Diego Valdivia Portfolio

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PORTFOLIO DIEGO VALDIVIA


Diego Valdivia Luque

diegovaldivialuque@gmail.com / dvaldivialuque@outlook.com +44 7493217350 / +51 994605257 Flat 6 Canalside Studios 8-14 St. Pancras Way Camden London NW1 0QG

Education

Skills

Architectural Association School of Architecture M.Arch. - Distinction Emergent Technologies and Design

London, UK 2015 - 2017

Universidad Peruana de Ciencias Aplicadas B.Arch.

Lima, Peru 2007 - 2014

Languages Spanish - native English - proficient speaker Softwares Rhinoceros 3D Grasshopper

Multi-objective optimization: Octopus Network Analysis: Space Syntax Environmental Analysis: Ladybug / Honeybee Structural Analysis: Karamba Interactive Simulation: Kangaroo Physics Data-loop: Anemone

Autodesk Autocad Autodesk Revit Architecture Adobe Photoshop / Indesign / Illustrator Sketchup Vray (Sketchup, Rhino) CAESAR Lisflood Microsoft Office Work Experience

Cheng+Franco Architects Architectural design, visualization and construction drawings: Housing building; Commercial buildings; Retail stores; Office building (International Competition).

Lima, Peru 2012 - 2014

Mantto Supervision and control the execution of building works, construction drawings for a housing building.

Lima, Peru 2012

Llama Urban Design Analysis of spatial and functional features of the city for an urban regeneration project.

Lima, Peru 2011


Competitions

Individual Projects

References

Eco-Offices International Competition Concept design developed with Cheng+Franco Architects

Lima, Peru 2012

GAGA - Archtiectural Review Rural Hotel in Cusco, Peru

Lima, Peru 2013

Nursery House Client: World Vision International Design and visualization drawings of a community child-care house. Community-based workshops of ideas for public spaces and community buildings.

Lima, Peru 2014 - 2015

Rural House Client: private Design and visualization drawings of a country summer house.

Lima, Peru 2010 - 2011

Dr. Michael Weinstock RIBA, FRSA Director Research and Development Director Emergent Technologies and Design Architectural Association School of Architecture mweinstock@aaschool.ac.uk 36 Bedford Square London WC1B 3ES T +44(0) 2078874000 Jorge Cheng Lo RIBA Part III, M_Arch / CAP Founder / Lead Architect at Cheng+Franco Architects T +51(1) 446 8146 jcheng@chengfranco.com



EMERGENT TECHNOLOGIES AND DESIGN

ARCHITECTURAL ASSOCIATION


Adaptive Urban Hillscapes

M.Arch Thesis Commendation - AA EmTech

Exponential migration in Chinese cities brings spatial and ecological issues, affecting the population’s food and water supply. While Shenzhen city has been a migrant magnet over the past decades, concerns emerge regarding new sources of supply to sustain development. Considering the amount of territory that urban-sprawl has appropriated from hillside green and farming areas, city planning comes today with the challenge of regaining supply sources and balancing the ecological effects of anthropogenic alteration of hill landscape. Under this scenario, this work focuses on the relationships between subsidiary ecosystems in the hill landscape to propose an urban system that adapts to its context, prompting human activity in coexistence with natural phenomena, all the while taking advantage of ecological forces for new sources of supply.

1.


2. 1. Urban sprawl taking over green and farm lands. Shenzhen 1988-2008 2. Landslide in hillside urbanization, Hiroshima 2014


Generating Land-Use Patterns Factor maps / weightages as genes Different factor maps are considered to provide values to the cells that define the patch. The sum of the factor values will result in a total value for each cell after the weightages of these values are re-iterated in a genetic algorithm obtaining variated results. The outcome of the GA is set to satisfy fitness criteria that will support the occupation of hillside in consideration of soil erosion hazards and farmland operation. Taking the fittest results from this process, further evaluation takes place to ensure a better operation of farming practices. 1. Elevation map

weightage (0.02-4.00)

Elevation: 0 - 302 m Remapped value: 5 - 1

Genes

2. Slope angle map

Threshold angle for vegetation and crop type

Factor map weightages

weightage (0.02-4.00)

