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ATHINA ATHIANA MArch
Architectural
Design
BARTLETT SCHOOL OF ARCHITECTURE
Diploma in Architectural Engineering ARISTOTLE UNIVERSIT Y OF THESSALONIKI
A collection of Academic and Professional projects 2014-2019
AT H I N A
AT H I A N A
ARCHITECT GR Nevitt House N16TD, London | UK m: athiana.athina@gmail.com t: +44 7864215 917 Registered Architect
OBJECTIVES Increase my personal and professional knowledge and utilize my full potential to accomplish interesting architectural and urban design projects. Interested in working on creative and innovative design ideas based on computational tools & algorithmic processes.
WORK EXPERIENCE BARTLETT SCHOOL OF ARCHITECTURE Workshop Tutor | London, UK | 10/2019 Introduction workshop WS9: ‘Encoded Modular Systems, for the AD/AC students. Introduction to combinatorial logic, modular and computational design essentials based on a custom 3d CA algorithm.
P. MAKRIDIS+ ASSOCIATES SKILLS
Excellent oral & written communication skills Team player Organizing and Management skills Active, committed & hard worker Time management ability Work under pressure to achieve deadlines Consistent and reliable
SOFT WARE SKILLS Autocad 2D Rhinoceros 3D Maya 3D Studio Max Unity C# Vray
Photoshop Illustrator InDesign After Effects Premiere Keyshot MS-Office
Architect | Thessaloniki, Greece | 5/2017 - 9/2018 Development of architectural projects with diverse program, multiple scales and mixed uses, form urban design to interior renovations. Working from schematic design to the elaboration of construction drawings and construction permits under the supervision of the principal architect. Participated in competitions (3d modeling and architectural drawings).
RENE VAN ZUUK ARCHITEKTEN B.V Architectural Intern | Almere, the Netherlands | 8/2016 - 1/2017 Development of construction drawings and participation in the construction of Re-Settle Pavilion that was exhibited in Dutch Design Week 2016 in Eindhoven and representative of the office in the exhibition. Development of architectural drawings, 3d modeling and rendering for competitions. Responsibilities also included the design of company’s brochures and leaflets. In charge of the curation of the Exhibition ‘House of Arts’ in Almere for the foam cutting in January 2017.
‘REAL VIRTUALITY’ Volunteer | London, UK | 03/2019 Participation in the construction of the installation ‘Real Virtuality’ that was exhibited in the Royal Academy of Arts.
EDUCATION MArch Architectural Design [ Distinction ]
LANGUAGES Greek | Native Speaker English | Proficient IELTS 8.0/9.0 Michigan Certificate of Proficiency
Spanish | Moderate B2, National Language Certificate (KPG)
German| Basic B1, Zertifikat Deutsch B1
HONORS BPro 2019 Computation Prize
Bartlett School of Architecture | 2018-2019
Design Thesis Prize Bartlett School of Architecture | 2018-2019
Lilian Voudouri Masters Scholarship Lilian Voudouri Foundation | 2018-2019
Erasmus+ Scholarship Architectural Internship Scholarship| 2016
Bartlett School of Architecture, UCL | 2018 -2019
Diploma in Architectural Engineering Aristotle University of Thessaloniki [GPA: 8.97/10.00]| 2010 - 2017
High School Diploma General Lyceum of Thermaikos |General Grade: 19.1/20.00 | 2007-2010
WORKSHOPS ATTENDED Migrations, architecture and territory in times of change Universidade Lusófona de Humanidades e Tecnologias, Lisbon, Portugal | 2016
Viaduct: Scientific Analyses Seminar for the conservation of archaeological and architectural heritage. International conference Athens, Greece | 30/11-1/12/2015 Ecoweek Thessaloniki 2015: Sustainability in Public Space. Thessaloniki, Greece | 1-7/11/2015
Hellastock 2014: Architectural experimentation towards an ephemeral city. Athens, Greece| 28/8-4/9/2014
Fixies, Fluxes, Futures: Industrial Design workshop AUTH, Thessaloniki, Greece | 04/2014
CONFERENCES PARTICIPATED Wave: World Academic Expo 2016 |Participation with the design project “Paths of Senses”Public Space in Mikra District, with A. Voutsa | Thessaloniki, 2016
REFERENCES Petros Makridis +30 694 451 76 33 Rene van Zuuk +31 036 537 91 39
Exhibition for the 60th Anniversary of Aristotle University of Thessaloniki | Participation with the Diploma Design Thesis: “Warscape: An Aesthetics of Disappearance” | Thessaloniki 2016 DAKAM CPUD ‘16: International City Planning and Urban Design Conference on cities and city plans: the past and the future |‘From the orchards to community gardens_ Re-imagining Dialogi- District in Thessaloniki’ with A. Myserli and K. Varvatou | Instanbul 2016
DESIGN WORK SAMPLE
[01] NOMAS Nomadic Modular Adaptive System Academic Design- Research Project Bartlett School of Architecture 2018-2019 [02] ENCODED ASSEMBLIES Investigating Cellular Automata in Conway’s Game Of Life Academic Design- Research Project Bartlett School of Architecture 2018-2019 [03] WARSCAPE An Aesthetics of Disappearance Diploma Design Thesis Project Aristotle University of Thessaloniki, July 2016 [04] TRACES OF MEMORY Architecture Museum of Thessaloniki Academic Design Project Aristotle University of Thessaloniki, February 2015
