rainfall Infiltration ◽  
Sewer Pipe ◽  
Porous Asphalt ◽  
Runoff Control

We examined the possibility of improved runoff control in a porous asphalt pavement by installing beneath it an infiltration pipe with a numerical simulation model that can simulate rainfall infiltration and runoff at the porous asphalt pavement. From the results of simulations about runoff and infiltration at the porous asphalt pavement, it became clear that putting a pipe under the porous asphalt pavement had considerable effect, especially during the latter part of the rainfall.

scholarly journals Structures and impact strength variation of chemically crosslinked high-density polyethylene: effect of crosslinking density

RSC Advances ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 6791-6797
Author(s):  
Yueqing Ren ◽  
Xiaojie Sun ◽  
Lanlan Chen ◽  
Yafei Li ◽  
Miaomiao Sun ◽  
...  
Keyword(s):  
Low Temperature ◽  
Impact Strength ◽  
High Density Polyethylene ◽  
Crosslinking Density ◽  
High Density ◽  
Strength Variation

Crosslinking significantly improves the toughness and impact strength of HDPE and extends its application, especially at low temperature.

Grazing winter rye cover crop in a cotton no‐till system: Soil strength and runoff

2021 ◽  
Author(s):  
Harry H. Schomberg ◽  
Dinku M. Endale ◽  
Kipling S. Balkcom ◽  
Randy L. Raper ◽  
Dwight H. Seman
Keyword(s):  
Cover Crop ◽  
Soil Strength ◽  
Winter Rye ◽  
No Till

scholarly journals Applicability of Fuzzy Logic and Artificial Neural Network for Unpaved Airfield Surface Bearing Strength Prediction

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3373
Author(s):  
Ludek Cicmanec
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Fuzzy Logic ◽  
Regression Function ◽  
Large Data ◽  
Soil Strength ◽  
Data Sets ◽  
Bearing Strength ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

The main objective of this paper is to describe a building process of a model predicting the soil strength at unpaved airport surfaces (unpaved runways, safety areas in runway proximity, runway strips, and runway end safety areas). The reason for building this model is to partially substitute frequent and meticulous inspections of an airport movement area comprising the bearing strength evaluation and provide an efficient tool to organize surface maintenance. Since the process of building such a model is complex for a physical model, it is anticipated that it might be addressed by a statistical model instead. Therefore, fuzzy logic (FL) and artificial neural network (ANN) capabilities are investigated and compared with linear regression function (LRF). Large data sets comprising the bearing strength and meteorological characteristics are applied to train the likely model variations to be subsequently compared with the application of standard statistical quantitative parameters. All the models prove that the inclusion of antecedent soil strength as an additional model input has an immense impact on the increase in model accuracy. Although the M7 model out of the ANN group displays the best performance, the M3 model is considered for practical implications being less complicated and having fewer inputs. In general, both the ANN and FL models outperform the LRF models well in all the categories. The FL models perform almost equally as well as the ANN but with slightly decreased accuracy.

scholarly journals Effect of Urease Enzyme on Shear Strength of Clay Shale

2018 ◽  
Vol 7 (4.36) ◽  
pp. 424 ◽  
Author(s):  
Maxwel Joseph Henri Nainggolan ◽  
Wiwik Rahayu ◽  
Puspita Lisdiyanti
Keyword(s):  
Shear Strength ◽  
Bearing Capacity ◽  
Triaxial Test ◽  
Clay Soil ◽  
Soil Strength ◽  
Clay Shale ◽  
Strength Performance ◽  
Enzyme Mixture ◽  
Urease Enzyme

In recent years, utilization of biotechnology in geotechnical field has rapidly grown. One of the biotechnologies being utilized is urease enzyme, a stabilization material by bio-cementation method studied in this research.  Urease enzyme is manually mixed with additional 10% of clay soil to clay shale. The objective of mixing it is to increase the bearing capacity of the clay shale. Consolidated undrained triaxial test was performed for testing the soil strength performance for samples that had undergone curing for 2, 4, and 6 weeks. The results indicated that the sample stiffens, proved by the increase of shear strength from consolidated undrained triaxial test. The shear strength value produced by the variation of the urease enzyme mixture + 10% the clay is higher than that of without the original clay shale.  

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