scholarly journals Laboratory and Centrifuge Model Tests on Influence of Swelling Rock with Drying-Wetting Cycles on Stability of Canal Slope

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Chen Zhang ◽  
Zheng-yin Cai ◽  
Ying-hao Huang ◽  
Hao Chen
Keyword(s):  
Fractal Dimension ◽  
Slope Failure ◽  
Soft Rock ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Drying Process ◽  
Surface Cracking ◽  
Centrifuge Model ◽  
Swelling Rock ◽  
Centrifuge Model Tests

This study focused on the swelling behavior of swelling rock from canal basement under multiple drying-wetting (D-W) cycles. A series of laboratory tests were conducted on a swelling rock, with the cracking and strength behaviors investigated. By using image-processing technique, the crack patterns were described, and then quantitatively analyzed on the basis of the fractal dimension. The experimental data indicated that swelling ability, including cracking level, fractal dimension, and strength, decrease with increasing drying and wetting cycle. On this basis, a series of centrifuge model simulations for simulating slope failure by drying-wetting cycles were performed, where the drying process was achieved by heat bulbs. The monitoring results suggested that a global slope failure has occurred after total cycle of 4th corresponding to 4 years. Due to the development of surface cracking, the infiltration in the slope was severe and nonuniform in space and time. Meanwhile, the failure mechanism of soft rock slope induced by D-W was discussed.

Centrifuge Model Tests on Seismic Slope Failure

2012 ◽  
pp. 501-510 ◽  
Author(s):  
Chiharu Mikuni ◽  
Satoshi Tamate ◽  
Tomohito Hori ◽  
Naoaki Suemasa
Keyword(s):  
Slope Failure ◽  
Model Tests ◽  
Centrifuge Model ◽  
Centrifuge Model Tests

scholarly journals Analysis of cassava chip image characterization during drying process

2021 ◽  
Vol 924 (1) ◽  
pp. 012016
Author(s):  
Sandra ◽  
Y Hendrawan ◽  
R Damayanti ◽  
L P R Perdana
Keyword(s):  
Food Processing ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Drying Process ◽  
Monitoring Method ◽  
Digital Image Processing Technique ◽  
Image Characteristics ◽  
Image Characteristic ◽  
Color Data ◽  
Image Pixels

Abstract Monitoring method during food processing is an indispensable activity in the industry of food processing. A digital image processing technique is one of the methods to process images into information in the form of product physical condition. This study aimed to monitor the changes in cassava chips image characteristics through the images along the drying process. The image characteristic i.e covered color, texture, and area. The images were captured by using Webcam type Logitech C525 8.0 megapixel autofocus per minute. Then, the result of these images was processed to get color data of R, G, B, H, S, I, L, a*, b* and the texture i.e. energy, homogeneity, contrast, entropy, and to identify chips size was processed by the number of pixels of the image. While the data about the mass changes along the drying process were taken per minute from a digital scale. The results of this study showed that the length of drying made the value of R, G, B, H and I decreased, but the value of S contrastively increased. The area or the number of image pixels declined dramatically in 1 hour of drying, later (after one hour of drying) the decline was almost zero.

scholarly journals Dynamic centrifuge model tests and material point method analysis of the impact force of a sliding soil mass caused by earthquake-induced slope failure

2019 ◽  
Vol 59 (6) ◽  
pp. 1813-1829 ◽  
Author(s):  
Susumu Nakajima ◽  
Keita Abe ◽  
Masahiro Shinoda ◽  
Susumu Nakamura ◽  
Hidetaka Nakamura ◽  
...  
Keyword(s):  
Slope Failure ◽  
Impact Force ◽  
Material Point Method ◽  
Soil Mass ◽  
Material Point ◽  
Centrifuge Model ◽  
The Impact ◽  
Method Analysis ◽  
Sliding Soil ◽  
Centrifuge Model Tests

scholarly journals Determining soil water characteristic curve of lime treated loess using multiscale structure fractal characteristic

