The sand replacement test determines the in situ density of natural or compacted soils using sand pouring cylinders. The test involves excavating a soil sample, measuring its mass, and replacing the excavated volume with sand of a known density to find the sample volume. This allows calculating the dry density based on the sample mass and volume. The test establishes a relationship between dry density and moisture content. It is used to evaluate compaction levels in the field according to acceptance criteria for different depths.
This presentation is of Penetration Test for Bitumen. Penetration test measures the hardness or softness of bitumen by measuring the depth in tenths of a millimeter to which a standard loaded needle will penetrate vertically in 5 seconds.
There are different grades of Bitumen used for the civil (especially for roads works) work. This presentation consists of the aim, significance, about the apparatus used procedure, noting the reading, Bis recommendation values and IRC recommendation values, precautions,
To determine the grade of given bitumen. The penetration test is used as a measure of consistency. Higher values of penetration indicate softer consistency.
This presentation is of Penetration Test for Bitumen. Penetration test measures the hardness or softness of bitumen by measuring the depth in tenths of a millimeter to which a standard loaded needle will penetrate vertically in 5 seconds.
There are different grades of Bitumen used for the civil (especially for roads works) work. This presentation consists of the aim, significance, about the apparatus used procedure, noting the reading, Bis recommendation values and IRC recommendation values, precautions,
To determine the grade of given bitumen. The penetration test is used as a measure of consistency. Higher values of penetration indicate softer consistency.
-Determination of water content of soil by oven drying method
-Determination of dry density of soil by sand replacement method
-Grain Analysis of Soil
-Determination of liquid limit and plastic limit of soil
-Liquid limit determination by cone penetrometer
-California Bearing Ratio (CBR) value test
- Direct shear test
-Standard penetration test
index properties of soil, Those properties of soil which are used in the identification and classification of soil are known as INDEX PROPERTIES
Water content
Specific gravity
In-situ density
Particle size
Consistency
Relative Density
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
2. Objective
Student should be able to : Determine the in situ density of natural or
compacted soils using sand pouring
cylinders.
3. Theory
By conducting this test it is possible to determine the field density of the soil. The
moisture content is likely to vary from time and hence the field density also. So it is
required to report the test result in terms of dry density. The relationship that can be
established between the dry density with known moisture content is as follows:
This test is to be conducted by laboratory staff to determine the degree of
compaction after the layer of sand fill or DG material has been compacted .
1. Hand dig an insitu core sample from the compacted soil and weigh to get the mass of test
sample . [ Note : It is usually to pick out the occasional gravels and cobbles that are of relatively
big size before weighing since they are not the same type of material as the sample]
2. Pour into the subsequent void with fine sand of consistent and known density ( eg. Quartz
sand ) to calculate the volume of the void which is equivalent to the volume of the test sample. [
Note : Put back the gravels and cobbles into the void before pouring in with quartz sand ]
3. Get the mass of the sample after oven-dried and divided by the volume of void to obtain the
dry density of the sample .
4. Divide the dry density of sample by the proctor test result , ie. the maximum dry density of the
respective sample to obtain the relative percentage of compaction .
5. The acceptance criteria for these percentage depends on the specification requirements and
is generally as follows : * No less than 98% within 150mm below formation level .
*No less than 95% between 150mm and 1200mm below formation .
*No less than 90% beyond 1200mm below formation level .
6. procedure
i) Calibration
1) Fill the sand-pouring cylinder with sand, within about 10mm of its top.
Determine the mass of the cylinder (M1) to the nearest gram.
2) Place the sand-pouring cylinder vertically on the calibrating container.
Open the shutter to allow the sand run out from the cylinder. When
there is no further movement of the sand in the cylinder, close the
shutter.
3) Lift the pouring cylinder from the calibrating container and weigh it to
the nearest gram (M3).
4) Again fill the pouring cylinder with sand, within 10mm of its top.
7. 5) Open the shutter and allow the sand to run out of the cylinder. When
the volume of the sand let out is equal to the volume of the calibrating
container, close the shutter.
6) Place the cylinder over a plane surface, such as a glass plate. Open the
shutter. The sand fills the cone of the cylinder. Close the shutter when
no further movement of sand takes place.
7) Remove the cylinder. Collect the sand left on the glass plate.
Determine the mass of sand (M2) that had filled the cone by weighing
the collected sand.