[05] URBAN JUNGLE PLAYGROUND Nea Elvetia Park, Thessaloniki Professional project. Complete. 2018 [06] REDESING AND UPGRADE OF A HISTORIC URBAN AREA OF THESSALONIKI Fanarioton Square, Thessaloniki Professional project. Under construction. 2018- 2019 [07] RE-SETTLE - René Van Zuuk Architects Refugee Housing Competition Professional Project. October 2016
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Computation Prize BPro 2019 Type : Collaboration : Tutors : Host : Year :
Academic research project Athina Athiana, Evangelia Triantafylla, Ming Liu Tyson Hosmer, David Reeves, Octavian Gheorghiu, Panagiotis Tigas Bartlett School of Architecture - RC3 | Living Architecture Lab 2018-2019
Considering the world’s increasing digitally nomadic populations and short & long-term fluctuations of socio-economic requirements NoMAS is a platform that generates housing communities for digital nomads. Rather than owning a land, the nomad owns a digital footprint, with NoMAS offering potential places around the world for communities of nomads to live for periods of time. The project developed a custom wave function collapse algorithm utilizing a large catalogue of prefabricated spatial units. The algorithm generates valid connected spatial assembles 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 the physical environment. The project developed prefabricated composite monocoque components that are durable, lightweight, easily shipped, assembled and re-
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Design Thesis Prize BPro 2019
configured on site. A rendered image shows a large housing assembly generated using wave function collapse algorithm. Aggregation analysis catalogues were made using a custom wave function collapse algorithm, trained using machine learning to perform on various levels. The project is able to create large aggregations that respond to various request, both input by the users and demanded by the system. The aggregations are analyzed for multiple competing criteria- build volume, connectivity, structural performance and space typology- in order to inform the machine learning process, allowing the system to create aggregations that have a bigger degree of intelligence.
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Component Design & Combinatorial Design
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10
11
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container
component
interface
Catalogue of the small-scale components
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Wave Function Collapse aggregations
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Data Evaluation Algorithmic analysis and control mehanisms side view
built area
perspective
built space
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green space
built volume
0
MAX
structural stability
MIN
MAX
Algoritmic control Implementation Maximize built area
side view
perspective
built area
Minimize built area side view
perspective
built area
built space
green space
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Fabrication process - Monocoques structures Form and Shell Analysis Tubing & Electronic
Bolting System
Displacement
Surface
Utilization
Rib Structure
Assembled Structure
Glued Fabric Layer
Applied Fibre and wraped with Cling Film for Shaping
Shell Line
Van Mises Stress
Final Component
BPro Show 2019 - Pavilion Design
Ribs Design 14
Reconfiguration 01
Reconfiguration 02
Reconfiguration 03
Reconfiguration 04
BPro Show 2019 Prefabricated coconut-fibre composite monocoque prototype, in which components are bolted together in 1:1 scale. 15
NOMAS Interface as a digital platform NoMAS platform
Location Selection
Preferences Selection
Agent's Choice / Save the choice
Alternative offer from the platform
Final structure
The project involves the design of a digital platform that interacts with the user, allow him to ask for his personalized space and negotiates between the user preferences, the company benefits and the site constraints. Finally, the user can select between the solutions that the platform will generate or select NoMAS' offer, that would satisfy his demands in a lower level but could be more affordable. 16
Deployment Scenario NOMAS - Bali
Deployment Scenario NOMAS - London 17
ENCODED ASSEMBLIES Investigating Cellular Automata in Conway’s Game Of Life Type : Collaboration : Tutors : Host : Year :
Academic research project A. Athiana, Evangelia Triantafylla, Ming Liu Tyson Hosmer, David Reeves, Octavian Gheorghiu Bartlett School of Architecture - RC3 | Living Architecture Lab 2018-2019
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. 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. During the analysis process, we examined cellular automata behaviors according to some sets of parameters. These were: - 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.
