PORTFOLIO 1/1 PISKOREC

1

How can digital tools, as well as new (but only in architecture) meth-ods of fabrication stir the development of not only building technol-ogy, but the architecture itself? If architects control the entire process from the design to the actual fabrication, are the fears of architects of the control-loss turning into the fear of total control, which inevitably brings total responsibility? Perhaps the architects of the future are going to be closer to medieval master-masons then they are now. And closer to thinking of Borromini then of Hadid. Temptation of infinite freedoms that the world of bits offers bears with itself the responsibility to develop quantitative and qualitative criteria for the evaluation of designs created in it. And then there is the profes-sional responsibility to translate the findings from the world of bits into the world of bricks.

PORTFOLIO 1/1 PISKOREC

2

3

4

6

8

10

12

14

16

18

CV

PROGRAMMED COLUMN

PROCEDURAL WALL

INFRAMENT

HETEROGENEITY GENERATOR

PARAMETRIC MASDAR

KNOWLEDGE MESH

DISTRIBUTORIUM

SERENDIPITOUS

INFO

MATERIAL

ARCHITECTURE

URBAN

RESEARCH

CONTENTS

3

PERSONAL INFORMATION

SURNAMEFIRSTNAME

ADDRESS

MOB.E-MAIL

DATE OF BIRTHPLACE OF BIRTH

NATIONALITY

D-ARCH, MASTER STUDIES, ETH ZÜRICH, SWITZERLANDMASTER DEGREE IN 2011

S3 – MODELLING TENSEGRITY STRUCTURES, WORKSHOP LEADER, VIŠNJAN, CROATIASCAFFOLDING TO STRUCTURE, CONSTRUCTION WORKSHOP, CAMBRIDGE, ENGLAND

TWO SCREEN BERLIN, FILM WORKSHOP, BERLIN, GERMANYMOTOVUN SUMMER SCHOOL OF ARCHITECTURE, ISTRIA, CROATIA

SURVEY OF MOŠĆENICE, ISTRIA, CROATIA

FACULTY OF ARCHITECTURE, UNIVERSITY OF ZAGREB, CROATIASTATE SCHOLARSHIP FOR EXCELLENT STUDENTS, BACHELOR DEGREE IN 2008

GYMNASIUM BJELOVAR (MATHEMATICS AND SCIENCES), CROATIA

FIRST ELEMENTARY SCHOOL, BJELOVAR, CROATIA

INTERNSHIP AT WEPFER ARCHITEKTEN (6 MONTHS), ARBON, SWITZERLANDINTERNSHIP AT 3LHD STUDIO (6 MONTHS), ZAGREB, CROATIA

COLLABORATION WITH THE UPI-2M ARCHITECTURAL OFFICE, ZAGREB, CROATIA

PHOTOSHOP, ILLUSTRATOR, INDESIGNPREMIERE, FINALCUT

AUTOCAD, ARCHICAD, SKETCHUP, RHINOCEROSARTLANTIS STUDIO, V-RAY

LOGO, BASIC, PASCAL, PYTHON, PROCESSING, MATLAB, PHPCITYENGINE, GRASSHOPPER, ECOTECH

CROATIAN (MOTHER TOUNGE)ENGLISH (FLUENT)GERMAN (FLUENT)

PISKORECLUKA

STETTBACHSTRASSE 498600 DÜBENDORF, SWITZERLAND

0041 79 362 [email protected]

27.08.1986.

BJELOVAR, CROATIA

CROATIAN

FORMAL EDUCATION

2009 - 2011

20112010201020082007

2005 - 2008

2001 - 2005

1993 - 2001

WORK EXPERIENCE

20092008, 20102007

SKILLS

GRAPHIC

CAAD

PROGRAMMING

LANGUAGES

CV

4

PROGRAMMED COLUMNZÜRICH, SWITZERLAND / ARCHITECTURE AND DIGITAL FABRICATION, PROF. GRAMAZIO, PROF. KOHLER

Additive processes, the ones where we don’t throw any or little ma-terial away, become one of our most powerful tools in an attempt to transform our building processes from waste-creating to waste-using. Brick, as one of the most ancient building materials, as well as one that can be recycled, became our material of choice to investigate the potential of building in height with robotic resources. The aim here was not automation, but quite the contrary, potential for mass customization. Precision, not speed, could enable us to translate our designs into the physical world that were before impossible, or in the best case, that required artisans rather then construction work-ers. Starting from a simple shape transformation rules on a circle based on an iterative algorithm, building layer by layer, we were able to achieve a variety of spatial effects with just three parameters. Tests with physical models as well as computer simulations enabled us to narrow our design space and to pick the production piece.

—Architektur und Digitale Fabrikation, ETH Zürich

Wahlfacharbeit Die programmierte Säule

Schichtenlogik



—Architektur und Digitale Fabrikation, ETHZ Zürich

Wahlfach: Die Programmierte Säule HS09/ Luka Piskorec/ / Varianten

—Architektur und Digitale Fabrikation, ETHZ Zürich

Wahlfach: Die Programmierte Säule HS09/ Luka Piskorec/ / Varianten



Zylinder Dreiteilung

Rotation Wellung

Bauchung Rotation der Steine

5





konkave/konvexe Flächen



Drehung Gesamtsystem

6

PROCEDURAL WALL

Using a simple sand additive process on a straight, parallel paths, with a fixed pouring height and varying speeds, we were able to achieve a whole spectrum of spatial inter-relationships on the sur-face of the sand. These were sprayed with latex to achieve surface rigidity and then used as a mold for concrete. Hills and valleys now become ribs whose exact dimensions and spatial placement is gov-erned by strict structural and functional requirements for a retaining wall, conceptually a part of public Rhine promenade in Basel. Chang-ing soil configuration, ground water level as well as varying tieback height produces different material placement in the wall and there-fore different structural reading. The wall becomes a window to the landscape behind.