8) Determine the dry density of sand, as shown in the data sheet, part-I.
ii) determination of bulk density of soil
1. Place the sand pouring cylinder concentrically on the top of the calibrating
container with the shutter closed making sure that constant mass (M0) is
maintained
2. Open the shutter of cylinder and allow the sandto move into the container.
When no futher movement is seen, close the shutter and find the mass of
sand left in the cylinder (M2)
3. Repeat step 2-3 at least thrice and find the mean mass (M2)
a)
b)
c)
8. iii) determination of field density of soil
1) Level surface of the soil inthe open field
2) Place metal tray on the surface haring a circular hole of 10cm diameter at
the center. Dig a hole of this diameter up to about 15 cm dept. Collect all the
excavation soil in a tray and find the mass of excavation soil (M)
3) Remove the tray and place the sand-pouring cylinder concentrically on the
hole. Open the shutter and allow the sand to run into the hole till no futher
movement of sand is noticed. Close the shutter and determine mass of sand
which is left in the cylinder , (M3)
4) The representative sample is taken from the excavated soil for
determination of water content..
a)
d)
b)
’
c)
9. DATA & RESULT
Determination of mass of and in the cone
No Test
1
Volume of calibrating container (m3), Vc
11.39
Mass of sand in cylinder before pouring (M0) (kg)
9.374
Mean mass of sand in cone, (M1) (kg)
0.494
Determination of bulk density of sand
No Test
Mean mass of sand leave in cylinder after pouring
(M2) (kg)
Mass of sand filling calibratung container (Mc = M0 –
M 1 – M2 )
Bulk density of sand (ρs = Mc / Vc ) (kg/m3)
1
7.299
1.581
0.139
Determination bulk density and unit weight of soil
Mass of wet soil from the hole (M) (kg)
1.169
Mass of sand in cylinder after pouring in the hole (M2) (kg)
7.127
Mass of sand in the hole, (Ms = M0 – M1 – M3 ) (kg)
1.753
Bulk density of soil , ρ = M / Ms x ρs (kg/m3)
4.798
Dry density of sand ρd = ρ / ( 1 + w )
4.505
10. No of cone
1
Wet soil
0.079
Dry Soil
0.077
Cone Weight
0.046
Water Content %
6.5 %
Calculation
Vc = πr2h
= π (5)2 (0.145)
= 11.39 m3
Mc = M0 – M1 – M2
Mc = (9.374 – 0.494 – 7.299)
= 1.581
ρs= Mc / Vc
= (1.581 / 11.39 )
= 0.139 kg/m3
Ms = M0 – M1 – M3
= (9.374 – 0.494 – 7.127 )
= 1.753 kg
11. ρ = M / Ms x ρs
= 1.169 / ( 1.753 x 0.139 )
= 4.798 kg/m3
ρd = ρ / ( 1 + w )
= 4.798 / (1 + 0.065 )
= 4.505
12. DISCUSSION
Discussion
1. What is the objective of sand replacement test?
Determine the in situ density of natural or compacted soils using sand pouring cylinders.
2. What is the relationship that can be established between the dry density with known
moisture content?
3. What are the apparatus that need in this test?
There are Sand pouring cylinder,tools for excavating holes,cylindrical calibrating
container,metal containers,metal tray,weight scales.
4. Discuss the different method of compaction of :
a) Cohesionless soil
b) Cohesive soil
c) Cohension less soils cannot be compacted by static pressure, vibration is
the only effective method.
d) Cohesive soils are not susceptible to vibration, static pressure is the
method of compaction for cohesive soils and kneading also works.
13. Conclusion
Conclusion
What we can conclude from the test is sand replacement is determine the in situ density of natural
or compacted soils using sand pouring cylinders.
The relationship that can be established between the dry density with known moisture content is as
follows:
Sand replacement method (standard method, but does not apply to fill a big stone embankment
and other porous materials, holes or large degree of compaction test) is the use of the basic
principles of particle size 0.30 ~ 0.60mm or 0.25 ~ 0.50mm uniform clean sand, from the the
whereabouts of a certain high degree of freedom to the test inside the cave, according to their unit
weight the same principle to measure the volume of test hole (ie, using standard test hole sand to
replace the aggregate), and in accordance with the moisture content of aggregate to calculate the
sample The measured dry density.
14. Reference
1. Donald Mcglinchey, Characterisation of bulk solids, 2005, CRC Press DT Afrika.
2. Mazlan Mohammad Abdul Hamid, Standard aggregate sieve analysis TEST, ASTM International Standards Worldwide, (July 2008) ASTM C136-06, retrived from http://www.astm.org/
3. Norliza Muhammad, concrete laboratory,(2006). Gradation Test. (2007), Norliza Muhammad,
FajarBakti.Sdn.Bhd