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PORTFOLIO

Evangelia - Despoina Triantafylla MArch Architectural Design | UCL | The Bartlett Dipl. Arch. Eng. Aristotle University of Thessaloniki


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a sample of works

Evangelia - Despoina Triantafylla triantafilla.eva@gmail.com 3


Between the Pumice and the Aegean Landscape: Resort and Thermal Baths at Gyali, Dodecanese

Diploma Design Project - Aristotle University of Thessaloniki Instructor: Spyros Papadimitriou Collaborator: Maria Petrou Date : June 2018 The project proposes the design of a resort with thermal baths at the desolate island of Gyali in Dodecanese, Greece. Gyali is a volcanic island and is regarded as a part of the neighbouring island of Nisyros. The island comprises a peculiar landscape overall, consisting of rhyolitic obsidian lava domes in the northeastern part and pumice deposits in the southwestern part. It has a population of 12 people, who work as miners at the two mines operating on the island. The project covers an area of about 5000m2 at the southwestern part, which is undergoing pumice strip mining and aims to rehabilitate the site after the mine operation, by creating a resort with thermal baths, utilizing the healing sulfur waters of the area.The pumice landscape, a valley and surrounding hills, alongside with the remnant of the mining activity and the sea water are the dominant elements, giving the area a unique identity. Thus, the building complex is located on a hill, lying halfway between the coast and the valley, with the accommodation units being on the southeastern part of the hill, in connection with the beach, and the rest of the facilities on the northwestern part, looking at the valley.

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Dodecanese island chain

Boundary

Access - Existing Routes

Spots of interest

5

Seabed


Proposal

terrain

approach

paths

built

distribution

connection

Broader Area - Site Plan

0

25

50

100m

6


Site Plan

0

5

10

25m

Section a-a

+34.00 +30.00 +24.00 +20.00 +13.00 +11.00

+0.00

7


The adaption to the natural inclination in combination with the creation of different spatial identities were the starting points of the proposal. The design of the complex is based on the vertical surface as an element, noticed as dominant at the settlements of Nisyros. Thus, surfaces are combined in different forms and sequences, in order to border the connecting routes among the different buildings and at the same time enhance the spatial experience by creating focused views, visual continuity or discontinuity, imposing or subtle boundaries. The facilities on the two sides of the hill communicate through underground connections, commenting on the mining activity. connection

partition

distribution

retaining wallsboundaries

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Focused Area A - plan

1. Type A room [sample plan] 2. Type B room [sample plan] 3. Bar area 4. WC - douche 0

5

10

25m

Section b-b

Section c-c

9


1. Bike/ mini car station

2. Reception 3. Mini market 4. Laundry-storage 5. WC 6. Administration office

7. Library 15. Douche - Lockers 8. Cafe-bar 16. WC 9. WC 17. Indoor Pool 10. Storage 18. Indoor Pool 11. Restaurant 19. Indoor Pool 12. Outdoor pool 20. Sauna 13. Thermal baths 21. Massage rooms 14. Changing rooms 22. Relaxing room

0

Focused Area B - plan

5

10

25m

Water is considered to be a symbol of mental and physical healing and thus, combined with the therapeutic properties of sulfur led us to design facilities and activities aimed at treating body and mind. The activities are mainly outdoor, while the resort facilities include the reception, a shop, 33 accommodation units, thermal baths, a restaurant, a library and auxiliary spaces all of them in separate buildings –variants of the original accommodation unit.

dry areas

wet areas

private

public

resting massage heating

bathing

undressing

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Section d-d

Baths space - interior

11


type A room

type B room

12


Type A room - interior

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NoMAS

Nomadic Modular Adaptive System Academic Project - Bartlett School of Architecture | UCL Instructors: Tyson Hosmer, David Reeves, Octavian Gheorghiu Collaborators: Athina Athiana, Ming Liu Date : September 2019 NoMAS is a digital platform that generates housing communities for digital Nomads. NoMAS is framing a global co-owning concept, developing adaptive housing systems, specific to the needs of every nomad, tackling the problem of traveling and owning. It proposes a new model of ownership based on buying the amount of space that every individual can afford. The space that an individual owns doesn’t have a physical footprint, but a digital one, given the opportunity to the nomad travel all around the world, where the platform provides available places, and still own the same amount of space. In order to do so, it proposes the use of prefabricated components bolted together, shipped, and assembled on site, generating reconfigurable spaces.

