Compaction density evaluation of Soil-Rock mixtures by the additive mass method

2021 ◽  
Vol 306 ◽  
pp. 124882
Author(s):  
Sihong Liu ◽  
Siyuan Xu ◽  
Ping Wu ◽  
Liaorong Wan ◽  
Jianhua Li
Keyword(s):  
Density Evaluation ◽  
Compaction Density

scholarly journals Compaction Density Evaluation Model of Sand-Gravel Dam Based on Elman Neural Network With Modified Particle Swarm Optimization

2022 ◽  
Vol 9 ◽  
Author(s):  
Biao Liu ◽  
Yufei Zhao ◽  
Wenbo Wang ◽  
Biwang Liu
Keyword(s):  
Neural Network ◽  
Particle Size ◽  
Evaluation Model ◽  
Source Parameters ◽  
Material Source ◽  
Elman Neural Network ◽  
Swarm Optimization ◽  
Density Evaluation ◽  
The Impact ◽  
Compaction Density

The compaction density of sand-gravel materials has a strong gradation correlation, mainly affected by some material source parameters such as P5 content (material proportion with particle size greater than 5 mm), maximum particle size and curvature coefficient. When evaluating the compaction density of sand-gravel materials, the existing compaction density evaluation models have poor robustness and adaptability because they do not take into full consideration the impact of material source parameters. To overcome the shortcomings of existing compaction density models, this study comprehensively considers the impact of material source parameters and compaction parameters on compaction density. Firstly, asymmetric data were fused and a multi-source heterogeneous dataset was established for compaction density analysis. Then, the Elman neural network optimized by the adaptive simulated annealing particle swarm optimization algorithm was proposed to establish the compaction density evaluation model. Finally, a case study of the Dashimen water conservancy project in China is employed to demonstrate the effectiveness and feasibility of the proposed method. The results show that this model performs high-precision evaluation of the compaction density at any position of the entire working area which can timely correct the weak area of compaction density on the spot, and reduce the number of test pit tests.

Interface-State-Density Evaluation of p-type and n-type Ge/GeNx Structures by Conductance Technique

2013 ◽  
Vol 133 (7) ◽  
pp. 1279-1284
Author(s):  
Takuro Iwasaki ◽  
Toshiro Ono ◽  
Yohei Otani ◽  
Yukio Fukuda ◽  
Hiroshi Okamoto
Keyword(s):  
Interface State ◽  
State Density ◽  
Interface State Density ◽  
Conductance Technique ◽  
Density Evaluation ◽  
P Type

Crack Density Evaluation in Carbon Fibre Reinforced Polymers Aged by Thermal Cycling

2016 ◽  
Vol 53 (3) ◽  
pp. 125-143
Author(s):  
S. González ◽  
M. González ◽  
J. Dominguez ◽  
F. Lasagni
Keyword(s):  
Carbon Fibre ◽  
Thermal Cycling ◽  
Crack Density ◽  
Reinforced Polymers ◽  
Carbon Fibre Reinforced Polymers ◽  
Density Evaluation

scholarly journals Herbal mouthwash based on Libidibia ferrea: microbiological control, sensory characteristics, sedimentation, pH and density

2015 ◽  
Vol 44 (2) ◽  
pp. 118-124 ◽  
Author(s):  
Gisely Naura Venâncio ◽  
Isis Costa Rodrigues ◽  
Tatiane Pereira de Souza ◽  
Raquel de Oliveira Marreiro ◽  
Maria Fulgência Costa Lima Bandeira ◽  
...  
Keyword(s):  
Folk Medicine ◽  
Herbal Medicines ◽  
Mouth Diseases ◽  
Number Of Microorganisms ◽  
Microbiological Control ◽  
Density Values ◽  
Density Evaluation ◽  
Therapeutic Properties ◽  
And Staphylococcus Aureus

Introduction Phytotherapy is the study of herbal medicines and their applicability to cure diseases in general, being a therapeutic method which can be used for the prevention and treatment of mouth diseases. Among the herbal studied, the Libidibia ferrea, known as jucá or ironwood, is widely used in folk medicine by presenting anti-inflammatory, analgesic, antimicrobial and antipyretic therapeutic properties. Objective To evaluate in vitro pharmacological stability of the Libidibia ferrea extract’s mouthwash (INPA - 228 022). Material and method It was held the mouthwash microbiological control by determining the total number of microorganisms and Salmonella sp, Escherichia coli, Pseudomonas aeruginosa and Staphylococcus aureus; stability characteristics (color, odor, brightness and consistency), sedimentation test (centrifuge), the pH measurement (pH meter) and density evaluation (pycnometer) were analyzed. Result The mouthwash showed to be absent from microorganisms and no changes were observed in the organoleptics and sedimentation characteristics. The average pH values were 6.21, 6.15 and 5.85 at 0, 30 and 60 days, respectively, and 1.029, 1.033 and 1.035 g/ mL density values, respectively, without interfering with the final characteristic of the formulation. Conclusion The mouthwash presented pharmacological stability and quality conditions.

scholarly journals The Model for Dilution Process of Landslide Triggered Debris Flow —A Case of Guanba River in Tibet Southeastern Plateau

2018 ◽  
Vol 22 (2) ◽  
pp. 103-111 ◽  
Author(s):  
Jun Li ◽  
Ningsheng Chen
Keyword(s):  
Debris Flow ◽  
Water Flow ◽  
Debris Flows ◽  
Evaluation Model ◽  
Flow Density ◽  
Flow Section ◽  
Average Depth ◽  
Flow Discharge ◽  
Study Results ◽  
Density Evaluation

Understanding and modeling the downstream dilution process of a landslide triggered debris flow is the foundation for recognizing the boundary condition and dilution mechanism of this type of debris flow, and this serves as the theoretical basis for the categorized control of viscous debris flows, diluted debris flows, hyperconcentration flows and flash floods in a drainage basin. In this study, taking as an example a typical debris flow that occurred in the Guanba River on Tibet’s southeastern plateau on July 6th, 1998, empirical models are used to calculate the density, water flow discharge, debris flow discharge, average depth of loose materials and channel gradient at 11 cross-sections upstream to downstream in the debris flow. On this basis, the dilution characteristics and debris flow dilution process are analyzed in this study. According to the correlation between the debris flow density and the water-soil ratio and channel gradient, we have established the density evaluation model for the debris flow dilution process, which can predict the dilution process of a landslide triggered debris flow. The study results include the following four aspects: (1) The key factors in the dilution process of landslide triggered debris flows are the water flow discharge, average depth of loose materials and channel gradient. (2) The debris flow dilution characteristics in the Guanba River in 1998 include the occurrence of the debris flow dilution process after a significant increase in the water-soil ratio; an increase in the proportion of fine particles after dilution of the debris flow; and the size distribution of grain is “narrowed.” (3) In accordance with the density and dilution characteristics, the debris flow dilution process in the Guanba River can be divided into the upstream viscous debris flow section, midstream and downstream transitional debris flow section and downstream diluted debris flow section. (4) The density evaluation model for the debris flow dilution process is expressed by the Lorentz equation, and this model can reflect the debris flow dilution process such that the debris flow density will decrease gradually with an increase in the water-soil ratio and decrease in channel gradient. The density evaluation model for the debris flow dilution process has been verified by three debris flow cases, which include Gaoqiao Gully, Haizi Valley, and Aizi Valley

Sign in / Sign up

Export Citation Format

Share Document