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CE8712 – INDUSTRIAL
TRAINING
MATLAB AND ARTIFICIAL INTELLIGENCE IN
CIVIL ENGINEERING
MUTHUKUMAR.V(953617103029)
NEED OF THIS TRAINING MODULE
◦To equip the modern knowledge of game changing
softwares like matlab and artificial intelligence
programming languages and its modern applications in
the field of civil engineering.
MATLAB – A INTRODUCTION
◦ MatLab stands for matrix laboratory and this was invented by
CLEVE MOLER in 1970’S.
◦ MATLAB is a proprietary multi-paradigm programming language
and numerical computing environment developed by Math Works.
◦ MATLAB allows matrix manipulations, plotting of functions and
data, implementation of algorithms, creation of user interfaces, and
interfacing with programs written in other languages.
◦ It is very much useful in case of astronomical stimulations like
black hole theory and remodeling of evolution of universe.
MATLAB LOGO
MATLAB BASICS
◦ This software has evolved from a simple calculator to all rounder software for all
subjects. It consists of the following basics.
◦ Command Window:
In this window one must type and immediately execute the statements, as it requires
quick prototyping. These statements cannot be saved. Thus, this is can be used for
small, easily executable programs.
◦ Editor (Script):
In this window one can execute larger programs with multiple statements, and
complex functions These can be saved and are done with the file extension ‘.m ‘
◦ Workspace:
In this window the values of the variables that are created in the course of the program
(in the editor) are displayed.
MATLAB Onramp
• This is our introductory course on matlab given by our staff members.Here we have
had a brief prologue to the basics of the usuage of the application.
◦ Course Overview & Commands
Here we can familiarize about the course, and come to know about Entering
commands, naming ,saving and loading a variable and using Built-in functions and
constraints.
◦ MATLAB Desktop & Editor
Just to know how to write and save our own MATLAB programs, a preview of
MATLAB screen.
◦ Vectors and Matrices
This section insists how to enter Arrays manually, to Create an Evenly-Spaced
Vectors and also Array Creation Functions.
MATLAB WORKING WINDOW
APPLICATIONS OF MATLAB IN CIVIL ENGINEERING
◦ Transportation Engineering: Traffic Engineering is commonly done on Excel.
In any case, on the off chance that you can utilize Matlab your work become
significantly increasingly simpler.
◦ Geotechnical Engineering: Lateral earth Pressure, Retaining wall
programming, westergaard and boisennesq pressure program, solidification.
Mohr circle is one of the most popular programming.
◦ Surveying: Leveling program, Bearing computation
◦ Water Resources: computational liquid Dynamics, Hardy cross technique, STP
plan, WTP structure. It's an extensive rundown.
◦ Structural Engineering: Finite element analysis. Picking up programming of
staad Pro, e tabs, should be possible by Matlab.
FLUID MECHANICS
FLOW ANALYSIS
GRAPHICAL
FLOWCHART FOR STP
RETAINING WALL
ANALYSIS
ARTIFICIAL INTELLIGENCE
BIRTH OF AI
◦ The Dartmouth Conference of 1956[50] was organized by Marvin Minsky, John McCarthy and
two senior scientists: Claude Shannon and Nathan Rochester of IBM. The proposal for the
conference included this assertion: "every aspect of learning or any other feature of intelligence
can be so precisely described that a machine can be made to simulate it.
◦ The first product of AI research was the automatic chess machine which even posed great
challenges to the grandmasters of that time.
MAIN CONCEPTS IN AI
◦ DEXTERITY- We humans have the advanced ability to move our
hands that was evolved over time, greater movement of limbs
indicates higher form of intelligence.
◦ This concept was applied in the case of robotic arms in case of
automobile industries.
◦ Learning methods- SUPERVISED , UNSUPERVISED AND
SEMISUPERVISED Learning methods.
◦ These methods when accompanied by powerful programming
languages like python and datascience tools like Rstudio leads to
powerful machines.
Supervised
learning
Unsupervised
learning
AI Programming Languages
◦ The main languages used are
◦ LISP
◦ Python
◦ C++
◦ Prolog
◦ R Language
◦ R Studio
Matlab and artificial intelligence
APPLICATION OF AI IN CIVIL ENGINEERING
◦ Used in construction management and planning and 3D stimulation
of loading conditions.
◦ To improve work safety measures in construction site and efficient
project management.
◦ Efficient fiscal analysis of cost of materials and labour salaries from
time to time.
◦ Can replace human labour in case of dangerous construction sites
like tunnels and mining areas.
Matlab and artificial intelligence
CONCLUSION
• The impact of these new technologies have moved us to the next
phase of human evolution and usuage of these technologies will
definitely lead us to the path of more advanced development and in
a more sustainable way .
