This document discusses various physical properties of sediments and water-sediment mixtures. It defines key concepts like particle density, bulk density, porosity, void ratio, viscosity, and kinematic viscosity. It explains that particle density refers to the density of solid sediment particles, while bulk density includes pore spaces. Porosity and void ratio quantify the pore space. Viscosity and kinematic viscosity describe the resistance of fluids to flow, with kinematic viscosity being the ratio of dynamic viscosity to density. Newtonian mixtures have viscosities that do not depend on shear rate.
Sea Water Intrusion(SWI) in coastal areas :
1. Occurrence of seawater intrusion
2.Factors that affect coastal aquifer
3.Changes by hydrological regime
4.Problems due to SWI
5.Ghyben-Herzberg relation
6.Methods to detect SWI
7.Control measures
Sea Water Intrusion(SWI) in coastal areas :
1. Occurrence of seawater intrusion
2.Factors that affect coastal aquifer
3.Changes by hydrological regime
4.Problems due to SWI
5.Ghyben-Herzberg relation
6.Methods to detect SWI
7.Control measures
The subsurface occurrence of groundwater may be divided into zones of aeration and saturation. The vertical distribution of groundwater is explained in this module.
1. Ground Water Occurrence
2. Types of Aquifers
3. Aquifer Parameters
4. Darcy’s Law
5. Measurement of Coefficient of Permeability of Soil
6. Types of Wells
7. Well Construction
8. Well Development
River is a most Important agent in geological field and most important roll of the physical, Chemical and biological erosion. It is common factors of river.
Types of dams, geological considerations in site selection, Competency of Rocks to offer stable dam foundation, effect of geological structures on dam, selection of dam site, Reservoir, purpose of reservoir, influence of water table, geological structures, life of reservoir, geophysical studies
A pumping test is a field experiment in which a well is pumped at a controlled rate and water-level response (drawdown) is measured in one or more surrounding observation wells and optionally in the pumped well (control well) itself; response data from pumping tests are used to estimate the hydraulic properties of aquifers, evaluate well performance and identify aquifer boundaries.
It includes the definition, properties, classification of groundwater with appropriate examples and figures in details. It also deals about the formation of groundwater. The properties of aquifers (all of 7) are described here in details with figures and mathematical terms.
An aquifer is an underground layer of water-bearing rock. Water-bearing rocks are permeable, meaning that they have openings that liquids and gases can pass through. Sedimentary rock such as sandstone, as well as sand and gravel, are examples of water-bearing rock.
The subsurface occurrence of groundwater may be divided into zones of aeration and saturation. The vertical distribution of groundwater is explained in this module.
1. Ground Water Occurrence
2. Types of Aquifers
3. Aquifer Parameters
4. Darcy’s Law
5. Measurement of Coefficient of Permeability of Soil
6. Types of Wells
7. Well Construction
8. Well Development
River is a most Important agent in geological field and most important roll of the physical, Chemical and biological erosion. It is common factors of river.
Types of dams, geological considerations in site selection, Competency of Rocks to offer stable dam foundation, effect of geological structures on dam, selection of dam site, Reservoir, purpose of reservoir, influence of water table, geological structures, life of reservoir, geophysical studies
A pumping test is a field experiment in which a well is pumped at a controlled rate and water-level response (drawdown) is measured in one or more surrounding observation wells and optionally in the pumped well (control well) itself; response data from pumping tests are used to estimate the hydraulic properties of aquifers, evaluate well performance and identify aquifer boundaries.
It includes the definition, properties, classification of groundwater with appropriate examples and figures in details. It also deals about the formation of groundwater. The properties of aquifers (all of 7) are described here in details with figures and mathematical terms.
An aquifer is an underground layer of water-bearing rock. Water-bearing rocks are permeable, meaning that they have openings that liquids and gases can pass through. Sedimentary rock such as sandstone, as well as sand and gravel, are examples of water-bearing rock.
Intro Soils – Lab 2
Soil Texture, Density, and Porosity
o Lecture Materials: Soil Architecture and Physical Properties (Ch 4)
o Labs submitted without advised instructions will result in a 3 point deduction:
Proper document name (LastName_SoilsLab2)
Name included in document
Legible numbering and spacing including questions with answers
Use of spell and grammar check
o Submission Closes Sunday evening, February 5, 2016 with to Module 2.
o Labs submitted on or prior Monday, February 1, 2016 will receive feedback with the opportunity
to resubmit the lab. Do not miss out on a great opportunity to be ensure understanding of the
materials and increase your lab grade.