—Gramazio & Kohler, Architecture and Digital Fabrication, ETH Zurich

Wahlfach - Procedural Landscapes/Group 02/Hernan_Garcia / Luka_Piskorec

Sand Deposition | Constraints

Variables |

Height Speed Path

Path | PointSpeed | 0

Path | LineSpeed | Variable



Sand Deposition | Constraints

Variables |

Height Speed Path

Path | PointSpeed | 0

Path | LineSpeed | Variable



Sand Deposition | Creation of Aperture

Robot Speed/Path Diagram

Sand Negative Concrete Positive


Wahlfach - Procedural Landscapes/Group 02/Hernan_Garcia / Luka_Piskorec/Group 02/Hernan_Garcia / Luka_Piskorec

Structural Concept

Butressed Retaining Wall

Force Diagram of Butressed Retaining Wall

Horizontal Section

Vertical Section | Bending Moment Diagram


Wahlfach - Procedural Landscapes/Group 02/Hernan_Garcia / Luka_Piskorec/Group 02/Hernan_Garcia / Luka_Piskorec

Structural Concept

Butressed Retaining Wall

Force Diagram of Butressed Retaining Wall

Horizontal Section

Vertical Section | Bending Moment Diagram



x

x/3

Standard Placement of Anchor Points Introduction of Anchor Point Modulation Line Reversal of Peaks and Valleys to Achieve Interlock Adjustment of Speed Paths to Achieve ApertureFinal Panel | Development of Final Design

Standard Placement of Anchor Points Introduction of Anchor Point Modulation Reversal of Peaks and Valleys to Achieve Interlock Adjustment of Speed Paths to Achieve Aperture

Robot Speed / Path Diagram

Sand Negative

Concrete Positive



Final Panel | Process Images | Pouring of Sand Negative



Final Panel | Process Images | Application of Latex Coat



Sand Negative Latex Application Detail

Remaining Sand After Latex Concrete Removal Concrete Panel Plan View

Speed / Path Diagram

Prototype 01 | Interlock Valley + Ridge

Latex Skin




Plan View

Perspective View

Plan View

Perspective View

Plan View

Perspective View

Experiment 07 | Variable Speed + Diagonal Experiment 08 | Variable Speed + Diagonal Experiment 10 | Straight Ridge + Diagonal Valley

Speed / Path Diagram Speed / Path Diagram



Perspective View

Plan View


Experiment 19 | Varibale Speed Scaling of Path to Achieve Interlock



Experiment 01 | Variable Speed

Speed Path / Diagram

Plan View

Perspective View

Plan View

Perspective View

Plan View

Perspective View

Experiment 02 | Variable Speed Interlock Experiment 06 | Variable Speed Valley Ridge Interlock

Speed Path / Diagram Speed Path / Diagram

ZÜRICH, SWITZERLAND / ARCHITECTURE AND DIGITAL FABRICATION, PROF. GRAMAZIO, PROF. KOHLER

7



Final Panel | Process Images | Decasting of Concrete Positive



Final Panel | Process Images | Pouring of Sand Negative



Final Panel | Process Images | Application of Latex Coat



Final Panel | Process Images | Decasting of Concrete Positive

8

INFRAMENT ZÜRICH, SWITZERLAND / DESIGN STUDIO, PROF. MÜLLER, PROF. NIGGLI

By tackling the shortage of space in cities we introduce new urban typologies that through densification and diversification try to inten-sify local urban conditions. On periphery, new centralities are created, and thus large warehouses, industry and logistic spaces became the seeding points for new urban monuments, simultaneously keeping their old infrastructural function. They become spaces where ev-erything can happen, stages where the choice doesn’t have to be made, where all check-boxes are checked, a true both and condition. Custom parametric tool was used to determine the optimal arragement of various programs, both spatial as well as tem-poral. Different programs were mapped onto a table and their inter-dependency quantified. Then, the simple cellular automata mecha-nism with evolutionary algorithms optimization was applied to iterate the possible solutions, of which one was in the end selected.

AA

12.80 M

2

1

12.80 M

AA

12.80 M

12.80 M

2

1

AA

12.80 M

12.80 M

22

11

AA

12.80 M

12.80 M

22

11

A

22

11

1. FLOOR FLOOR B FLOOR C FLOOR D FLOOR EA

A

12.80 M

2

1

12.80 M

AA

12.80 M

12.80 M

2

1

AA

12.80 M

12.80 M

22

11

AA

12.80 M

12.80 M

22

11

A

22

11

1. FLOOR FLOOR B FLOOR C FLOOR D FLOOR E

22

GU

IDE R

AIL FOR

CR

ANE

MA

IN EN

TRA

NC

E

11

12.80 M

GU

IDE R

AIL FOR

CR

AN

E

FLOO

R A

PRO

DU

CTIO

N | LA

GE

R | TE

CH

NIC

AC

CES

SM

AC

HIN

E SHO

P/ ATELIE

RG

AS

TRO

NO

MY

| BA

RO

FFICE

PARK

ING

ENTE

RTA

INM

EN

T | SPO

RTAC

TIVITIE

S, C

LUB

, GA

STR

ON

OM

Y

22

GUIDE RAIL FOR CRANE

MAIN ENTRANCE

11

12.80 M


FLOOR A

PRODUCTION | LAGER | TECHNIC ACCESS MACHINE SHOP/ ATELIER GASTRONOMY| BAR OFFICE PARKING ENTERTAINMENT | SPORTACTIVITIES, CLUB, GASTRONOMY