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The project developed a custom Wave Function Collapse algorithm, utilizing a large catalogue of spatial untis.The algorithm generates valid connected spatial assemblies through constraints. The algorithm was then trained using deep reinforcement learning to negotiate the competing multi-objective spatial requirements and desires of multiple users, NoMAS and physical environment. Components Design Logic

Components catalogue

[1]

[2]

[3]

[4]

[5]

[6]

[7]

[8]

[9]

[10]

[11]

[12]

Components Iteration 15


Algorithmically Generated Structures 16


built area

perspective

built space

built volume

green space

0

MAX

Data Analysis 17

structural stability

MIN

MAX

type of space

type A

type B


side view

perspective

built area

Minimize built area

Maximize built area

Maximize A type of space

Maximize B type of space Control Implementation 18


1. Platform start screen

2. Platform main menu

3. Selected Location menu

4. Selected Location - existing structure

5. Possible space allocation and configuration

6. User’s choice versus company’s offer

The project involves the design of a digital platform that interacts with the user, allow him to ask for his personalized space and negotiates among the user demands, the company benefit and the site constraints. Finally, the user has the ability to select among the possible solutions that the platform will generate or select the company’s offer, that would satisfy less his demands but be more affordable. 19


Turbing & Electricity

Holes for Bolting

[Displacement]

[Shell Line]

Overall Rib Structure

Surface & Insulation

[Utilization]

Monocoque structure diagram

B-Pro show pavillion diagrams

Shell analysis, used to explore fiber patterns

Alternative configurations of spatial units

Fabricated physical prototype | scale:1-1 20

[Van Mises Stress]


Seaside NoMAS structure 21


Encoded Assemblies Academic Project - Bartlett School of Architecture | UCL Instructors: Tyson Hosmer, David Reeves, Octavian Gheorghiu Collaborators: Athina Athiana, Ming Liu Date : December 2018 The project investigates Cellular Automata and specifically Conway’s game of life. Game of life is an infinite two dimensional, orthogonal grid of squares, representing cells in two possible states – alive or dead. Every cell interacts with its neighboring cells and according to some specific rules retains or changes its state. By using Game of ife in three dimensions, analysing generated quantifable data and modifying the game rules, the project gains control over the states of the game towards generating desirable results that assimilate table structures. Furthermore, it explores the potentials of improving the solutions, implementing intelligence to the model through a genetic algorithm.

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Game of life was the starting point, in order to evaluate three dimensional structures, or stacks. This was achieved by setting some specific grid boundaries (dimensions) and extracting every new state of the grid upwards, so that each new state represents another layer of the stack.

3D GAME OF LIFE

STACK

During the analysis process, cellular automata behaviors were exmined according to some sets of parameters. These were :

CELL LAYER

ALIVE || DEAD CELLS

- The seed of the stack, meaning an image at the dimensions of the grid in which we tested from simple examples as dots and lines to more complex ones, combinations of them. - The different interacting neighbourhoods - Different sets of rules – for alive and dead cells-, and according to them - Quantifable features as local or global density, age, and relation between the seed image and the stack, which will be explained in detail.

SET OF RULES

NEIGHBORHOOD

CA structures - testings 23


SEED IMAGE

RULE [1,2,3,4]

[2,3,3,3]

[2,3,3,4]

[3,3,3,8]

[4,5,3,4]

[4,6,3,5]

[5,7,3,5]

Local Density Catalogue

SEED IMAGE

0

[6,8,2,6]

MAX

RULE [1,2,3,4]

[2,3,3,3]

[2,3,3,4]

[3,3,3,8]

Age Testing Catalogue

[4,5,3,4]

[4,6,3,5]

[5,7,3,5]

0 24

[6,8,2,6]

MAX


RULE [1,2,3,4]

[2,3,3,3]

