“we artists allow others to see through our windows.” Robert Genn

.”“”

iginodeoliveira

letter something about me

what I have learned what I would like to learn

Igino de Oliveira Silva Junior21 years old I am writing this letter to express my interest in applying for your internship. Therefore, I am currently a Brazil Science Without Borders Scholar, attending Architecture and Urban Planning.

I believe in the training that I already have, thus the diversi�cation of my little professional experience allow me to accept challenges involving the profession of architecture, from the urban planning to architectural design, constructive problem-solving and technical and moni-toring of work in a responsible manner. I am committed and creative and I have team spirit, familiarity with the approach at di�erent scales, architectural and urban, interest and constant motivation in the study of Architecture and its relationship with construction works, in addi-tion, a strong desire to learn through multidisciplinary professional experiences.

In Brazil, I am used to study in the Federal University of Ouro Preto, an important and well-known university of Brazil. It is situated in Ouro Preto, a national historical heritage city because of its numerous preserved baroque and rococo arts. With a hilly landscape, we always have to face the problems of topography and heritage laws, thus every project is a challenge.

Thank you for your consideration. Sincerely,Igino

Our

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studio I86 m²

house in structural / flexible masonry

The proposed site is pretty compact (4.40 m x 40m). Then, the design had to �t in this guideline and the solution was to articulate the spaces around a central void that would provide lighting for almost all areas of the house, and respecting the rules, it was not possible to create openings in their side walls and break the rules established by IPHAN - Institute of Historical and Artistic Herit-age because my university is situated in a historical Brazilian city. Furthermore, was suggested a breakdown of the constructed area which can beused in various ways, also generating an internal courtyard. The access from the garage to the house is by stairs that became less tiring, for their shape, through large levels that allow a better view of Ouro Preto horizon. The goal was to make a quality project, respecting the topography and the requirements of �exibility.

First project

0 1 2 4m

two-dimensional representation

�rst �oor

second �oor

third �oor

layout 1

N

servicearea

kitchen

livingroom bathroom

commerce

garden

belvedere

bathroombedroom

closet

garage

vegetation area

I = 3

0%

I = 30%

0.0

-1.10

1.80

3.60

-5.15

-10.0

garden-7.20

01

shades of pink = garage

shades of green = garden

shades of blue = residence

shades of red = work slab garden

01

02

03

04

�exibility scheme

three-dimensional representation

isometric perspective

02

daylightingand photo insert03

RUA

VIT

ÓRI

O Z

AN

ETTI

RUA 3

TYPOLOGY 1 TYPOLOGY 2

PROJECTIVE GUIDELINES BASED ON THE FOLLOWING STANDARDS:1) SLAB GARDEN 2) SMALL PARKING 3) CONNECTED BUILDINGS 4) HOME YARDS FULL OF LIFE 5) HIERARCHY OF OPEN SPACES

ESPAÇOS ABERTOSVOLUME CONSTRUÍDO PÁTIO INTERNO ÁREAS DE TRANSIÇÃO ESTACIONAMENTOS

studio ISecond project01

02

03

FIRST FLOORSTREET 3

STRE

ET V

ITÓ

RIO

ZA

NET

TI

N

A A

BB

A A

N

BB

SECOND FLOOR

STREET 3

STRE

ET V

ITÓ

RIO

ZA

NET

TI

N

TOP VIEWSTREET 3

STRE

ET V

ITÓ

RIO

ZA

NET

TI

A A

N

BB

THIRD FLOORSTREET 3

STRE

ET V

ITÓ

RIO

ZA

NET

TI

03

SECTION BB

SECTION AA

04

universityextension

Introduction:This project aims the direct contact with the community in which experiences can be exchanged and new learning situations could be allowed. Through building material stores, the project acquire a demand of people / customers practitioners of self-construction, and from that began the service to users. The principal action is to return the service provided based on the User discussion and opinion, never a solution imposed. In addition, the solutions are designed according to the client’s �nancial conditions, what will be constructed, or with the priorities of the moment.

Objective:Develop mechanisms to a direct care through community service prioritizing doubts about the production of space in some building material stores of Ouro Preto.

Methodology:attendance at �xed times in some building material stores in the city of Ouro Preto; provision of ballot boxes in the stores for users to leave their ques-tions in times that students of architecture are not present; study of doubts left on the ballot boxes that will be classi�ed into two categories: frequent questions and speci�c questions. For frequent questions will be developed educational �yers. For speci�c questions will be conducted visits to the site and development of participatory design. Elaboration of projects through participatory method; elaboration of narratives (subjective) that aims to tell the ways of living of the people attended.