22

GU

IDE R

AIL FOR

CR

ANE

MA

IN EN

TRA

NC

E

11

12.80 M

GU

IDE R

AIL FOR

CR

AN

E

FLOO

R A

PRO

DU

CTIO

N | LA

GE

R | TE

CH

NIC

AC

CES

SM

AC

HIN

E SHO

P/ ATELIE

RG

AS

TRO

NO

MY

| BA

RO

FFICE

PARK

ING

ENTE

RTA

INM

EN

T | SPOR

TACTIV

ITIES

, CLU

B, G

ASTR

ON

OM

Y

2 2

GU

IDE

RAI

L FO

R C

RAN

E

MA

IN E

NTR

AN

CE

1 1

12.8

0 M

GU

IDE

RAI

L FO

R C

RA

NE

FLO

OR

A

PRO

DU

CTI

ON

| LA

GE

R |

TEC

HN

ICA

CC

ESS

MA

CH

INE

SHO

P/ A

TELI

ER

GA

STR

ON

OM

Y| B

AR

OFF

ICE

PAR

KIN

GEN

TER

TAIN

ME

NT

| SPO

RTA

CTI

VIT

IES

, CLU

B, G

ASTR

ON

OM

Y

22


MAIN ENTRANCE

11

12.80 M


FLOOR A


22


MAIN ENTRANCE

11

12.80 M


FLOOR A


i n f r a | s t r u c t u r e m o n u | m e n tGastdozenturETH ZÜRICH | DANIEL NIGGLI & MATHIAS MÜLLER | DepartementARCHITEKTUR | Assistierende: StefanBERNOULLI , GabiKÄGI , GuillaumeHENRY | FS 2010 | Studenten: LukaPISKOREC , ManuelaSEDLAR |

SITUATION 1/1000

9

TIME | 06.00 - 07.00 - 08.00 - 09.00 - 10.00 - 11.00 - 12.00 - 13.00 - 14.00 - 15.00 - 16.00 - 17.00 - 18.00 - 19.00 - 20.00 - 21.00 - 22.00 - 23.00 - 24.00 - 01.00 - 02.00 - 03.00 - 04.00 - 05.00

A C

T I

V E

A

R E

A

100

%

...

..

. 10%

MO | TUE | WEN | THU | FRI | SAT | SUN | SAT | SUN | SAT | SUN

AA

12.80 M

2

1

12.80 M

AA

12.80 M

12.80 M

2

1

AA

12.80 M

12.80 M

22

11

AA

12.80 M

12.80 M

22

11

A

22

11

1. FLOOR FLOOR B FLOOR C FLOOR D FLOOR E

10

HETEROGENEITY GENERATORZÜRICH, SWITZERLAND / MASTER THESIS, PROF. CHRISTIAANSE

Multiplicity of situations on the site leads to the conclusion, that the optimal spatial development needs to incorporate just as complex rules. Heterogeneity of the initial parameters thus leads to the het-erogeneous qualities of the future Life Sciences Quarter. Rather then to resort to simplification and reduction, we used parametric urban modeling tool to embed complex situations into the cohesive and functional whole, in the same time developing strategies and busi-ness models that would help us realize our initial goals and visions. In this way we were also able to achieve certain future plasticity, which means that the integrity of individual parts in not compromised by eventual changes in the neighboring ones. The Masterplan is not only conscious of unforeseen future interventions, but is ac-tively working with them.

RÄUMLICHE ORGANISATION

PROGRAM TYPOLOGIEN

GESAMT PROGRAMVOLUMEN

EGZISTIERENDE STRASSEN UND BLOCKADEN

PROGRAM VERGLEICH

POZITION DES BASELS AM RHEIN

UMZÜGE ZWISCHEN BASEL QUARTIEREN QUARTIERE MIT GROSSTE UMZUGSDYNAMIK

MORPHOLOGISCHE UNTERSUCHUNG DES QUARTIERS IN BASELGESCHLOSSENE BLÖCKE

MASSTABKEIT UNTERSUCHUNGEN DES CAMPUSES

MASSTABKEIT UNTERSUCHUNGEN DES VERSCHIEDENEN TYPOLOGIEN

BASEL UND RUHRGEBIET DREI METRORÄUMEQUELLE: STUDIO BASEL

BESITZER STRUKTUR

STABILUNSTABIL

EGZISTIERENDE BEPFLANZUNG UND PARKPLATZE

STRUKTURELE SCHWÄCHENICHT GEBRAUCHT

MANGEL AM DICHTE

NUTZUNGSMIXMONOFUNKTIONALMULTIFUNKTIONAL

GEBAUTE STRUKTURGEBÄUDE

IDENTITÄTSFRAGMENTE

STRU

KTUR

ALE SZ

ENARIOS

FUNKTIONALE VISION

AKTÖRE

KON

SOLID

IERUN

G D

ER

IND

USTRIE

(Integration der Produktion)

ALLMÄHLICHE

TRANSFORMATION

(Industrie verschwindet)IDEALE STADT

CAMPUS

STAD

T BA

SEL

COMM

UNE HUNIN

GUE

SCHWEIZ / FRANKREICH

AUSBILDUNG/KULTURAL

METROREGION BASEL

NOVARTISPHARMA UNTERNEHMEN

VERSCHIEDENE INVESTOREN

SBB / DB / SN

CF / BVB

BEWO

HN

ER

NACH

BARN

ERGÄNZUNG

DIFFERENZ

EINZIGARTIGE STRUKTURE

CLUST

ERN

MANHATTAN

Einwohnerdichte:26,000 /km2

Vertikale Gliederung des Funktionen innerhalb festes Grid. Volumen bilden dichte und enge Zwichenräume. Ö�entlich zugänglicher Raum ist bescheiden, o�ene Plazas sind eigentlich in privaten Besitz. Eignet sich für Gewerbe- und Büroräumen.

BRASILIA

Einwohnerdichte:435 /km2

Funktionen nach einzelnen Quartieren gegliedert. Gebäuden als freie Volem in grün gestellt. Grosszügiger begrünter Zwischenraum. Grundgeschoss o�en und permeabel. Eignet sich für Wohn- und Arbeitsräume.

BARCELONA


Funktionen gemischt, mit ö�entlichen meistens in Grundgeschoss. Gebäuden bilden Blöcke mit Innenhö�en die meist privat sind. Klare Trennung zwischen o�entlichen und kontrolierten Raum. Eignet sich für Gewerbe-, Büro-, Wohn- und Arbeitsräume.

