Chair and Institute of Hydraulic and Environmental Engineeringhikomnew.grf.bg.ac.rs/ChairAndInstitute-2018.pdf · 2020-06-02 · Established in 2010 Mission: ... advanced modelling

Prof. dr Dušan ProdanovićHead of the Chair

Doc. dr Nenad JaćimovićDirector of the Institute

University of BelgradeFaculty of Civil Engineering

http://hikom.grf.bg.ac.rs

www.grf.bg.ac.rs

Chair and Institute of Hydraulic and Environmental Engineering

3 - Professors7 - Associate professors7 - Assistant professors (docents)9 - Assistants, pHd students4 - Non teaching staff

Academic Studies

• Curricula : Two level degree - first degree 4 years, second degree 1 year

First Degree – 4 years: Compulsory modules

Hydraulic and Environmental Engineeringhttp://hikom.grf.bg.ac.rs

Semester 8

Academic Studies


First Degree – 4 years: Elective modules


Academic Studies


Second Degree – 1 year:


Number of students:45 to 60 per year

Academic Studies Hydraulic and Environmental Engineeringhttp://hikom.grf.bg.ac.rs

• Laboratories

❑ Laboratory for sanitary engineering

❑ Laboratory for fluid mechanics andfluid volume measurement

❑ Laboratory forhydrometry andhydrology

❑ Laboratory for hydraulics and waterway regulation

Research – internation.

IRTCUD Resolution on the 24th UNESCO General Conference,

Paris, October 1987

Participation in & contribution to the IHP programme

Cooperation with:◼ UNESCO and UN organisations (UNEP,UNDP, UNIDO)

◼ professional institutions (IAHR, IAWPRC, IAHS)

◼ World Meteorological Organization (WMO)

◼ governmental institutions and NGOs

◼ universities and research institutions

• IRTCUD Belgrade • CC – Cold Climate IRTCUD, Trondheim• HT – Humid Tropic IRTCUD, Porto Alegre• ASA – Arid & Semi Arid IRTCUD

IRTCUD Network:

SEE Network:

• CUW – UK, London• IRTCUW – BG, Sofia• CUW – BL, Banja Luka• Regional CUWM, Tehran

CUW Network:


• International Research and Training Centrefor Urban water Drainage


Partners:

◼ National Technical University of Athens, Greece

◼ University of Ljubljana, Slovenia

◼ Technical University of Civil Engineering Bucharest, Romania

◼ University of Belgrade, Faculty of Civil Engineering, Serbia

Duration: 2 years

Organization: e-learning + lecturing

Curriculum: 4 Thematic areas / 12 Modules

Theses: focus on integrated management of transboundary waterresources

• EDUCATE project – Postgraduate Studies in Water Resources and Environmental Management


◼ Established in 2010

Mission: Strengthening cooperation between the National Committee and the IHP.

• Serbian National Committee for International Hydrological Programme


Joint activities in various fields

◼ integrated water resources management - IWRM

◼ transboundary watercourses and water resources

◼ the social aspect of the whole

◼ education in the field of water

UNESCO II group countries:

Recent contributions to UNESCO publishing (2012):

Active participation in preparation of the IHP VIII phase


◼ Established in 2012

• UNESCO Chair in Water for Ecologically Sustainable Development


Aims:

◼ to help achieve Millennium Development Goals

◼ to ensure environmental sustainability

◼ to promote gender equality

◼ To improve water governance and capacity

Priority regions:

◼ UNESCO II groups of countries

◼ Asia

◼ Africa

Partners:

BSUN – Black Sea University Network

UNESCO II groups of countries

UNESCO centres

UNESCO chairs

Interested institutions



◼ Action C18: Performance assessment of urban infrastructure services: the case of water supply, wastewater and solid waste

◼ Action C22: Urban flood management

• UNESCO IHP VI, Focal Area 3.5

COST

◼ Data requirements for integrated urban water management

◼ UGROW (UrbanGROroundWater) – An advanced modelling tool for the transient simulation and management of urban groundwater systems

◼ Published books



• Long term cooperation with Kyoto University - Japan

▪ Numerical modeling of environmental hydraulics

o Aquifer restoration technologies

soil

waterair CHCl3

soil

air

o Modeling of hydrodynamics and water quality in lakes and reservoirs

o Application of advanced technologies for lake revitalization



• Flood Risk Management Consortium 1 and 2

▪ Development of Integrated Hydroinformatic Tools GIS Based (Geology, Geotechnics, Groundwater, Water Distribution, Sewerage, etc.)