Lab 2 - Soil Texture, Density, and Porosity
Introduction
Soil physical properties greatly impact how soils behave. Outcomes of most agricultural as well
as engineering projects are often defined by the properties of the soil involved. Soils are made
of soil solids and pore space; the soil solids are made up mostly of minerals as well as organic
matter while the pore space is made up of air and water. Ideally, these two portions are in a
50/50 ratio (Figure 1). Soil physical properties describe the soil particles and the manner in
which they aggregate and are arranged. The following exercise will focus on soil texture, soil
density, and soil porosity.
Figure 1. Ideal soil composition (Text Figure 1.18)
Soil Texture
Soil texture is the proportion of the different sized particles in soil. Only the fine earth fraction
of sand, silt, and clay are included. There are two methods for determining texture in soils by
feel and mechanistically using particle size analysis. Neither the coarse fraction greater than
2mm in diameter nor organic matter are included in textural analysis. In the previous lab
exercise, soil texture was estimated by feel. The particle size analysis procedure via mechanical
means is accomplished using a Bouyoucos hydrometer and calculated using Stokes Law. Stokes
law establishes a relationship between particle size and sedimentation. The velocity by which a
particle fall through a liquid is proportional to the gravitational force and the square of the
effective particle diameter. In other words, ‘the bigger they are, the faster they fall’. When
the soil is dispersed, the larger, sand particles will settle or fall to the bottom of a liquid faster
than silts or clays.
When conducting this experiment in the lab, the first task it to remove the coarse fraction from
the soil sample which is generally done by sieving (2mm). Soil particles want to stay together;
the soil separates and their aggregates do not easily separate. In order to achieve separation
both mechanical and chemical intervention is needed. Sieving removed large portions of the
organic matter, but it still is a significant agent in the binding of soil particles together, so
hydrogen peroxide is al ...
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...
Physical properties of sediments and water sediment mixture
1. Physical Properties of sediments
and water sediment mixture
Lecture 3
Jyoti Khatiwada
Roll no. 10
2. Mass Density and specific wt of solid
particles
• The particle density or true density of a
particulate solid or powder, is the density of the
particles that make up the powder, in contrast to
the bulk density, which measures the average
density of a large volume of the powder in a
specific medium (usually air).
• These mass and volume definitions can be used
to define the concepts of soil particle density,
bulk (dry) soil density, and total (wet)
soil density.
3. • Density represents weight (mass) per unit volume of a substance.
• Density = Mass / Volume
• Soil density is expressed in two well accepted concepts as particle density
and bulk density. In the metric system, particle density can be expressed in
terms of mega grams per cubic meter (Mg/m3). Thus if 1 m3 of soil solids
weighs 2.6 Mg, the particle density is 2.6 Mg / m3 (since 1 Mg =1 million
grams and 1 m3 =1 million cubic centimeters) thus particle density can
also be expressed as 2.6 g / cm3.
• Particle Density: The weight per unit volume of the solid portion of soil is
called particle density. Generally particle density of normal soils is 2.65
grams per cubic centimeter. The particle density is higher if large amount
of heavy minerals such as magnetite; limonite and hematite are present in
the soil. With increase in organic matter of the soil the particle density
decreases. Particle density is also termed as true density.
Textural
classes
Particle density
( g/ cm3)
Coarse sand 2.655
Fine sand 2.659
Silt 2.798
Clay 2.837
4. • Bulk Density: The oven dry weight of a unit volume of soil inclusive of pore spaces
is called bulk density. The bulk density of a soil is always smaller than its particle
density. The bulk density of sandy soil is about 1.6 g / cm3, whereas that of organic
matter is about 0.5. Bulk density normally decreases, as mineral soils become finer
in texture. The bulk density varies indirectly with the total pore space present in
the soil and gives a good estimate of the porosity of the soil. Bulk density is of
greater importance than particle density in understanding the physical behavior of
the soil. Generally soils with low bulk densities have favorable physical conditions.
• Factors affecting bulk density
• 1. Pore space: Since bulk density relates to the combined volume of the solids and
pore spaces, soils with high proportion of pore space to solids have lower bulk
densities than those that are more compact and have less pore space.
Consequently, any factor that influences soil pore space will affect bulk density.
• 2. Texture: Fine textured surface soils such as silt loams, clays and clay loams
generally have lower bulk densities than sandy soils. This is because the fine
textured soils tend to organize in porous grains especially because of adequate
organic matter content. This results in high pore space and low bulk density.