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- The different interacting neighborhoods - Different sets of rules – for alive and dead cells-, and according to them - Quantifiable features as local or global density, age, and relation between the seed image and the stack. The metrics were used as a feedback mechanism in the triggering of local rules in order to develop a controlled growth model. Next Step was to
train a Genetic Algorithm based on the analysis outputs to achieve certain criteria and behaviors.
Extended Catalogues of Cellular Automata 19
Local Density Catalogue 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]
0
[6,8,2,6]
MAX
AgeTesting Catalogue
0
20
MAX
CA Rule Combination Catalogue & Algorithmic control 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]
40[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]
20[1,2,3,4]
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]
0 [2,3,3,3]
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]
30 [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]
1[5,7,3,5]
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]
0 [6,8,2,6]
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]
50 [6,8,2,6]
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]
1[2,3,3,3]
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]
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]
50 [6,8,2,6]
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]
20[3,3,3,8]
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]
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]
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]
0 [4,5,3,4]
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]
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]
10[2,3,3,3]
0 [2,3,3,4]
0 [4,6,3,5]
0 [4,5,3,4]
0 [2,3,3,4]
1[5,7,3,5]
0 [6,8,2,6]
0[4,5,3,4]
45 [6,8,2,6]
40 [6,8,2,6]
45 [6,8,2,6]
35 [4,6,3,5]
35 [5,7,3,5]
35 [4,6,3,5]
15 [1,2,3,4]
15 [1,2,3,4]
5 [1,2,3,4]
0 [3,3,3,8]
0 [3,3,3,8]
0 [4,5,3,4]
50 [6,8,2,6]
35 [2,3,3,4]
55 [6,8,6,2]
0[1,2,3,4]
50 [6,8,6,2]
40 [1,2,3,4]
30 [1,2,3,4]
15 [2,3,3,4]
15 [4,6,3,5]
30 [2,3,3,3]
10 [2,3,3,3]
0 [2,3,3,3]
0 [2,3,3,3]
0 [1,2,3,4]
0 [2,3,3,4]
50 [6,8,2,6]
50 [6,8,2,6]
50 [6,8,2,6]
45 [6,8,2,6]
20 [4,5,3,4]
20 [5,7,3,5]
20 [3,3,3,8]
20 [1,2,3,4]
10 [1,2,3,4]
10 [2,3,3,3]
5 [2,3,3,3]
5 [3,3,3,8]
0 [2,3,3,3]
0 [3,3,3,8]
0 [4,5,3,4]
60 [6,8,2,6]
55 [6,8,2,6]
20 [4,5,3,4]
25 [2,3,3,3]
5 [2,3,3,4] 0 [1,2,3,4]
45 [6,8,6,2]
62 [6,8,6,2]
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]
0 [1,2,3,4]
60 [6,8,2,6]
60 [6,8,2,6]
50 [6,8,2,6]
60 [6,8,2,6]
45 [6,8,6,2]
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]
45 [6,8,6,2]
35 [2,3,3,4]
45 [6,8,2,6]
25 [5,7,3,5]
25 [5,7,3,5]
5 [4,6,3,5]
5 [4,6,3,5]
0 [2,3,3,3]
40 [6,8,6,2]
0 [2,3,3,3]
60 [6,8,6,2] 20 [2,3,3,3] 10 [2,3,3,4] 0 [5,7,3,5]
35 [2,3,3,4]
55 [6,8,6,2]
60 [6,8,6,2]
25 [4,5,3,4]
35 [5,7,3,5]
20 [1,2,3,4]
15 [6,8,2,6]
20 [6,8,6,2]
10 [2,3,3,4]
0 [3,3,3,8]
0 [3,3,3,8]
0 [5,7,3,5]
40 [5,7,3,5]
0 [2,3,3,4]
Seed Images as initiliazer 21
Training a Genetic Algorithm TESTING 01 GENES GENE 1 LOW DENSITY RULES GENE 2 MODERATE DENSITY RULES GENE 3 HIGH DENSITY RULES GENE 4 DENSITY THRESHOLD [0.05 - 0.25]
FITNESS : 0.287
FITNESS : 0.286
FITNESS : 0.286
FITNESS : 0.286
FITNESS : 0.289
DEAD CELLS DENSITY : 0.892 PATTERNS : 5 2/3/4 ALIVE CELL PATTERNS : 1821
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 : 0.890 PATTERNS : 13 2/3/4 ALIVE CELL PATTERNS : 1834
DEAD CELLS DENSITY : 0.898 PATTERNS : 2 2/3/4 ALIVE CELL PATTERNS : 1794
FITNESS : 0.54
FITNESS : 0.54
FITNESS : 0.54
FITNESS : 0.53
FITNESS : 0.53
PATTERNS : 6 2/3/4 ALIVE CELL PATTERNS : 1209
PATTERNS : 6 2/3/4 ALIVE CELL PATTERNS : 7229