▪ Dynamic Monitoring of Distribution Networks Leackage Detection

• DAAD - Improvement of Science and Research in Serbia and Montenegro in the Field of Water Management

• CARDS programme – Pilot River Basin Plan for the Sava River

• UNESCO: International Network of Water-Environmental Centresfor the Balkans



• Possibility to use ADCP for velocity distribution in irregular conditions

▪ With TWENTE University, The Netherlands

▪ Comparative measurements, 28.08.2018.

▪ Multiple river crossing


▪ Project components

– Changes in hydrometeorological variables in Serbia

– Reference scenarios for surface water

– Reference scenarios for groundwater

– Stochastic analysis of hydrometeorological time series

– Trend analysis for floods and droughts

– Methodology for the impact assessment for surface water

– Methodology for the impact assessment for groundwater

– Impact assessment

▪ FCE contribution

– Analysis of trends in 80 precipitation indicators

– Development of deterministic hydrologic models for the hydrologic projections (Kolubara, Toplica, Mlava, Moravica and Crni Timok basins)

– Stochastic modelling of hydrometeorological time series based on transfer function models for long-term hydrologic projections

TR 37005 for period 2011-2015, Participants: “Jaroslav Černi” Institute, University of Belgrade – Faculty of Civil Engineering, Faculty of Agriculture, Faculty of Mining and Geology, University of Niš – Faculty of Civil Engineering and Architecture

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Research - national Hydraulic and Environmental Engineeringhttp://hikom.grf.bg.ac.rs

• Climate change impacts on water resources in Serbia

▪ Water quality field measurements with a YSI multi-parameter probe: water temperature, dissolved oxygen concentration, chlorophyll a, pH and conductivity.

▪ Modeling of water temperature and dissolved oxygen profiles of three lakes/reservoirs that are used as sources of potable water: Ćelije, Gruža and Vrutci

Example: vertical profiles of DO in the Ćelije Reservoir (Serbia)


• MORE - Monitoring and Modeling of Lakes and Reservoirs(physical, chemical, biological and morphodynamic parameters)

TR 37009 for period 2011-2015, Participants: University of Belgrade – Faculty of Civil Engineering, University of Novi Sad – Faculty of Civil Engineering, Institute for biological research Siniša Stanković, University of Belgrade - Multidisciplinary research institute

▪ Development and application of various methods for storm water drainage and treatment in urban areas and on traffic infrastructure.

▪ Experimental sites in Belgrade and Subotica, link with international sites

Infiltration tank at FCE


• Urban drainage systems as key infrastructure in cities and towns

TR 37010 for period 2011-2015, Participants: University of Belgrade – Faculty of Civil Engineering, University of Novi Sad – Faculty of Civil Engineering

Measured level in infiltration tank for different rain events

Simulatedlevel in

infiltration tank

Meas.

Model

• A three-step non-parametric method for generating stationary multi-site hydrologic series capable of reproducing complete stochastic structure of the series at any time step

– Step 1: Monte Carlo simulations of long (e.g. 1000 years) series of independent data (daily, weekly, monthly flows) with statistical properties matching the observed series using non-parametric distributions

• The method is applied on the log-transformed data

Research - PhD Hydraulic and Environmental Engineeringhttp://hikom.grf.bg.ac.rs

Đurica Marković (supervised by Jasna Plavšić), defended 2016

• Non-parametric stochastic generation of hydrologic series (1)

– Step 2: Achieving target serial and cross correlations by rearranging the order of simulated data within each simulated year with the non-parametric Iman-Conover algorithm

– Step 3: Adjusting correlation of data from one year to another and of annual flows