MEXICO CITY


Funktionen nach Quartieren oder Strassen gegliedert. Gebäude bilden eine dichte, niedriggebaute Struktur die in Rahmen einen festen Netztes liegt. Strasse ist die Zentralaxse des ö�entli-chen Lebens. Eignet sich für Wohnen.

BOEING EVERETT FACTORY

Einwohnerdichte:- /km2

Monofunktional, Arbeit ist nach “Sekto-ren” gegliedert. Gebäude bilden grosse Volumen, den Zwischenraum funktioni-ert eher als Logistikraum. Kein o�entli-ches Leben, nach Arbeitszeiten der Raum wird Leer. Eignet sich für Industrie und Gewerbe.

SCHWEIZ


Funktionen durch einen ausgebreiteten Netz verstreut. Gebaute Volumen organisieren sich um Infrastrukturkno-ten und bilden Cluster. Sehr niedrige Besiedlungsdichte. Naturliche Zwisch-enräume sind das wesentlichste Raumi-dentitätträger. Eignet sich für Wohnen, Landwirtschaft und Erholungsräume.

ARBEITER _ S/A

STUD

ENTEN

CAM

PUS FLÄCH

EG

ESCHO

SS FLÄCHE

UN

IVERSITÄT KARLSRU

HE (TH

CAM

PUS)

4,00018,200670,000 sqm416,000 sqm

1 : 4.55

1 : 2.07

1 : 1.35

1 : 1.51

1 : 0.96

UN

IVERSITY OF CA

MBRID

GE

8,60017,800- - H

ARVA

RD U

NIVERSITY

14,80020,000910,000 sqm1,245,000 sqm

NO

VARTIS CA

MPU

S

15,000/207,000 sqm350,000 sqm

ETH H

ÖN

GG

ERBERG

3,5005,300320,000 sqm200,000 sqm

MA

SSACHU

SETTS INSTITU

TE OF TECH

NO

LOG

Y

10,70010,300680,000 sqm1,013,000 sqm

BASEL

MULHOUSE

FREIBURG

MULTIFUNTIONSGEBÄUDE

FORSCH

UN

GSIN

STITURE D

ER LIFE SCIEN

CES

3 500 STELLPLÄTZE

OPERATIVE G

ESELLSCHA

FTEN

SCHU

LUN

GSG

EBÄUD

E

2 000 STELLPLÄTZE

STUD

ENTEN

WO

HN

HEIM

KIND

ERGA

RTEN

WO

HN

EN

BIBLIOTHEK

HOTEL

SPORT / FREIZEIT

5 000 STELLPLÄTZE NOVARTIS INTERN

GASTRONOMIE

LÄDEN

LEICHT VO

N Ö

FFENTLICH

KEIT ZU

GÄ

NG

LICH

ZERSTREUT

KERNN

UTZU

NG

KOM

PLEMEN

TÄTNU

TZUN

G

LABO

RE+ Ö

FFENTLICH

LABO

RE

AUSBILD

UN

G

AD

MIN

ISTRATION

WO

HN

ENSO

ZIAL / M

ITTEL

WO

HN

ENH

IGH

-END

STUD

ENTEN

HEIM

HO

TEL

SPORTH

ALLE

MU

LTIFUN

KTION

SGEBÄU

DE

BIBLIOTH

EK

GA

RAGE

DUISBURG

UTRECHT

ARNHEMROTTERDAM

KÖLN

BONN

KOBLENZWIESBADEN

MANNHEIM

KARLSRUHE

STRASBOURG

BASEL

DÜSSELDORF

COLMAR

FREIBURG

MULHOUSE

BASEL

OFFENBURG

STRASBOURG

KARLSRUHE

der R

hein

VERKEHRKONZEPT ÖFFENTLICHENRAUM KONZEPT

BAULINIEN

PARZELATION

GRAD VON ÖFFENTLICHKEITPRIVAT

SEMI-PRIVATSEMI-ÖFFENTLICH

ÖFFENTLICH

GEBAUTE STRUKTURNEU

BESTEHENDUNTER DENKMALPFLEGE


PROGRAM TYPOLOGIEN



PROGRAM VERGLEICH







BESITZER STRUKTUR

STABILUNSTABIL



MANGEL AM DICHTE




STRU

KTUR

ALE SZ

ENARIOS

FUNKTIONALE VISION

AKTÖRE

KON

SOLID

IERUN

G D

ER

IND

USTRIE


ALLMÄHLICHE

TRANSFORMATION


CAMPUS

STAD

T BA

SEL

COMM

UNE HUNIN

GUE


AUSBILDUNG/KULTURAL

METROREGION BASEL



SBB / DB / SN

CF / BVB

BEWO

HN

ER

NACH

BARN

ERGÄNZUNG

DIFFERENZ


CLUST

ERN

MANHATTAN



BRASILIA



BARCELONA



MEXICO CITY






SCHWEIZ



ARBEITER _ S/A

STUD

ENTEN

CAM

PUS FLÄCH

EG

ESCHO

SS FLÄCHE

UN

IVERSITÄT KARLSRU

HE (TH

CAM

PUS)