However, in sandy soils, organic matter content is generally low, the solid particles
lie close together and the bulk density is commonly higher than in fine textured
soils.
• 3. Organic matter content: More the organic matter content in soil results in high
pore space there by shows lower bulk density of soil and vice-versa.
5. Bulk or Mass density of different class
Textural class
Bulk density (g/cc) Pore space
(%)
Sandy soil 1.6 40
Loam 1.4 47
Silt loam 1.3 50
Clay 1.1 58
6. Specific wt of particles
• The specific weight (also known as the unit weight) is
the weight per unit volume of a material. The symbol
of specific weight is γ (the Greek letter Gamma)
7. Submerged unit weight
• Submerged unit weight, which is defined as the
difference between the saturated unit weight
and the unit weight of water. It is often used in
the calculation of the effective stress in a soil.
8. Specific gravity
• Specific gravity is the ratio of the density of a
substance to the density of a reference
substance; equivalently, it is the ratio of the
mass of a substance to the mass of a reference
substance for the s ame given volume.
10. Fall Diameter and nominal diameter
• Standard Fall Diameter - The standard fall
diameter of simple fall diameter, of a particle
is the diameter of a sphere that has a specific
gravity of 2.65 and has the same standard fall
velocity as the particle.
• Nominal Diameter - The nominal diameter of
a particle is the diameter of a sphere that has
the same volume as the particle.
12. Probablity plots and various measure
of size distribution
• The particle-size distribution (PSD) of a powder, or
granular material, or particles dispersed in fluid, is a list
of values or a mathematical function that defines the
relative amount, typically by mass, of particles present
according to size. Significant energy is usually required
to disintegrate soil, etc. particles into the PSD that is
then called a grain size distribution.
• The normal probability plot is a graphical technique to
identify substantive departures from normality. This
includes identifying outliers, skewness, kurtosis, a need
for transformations, and mixtures. Normal probability
plots are made of raw data, residuals from model fits,
and estimated parameters.
14. Measure of grain size distribution
• I. Grain Size Analyses Since particle diameters typically span many
orders of magnitude for natural sediments, we must find a way to
conveniently describe wide ranging data sets. The base two
logarithmic f (phi) scale is one useful and commonly used way to
represent grain size information for a sediment distribution. A
tabular classification of grain sizes in terms of f units, millimeters,
and other commonly used measurement scales is included for
purposes of comparison
15.
16.
17.
18.
19.
20.
21. Shape factor , form , sphericity and
roundness
• The roundness classes are based upon another Wadell
roundness index given by;
• ρ =r/R
• where r is the radius of curvature of the largest inscribed
circle and R is the radius of the smallest circumscribing
circle. The index ranges from 0 to 1, with 1 indicating a
perfect circle. The roundness classes are based upon a
logarithmic scale because the distinction of differences at
the high roundness end of the scale is more difficult than at
the low roundness end of the scale. The class between 0.00
and 0.12 is excluded, because natural particles generally
have roundness values greater than 0.12.
26. • Sediment Maturity refers to the length of time that the
sediment has been in the sedimentary cycle. Texturally mature sediment is
sediment that is well rounded, (as rounding increases with transport
distance and time) and well sorted (as sorting gets better as larger clasts are
left behind and smaller clasts are carried away. Because the weathering
processes continues during sediment transport, mineral grains that are
unstable near the surface become less common as the distance of transport
or time in the cycle increases. Thus compositionally mature sediment is
composed of only the most stable minerals.
• For example a poorly sediment containing glassy angular volcanic
fragments, olivine crystals and plagioclase is texturally immature because
the fragments are angular, indicating they have not been transported very
far and the sediment is poorly sorted, indicating that little time has been
involved in separating larger fragments from smaller fragments. It is
compositionally immature because it contains unstable glass along with
minerals that are not very stable near the surface - olivine and plagioclase.
• On the other hand a well sorted beach sand consisting mainly of well
rounded quartz grains is texturally mature because the grains are rounded,
indicating a long time in the transportation cycle, and the sediment is well
sorted, also indicative of the long time required to separate the coarser
grained material and finer grained material from the sand. The beach sand
is compositionally mature because it is made up only of quartz which is very
stable at the earth's surface.
27. Shape factor
• Shape factors are dimensionless quantities used in image
analysis and microscopy that numerically describe the
shape of a particle, independent of its size. Shape factors
are calculated from measured dimensions, such as
diameter, chord lengths, area, perimeter, centroid,
moments, etc. The dimensions of the particles are usually
measured from two-dimensional cross-sections or
projections, as in a microscope field, but shape factors
also apply to three-dimensional objects.