• The results show that the simulated data correspond to the observed data in all their stochastic properties and that they can be consequently used in the studies related to planning and design of reservoirs and other water management systems

ACF for weekly flows

ACF for annual flows

Distributions of annual flows

Đurica Marković (supervised by Jasna Plavšić), defended 2016


• Non-parametric stochastic generation of hydrologic series (2)

Marković Đ. et al. (2015) Non-parametric stochastic generation ofstreamflow series at multiple locations, Water Resources Management,DOI 10.1007/s11269-015-1090-z


• Modelling of Stochastic Structure of Flood CharacteristicsDerived From Peaks Over Threshold Series (1)

Dragutin Pavlović (supervised by Jasna Plavšić and Jovan Despotović)

A Stochastic Model for Series of Single and AggregatedOver Threshold Flood Characteristics Values

• flood volumes,• flood peaks,• inter-arrival times• exceedence durations.

Based on Markov’s chains, process intensity function, the independence of time and over threshold interrupts, continuous distributions of over threshold values and discrete distributions of occurrences in time and value parent domain.


Dragutin Pavlović (supervised by Jasna Plavšić and Jovan Despotović)

• Modelling of Stochastic Structure of Flood CharacteristicsDerived From Peaks Over Threshold Series (2)

The Hn(x), distribution functions of n consecutive over threshold flood volumes

as a function of the form of the process volume intensity function (x,n).

type Hn(x) [H1(x) always according to eq. (7)]

1

2

3

4

• Two-stage time series model based on transfer functions for long-term hydrologic projections

– Transfer functions are stochastic models that use stochastic structure of independent variables to construct stochastic structure of a dependent variable

– A double-input TF model was used where flows depend on precipitation and temperature

Milan Stojković (supervised by Jasna Plavšić), defended 2015

Stojković M. et al. (2015) Stochastic structure of annual discharges of large European rivers, J. Hydrol. and Hydromech., DOI: 10.1515/johh-2015-0009


• Hydrologic projections under climate change based on time series models (1)

Annual scale Monthly scale

Stage 1: Projections of annual flows

Stage 2a: Identify trend and long term periodicity from annual projections

Stage 2b: Introduce seasonal components

Trend (linear

moving window)

Long-term periodicity

Seasonal periodicity

Stochastic component (TF model)

Random component

Monthly flows

Annual precipitation

and temperature

Standardized and

differenced series

TF modelAnnual flows

Milan Stojković (supervised by Jasna Plavšić), defended 2015


• Hydrologic projections under climate change based on time series models (2)

▪ 3DNet-Catch – a hydrologic model developed at the Institute of Hydraulic and Environmental Engineering

▪ Fully-distributed model aimed at continuous hydrologic simulations

3DNet-Catch – model routines Flow simulations with the 3DNet-Catch model


Andrijana Todorović (supervised by Jasna Plavšić), defended 2015

• Impact of calibration period on parameter estimates in the conceptualhydrologic models of various structures (1)

– Dynamic model calibration

• Calibration over various periods (subsets of the full record period)

• Multi-objective model calibration using AMALGAM algorithm

• Analysis of consistency in the Pareto-optimal parameters

– Result: parameters are sensitive on the calibration period

• Overparameterised models are more sensitive

• Distributed models yield more consistent parameter estimates

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ALL PERIODS

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ALL PERIODS

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Parameter posterior distributions obtained over all calibration periods of

given length


• Impact of calibration period on parameter estimates in the conceptualhydrologic models of various structures (2)

Andrijana Todorović (supervised by Jasna Plavšić), defended 2015

▪ Developed general automatic algorithm for data validation and data quality assessment suitable for all kind of environmental


Nemanja Branisavljević (supervised by Dušan Prodanović and Zoran Kapelan), defended 2012

• Methodology for data validation of hydraulic and hydrologic measurements

▪ Branisavljević N. et al. (2010): Automatic, semi-automatic and manual validation of urban drainage data, WS&T, Vol 62, No 5, doi:10.2166/wst.2010.350

▪ Branisavljević N. et al. (2011): Improved real-time data anomaly detection using contextclassification, Journal of Hydroinformatics, Vol 13, No 3, doi:10.2166/hydro.2011.042