[2,3,3,4]

[3,3,3,8]

[4,5,3,4]

[4,6,3,5]

[5,7,3,5]

[6,8,2,6]

0.155

0.062

0.229

0.313

0.049

0.0534

0.314

0.587

0.120

0.055

0.253

0.257

0.022

0.532

0.312

0.609

0.051

0.058

0.215

0.388

0.043

0.516

0.268

0.586

0.17

0.003

0.036

0.003

0.056

0.288

0.211

0.718

0.250

0.108

0.303

0.414

0.017

0.612

0.314

0.532

0.1

0.088

0.28

0.45

0.12

0.63

0.41

0.51

Local Density Graphs

SEED IMAGE

RULE [1,2,3,4]

[2,3,3,3]

[2,3,3,4]

[3,3,3,8]

First Layer Pattern Catalogue 25

[4,5,3,4]

[4,6,3,5]

[5,7,3,5]

[6,8,2,6]


60 [6,8,2,6]

60 [6,8,2,6]

60 [6,8,2,6]

50[2,3,3,4]

50[2,3,3,4]

50[2,3,3,4]

1[2,3,3,3]

1[2,3,3,3]

1[2,3,3,3]

5[1,2,3,4]

40[6,8,2,6]

3[2,3,3,3]

0 [6,8,2,6]

0 [5,7,3,5]

0 [4,6,3,5]

0 [3,3,3,8]

0 [2,3,3,3]

0 [4,5,3,4]

50[5,7,3,5]

50[2,3,3,4]

50[4,6,3,5]

60[4,6,3,5]

60[2,3,3,4]

60[2,3,3,4]

20[2,3,3,4]

10[1,2,3,4]

20[1,2,3,4]

40[6,8,2,6]

40[6,8,2,6]

40[6,8,2,6]

0 [2,3,3,3]

0 [5,7,3,5]

0 [2,3,3,4]

0 [2,3,3,3]

0 [2,3,3,3]

0 [1,2,3,4]

30 [6,8,2,6]

50[6,8,2,6]

50[6,8,2,6]

50[6,8,2,6]

50[6,8,2,6]

50 [4,5,3,5]

5[5,7,3,5]

20[2,3,3,3]

30[2,3,3,3]

10[4,6,3,5]

1[2,3,3,4]

0 [6,8,2,6]

0 [1,2,3,4]

0 [4,6,3,5]

0 [2,3,3,4]

0 [4,5,3,4]

0 [6,8,2,6]

50 [6,8,2,6]

60 [6,8,2,6]

50 [6,8,2,6]

50 [6,8,2,6]

50 [6,8,2,6]

50 [4,6,3,5]

20[2,3,3,3]

20[2,3,3,3]

20[2,3,3,3]

20[2,3,3,3]

20[2,3,3,4]

0 [1,2,3,4]

0 [1,2,3,4]

0 [2,3,3,3]

0 [2,3,3,4]

0 [4,6,3,5]

0 [2,3,3,3]

50 [6,8,2,6]

50 [6,8,2,6]

50 [6,8,2,6]

50 [6,8,2,6]

30 [6,8,2,6]

50 [6,8,2,6]

20[4,6,3,5]

20[4,6,3,5]

20[4,6,3,5]

20[2,3,3,3]

10[4,5,3,4]

20[4,5,3,4]

0 [2,3,3,3]

0 [1,2,3,4]

0 [4,5,3,4]

0 [4,6,3,5]

0 [6,8,2,6]

0 [2,3,3,4]

30 [6,8,2,6]

50 [6,8,2,6]

50 [6,8,2,6]

50 [6,8,2,6]

50 [6,8,2,6]

50 [6,8,2,6]

10[4,5,3,4]

30[4,5,3,4]

10[2,3,3,3]

10[2,3,3,3]

0 [6,8,2,6]

0 [2,3,3,4]

0[4,5,3,4]

0[1,2,3,4]

0 [4,6,3,5]

0 [4,5,3,4]

50 [6,8,2,6]

50 [6,8,2,6]

45 [6,8,2,6]

40 [6,8,6,2]