4,00018,200670,000 sqm416,000 sqm

1 : 4.55

1 : 2.07

1 : 1.35

1 : 1.51

1 : 0.96

UN

IVERSITY OF CA

MBRID

GE

8,60017,800- - H

ARVA

RD U

NIVERSITY

14,80020,000910,000 sqm1,245,000 sqm

NO

VARTIS CA

MPU

S

15,000/207,000 sqm350,000 sqm

ETH H

ÖN

GG

ERBERG

3,5005,300320,000 sqm200,000 sqm

MA

SSACHU

SETTS INSTITU

TE OF TECH

NO

LOG

Y

10,70010,300680,000 sqm1,013,000 sqm

BASEL

MULHOUSE

FREIBURG


FORSCH

UN

GSIN

STITURE D

ER LIFE SCIEN

CES

3 500 STELLPLÄTZE

OPERATIVE G

ESELLSCHA

FTEN

SCHU

LUN

GSG

EBÄUD

E

2 000 STELLPLÄTZE

STUD

ENTEN

WO

HN

HEIM

KIND

ERGA

RTEN

WO

HN

EN

BIBLIOTHEK

HOTEL

SPORT / FREIZEIT


GASTRONOMIE

LÄDEN

LEICHT VO

N Ö

FFENTLICH

KEIT ZU

GÄ

NG

LICH

ZERSTREUT

KERNN

UTZU

NG

KOM

PLEMEN

TÄTNU

TZUN

G

LABO

RE+ Ö

FFENTLICH

LABO

RE

AUSBILD

UN

G

AD

MIN

ISTRATION

WO

HN

ENSO

ZIAL / M

ITTEL

WO

HN

ENH

IGH

-END

STUD

ENTEN

HEIM

HO

TEL

SPORTH

ALLE

MU

LTIFUN

KTION

SGEBÄU

DE

BIBLIOTH

EK

GA

RAGE

DUISBURG

UTRECHT

ARNHEMROTTERDAM

KÖLN

BONN

KOBLENZWIESBADEN

MANNHEIM

KARLSRUHE

STRASBOURG

BASEL

DÜSSELDORF

COLMAR

FREIBURG

MULHOUSE

BASEL

OFFENBURG

STRASBOURG

KARLSRUHE

der R

hein


BAULINIEN

PARZELATION



ÖFFENTLICH

GEBAUTE STRUKTURNEU



PROGRAM TYPOLOGIEN



PROGRAM VERGLEICH







BESITZER STRUKTUR

STABILUNSTABIL



MANGEL AM DICHTE




STRU

KTUR

ALE SZ

ENARIOS

FUNKTIONALE VISION

AKTÖRE

KON

SOLID

IERUN

G D

ER

IND

USTRIE


ALLMÄHLICHE

TRANSFORMATION


CAMPUS

STAD

T BA

SEL

COMM

UNE HUNIN

GUE


AUSBILDUNG/KULTURAL

METROREGION BASEL



SBB / DB / SN

CF / BVB

BEWO

HN

ER

NACH

BARN

ERGÄNZUNG

DIFFERENZ


CLUST

ERN

MANHATTAN



BRASILIA



BARCELONA



MEXICO CITY






SCHWEIZ



ARBEITER _ S/A

STUD

ENTEN

CAM

PUS FLÄCH

EG

ESCHO

SS FLÄCHE

UN

IVERSITÄT KARLSRU

HE (TH

CAM

PUS)

4,00018,200670,000 sqm416,000 sqm

1 : 4.55

1 : 2.07

1 : 1.35

1 : 1.51

1 : 0.96

UN

IVERSITY OF CA

MBRID

GE

8,60017,800- - H

ARVA

RD U

NIVERSITY

14,80020,000910,000 sqm1,245,000 sqm

NO

VARTIS CA

MPU

S

15,000/207,000 sqm350,000 sqm

ETH H

ÖN

GG

ERBERG

3,5005,300320,000 sqm200,000 sqm

MA

SSACHU

SETTS INSTITU

TE OF TECH

NO

LOG

Y

10,70010,300680,000 sqm1,013,000 sqm

BASEL

MULHOUSE

FREIBURG


FORSCH

UN

GSIN

STITURE D

ER LIFE SCIEN

CES

3 500 STELLPLÄTZE

OPERATIVE G

ESELLSCHA

FTEN

SCHU

LUN

GSG

EBÄUD

E

2 000 STELLPLÄTZE

STUD

ENTEN

WO

HN

HEIM

KIND

ERGA

RTEN

WO

HN

EN

BIBLIOTHEK

HOTEL

SPORT / FREIZEIT


GASTRONOMIE

LÄDEN

LEICHT VO

N Ö

FFENTLICH

KEIT ZU

GÄ

NG

LICH

ZERSTREUT

KERNN

UTZU

NG

KOM

PLEMEN

TÄTNU

TZUN

G

LABO

RE+ Ö

FFENTLICH

LABO

RE

AUSBILD

UN

G

AD

MIN

ISTRATION

WO

HN

ENSO

ZIAL / M

ITTEL

WO

HN

ENH

IGH

-END

STUD

ENTEN

HEIM

HO

TEL

SPORTH

ALLE

MU

LTIFUN

KTION

SGEBÄU

DE

BIBLIOTH

EK

GA

RAGE

DUISBURG

UTRECHT

ARNHEMROTTERDAM

KÖLN

BONN

KOBLENZWIESBADEN

MANNHEIM

KARLSRUHE

STRASBOURG

BASEL

DÜSSELDORF

COLMAR

FREIBURG

MULHOUSE

BASEL

OFFENBURG

STRASBOURG

KARLSRUHE

der R

hein


BAULINIEN

PARZELATION



ÖFFENTLICH

GEBAUTE STRUKTURNEU



PROGRAM TYPOLOGIEN



PROGRAM VERGLEICH







BESITZER STRUKTUR

STABILUNSTABIL



MANGEL AM DICHTE




STRU

KTUR

ALE SZ

ENARIOS

FUNKTIONALE VISION

AKTÖRE

KON

SOLID

IERUN

G D

ER

IND

USTRIE


ALLMÄHLICHE

TRANSFORMATION


CAMPUS

STAD

T BA

SEL

COMM

UNE HUNIN

GUE


AUSBILDUNG/KULTURAL

METROREGION BASEL



SBB / DB / SN

CF / BVB

BEWO

HN

ER

NACH

BARN

ERGÄNZUNG

DIFFERENZ


CLUST

ERN

MANHATTAN



BRASILIA



BARCELONA



MEXICO CITY






SCHWEIZ



ARBEITER _ S/A

STUD

ENTEN

CAM

PUS FLÄCH

EG

ESCHO

SS FLÄCHE

UN

IVERSITÄT KARLSRU

HE (TH

CAM

PUS)