▪ Contaminant Buildup, Distribution and Dynamics on Urban Surfaces

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Aleksandar Djukić (supervised by Branislava Lekić and Zorana Naunović), in progress

• Modelling of Urban Runoff Pollution Emission (1)

▪ Djukić A. et al. (2016): Further insight into the mechanism of heavy metals partitioning in stormwater runoff, Journal of Env. Man, Vol. 168, doi: 10.1016/j.jenvman.2015.11.035 and doi: 10.1016/j.jenvman.2015.11.035 (supplementary data)

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Aleksandar Djukić (supervised by Branislava Lekić and Zorana Naunović), in progress


• Modelling of Urban Runoff Pollution Emission (2)

▪ Mechanisms of Heavy Metals Partitioning in Stormwater Runoff

▪ Tested in field conditions▪ Water flow

– 3 separate reservoirs: pond, filter, saturated zone

– Inter reservoir flows physically determined

▪ Pollutant transport

– Advective-dispersive transport through porous media

– Chemical non-equilibrium two-site sorption model

– First-order bio-chemical degradation

– Volatilization - pond surface


• Model for MicroPollutants In RaingardEns (MPiRe)

Anja Randjelović (supervised by Nenad Jacimović and Ana Deletić), in progress

▪ Efficiency of As(III) and As(V) removal from water by adsorption is investigated with natural and waste materials, afordable and esay to use in rural areas .

DOVODVODE

PRELIV

STAKLENEPERLE

STAKLENAVUNA

SORBENT

STAKLENAVUNA

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REGULACIONIVENTIL

EFLU

ENT

Rapid Small Scale Column Testing

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Natural clays, sand and zeolites

Fe/Mn ORES

Blast furnance slags

Fe/Mn FILTER SANDS

Activated sand/gac

Commercial


• Development of methods and procedures for arsenic removal from drinking water (1)

Branislava Lekić (supervised by Dejan Ljubisavljević and Ljubinka Rajaković), defended 2011

▪ Developedpilotmodel

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• Development of methods and procedures for arsenic removal from drinking water (2)

Branislava Lekić (supervised by Dejan Ljubisavljević and Ljubinka Rajaković), defended 2011

▪ Main outcome: For corroded iron pipes there is no direct mathematical connection between iron release and corrosion of steel pipes.

▪ Water quality can affect the iron release and the factors that are key-influencing are: dissolved oxygen, pH value, alcality, buffer capacity, water flow, temperature, water treatment and inhibitor presence.

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ko

rozi

je,

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• The effect of water quality on steel corrosion (1)

Vladana Rajaković-Ognjanović (supervised by Branimir Grgur), defended 2011

I: 2Fe + O2 + 2H2O 2Fe2+ + 4OH-

II: 4Fe2+(aq) + O2(g) + 8OH–(aq) + 2H2O 4Fe(OH)3(s)

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i

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Vladana Rajaković-Ognjanović (supervised by Branimir Grgur), defended 2011


• The effect of water quality on steel corrosion (2)

▪ Iron (II) species versus pH value

Fe2+ + 4OH- Fe(OH)++3 OH- [Fe(OH)3]- + OH- [Fe(OH)4]

2-

33

1

Problem Solution

• Uncertainty of input data

• Propagation of uncertainty of input data to calculate the value of WB (water balance) components and PI (performance indicators)

• Specific activities to reduce the uncertainty of input data and components WB and the PI.

• Developed method for monitoring the propagation of input data uncertainty on the uncertainty of the PI.

• Large uncertainty of apparent losses • Developed a novel method for determination of the total apparent losses.

• Poor value of PI• Insufficiently investigated the impact of

the pressure reduction on the reduction of water consumption

• The methodology for improving the PIDeveloped a new method for determination of the reduction of total water demand due to reduced operating pressure in WDS.