45 [6,8,6,2]

62 [6,8,6,2]

20 [5,7,3,5]

20 [3,3,3,8]

20 [1,2,3,4]

10 [2,3,3,3]

5 [2,3,3,3]

5 [3,3,3,8]

0 [3,3,3,8]

0 [4,5,3,4]

55 [6,8,2,6]

1[5,7,3,5]

30 [4,5,3,4] 5 [2,3,3,3]

30 [4,5,3,4]

5 [5,7,3,5]

0 [4,5,3,4]

0 [2,3,3,3]

0 [2,3,3,3]

60 [6,8,2,6]

60 [6,8,2,6]

50 [6,8,2,6]

60 [6,8,2,6]

25 [2,3,3,3]

35 [1,2,3,4]

20 [2,3,3,3]

25 [2,3,3,3]

20 [2,3,3,3]

5 [4,6,3,5]

13 [2,3,3,4]

13 [3,3,3,8]

13 [4,6,3,5]

10 [2,3,3,4]

5 [4,5,3,4]

0 [1,2,3,4]

0 [2,3,3,3]

0 [2,3,3,3]

0 [4,5,3,4]

0 [5,7,3,5]

0 [1,2,3,4]

0 [1,2,3,4]

45 [6,8,6,2]

Seed Images used

CA Rule combination catalogue

After the detailed analysis of the input parameters and the different behaviours of the design model, the metrics were used as a feedback mechanism in the triggering of local rules in order to develop a controlled growth model. Specifically, the selected rules were grouped in 3 sets, according to the density values they produced, and different density and layer thresholds 26


After that and In order to automate the process of producing stacks with different features, according to quantifiable data, a genetic algorithm is used.

SURFACE - LIKE

The genetic algorithm was implemented to the three dimensional structures in order to produce desirable forms with specific features.The desirable output was a table – like form, which was translated into quantifable data, that were intended to achieve. MODERATE- LOW BODY DENSITY

In order to achieve this, the two dimensional patterns that can be produced by all the possible alive and dead cells combinations in the moore R1 neighbourhood were evaluated. The fitness function was chosen to be related with the patterns of the less alive cells, so that a low global density value could be achieved, as well as with some specific patterns of more alive cells, which were expected to attribute more stability to the structures. Three sets of rules from the previous analysis process were selected to be used as genes, with low, moderate and high average density values, which are locally controlled through the fourth gene, a density threshold, related to the previous layer density in each case.

DENSE BOTTOM

Defining the table-like form

Cell 01 Cells 02

Cells 03

Cells 04

Cells 05

Cells 06

Cells 07

Cells 08

Cells 09

Pattern evaluation in Moore R1 neighborhood

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The research process can be summarized in constantly changing variables, regarding the genes and the fitness function, in order to trigger the desirable outcome, but also achieve a junction between a high fitness value and the table-like form.

First testing | 5 generations of 10 individuals

Last testing | 5 generations of 10 individuals 28


FITNESS

GENES GENE 1 | GENE 2 | GENE 3 | GENE 4 |

LOW DENSITY RULES MODERATE DENSITY RULES HIGH DENSITY RULES DENSITY THRESHOLD: [0.05 - 0.25]

SEED IMAGE

DEAD CELLS DENSITY

2-3-4 ALIVE CELLS

PATTERN 20%

30%

50%

FITNESS : 0.286

FITNESS : 0.286

FITNESS : 0.289

FITNESS : 0.287

FITNESS : 0.286

DEAD CELLS DENSITY : 0.878 PATTERNS : 15 2/3/4 ALIVE CELL PATTERNS : 2072

DEAD CELLS DENSITY : 0.878 PATTERNS : 15 2/3/4 ALIVE CELL PATTERNS : 2072

DEAD CELLS DENSITY : 0.898 PATTERNS : 2 2/3/4 ALIVE CELL PATTERNS : 1794

DEAD CELLS DENSITY : 0.892 PATTERNS : 5 2/3/4 ALIVE CELL PATTERNS : 1821

DEAD CELLS DENSITY : 0.890 PATTERNS : 13 2/3/4 ALIVE CELL PATTERNS : 1834

First Testing | most fit individuals

FITNESS

GENES

2-3-4 ALIVE CELLS

25 %

50%

BOTTOM LAYERS DENSITY

SEED IMAGE 25%

GENE 1 | INCREASING DENSITY SET OF RULES GENE 2 | SET OF ALL RULES GENE 3 | FLUCTUATING DENSITY SET OF RULES GENE 4 | DENSITY THRESHOLD: [0.05 - 0.25]