4,00018,200670,000 sqm416,000 sqm

1 : 4.55

1 : 2.07

1 : 1.35

1 : 1.51

1 : 0.96

UN

IVERSITY OF CA

MBRID

GE

8,60017,800- - H

ARVA

RD U

NIVERSITY

14,80020,000910,000 sqm1,245,000 sqm

NO

VARTIS CA

MPU

S

15,000/207,000 sqm350,000 sqm

ETH H

ÖN

GG

ERBERG

3,5005,300320,000 sqm200,000 sqm

MA

SSACHU

SETTS INSTITU

TE OF TECH

NO

LOG

Y

10,70010,300680,000 sqm1,013,000 sqm

BASEL

MULHOUSE

FREIBURG


FORSCH

UN

GSIN

STITURE D

ER LIFE SCIEN

CES

3 500 STELLPLÄTZE

OPERATIVE G

ESELLSCHA

FTEN

SCHU

LUN

GSG

EBÄUD

E

2 000 STELLPLÄTZE

STUD

ENTEN

WO

HN

HEIM

KIND

ERGA

RTEN

WO

HN

EN

BIBLIOTHEK

HOTEL

SPORT / FREIZEIT


GASTRONOMIE

LÄDEN

LEICHT VO

N Ö

FFENTLICH

KEIT ZU

GÄ

NG

LICH

ZERSTREUT

KERNN

UTZU

NG

KOM

PLEMEN

TÄTNU

TZUN

G

LABO

RE+ Ö

FFENTLICH

LABO

RE

AUSBILD

UN

G

AD

MIN

ISTRATION

WO

HN

ENSO

ZIAL / M

ITTEL

WO

HN

ENH

IGH

-END

STUD

ENTEN

HEIM

HO

TEL

SPORTH

ALLE

MU

LTIFUN

KTION

SGEBÄU

DE

BIBLIOTH

EK

GA

RAGE

DUISBURG

UTRECHT

ARNHEMROTTERDAM

KÖLN

BONN

KOBLENZWIESBADEN

MANNHEIM

KARLSRUHE

STRASBOURG

BASEL

DÜSSELDORF

COLMAR

FREIBURG

MULHOUSE

BASEL

OFFENBURG

STRASBOURG

KARLSRUHE

der R

hein


BAULINIEN

PARZELATION



ÖFFENTLICH

GEBAUTE STRUKTURNEU



PROGRAM TYPOLOGIEN



PROGRAM VERGLEICH







BESITZER STRUKTUR

STABILUNSTABIL



MANGEL AM DICHTE




STRU

KTUR

ALE SZ

ENARIOS

FUNKTIONALE VISION

AKTÖRE

KON

SOLID

IERUN

G D

ER

IND

USTRIE


ALLMÄHLICHE

TRANSFORMATION


CAMPUS

STAD

T BA

SEL

COMM

UNE HUNIN

GUE


AUSBILDUNG/KULTURAL

METROREGION BASEL



SBB / DB / SN

CF / BVB

BEWO

HN

ER

NACH

BARN

ERGÄNZUNG

DIFFERENZ


CLUST

ERN

MANHATTAN



BRASILIA



BARCELONA



MEXICO CITY






SCHWEIZ



ARBEITER _ S/A

STUD

ENTEN

CAM

PUS FLÄCH

EG

ESCHO

SS FLÄCHE

UN

IVERSITÄT KARLSRU

HE (TH

CAM

PUS)