PATTERNS : 6 2/3/4 ALIVE CELL PATTERNS : 1995
PATTERNS : 9 2/3/4 ALIVE CELL PATTERNS : 1019
PATTERNS : 9 2/3/4 ALIVE CELL PATTERNS : 2182
FITNESS BOTTOM LAYERS DENSITY 50%
2-3-4 ALIVE CELLS 30%
PATTERN 20 %
SEED IMAGE
TESTING 05 GENES 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]
FITNESS BOTTOM LAYERS DENSITY 50%
2-3-4 ALIVE CELLS 25%
PATTERN 25 %
SEED IMAGE 22
Research Outputs
In order to automate the process of producing stacks with different features, we worked on training a genetic algorithm, based on quantifiable data. 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. The genetic algorithm was applied to the three-dimensional structures in order to build a table-like form. In order to achieve this, we evaluated the two-dimensional patterns produced by all the possible alive and dead cells combinations, in the Moore R1 neighbourhood. The fitness function was related with the patterns as well as the local and global density of the stacks.
TEST 1
TEST 2
TEST 4
TEST 3
TEST 5
LOCAL CONTROL FITNESS VARIABLES
GENES : AVERAGE DENSITY VALUE FITNESS : GLOBAL DENSITY LOW DENSITY PATTERNS CONNECTIVE PATTERN
GENES : DENSITY VALUE TENDENCY RANDOM RULE SELECTION FITNESS : GLOBAL DENSITY LOW DENSITY PATTERNS CONNECTIVE PATTERN
GLOBAL CONTROL
LOCAL CONTROL
GENES : DENSITY VALUE TENDENCY RANDOM RULE SELECTION
GENES : DENSITY VALUE TENDENCY RANDOM RULE SELECTION
GENES : DENSITY VALUE TENDENCY RANDOM RULE SELECTION
FITNESS : GLOBAL DENSITY LOW DENSITY PATTERNS CONNECTIVE PATTERN
FITNESS : LOW DENSITY PATTERNS CONNECTIVE PATTERN
FITNESS : LOW DENSITY PATTERNS CONNECTIVE PATTERN BOTTOM LAYERS DENSITY
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WARSCAPE An Aesthetics of Disappearance Type : Collaboration : Tutors : Host : Year :
Diploma Design Thesis A. Athiana K. Sakantamis (ksakanta@arch.auth.gr) Aristotle University of Thessaloniki 2015- 2016
Worldwide economic and social crisis has led to the underutilization of important districts and areas with a strong cultural & historical background. The project regards the case study of Angelochori, a coastal village in the southeast of Thessaloniki. It is located in the cape of “Megalo Carampournou” or “Megalo Emvolo”, translated as “Great Piston” that was created during the population exchange in 1923. Angelochori can be considered as a really preferential area, as it is in the entrance of Thermaikos bay, next to wetlands, lagoons and salt works, which has resulted in significant economic and tourism expansion. Although the area has a great natural and historical interest, it still remains untapped from the general public and the municipality. The study regards the redevelopment and the urban renewal of the cape of Megalo Emvolo that is a former military and naval fort, under the command of Hellenic Navy. Megalo
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Emvolo Cape is a district with significant historical and cultural background, that consists of an Ottoman Fortress dated back in 1883, a Lighthouse that forms a monument of industrial heritage, a Bunker used during World War II, as well as additional artillery. The thesis aims to highlight the natural beauty of the landscape, by exploring the complex relation between the natural and the built environment. As a result, the proposal focuses on the design of a War Museum that is fully integrated into the landscape, creating a modern fortress. The project location is considered as a “War Landscape”, and the special features of a War Machine are transformed into the concept of a building that is embodied to the environment, in order to be achieved a balance between the built and the natural elements, creating an ‘Aesthetics of Disappearance’.