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Xiaojun Li ◽  
Chenzhi Hu ◽  
Fengyan Li ◽  
Hongling Gao
Keyword(s):  
Fractal Dimension ◽  
Soil Water ◽  
Transition Region ◽  
Characteristic Curve ◽  
Processing Technique ◽  
Matric Suction ◽  
Image Processing Technique ◽  
Soil Water Characteristic Curve ◽  
Saturation Region ◽  
The Difference

AbstractSoil–Water characteristic Curve (SWCC) is meant to describe the mechanical behavior of unsaturated soil. The present paper focuses on the internal multi-scale microstructure of Xining untreated loess and lime-treated loess with the use of scanning electron microscopy (SEM) and image processing technique. A new SWCC model was presented based on the fractal dimension of pore size distribution. The SWCC of untreated loess was calculated from fractal dimension and fitted well with curve tested from Fredlund SWCC device. The SWCC of lime-treated loess was then calculated. Two curves of Xining untreated loess and lime-treated loess have been compared and reasons for the difference have also been discussed. The results indicate that the content of large pores in lime-treated loess decreased and the content of micro-pore increased. The bracket pores were changed into cement pores. The pore fractal dimension D of Xining untreated loess is 1.39 and the pore fractal dimension D of Xining lime-treated loess is 1.53. Air-entry value of untreated loess is 12.16 kPa, while lime-treated Loess—35.15 kPa. In transition region, matric suction of lime-treated loess was in the range of 35.15 kPa ~ 4000 kPa, while matric suction of untreated loess—12.16 kPa ~ 2600 kPa. The range of the transition region in lime-treated loess is larger than that in the loess, while in the range of saturation region, the reverse applies. Under the condition of the same matrix suction, the saturation of lime-treated loess is greater than that of untreated loess. In the residual region, the difference of SWCC of soil samples is small.

Study of Soil Responses Adjacent to Jack-Up Spudcan Foundation

2010 ◽  
Author(s):  
Yi Xie ◽  
C. F. Leung ◽  
Y. K. Chow
Keyword(s):  
Soft Clay ◽  
Digital Camera ◽  
Extraction Process ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Image Velocimetry ◽  
Adjacent Field ◽  
Jack Up ◽  
Soil Responses ◽  
Centrifuge Model Tests

Centrifuge model tests have been conducted to investigate the soil responses during penetration, jack-up rig operation and extraction of a jack-up spudcan foundation in soft clay. The penetration and extraction process of a half-cut spudcan were captured by a digital camera at 100g. Image processing technique involving Particle Image Velocimetry was then applied to evaluate the induced soil movements in the adjacent field of the moving spudcan. The development of pore pressures adjacent to the spudcan was also monitored.

Fractal dimension analysis of void size in wood-strand composites based on X-ray computer tomography images

Holzforschung ◽  
2013 ◽  
Vol 67 (2) ◽  
pp. 177-182 ◽  
Author(s):  
Peng Li ◽  
Qinglin Wu ◽  
Yubo Tao
Keyword(s):  
Fractal Dimension ◽  
Computer Tomography ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Additional Parameter ◽  
Void Size ◽  
Porosity Level ◽  
X Ray ◽  
Dimension Analysis ◽  
Computer Image Processing

Abstract Oriented strandboards were constructed from various combinations of mixed hardwood flakes. Fractal dimension of void size (FDVS) in the manufactured samples was studied by means of X-ray computer tomography images and a computer image processing technique. The FDVS value was high in the panel surface layers and decreased toward the panel center, and the FDVS decrement was linear to increased porosity. At the same overall porosity level, the FDVS varied as function of void distribution. FDVS could be a useful additional parameter for characterizing the internal void structure of strand-based wood composites.

scholarly journals Dynamic behavior of pile-supported wharves by slope failure during earthquake via centrifuge tests

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Jung-Won Yun ◽  
Jin-Tae Han
Keyword(s):  
Slope Failure ◽  
Inertial Force ◽  
Horizontal Displacement ◽  
Retaining Walls ◽  
Inertial Forces ◽  
Ground Model ◽  
Centrifuge Model ◽  
Centrifuge Tests ◽  
Deck Plate ◽  
Centrifuge Model Tests