2

3


Branislav Babić (supervised by Dušan Prodanović), defended 2014

• Advances in methodology for evaluation and improvement of the waterdistribution system performance (1)

Current Annual Real

Loss Volume

Pressure

Management

Infrastructure

Management

Proactive

Leak

Detection

Improved

Leak

Repair

Time

Economic

Level

Real Loss

Unavoidable

Real Loss

Current Annual Real

Loss Volume

Pressure

Management

Infrastructure

Management

Proactive

Leak

Detection

Improved

Leak

Repair

Time

Economic

Level

Real Loss

Unavoidable

Real Loss

Branislav Babić (supervised by Dušan Prodanović), defended 2014


• Advances in methodology for evaluation and improvement of the waterdistribution system performance (2)

WDS Pozarevac

▪ IWA methodolgy applied

▪ ILI uncertainty reduced

Detection of minimum basis loops

∆Q Solver Speedup compared to GGA inside optimization algorithm

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Upgraded Q DLL (D)

Fixed Iter. Q DLL (E)

Upgraded Q DLL (D)

Fixed Iter. Q DLL (E)

WDS Sectorisation into DMAs

• Analyze networks topology

• Pre-procesing

1Efficient

hydraulic solver

2Use 2 for multiple

optimization runs in search for optimal

DMAs configuration3

Željko Vasilić (supervised by Miloš Stanić), in progress


• Application of graph theory algorithms in Water Distribution System (WDS) analysis

▪ Improvement of the ∆Q hydraulic solver for WDS networks

▪ Network sectorisation into DMAs based on engineering criteria


• Risk analysis methodology in water infrastructure asset management (1)

▪ Requirements to explore possible ways to:

▪ improving functioning of water supply systems in a systemic way

▪ creating an environment for sustainable application of scientific and professional work techniques in practice

▪ The focus and the essence of the thesis is an attempt to research perceptions and understanding the problem that is being addressed

▪ The first step in solving any problem is to understand the problem

▪ Fundamental question : ’Who is to blame for pipe failure?’

▪ Actual concept: WHO Water Safety Plans- multibarrier approach

▪ Traditional definition of risk:

▪ RISK = PROBABILITY x CONSEQUENCE

▪ Issues: Risk definition

Aleksandar Šotić (supervised by Marko Ivetić), in progress


• Risk analysis methodology in water infrastructure asset management (2)

▪ Paradigm shift

▪ Water systems as complex, hierarchical, adaptive, resilient

▪ From RISK (negative, unwanted events)

▪ To SAFETY (positive, how it should be)

▪ SOCIO-TECHNICAL context

▪ Applying System & Control Theory

▪ Basic concept is not event but constraint

▪ SAFETY as emergment system property

▪ Case Study: Vrutci reservoir, Bele Vode WTP

Aleksandar Šotić (supervised by Marko Ivetić), in progress

▪ The main objective: to improve flow measurements in urban sewer and drainage systems

▪ This will be done by combining:

1. local field velocity measurements by robust and accurate electromagnetic sensors (EM) – domestic company “SVET INSTRUMENATA”

2. high level numerical simulation of transient flows – “Homemade” models & OpenFOAM

3. high level numerical simulation of dynamic EM fields – “Homemade” models (maybe) & OpenFOAM

Damjan Ivetić (supervised by Dušan Prodanović), in progress


• Smart Sewer Electromagnetic Flow Measurement

▪ Developed a 3D numerical model of two-phase (water-gas) bubble flow with consideration of dissolution process

Lab experiments


• Numerical modeling of hypolimnetic oxygenation of lakes (1)

Nenad Jaćimović (supervised by Takashi Hosoda and Marko Ivetić), defended 2007

▪ Field experiments and model results


• Numerical modeling of hypolimnetic oxygenation of lakes (2)

Nenad Jaćimović (supervised by Takashi Hosoda and Marko Ivetić), defended 2007

▪ 3D flow modelling using finite-volume model SSIIM2

▪ Two equation turbulence model closure, solved on an unstructured multiblock grid

▪ Field measurements using ADCP

Uruguay RiverUruguay River

Mixing processes at river confluences

Field measurements at the confluence of Sava and Danube Riversfor 3D model validation

Dejana Đorđević (supervised by Miodrag Jovanović), defended 2011


• Numerical investigation of river confluence hydrodynamics (1)