4
8 9 5 6
8
1 2
3
7
Masterplan 1. 2. 3. 4. 5. 6. 7. 8. 9.
Main Museum Open Museum Main Path Amphitheater Additional Functions Lighthouse World War II Bunker Artillery Ottoman Fortress
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Conceptual Map of the project Location
City center of Thessaloniki
Angelochori Ancient City of Aeneas
Hellenic Navy Megalo Emvolo Cape Ottoman Fortress
Saltworks Lagoon
Village of Angelochori
Marina of small vessels 0
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50 100
200M
Exhibition Narratives- War Museum- Main Museum- Open Museum
Inside-outside
Linear skylights
The Museum was organized into two parts. The Main Museum that included bunkers architecture, additional artillery and military architecture. The experience of a robust- solid bunker was transferred into the design and was translated into metal racks, enclosed spaces, linear windows in order to maximize the user experience. The second part of the museum was the ‘Open Museum’ that highlighted the importance of ‘Megalo Emvolo’ as a military and naval fort at the entrance of the city of Thessaloniki
Enclosure
Imprisonment
Interiority
Bunkers of Atlantic Wall
Bunker Typology
Conceptual Sections
Panoramic View of the Proposal 27
Proposal War Museum- Architectural Drawings
[1]
[2]
[3]
8
A C
B
7
6 +12.00
3
3
2
3
9
1
+12.00
4
+12.00 +10.00
9 5
10 9 +10.00
E F
D
0
[1] Transversal Section [2] Longitudinal Section [3] Top View A. B. C. D. E. 28
Bunker- Artillery Military Architecture War Scenes from World War II Hellenic Lighthouses Foyer serving as a Hall for Contemporary
5 10
20
40Μ
1. Entrance 2. Foyer 3. Exhibition Halls 4. Shop 5. Office 6. Lockers 7. WC 8. Storage 9. Atrium 10. ‘Open’ Museum
Construction Section
1
2 3 4 5 6 7 8
9 10 11 12 13 14
1. Steel profile 2. Light conrete 3. Reinforced concrete 4. Waterproof sheets 5. Barrier layer 6. Insulation 7. Conrete slab 8. Metal rack
9. Conrete 10. Floor heating 11. Concrete slab 12. Waterproof sheets 13. Insulation 14. Ground
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View of the Hall A- “An Aesthetics of Disappearance”
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TRACES OF MEMORY Architecture Museum of Thessaloniki Type : Collaboration : Tutors : Host : Year :
Academic project A. Athiana, L. Kontozoglou N. Kalogirou, K. Sakantamis, A. Paka, M. Scaltsa, S. Lefaki Aristotle University of Thessaloniki 2014- 2015
The project’s aim is the design of a Museum of Architecture of Thessaloniki that will incorporate all the elements of its long architectural history. The thesis focuses on Thessaloniki’s architecture as a complex and fragmentary phenomenon. Thessaloniki is the second largest city of Greece and its architecture has always been a unique example of different kind of buildings, through its historical background. It is a mixture of modern buildings and monuments of different periods, which create the present-day character of the city. The different architectural elements are composing a web of traces of the multiple architectural phases Thessaloniki came through. The project is located in the vast area of Helexpo Expo Area in the center of Thessaloniki which is a void in the compact city grid. There are diverse land uses in the region. Two universities (Aristotle University of Thessaloniki, University of Macedonia), a number of museums
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(Museum of Byzantine Culture, Archaeological Museum, War Museum etc.) and a lot of sports facilities create a neighborhood that is full of life and young people. The goal is to create connections among those elements, surmounting the boundaries and making the museum a center of interest and a stop for the majority of people that walk by this region on a daily basis.