01

ms. santinha

ms. gracinha and mr. gentilexamplesof costumers02

universityresearch

Stochastic Simulation of People Moving in Con�ned Spaces

The subject of our work is to study the behavior of people trying to leave a con�ned space using limited exits. In situations where panic takes place, it is common to observe how this dynamic becomes extremely disorganized. Although such phenomena have many causes based on human nature. There are many other factors that are feasible to study by the use of physical methods, including computer simulations. Many people who are moving and interacting with each other is an example of a highly complex system, and, this, can not be modeled as a sum of independent movements of a single person. The interaction among particles (in this case people) is the main cause of the emergence of patterns that we are interested in. We use the Brazilian norm of emergency exits in buildings (NBR 9077/2001) as a baseline for the focus of the study, in order to raise some questions about how the exits must be designed in many di�erent types of buildings such as residential, commercial, educational, etc. Finally, the simulations are done using the concept of Cellular Automata. This technique is widely used in modeling the behavior of many parti-cles. Basically we model people as particles trapped in a container (a room as example) under the in�uence of a “�eld” created due behave under the presence of physical obstacles that block the way (like chairs, walls, etc) or impair the vision (like smoke). We take then many conclusions regarding how this obstacles a�ects the time needed to completely clear the room.

Model: In order to simulate such a problem we divided the room up in cells and used cellular automata in order to establish the dynamic. We modeled people as particles trapped in a discretized room and the rules of movement were considered under the in�uence of a “�oor �eld“, created due the position of the exits and the walls, and the orientation rate.

Floor �eld (F): The �eld F is generated by assigning an initial value of Fi,j = 1 for the exits and Fi, j = −1 for the walls and obstacles. Then matrix F was covered, identifying the cells neighboring the exits, and these sites were given the value of 2. The process was repeated, with the neighboring sites receiving the value of (n + 1), until all cells were evacuated.

Plan A Plan B Plan C Plan D Plan E Plan F Plan G Plan H Plan I

Figure 1.: Gray scale map of �oor �eld generated for a square room with di�erent numbers and locations of exits. The gray scale is related with the distance to the exit. Darker regions are closer to the exit and lighter regions are more distant.

01

Orientation rate (To):

The orientation rate (to) is a number between 0 and 1 and measures how people are guided by the �oor �eld. For example, when to = 1 each person always decides to move to the closest exit, that is, decreasing the �oor �eld. In the case to = 0, the �oor �eld is totally ignored and each person moves according to a 2-D random walk. And in the equation 0 <to<1 a mixture of the two movements occurs.

Results:

0 100 200 300 4000

20

40

60

80

100

Num

ber o

f peo

ple w

ho re

main

in th

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m

time

Plan A Plan B Plan C Plan D Plan E Plan F Plan G Plan H Plan I

0 100 200 3000

10

20

30

Collis

ion

time

Plan A Plan B Plan C Plan D Plan E Plan F Plan G Plan H Plan I

0 100 200 300 4000.0

0.5

1.0

1.5

Exit flo

w

time

Plan A Plan B Plan C Plan D Plan E Plan F Plan G Plan H Plan I

A B C

Figure 2 - Plots of (A) Number of people who remain in the room against time (B) Collision against time and (C) Exit �ow against time for square room (30x30), with 300 persons initials placed randomly for di�erent numbers and locations of exits (see in �gure 1).

0 100 200 300 400 500 6000.0

0.4

0.8

1.2

1.6 to = 0.0 to = 0.6 to = 0.1 to = 0.7 to = 0.2 to = 0.8 to = 0.3 to = 0.9 to = 0.4 to = 1.0 to = 0.5

Exit flo

w

time0 100 200 300 400 500 600 700

0

50

100

150

200

250

300

350

400 to = 0.00 to = 0.50 to = 0.10 to = 0.60 to = 0.20 to = 0.70 to = 0.30 to = 0.80 to = 0.40 to = 0.90

to = 1.00

Num

ber o

f peo

ple w

ho re

main

in th

e roo

m

time

A0 100 200 300 400

0

30

60

90

120

150

180 to = 0.0 to = 0.6 to = 0.1 to = 0.7 to = 0.2 to = 0.8 to = 0.3 to = 0.9 to = 0.4 to = 1.0 to = 0.5

Collis

ion

time

B C

Figure 3 - Plots of (A) Number of people who reamin in the room against time (B) Collision agaist time and (C) Exit �ow against time for square room (30x30), with 2 exits on opposite sides (Plan D), with 300 persons initials placed randomly for di�erent values of to.

02