PATTERN

FITNESS : 0.54

FITNESS : 0.54

FITNESS : 0.54

FITNESS : 0.53

FITNESS : 0.53

PATTERNS : 6 2/3/4 ALIVE CELL PATTERNS : 1995

PATTERNS : 6 2/3/4 ALIVE CELL PATTERNS : 1209

PATTERNS : 6 2/3/4 ALIVE CELL PATTERNS : 7229

PATTERNS : 9 2/3/4 ALIVE CELL PATTERNS : 2182

PATTERNS : 9 2/3/4 ALIVE CELL PATTERNS : 1019

Last Testing | most fit individuals

TEST 1

TEST 2

ADD LOCAL CONTROL

SWITCH PATTERN SWITCH FITNESS VARIABLES

TEST 5

TEST 4

TEST 3

SWITCH PATTERN

REMOVE GLOBAL CONTROL

TEST 6

ADD LOCAL CONTROL

Research process 29


Interactive Optical Device Design studio - Aristotle University of Thessaloniki Instructors: Spyros Papadimitriou, Dimitris Kontaksakis Collaborator: Maria Petrou Date : June 2016

The project focuses on the research and design of a ‘deep’, interactive surface which is formed to shape the shell of a hybrid existing building in the center of Thesssaloniki, Greece. The 8-storey building is also designed in the interior and attributed to use.

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The design process begins with experiments on concave and convex semi-transparent mirror surfaces to extract principles about the reflections and reformations produced when a light source includes on them. These principles are used to produce a digital dynamic model -mechanism that will form the ultimate form of the shell by trying different variables.

convex

convcave

Experiment A

The first experiment examines differences in the reflection and reformation of a certain light source on concave and convex surfaces of equal circle radius and curvature size in each case. The outcome is that the light is reflected equally but in the opposite angle of the surface comparing curved and convexed ones. The second experiment examines differences in the reflection of a certain light source on curved surfaces of equal circle radius but progressivly increasing in curvature size. The outcome is that the light reflection covers a progressively larger area of the surface, as the curvature sizes increases.

lighting

Experiment B 31

shadows


The dynamic digital model-mechanism is developed on the basis of a rectangle divided threefold both in x and y axis. The nine centers of the new rectangles are the variable points while the junctions of the grid constitute the stable points. By changing the variables along the z axis different surfaces are generated, producing different reflections and reformations. These surfaces will be used in the next phase as the units of the ultimate shell . Abstract Mechanism

Sample Reconfigurations 32


a

4

7

6

2

4

3

b

b 1. entrance 2. self-check-in area 3. waiting area 4. living room 5. buffet/bar 6.restrooms 7.patio

5 4

3

1

Ground Floor Plan

a

a

1

1 5 4 1

3

b

b

1

1

1

1

1

1

1. room 2. disabled-friendly room 3. ironing room 4. storage room 5. elevators

2

Floors 1-7 Plan

a

a

2

6 5 6

3 4

b

b

1

1

1

1

1

1. meeting room 2. working area 3. waiting area 4. phone room 5. restrooms 6. elevators

Floor 8 Plan

a

33


Section a-a

Section b-b

Taking into consideration what the area needs, the building is attributed to the use of a new kind of hotel that meets the demands of constantly-travelling people, who replace home with the hotel environment. Thus, it is designed to provide affordable comfort to rooms and public spaces, by minimizing unnecessary staff and removing useless furniture. Accordingly, the ground floor and semi-floor are covered by different kinds of cozy living rooms and a bar , while in the next 7 floors there is one kind of room dominated by a king-size bed with a shower and a lavatory , which are grouped in zones for every two rooms. Floor 8 is designed to provide work space and meeting rooms with a panoramic view of the city. Perspective section

fire resistant plasterboard knauf DF, 18mm sleeper UW - profile, 75mm stud CW - profile, 75mm

aliminium profile, 10mm insulating glass system alumil M4 reflective glass pnel PPG Solarcool

