This document contains information from BITS Pilani Hyderabad Campus about various projects. It discusses learning about fuzzy optimization and applying it to solve a civil engineering problem involving mix design optimization for self-consolidating concrete. It also outlines methodologies for projects involving modeling riverine hydrodynamics and water quality, evaluating and prioritizing roads for maintenance, restoring lakes by removing sediments, and removing algae from water using chemical agents.

1. BITS Pilani
Hyderabad Campus
Title of the project

2. BITS Pilani
Hyderabad Campus
TITLE-
ONE DIMENSIONAL RIVERINE
HYDRODYNAMIC AND WATER QUALITY
MODEL USING EPD-Riv1

3. BITS Pilani, Hyderabad Campus
ACTIVITIES BEFORE
MID - SEM:
Learnt about crisp and fuzzy clustering (K-Means and
C-means)
Researched on their importance and applications
in various fields
We worked on web page ranking which applies fuzzy
C-clustering for grouping websites based on criteria

4. BITS Pilani, Hyderabad Campus
OBJECTIVES
Learn about fuzzy optimization
(general mechanisms followed)
Come up with a new
mechanism to solve.
Solve a civil engineering problem
(mix design optimization for SCC)
Objectives
Workplan
Cuckoo search
Fuzzy VIKOR
Cuckoo+VIKOR
Problem
statement
Need for study
and
assumptions
Problem
formulation
results

5. BITS Pilani, Hyderabad Campus
WTP at Devas, its functioning.
Operation and maintenance of Devas WTP
EPANET Software
Learning Outcome

6. BITS Pilani, Hyderabad Campus
Phase 1: Literature Review
Phase 2: Data Collection & Preliminary analysis
Phase 3: Analysis of structural and functional evaluation
data & the development of the deterioration models
Phase 4: Laboratory testing to determine the material
properties for incorporating in MEPDG
Phase 5: Prioritization of roads & optimal maintenance
strategy by incorporating MEPDG
Phase 6: Thesis Writing
Methodology

7. BITS Pilani, Hyderabad Campus
De Sludging Of Lake
Shallow eutrophic lakes can often be
restored by removal of sediments.
Removes large quantity of
sediments, Increasing mean depth.
ENVIRONMENTAL DREDGING-
removal of contamination from lake.
Slurry removal and drying and used
for land filling.

8. BITS Pilani, Hyderabad Campus
Outline

9. BITS Pilani, Hyderabad Campus
Copper Sulphate, Bleaching Powder, alum, Poly
Aluminium & Ferrous Sulfate
Effective removal of algae
Bleaching powder kills the green algae,
cyanobacteria and diatoms
Reduce eliminate the smell of water
Removal ofAlgae by Chemical
Agent

10. BITS Pilani, Hyderabad Campus
Distance d’ is well constructed to
calculate distance between two
fuzzy points having triangular
membership functions.
Implementation of FCM algorithm
yields better and accurate results
than AFCM
ANALYSIS