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Analysing the concept
[1] Connection of the points of interest
[3] The volumes break into seperate pieces
[5] The composition becomes more sculptural
[2] Creating two volumes
[4] The volumes emerge from the ground
[6] Final Composition
Building Program | Total of 6500 m2 Entrance Facilties 750 m2 Foyer - Entrance Meeting Point Checkroom- Lockers Cafe- Restaurant Shop
Circulation spaces 1000 m2 Mechanical spaces 500 m2 Facilities 1000 m2 Storage rooms Maintance rooms Working space
Main Exhibition 1850 m2
WC
Administration 200 m2
Temporary Exhibition 500 m2 Seminar Rooms 500 m
2
Auditorium Workshop 34
Private Office Open plan offices Meeting room
Library 500 m2 Digital library Research area Strudying area
Top View [Level A] 35
Panoramic View of the Museum
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“A space is something that has been spaced or made room for, something that is cleared and free, namely within a boundary, Greek peras. A boundary is not that at which something stops but, as the Greek recognized, the boundary is that from which something begins its presencing.� Heidegger
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URBAN JUNGLE PLAYGROUND Nea Elvetia Park Type : Collaboration : Client : Location : Area : Year :
Professional project Makridis Associates (info@makridisassociates.com) Municipality of Thessaloniki Nea Elvetia Park, Thessaloniki 1.270 m2 2018
The project regards the redesign of a playground which is part of a bigger project regarding the renovation of three playgrounds in Thessaloniki, Greece, funded by Stauros Niarchos Foundation (SNF) in cooperation with the Municipality of Thessaloniki. Makridis Associates was in charge for the improvement of the design and the elaboration of the architectural & construction drawings of the initial proposal provided by the Municipality of Thessaloniki. The proposal for ‘Urban Jungle Playground’ regards the redesign and regeneration of a former playground area in the heart of the park of New Elvetia, in East Thessaloniki, Greece. New Elvetia Park is one of the biggest and oldest parks of east Thessaloniki, forming a great green public space for the residents. The Playground is nestled amidst mature pine trees and the new design works seamlessly within this natural context, creating the concept of ‘safari’. The proposal focuses on the creation of
organic elements that could be a reference to the footprints of a wild animal forming a natural pattern on the ground. The renovated playground takes advantage of the existing trees, with separate play areas, organized according to age and play ability, threaded together by a main path that connects the two entrances. The design of the new playground is accordingly to the restricted rules provided by European Union creating a safe and controlled public space for children, with certified materials and play structures. As part of the studio I was in charge for the elaboration of the architectural, construction drawings and details for all the three playgrounds. The construction of the project was completed in November 2018.