Glass facade construction detail 34


Each glass panel of the shell assimilates a surface produced by the mechanism designed in the previous phase. Three kinds of such panels are used, referring to the altering variables and grouped to organize the building shell in horizontal zones. Exceptions are three points, where similar formed panels are placed vertically, in order to mark the entrance and the two endings of the aisle outside the rooms. The different kinds of curved surfaces as a whole aim at producing an eye-catching visual effect and monitoring the relationship between the inside and the outside of the building.

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Aqua Destino Workshop project- Bartlett School of Architecture Instructors: Vallie Alamanou, Mikaela Psarra Collaborators: Evgenia Krassakopoulou, Konstantina Bikou Date : September 2018

Aqua Destino is an underwater garment, designed during the workshop ‘Digital Textiles’. The proposal is based on the design of a “breathing” textile, that has the ability to absorb and eruct water, waving and accelerating the underwater movement. Main element of the proposal is the design of a component in a hydrodynamic shape, that can be combined in different scales and patterns to form the overall garment.

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Nature & Space Constructions Design studio - Aristotle University of Thessaloniki Instructors: D.Kontaksakis, N.Tsinikas Collaborators: Maria Petrou, Fenia Papadouli Date : June 2017 The project involves the design of three space structures in relation with physical forms, inspired from nature and biology. The first conceptual idea is based on a treelike structure, the second on a tensile membrane and the third on an inflatable sphere, while all of the models have as a common the integration of a kind of grid in the structure, as an element found in various forms in nature, as well as in microorganisms in the microscope. The construction of a model in each case is followed by giving a potential use to the structure in the public space.

38


tree-like structure

tensile membrane

inflatable structure 39


Recreation canopy Design studio - Aristotle University of Thessaloniki Instructor: Stamatis Koukopoulos Collaborator: Maria Petrou Date : June 2016 The project focuses on the design of a modern canopy at the courtyard of a private residence, for a five-member family. It is requested that the proposal includes permanent table and seating, extra folding seats, kitchen, barbeque, wood stove and wood storage, while the space is intented to be used throughout the whole year, except from winter months. The proposed canopy is a concrete structure, with triangular patterns, supported by two metal beams that also work as stormwater tubes. The whole structure was designed in detail.

cement mortar reinforced concrete gravel drainage sand soil

Perspective Section 40 夀ꀃ鼃鰃鴃霃鰃鄃 ꔃ鬃餃騃꤃鴃

쌃먃촃섃넃


鄃ꄃ餃頃鰃鼃ꌃ ꌃ꜃

鄃 ㄀

Plan

construction detail 02

construction detail 01 cement mortar reinforced concrete gravel drainage sand soil

Section B-B 41

夀ꀃ鼃鰃鴃霃鰃鄃 ꔃ鬃餃騃꤃鴃


metal grate 3mm galvanized sheet 3mm wood flooring for outdoor space 20mm wood beam 6x6mm metal profile 10mm metal slab 7mm

forged cement 20mm concrete layer 60mm shaped strip foundation of reinforced concrete drainage double layer 30mm gravel sand

Construction detail 01

reinforced concrete slab 120mm metal slab 7mm insullating polyurethane layer 50mm metal anchor plug main fixings guide 60x27 fireproof plasterboard 1125mm

net 1mm metal funnel 4mm

metal beam 4mm

Construction detail 02

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cement board 10mm cement mortar 20mm expanded perlite insulation 70mm reinforced concrete wedge firebrick 110x110x40mm fireproof slab 220x110x40mm chequered steel plate 5mm reinforced concrete header 30mm adobe 20mm

Wood stove construction

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44


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Profile for Evangelia D Triantafylla

Evangelia Triantafylla | Architecture Portfolio  

Evangelia Triantafylla | Architecture Portfolio  

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