4,00018,200670,000 sqm416,000 sqm

1 : 4.55

1 : 2.07

1 : 1.35

1 : 1.51

1 : 0.96

UN

IVERSITY OF CA

MBRID

GE

8,60017,800- - H

ARVA

RD U

NIVERSITY

14,80020,000910,000 sqm1,245,000 sqm

NO

VARTIS CA

MPU

S

15,000/207,000 sqm350,000 sqm

ETH H

ÖN

GG

ERBERG

3,5005,300320,000 sqm200,000 sqm

MA

SSACHU

SETTS INSTITU

TE OF TECH

NO

LOG

Y

10,70010,300680,000 sqm1,013,000 sqm

BASEL

MULHOUSE

FREIBURG


FORSCH

UN

GSIN

STITURE D

ER LIFE SCIEN

CES

3 500 STELLPLÄTZE

OPERATIVE G

ESELLSCHA

FTEN

SCHU

LUN

GSG

EBÄUD

E

2 000 STELLPLÄTZE

STUD

ENTEN

WO

HN

HEIM

KIND

ERGA

RTEN

WO

HN

EN

BIBLIOTHEK

HOTEL

SPORT / FREIZEIT


GASTRONOMIE

LÄDEN

LEICHT VO

N Ö

FFENTLICH

KEIT ZU

GÄ

NG

LICH

ZERSTREUT

KERNN

UTZU

NG

KOM

PLEMEN

TÄTNU

TZUN

G

LABO

RE+ Ö

FFENTLICH

LABO

RE

AUSBILD

UN

G

AD

MIN

ISTRATION

WO

HN

ENSO

ZIAL / M

ITTEL

WO

HN

ENH

IGH

-END

STUD

ENTEN

HEIM

HO

TEL

SPORTH

ALLE

MU

LTIFUN

KTION

SGEBÄU

DE

BIBLIOTH

EK

GA

RAGE

DUISBURG

UTRECHT

ARNHEMROTTERDAM

KÖLN

BONN

KOBLENZWIESBADEN

MANNHEIM

KARLSRUHE

STRASBOURG

BASEL

DÜSSELDORF

COLMAR

FREIBURG

MULHOUSE

BASEL

OFFENBURG

STRASBOURG

KARLSRUHE

der R

hein


BAULINIEN

PARZELATION



ÖFFENTLICH

GEBAUTE STRUKTURNEU


FLEX-GRID KONZEPT - HORIZONTALE REGELN

VON PRODUKTION ZUM KNOWLEDGE-BASED INDUSTRIE

ENTWICKLUNG VON VIER HYPOTETISCHEN BLÖCKE INNENHOFFLÄCHEKONTAKTFLÄCHE ZWISCHEN INNENHÖFFEN

SOZIALE DURCHMISCHUNG

STRASSENFASSADEFLÄCHEPARK

CAMPUS

THE STRIP UND DER STADT

WOHNBLÖCKE

PROMENADE UND BOULEVARD

LEVEL-SPLIT SICHERHEITSKONZEPT

FLEX-GRID KONZEPT - VERTIKALE REGELN + PROGRAM

FLEX-GRID KONZEPT - PARZELATION

FLEX-GRID KONZEPT - PARAMETERN DES GENERISCHEN BLOCKS






CAMPUS


WOHNBLÖCKE






11


PROGRAM TYPOLOGIEN



PROGRAM VERGLEICH







BESITZER STRUKTUR

STABILUNSTABIL



MANGEL AM DICHTE




STRU

KTUR

ALE SZ

ENARIOS

FUNKTIONALE VISION

AKTÖRE

KON

SOLID

IERUN

G D

ER

IND

USTRIE


ALLMÄHLICHE

TRANSFORMATION


CAMPUS

STAD

T BA

SEL

COMM

UNE HUNIN

GUE


AUSBILDUNG/KULTURAL

METROREGION BASEL



SBB / DB / SN

CF / BVB

BEWO

HN

ER

NACH

BARN

ERGÄNZUNG

DIFFERENZ


CLUST

ERN

MANHATTAN



BRASILIA



BARCELONA



MEXICO CITY






SCHWEIZ



ARBEITER _ S/A

STUD

ENTEN

CAM

PUS FLÄCH

EG

ESCHO

SS FLÄCHE

UN

IVERSITÄT KARLSRU

HE (TH

CAM

PUS)

4,00018,200670,000 sqm416,000 sqm

1 : 4.55

1 : 2.07

1 : 1.35

1 : 1.51

1 : 0.96

UN

IVERSITY OF CA

MBRID

GE

8,60017,800- - H

ARVA

RD U

NIVERSITY

14,80020,000910,000 sqm1,245,000 sqm

NO

VARTIS CA

MPU

S

15,000/207,000 sqm350,000 sqm

ETH H

ÖN

GG

ERBERG

3,5005,300320,000 sqm200,000 sqm

MA

SSACHU

SETTS INSTITU

TE OF TECH

NO

LOG

Y

10,70010,300680,000 sqm1,013,000 sqm

BASEL

MULHOUSE

FREIBURG


FORSCH

UN

GSIN

STITURE D

ER LIFE SCIEN

CES

3 500 STELLPLÄTZE

OPERATIVE G

ESELLSCHA

FTEN

SCHU

LUN

GSG

EBÄUD

E

2 000 STELLPLÄTZE

STUD

ENTEN

WO

HN

HEIM

KIND

ERGA

RTEN

WO

HN

EN

BIBLIOTHEK

HOTEL

SPORT / FREIZEIT


GASTRONOMIE

LÄDEN

LEICHT VO

N Ö

FFENTLICH

KEIT ZU

GÄ

NG

LICH

ZERSTREUT

KERNN

UTZU

NG

KOM

PLEMEN

TÄTNU

TZUN

G

LABO

RE+ Ö

FFENTLICH

LABO

RE

AUSBILD

UN

G

AD

MIN

ISTRATION

WO

HN

ENSO

ZIAL / M

ITTEL

WO

HN

ENH

IGH

-END

STUD

ENTEN

HEIM

HO

TEL

SPORTH

ALLE

MU

LTIFUN

KTION

SGEBÄU

DE

BIBLIOTH

EK

GA

RAGE

DUISBURG

UTRECHT

ARNHEMROTTERDAM

KÖLN

BONN

KOBLENZWIESBADEN

MANNHEIM

KARLSRUHE

STRASBOURG

BASEL

DÜSSELDORF

COLMAR

FREIBURG

MULHOUSE

BASEL

OFFENBURG

STRASBOURG

KARLSRUHE

der R

hein


BAULINIEN

PARZELATION



ÖFFENTLICH

GEBAUTE STRUKTURNEU







CAMPUS


WOHNBLÖCKE











CAMPUS


WOHNBLÖCKE











CAMPUS


WOHNBLÖCKE






12

PARAMETRIC MASDARMASDAR, UNITED ARAB EMIRATES / NEW METHODS IN URBAN SIMULATION, PROF. SCHMITT

Noam Chomsky developed the concept of generative grammar, but was unable to fully apply it on natural languages. It neverthe-less proved to be practical for expressing certain space-generating algorithms. By implementing this in a computer environment, the CityEngine was born. Generative grammar can be used to express the space-syntax of various spacial configurations and typologies on different scales - from spacial-planning and urban to architectural and product design scales. The problems are parametrized and large number of configurations are available for evaluation in a short time-span. The quantitative evaluation (the more cum-bersome) is taken over by the software, while the qualitative is left for the human evaluator to deal with.

20 % public spaces20% green spaces60% green + play

91% residential4% o�ce3% CMY-111% RFT-3

Areal area 9 408m2

65% building areaBGF 16 950m2FAR 1.8

Distances between buildings are 5x to 10x their heights di�erence

Brigde elementsBuilding o�set min 4.5mWindturbines 3m clearance distance from the roof - cca 50m

Arcade depth > 2m

Secundary street - 8.5mPrimary street - 10.5m

Energy through PV and Windturbines, clearance distance between roof and PV - 1.5m

Roof overhang max 1.5m from street axismax 5 stories above podiumless openings in upper storiesResidential <30%O�ce <40%

1.9.m primary street2.25m secundary street80% shadow areas

13

10

Final presentation – D. Meyer | L. Piskorec | M. Sedlar | F. Waldburger | H-13 | FS2010

Element: residential units

7

Final presentation – D. Meyer | L. Piskorec | M. Sedlar | F. Waldburger | H-13 | FS2010