AbstractThe effects of earthquakes on pile-supported wharves include damage to piles by inertial forces acting on the superstructure, and damage caused by horizontal displacement of retaining walls. Piles can also be damaged through kinematic forces generated by slope failure. Such forces are significant but it is difficult to clearly explain pile damage during slope failure since the inertial force of superstructure and the kinematic force by slope failure can occur simultaneously during an earthquake. In this study, dynamic centrifuge model tests were performed to evaluate the effect of the kinematic force of the ground due to slope failure during earthquake on the behavior of a pile-supported wharf structure. Experimental results indicate that the slope failure in the inclined-ground model caused the deck plate acceleration and pile moment to be up to 24% and 31% respectively greater than those in the horizontal-ground model due to the kinematic force of the ground.

A New Image Processing Technique for STEM

1974 ◽  
Vol 32 ◽  
pp. 432-433
Author(s):  
Yasushi Kokubo ◽  
Hirotami Koike ◽  
Teruo Someya
Keyword(s):  
Electron Microscopy ◽  
Image Processing ◽  
Scanning Electron Microscopy ◽  
Elastic Scattering ◽  
Field Emission ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Energy Analyzer ◽  
Scanning Microscope ◽  
Scanning Electron

One of the advantages of scanning electron microscopy is the capability for processing the image contrast, i.e., the image processing technique. Crewe et al were the first to apply this technique to a field emission scanning microscope and show images of individual atoms. They obtained a contrast which depended exclusively on the atomic numbers of specimen elements (Zcontrast), by displaying the images treated with the intensity ratio of elastically scattered to inelastically scattered electrons. The elastic scattering electrons were extracted by a solid detector and inelastic scattering electrons by an energy analyzer. We noted, however, that there is a possibility of the same contrast being obtained only by using an annular-type solid detector consisting of multiple concentric detector elements.

A Comparative Study of Ant and Genetic Algorithms in Digital Mammography

2018 ◽  
pp. 194-200
Author(s):  
J. Magelin Mary ◽  
Chitra K. ◽  
Y. Arockia Suganthi
Keyword(s):  
Genetic Algorithm ◽  
Image Processing ◽  
Medical Image ◽  
Medical Image Processing ◽  
Processing Technique ◽  
Input Image ◽  
Image Processing Technique ◽  
Computational Time ◽  
Image Mining ◽  
The Individual

Image processing technique in general, involves the application of signal processing on the input image for isolating the individual color plane of an image. It plays an important role in the image analysis and computer version. This paper compares the efficiency of two approaches in the area of finding breast cancer in medical image processing. The fundamental target is to apply an image mining in the area of medical image handling utilizing grouping guideline created by genetic algorithm. The parameter using extracted border, the border pixels are considered as population strings to genetic algorithm and Ant Colony Optimization, to find out the optimum value from the border pixels. We likewise look at cost of ACO and GA also, endeavors to discover which one gives the better solution to identify an affected area in medical image based on computational time.

An Enhanced Technique for Classification of Fruits using Shape Color and Texture Features

2017 ◽  
Vol 7 (7) ◽  
pp. 408
Author(s):  
Yashpal Jitarwal ◽  
Tabrej Ahamad Khan ◽  
Pawan Mangal
Keyword(s):  
Image Processing ◽  
Texture Features ◽  
Automatic Classification ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Advance Technique ◽  
Time Required ◽  
Fruit Sorting ◽  
Human Inspection

In earlier times fruits were sorted manually and it was very time consuming and laborious task. Human sorted the fruits of the basis of shape, size and color. Time taken by human to sort the fruits is very large therefore to reduce the time and to increase the accuracy, an automatic classification of fruits comes into existence.To improve this human inspection and reduce time required for fruit sorting an advance technique is developed that accepts information about fruits from their images, and is called as Image Processing Technique.

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