• Shape factors are often normalized, that is, the value
ranges from zero to one. A shape factor equal to one
usually represents an ideal case or maximum symmetry,
such as a circle, sphere, square or cube.
28. forms
A simple classification by zingg in 1935 used the
ratio of width to length (b/a) and thickness by
breadth (c/b) . These ratios are called forms
indices. Every shape particle applies from
indices to define form of particles.
Four different shape nomenaclature are
Tabular(rod), equant, bladed and prolate (disc)
29. Sorting packing and orientation of
particles
• Sorting describes the distribution of grain size of sediments,
either in unconsolidated deposits or in sedimentary rocks.
Very poorly sorted indicates that the sediment sizes are
mixed (large variance); whereas well sorted indicates that
the sediment sizes are similar (low variance).
• The terms describing sorting in sediments - very poorly
sorted, poorly sorted, moderately sorted, well sorted, very
well sorted - have technical definitions, and semi-
quantitatively describe the amount of variance seen in
particle sizes
• The degree of uniformity of grain size. Particles become
sorted on the basis of density, because of the energy of the
transporting medium. High energy currents can carry
larger fragments. As the energy decreases, heavier
particles are deposited and lighter fragments continue to
be transported. This results in sorting due to density.
31. Packing and orientation of grains
• Elements of the sediment show dimensional relations
among them, expressed by various kinds of contact of
adjacent grains. This kind of relationship, for the grains
forming a grain skeleton, is called PACKING. It is a
feature specifying dimensional density of grains in a
sedimentary rock.
Besides packing, grains can show directional
arrangement in space, which is called a GRAIN
ORIENTATION. Especially long and flat grains can be
arranged in a rock in a way that is an oriented structure
34. Porosity
Porosity is the quality of being porous, or full of tiny
holes. Liquids go right through things that
have porosity. Go
back far enough
and you'll find that
porosity stems
from the Greek
word poros for
"pore," which means “
passage.” So something
withporosity lets
things through
35. Void ratio
• e = (V_v) / (V_s)
• Where V_v is the volume
of the voids (empty or
filled with fluid),
• and V_s is the volume of
solids.
• Void ratio is usually used in
parallel with soil porosity
(n) , which is defined as the
ratio of the volume of
voids to the total volume
of the soil.
36. Dry specific weight
The specific weight (also known as the unit
weight) is the weight per unit volume of a
material. The symbol of specific weight is γ (the
Greek letter Gamma).
Not to be confused with specific gravity
Dry specific weight =Dry wt of sediments
/total volume
Dry specific mass =Dry mass of
sediments/total volume
38. Newtonian Fluids
• Newtonian fluids are named after Sir Issac Newton (1642 - 1726)
who described the flow behavior of fluids with a simple linear
relation between shear stress [mPa] and shear rate [1/s]. This
relationship is now known as Newton's Law of Viscosity, where
the proportionality constant η is the viscosity [mPa-s] of the fluid:
• Some examples of Newtonian fluids include water, organic
solvents, and honey. For those fluids viscosity is only dependent
on temperature. As a result, if we look at a plot of shear
stress versus shear rate we can see a linear increase in stress with
increasing shear rates, where the slope is given by the viscosity of
the fluid. This means that the viscosity of Newtonian fluids will
remain a constant) no matter how fast they are forced to flow
through a pipe or channel (i.e. viscosity is independent of the rate
of shear).
39.
40. viscosity
• Viscosity is a property arising from collisions
between neighboring particles in a fluid that are
moving at different velocities. When the fluid is
forced through a tube, the particles which
compose the fluid generally move more quickly
near the tube's axis and more slowly near its
walls; therefore some stress (such as
a pressure difference between the two ends of
the tube) is needed to overcome the friction
between particle layers to keep the fluid moving.
For a given velocity pattern, the stress required is
proportional to the fluid's viscosity.
43. dynamic (shear) viscosity
• The dynamic (shear) viscosity of a fluid
expresses its resistance to shearing flows,
where adjacent layers move parallel to each
other with different speeds. It can be defined
through the idealized situation known as a
Couette flow, where a layer of fluid is trapped
between two horizontal plates, one fixed and
one moving horizontally at constant speed u.
45. Kinematic viscosity of newtonian
mixture
• The kinematic viscosity (also called
"momentum diffusivity") is the ratio of the
dynamic viscosity μ to the density of the
fluid ρ. It is usually denoted by the Greek
letter nu .