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BR/ = 0.75

y / Bn [ / ]

1.00 0.75 0.50 0.25 0.00

1.00.80.60.40.20.0

zh

/[

/]

Bp

BR/ = 0.50

y / Bn [ / ]

Z[

m]

0.0

1.0

2.0

3.0

4.0

5.0

-2.00 -1.80 -1.60 -1.40 -1.20 -1.00 -0.80 -0.60 -0.40 -0.20 0.00 0.20 0.40 0.60 0.80 1.00v / U0

1.00 0.75 0.50 0.25 0.00

Bp

BR/ = 1.00

x/

Bn

=0

.10

y / Bn [ / ]

1.00 0.75 0.50 0.25 0.00

Bp

BR/ = 0.75

y / Bn [ / ]

1.00 0.75 0.50 0.25 0.00

1.00.80.60.40.20.0

zh

/[

/]

Bp

BR/ = 0.50

y / Bn [ / ]

1.00 1.10 1.20 1.30 1.40 1.50 1.60 1.70 1.80 1.90 2.00u / U0

BT / BMR = 1.00 BT / BMR = 0.75 BT / BMR = 0.50

30o

60o

90o

α

u / U0

v / U0


• Numerical investigation of river confluence hydrodynamics (2)

▪ Investigation of the effect of bed elevation discordance in confluences with different junction angles, channel width ratios, curvatures (bend radius) under different flow scenarios – different momentum flux ratios MR

▪ Results demonstrate that:

o Hager’s correction coefficient depends on the junction angle and MR ;

o channel width ratio has an adverse effect on the bank stability;

o in wide channels the effect of upstream planform curvature is negligible.

Dejana Đorđević (supervised by Miodrag Jovanović), defended 2011

Propagation of positive and negative wave

Laboratory installation


• Supercritical flow in circular conduit bends (1)

Milena Lučić (Kolarević) (supervised by Ljubodrag Savić), defended 2015

▪ Scale model at IHE and numerical experiment

▪ Effects of the curvature, deflection angle and approach flow conditions on inception of helical and choking flow

Flow for different bend curvatures

Experimental data and empirical relationships

1

3

5

7

9

11

13

0,1 0,3 0,5 0,7 0,9

Fr0

h0/D

Bez okretanja mlazaPrelaz na helikoidnoHelikoidno bez zagušenja tokaHelikoidno sa zagušenjem tokaNastanak helikoidnog tečenjaNastanak zagušenja toka

а)

b)

c)

а)

f)

e)

d)

1,4

00H

hC Fr

D

=

2,41

00

1

0,92Z

hC Fr

D

=


• Supercritical flow in circular conduit bends (2)

Milena Lučić (Kolarević) (supervised by Ljubodrag Savić), defended 2015

▪ Empirical relationships for prediction of helical and choking flow

▪ Numerical CFD model using ANSIS FLUENT 3D model for two-phase flow

▪ Calibration with scale model data

▪ Influence of larger pipe-diameters, Froude numbers, etc.

Computed air concentration


• SPH - Smoothed Particle Hydrodynamics (1)

Nikola Rosić (supervised by Ljubodrag Savić), in progress

▪ Mesh-free method

▪ Lagrangian formalism

▪ Interpolation theory

▪ Initially developed for astrophysical problems

▪ Free surface flows

▪ Multiphase flows

▪ Many questions remain unanswered on a theoretical ground (Convergence, Boundary conditions, Adaptivity…)

▪ Key issues in this thesis: Numerical stability, Open boundary conditions, Wall boundary condition

Nikola Rosić (supervised by Ljubodrag Savić), in progress


• SPH - Smoothed Particle Hydrodynamics (2)

▪ Case study - Supercritical flow in pipe bends

▪ Case study - 2D flow modeling in natural watercourses

Air-fraction profile Velocity profile

Flow field in the side-wall region

Budo Zindović (supervised by Radomir Kapor), in progress


• Converging stepped spillway flow (1)