© Copyright 2018 MAKRIDIS ASSOCIATES, All Rights Reserved
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© Copyright 2018 MAKRIDIS ASSOCIATES, All Rights Reserved
© Copyright 2018 MAKRIDIS ASSOCIATES, All Rights Reserved
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Construction Details
1. Wooden deck 20x2 mm 2. Wooden sticks 80x40 mm 3. Gravel 3A, 20 cm 5. Ground
[1]
[3]
1. Cast rabber safety flooring 2. Concrete slab 12cm 3. Gravel 3A, 2x15 cm
[2]
1. Ceramic cast floor 2. Gravel 3A, 2x15 cm 3. Ground
[4]
1. Concrete slab 60x7mm 2. Cement Mortar 3. Ground
Construction drawing of a bench
© Copyright 2018 MAKRIDIS ASSOCIATES, All Rights Reserved
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1. Tree trunk r=22.5cm,
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2. Concrete slab 12cm
2
3. Wooden beam 4.5cm
3
4. Frame of reinforced concrete
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© Copyright 2018 MAKRIDIS ASSOCIATES, All Rights Reserved
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REDESING AND UPGRADE OF A HISTORIC URBAN AREA OF THESSALONIKI Type : Collaboration : Client : Location : Area : Year :
Professional project Makridis Associates (info@makridisassociates.com) Municipality of Thessaloniki Gounari, Kallari & Mitropoleos Streets & Fanarioton Square, Thessaloniki 9.500 m2 2018-2019 (Under Construction)
The project aims to upgrade the public space in this particular area of the city’s center and highlight the historic axis of Roman Thessaloniki. It is materialized through a donation of Stavros Niarchos Foundation to the Municipality of Thessaloniki. The study is focused on: - Reclaiming the public space of this part of the city’s historic center through redesigning and transforming the fragmented urban area, now congested with parking spaces, into a sustainable, citizen-friendly urban environment. -Promoting the monumental axis of D. Gounari Street, which connects the Galerian complex, the Rotunda, and the Tower of Trigonioum with the city’s waterfront. -Redeveloping and upgrading Fanarioton Square, the surrounding streets, and the currently neglected archaeological site around the church of Nea Panagia. -The conservation, restoration, and accentuation of the archaeological findings of the Ancient Hippodrome of Thessaloniki.
-Securing sustainable urban mobility in the area, through the creation of moderate circulation streets with parking spots exclusively for the disabled and the improvement of pedestrian, disabled and bicycle circulation. -An overall increase of the area’s green spaces (existing: 650m2, proposed: 1,460m2), which enables natural lighting, shading and ventilation, and also the formation of water elements in order to enhance local microclimate. As part of the studio I was in charge for the elaboration of the architectural, construction drawings of the overall project and part of the details. The project is currently under construction. The construction is going to be complete in November 2019.
© Copyright 2018 MAKRIDIS ASSOCIATES, All Rights Reserved
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View from the P. Mela Street © Copyright 2018 MAKRIDIS ASSOCIATES, All Rights Reserved
Panoramic view of the Fanarioton square © Copyright 2018 MAKRIDIS ASSOCIATES, All Rights Reserved
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Detail
Masterplan 44
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5
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40Μ
Water Tank detail drawings
marble coating 5x30cm
marble coating 5x30cm
marble coating 3x45cm
marble coating 3x45cm epoxy
epoxy
mold geotextile 150gr/m2
metal profile 80x40x3mm binding mortar 4cm Waterproof sheets Joint 7cm reinforced concrete C20/25 cement mortar
metal profile 30x05mm membrane (0.94 g/m3 ) cement mortar binding mortar
mortar
cement mortar
concrete C20/25, 25cm reinforced concrete concrete 7cm gravel 15cm ground
concrete 5cm concrete C20/25, 25cm concrete 7cm gravel 15cm sand
Detail
water tank concrete parapet with marble cover
water tank concrete parapet
Section
Top View Š Copyright 2018 MAKRIDIS ASSOCIATES, All Rights Reserved
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RE-SETTLE
René Van Zuuk Architects Type : Collaboration : Location : Year :
Professiona Project René Van Zuuk Architects Eindhoven, the Netherlands 2016
Re- Settle was designed by Rene van Zuuk Architects as a proposal for the refugee crisis housing problem. Re-Settle is made out of foam cut with hot wire cutter, controlled by a computer. Foam blocks are cut in such a way so that one cut is both the inside of the first element and the outside of the next one. The foam elements are put one on top of each other in order to build the tower. What is more, this technique allows the minimum waste of material. Transportation and construction gets extremely easy and fast as no foundation is needed. Foam is both structure and insulation at the same time. Re-Settle was one of the six winning proposals at the ‘A home away for home’ Competition for the refugee housing problem in the Netherlands held in June of 2016. The winners were given the opportunity to transform their design concepts into a full scale prototype.
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During my Internship I had the opportunity to work on this project and participate in the construction of the prototype on 1-1 scale. The pavilion was presented in the international Dutch Design Week in October 2016, in Eindhoven, the Netherlands. [1]
[2]
[3]
[4] [1] Eps Foam Blocks- initial phase of construction [2] Building Re-Settle Pavillion in Almere [3] [4] Re-Settle Pavilion in DDW 2016 in Eindhoven 47
AT H I N A AT H I A N A O C TO B E R 2 019