• With advancement of AI we can hit many new era outcomes in case
of medical , smart engineering materials and more developed
construction industry and many more ..
THANK YOU

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Matlab and artificial intelligence

  • 1. CE8712 – INDUSTRIAL TRAINING MATLAB AND ARTIFICIAL INTELLIGENCE IN CIVIL ENGINEERING MUTHUKUMAR.V(953617103029)
  • 2. NEED OF THIS TRAINING MODULE ◦To equip the modern knowledge of game changing softwares like matlab and artificial intelligence programming languages and its modern applications in the field of civil engineering.
  • 3. MATLAB – A INTRODUCTION ◦ MatLab stands for matrix laboratory and this was invented by CLEVE MOLER in 1970’S. ◦ MATLAB is a proprietary multi-paradigm programming language and numerical computing environment developed by Math Works. ◦ MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages. ◦ It is very much useful in case of astronomical stimulations like black hole theory and remodeling of evolution of universe.
  • 5. MATLAB BASICS ◦ This software has evolved from a simple calculator to all rounder software for all subjects. It consists of the following basics. ◦ Command Window: In this window one must type and immediately execute the statements, as it requires quick prototyping. These statements cannot be saved. Thus, this is can be used for small, easily executable programs. ◦ Editor (Script): In this window one can execute larger programs with multiple statements, and complex functions These can be saved and are done with the file extension ‘.m ‘ ◦ Workspace: In this window the values of the variables that are created in the course of the program (in the editor) are displayed.
  • 6. MATLAB Onramp • This is our introductory course on matlab given by our staff members.Here we have had a brief prologue to the basics of the usuage of the application. ◦ Course Overview & Commands Here we can familiarize about the course, and come to know about Entering commands, naming ,saving and loading a variable and using Built-in functions and constraints. ◦ MATLAB Desktop & Editor Just to know how to write and save our own MATLAB programs, a preview of MATLAB screen. ◦ Vectors and Matrices This section insists how to enter Arrays manually, to Create an Evenly-Spaced Vectors and also Array Creation Functions.
  • 8. APPLICATIONS OF MATLAB IN CIVIL ENGINEERING ◦ Transportation Engineering: Traffic Engineering is commonly done on Excel. In any case, on the off chance that you can utilize Matlab your work become significantly increasingly simpler. ◦ Geotechnical Engineering: Lateral earth Pressure, Retaining wall programming, westergaard and boisennesq pressure program, solidification. Mohr circle is one of the most popular programming. ◦ Surveying: Leveling program, Bearing computation ◦ Water Resources: computational liquid Dynamics, Hardy cross technique, STP plan, WTP structure. It's an extensive rundown. ◦ Structural Engineering: Finite element analysis. Picking up programming of staad Pro, e tabs, should be possible by Matlab.
  • 9. FLUID MECHANICS FLOW ANALYSIS GRAPHICAL FLOWCHART FOR STP RETAINING WALL ANALYSIS
  • 11. BIRTH OF AI ◦ The Dartmouth Conference of 1956[50] was organized by Marvin Minsky, John McCarthy and two senior scientists: Claude Shannon and Nathan Rochester of IBM. The proposal for the conference included this assertion: "every aspect of learning or any other feature of intelligence can be so precisely described that a machine can be made to simulate it. ◦ The first product of AI research was the automatic chess machine which even posed great challenges to the grandmasters of that time.
  • 12. MAIN CONCEPTS IN AI ◦ DEXTERITY- We humans have the advanced ability to move our hands that was evolved over time, greater movement of limbs indicates higher form of intelligence. ◦ This concept was applied in the case of robotic arms in case of automobile industries. ◦ Learning methods- SUPERVISED , UNSUPERVISED AND SEMISUPERVISED Learning methods. ◦ These methods when accompanied by powerful programming languages like python and datascience tools like Rstudio leads to powerful machines.
  • 14. AI Programming Languages ◦ The main languages used are ◦ LISP ◦ Python ◦ C++ ◦ Prolog ◦ R Language ◦ R Studio
  • 16. APPLICATION OF AI IN CIVIL ENGINEERING ◦ Used in construction management and planning and 3D stimulation of loading conditions. ◦ To improve work safety measures in construction site and efficient project management. ◦ Efficient fiscal analysis of cost of materials and labour salaries from time to time. ◦ Can replace human labour in case of dangerous construction sites like tunnels and mining areas.
  • 18. CONCLUSION • The impact of these new technologies have moved us to the next phase of human evolution and usuage of these technologies will definitely lead us to the path of more advanced development and in a more sustainable way . • With advancement of AI we can hit many new era outcomes in case of medical , smart engineering materials and more developed construction industry and many more ..