▪ Scale-modelling of air-water mixture flow at the IHE

Air-fraction profile Velocity profile

Comparison of measured and simulated flow fields

disagreement

disagreement

Budo Zindović (supervised by Radomir Kapor), in progress


• Converging stepped spillway flow (2)

▪ Numerical modelling of multiphase flow

▪ Using finite-volume flow solvers: Ansys Fluent and OpenFOAM

▪ Results show that:

o side-wall convergence slightly reduces spillway energy-dissipation efficiency

o disagreement between measured and simulated flow fields, need further improvement of existing numerical models

Scale model

Bojan Milovanović (supervised by Ljubodrag Savić), in progress


• Hydrodynamic loads on stepped spillway and stilling basin (1)

▪ The influence of spillway geometry (i.e. the rate of narrowing and step height)

▪ The influence of flow parameters (flow rate and tailwater)

Analysis of results

Distribution of hydrodinamicpreassures measured at a one points

Distribution of hydrodynamic loadson the scale model

Bojan Milovanović (supervised by Ljubodrag Savić), in progress


• Hydrodynamic loads on stepped spillway and stilling basin (2)

▪ Measured distribution of hydrodynamic loads include

o Mean Pressures

o Mean Pressure Fluctuations

▪ Measurements were performed at:

o bottom of the stilling basin

o side-walls along the stilling basin

Industry cooperation

❑ Measurement of waste water in Belgrade sewerage system

❑ Mathematical Model of water quality in the Sava and Danube River in Belgrade using WASP 7.0

Visnjica

Ada Huja 1 i 2

Istovariste

6 7

4Dorcol

Usce

Lasta

Sajam

Dunav

Dunav

Sava

0

500

1000

1500

2000

2500

3000

3500

4000

4500

8/2

6/0

7

12:0

0 A

M

8/3

1/0

7

12:0

0 A

M

9/5

/07

12:0

0 A

M

9/1

0/0

7

12:0

0 A

M

9/1

5/0

7

12:0

0 A

M

9/2

0/0

7

12:0

0 A

M

9/2

5/0

7

12:0

0 A

M

9/3

0/0

7

12:0

0 A

M

10/5

/07

12:0

0 A

M

0

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

L/s

mm

m/s


❑ Advanced 2D and 3D hydraulic modelling:

- Study of the flow structure at the water intake Makis

- Study of hydraulic and morphological regime

at the Danube and the Sava confluence in Belgrade

- Revitalization of the streams on the Great War Island, confluence of the Danube and Sava - An action to preserve conditions for fish breeding

Hydraulic and Environmental Engineeringhttp://hikom.grf.bg.ac.rsIndustry cooperation

❑ Environmental and hydraulic engineering issues of Fly Ash Landfills

❑ Mine Tailings of major Thermal Power Plants and Mining Sites

❑ Environmental Impact Assessment studies of Planned and Constructed Dams and Reservoirs



❑ Urban Drainage modelling and technology Tradition world-wide recognized

o Rare and torrent surface flows

o Intensive underground circulation

o Ponors - Southern edge of poljes

o Springs - Northern edge of poljes

o Underground water flows to the lower erosion base level


❑ Deterministic modeling of runoff in the karst environment


❑ 3Dnet - an integrated environment for modelling of runoff in karst catchments

Application in:

▪ Stabilization of soil

▪ Self compacting and roller compacting concrete

▪ Durability of cement mortars and fine grained concretes

▪ Asphalt mixes for road structures

▪ Construction and maintenance of hydraulic structures (dams, embankments) and road infrastructures

▪ Environmental considerations


❑ Usage of Fly Ash from Thermal Power Plants

Chair and Institute of Hydraulic and Environmental Engineering

❑Call us: +381 11 3370206

❑or, visit us at:

http://hikom.grf.bg.ac.rs

Chair and Instituteof HEE

Faculty of Civil Enginering’smain building

440 48’ 21.22” N

200 28’ 40.48” E

Documents

Chair and Institute of Hydraulic and Environmental Engineeringhikomnew.grf.bg.ac.rs/ChairAndInstitute-2018.pdf · 2020-06-02 · Established in 2010 Mission: ... advanced modelling