Element: platform

X

X

X

abcabc abc abc

b

b

b

b ba

A

X

X

X

abcabc abc abc

b

b

b

b ba

A

X

X

X

abcabc abc abc

b

b

b

b ba

A

14

KNOWLEDGE MESHHYDERABAD, INDIA / ARTICULATING URBAN COMPLEXITIES, PROF. SCHMITT

The new Hyderabad Campus is going to house a wast number of sci-entific facilities with literary thousands of scientists whose fields of interests not only overlap, but form a complex collaborative network. This interdisciplinary approach is mirrored in the spatial or-ganisation of the campus, forming a “knowledge mesh”. Large number of spatial problems can be solved by changing the perspec-tive and look at the whole as an interacting dynamic system. Posi-tion of the “points of interest” can be calculated by simulating spring action that acts between the neighboring points, and the length of the each spring can be determined as a function of some information input parameter - terrain height, slope, vegetation density, soil con-stitution etc. The result is often unpredictable, thus asking for a con-stant reevaluation, simultaneously triggering a constructive iterative process. Nevertheless, this tools should not be considered as a goal in itself, but as means for getting to the desired goal that is legible for scrutiny in it’s own right.

TIFR Campus

University of Hyderabad

Alind Industries

Microsoft Development Center

Infosys Technologies Limited

Hitec City

Residential

Agriculture

Noor

Khan

Baz

ar

Loca

tion:

Old

city

Ag

e/es

tabl

ishm

ent:

192

0-30

D

evel

opm

ent,

bui

lder

: pl

anne

d by

the

City

Im

prov

emen

t Boa

rd

Char

acte

ristic

s: s

ingl

e-st

orie

d ho

uses

; co

urt y

ards

Vijay

Nag

ar C

olo

ny

Loca

tion:

wes

tern

inne

r ci

ty

Age/

esta

blis

hmen

t: 1

960

Dev

elop

men

t, b

uild

er:

plan

ned

by th

e A.

P. H

ousi

ng B

oard

Char

acte

ristic

s: d

etac

hed

hous

es;

smal

l pl

ots

Bag

hlin

gam

pal

liLo

catio

n: e

aste

rn in

ner

city

Ag

e/es

tabl

ishm

ent:

197

0-80

Dev

elop

men

t, b

uild

er:

plan

ned

by th

e A.

P. H

ousi

ng B

oard

Char

acte

ristic

s: tw

o- to

four

-sto

ried

apar

tmen

t com

plex

es;

high

den

sity

Him

ayat

nag

arLo

catio

n: c

entr

al in

ner

city

Ag

e/es

tabl

ishm

ent:

190

0D

evel

opm

ent,

bui

lder

: un

plan

ned

neig

h-bo

urho

od, “

Urba

n Vi

llage

”

Char

acte

ristic

s: m

any

build

ing

activ

ities

, ne

w a

part

men

t com

plex

es fo

r th

e up

per

clas

s; r

apid

incr

ease

of d

ensi

ty, p

artia

l cl

osed

blo

ck s

yste

m

Ras

ool Pu

ra

Loca

tion:

nor

ther

n in

ner

city

Ag

e/es

tabl

ishm

ent:

195

0-60

Dev

elop

men

t, b

uild

er:

unpl

anne

d ne

igh-

bour

hood

, Slu

m

Char

acte

ristic

s: b

ad h

ousi

ng c

ondi

tions

, la

ck o

f bas

ic in

fras

truc

ture

and

edu

catio

n

10

Fig.

5:

Loca

tion

of th

e ne

igh-

bou

rhoo

d

Fig.

6:

Neig

hbou

rhoo

d

str

uctu

re

Noor Khan Bazar Location: Old city Age/establishment: 1920-30 Development, builder: planned by the City Improvement Board

Characteristics: single-storied houses; court yards

Vijay Nagar ColonyLocation: western inner city Age/establishment: 1960 Development, builder: planned by the A.P. Housing Board

Characteristics: detached houses; small plots

BaghlingampalliLocation: eastern inner city Age/establishment: 1970-80Development, builder: planned by the A.P. Housing Board

Characteristics: two- to four-storied apartment complexes; high density

HimayatnagarLocation: central inner city Age/establishment: 1900Development, builder: unplanned neigh-bourhood, “Urban Village”

Characteristics: many building activities, new apartment complexes for the upper class; rapid increase of density, partial closed block system

Rasool Pura Location: northern inner city Age/establishment: 1950-60Development, builder: unplanned neigh-bourhood, Slum

Characteristics: bad housing conditions, lack of basic infrastructure and education

10

Fig. 5: Location of the neigh- bourhood

Fig. 6: Neighbourhood structure











10













10













10













10













10



15

16

DISTRIBUTORIUMN/A / CAAD THEORY, PROF. HOVESTADT

Christopher Alexander wrote about pattern language, which is in general a structured method of describing good design practices within a field of expertise. In his Pattern Nr. 2 he described the ba-sic rules for the distribution of towns, expressed ultimately in given distances between different categories of towns/cities. By using dy-namic methods, where each element is represented by a dynamically moving particle, each with it’s own attracting and repulsing forces, the problem becomes a standard equilibrium state system. Although approached at the beginning as a problem of spatial optimization by evolutionary algorithms, the foremost described method gave sat-isfactory results by an order of magnitudes quicker. Between the initial chaotic phase and the equilibrium state in the end, the system presented remarkable flashes of self-organizing patterns in the between-states, thus opening enough room for further investigations of such models.

17

18

SERENDIPITOUSN/A / VIRTUALITY IN ARCHITECTURE, PROF. DELIC

Research manifesto: We consider that the simple problems can be solved with generally available information and common knowledge, while the hard and difficult ones require obscure knowledge or knowledge from much wider range of fields. Therefore we present our research in series of non-linear clips rang-ing from wide range of fields: digital media, virtuality, science, tech-nology, philosophy, psychology, literature, design and architecture. Principles used: 1. use of basic methods of observation and experi-mentation, with regard to the digital age we live in 2. provocation of opinions by breaking of conventions 3. use of serendipitous approach to avoid linear research of topics - every element of the research can be the new starting point.

19

PORTFOLIO 1/1 PISKOREC

Documents