Slope angle: 0o - 46o Remapped value: 5 - 1

3. Slope aspect map

weightage (0.02-4.00)

Synthesis Landuse map

Slope aspect: N, NW/NE, W/E, SW/SE, S Remapped value: 1, 2, 3, 4, 5 RUSLE (Soil Loss) estimation

4. Land slide risk map

Fitness Criteria

GA OBJECTIVES

weightage (0.02-4.00)

loop

Landslides risk: Low, medium, high Remapped value: 5, 3, 1 5. Soil depth map

weightage (0.02-4.00)

a. Maximize Buildable cells b. Maximize average elevation of Forests c. Minimize soil loss due to Erosion (RUSLE estimation) d. Minimize cells in Erosion / Deposition zones

Soil depth: 6 - 10.5 m Remapped value: 1 - 5


POST-GA EVALUATION CRITERIA Number of production clusters Total farmland area Total south-oriented farmland area

Levels 1-3 Buildable land

Levels 1-3 / Production Clusters

Level 4 / Farmlands

Level 5 / Forests

Weightages & Threshold angles of Fittest result

Cells Area (ha)

49.09

Farmland - % South Facing - Num of South Facing Forest Constructive - Production

4323 57 % 2464 4492 4965 170

172.9 57 % 98.6 179.7 198.6 6.8

risk map elevation map

2.88 3.40

slope angle map soil depth map slope aspect map

0.15 1.99 1.01

threshold angle for tree types

10.1°

threshold angle for terrace types

24.9°


Design Strategies Individual design strategies for the 5km2 test patch follow the land-use map for the benefit of soil stabilization, supply systems and city integration. Slope, exposure and water runoff analysis are held to inform the different strategies on locating specific landscape elements where they are most needed. Most of these design outcomes will affect the urban development to attempt an interrelated piece of city that responds to the surrounding subsidiary ecosystems.

Hydrological - Ponds and wetlands

Crop distribution Slope gradient 51o Slope Aspect map NW /NE

N

Terraced farming

25o

S SW /SE

1o

Rice paddies

35.7 % 64.3 % Urban cells in wetlands reach (4219)/(168 ha)

Number of Reservoirs (31)

Vegetation distribution

Terraced farming

64.2 ha

Rice paddies

115.5 ha

Farming Cluster Harvesting hubs

Transport strategy

Slope gradient 51o

10 1o

Deep rooted trees

Farmland Clusters Harvesting hubs Harvesting trails

o

Wide rooted trees

Lower Ring road Upper Ring road


Urban System - Generative Process A genetic algorithm is employed to locate the building plots while certain criteria are attempted to improve the spatial quality of public spaces inside the selected urban cluster. The building typology (lowhigh rise) is determined by the land use map. Three hierarchies of public spaces are proposed in response to socio-spatial characteristics of southern Chinese cities.

GA OBJECTIVES 1. Minimize slope angle 2. Minimize avg elevation w.r.t buildg. plot elevation 3. Maximize shaded area 4. Maximize solar exposure 5. Maximize Sky View Factor and Building volume

Test patch - 5 km2

Cluster 1 - 0.08 km2

Experiment patch - 0.7 km2

primary road

harvesting trail

Primary Public Space Secondary Public Space Tertiary Public Space

Fittest results from GA process

G49.32

G49.53

1

1

5

2

4

5

3

2

4

G49.54

3

G49.55

1

1

5

2

4

3

5

2

4

3


Surface flow simulation A surface water flow simulation indicates the incidence of water on the public spaces resulting from the plot generation process. A large incidence of water into the public spaces is required to provide them with recharge or discharge operations according to their location and adjacency to other subsidiary ecosystems. This is to promote the underground and surface water exchange across the hill, contributing to a balanced soil saturation.

50.31

50.54

50.53

50.55

Surface flows

% flow lines on public spaces

4.4 %

5.9 %

6.5 %

5.8 %

% of water incidence on public spaces

2

4 1

3

8 5 7 6

Harvesting Hub Discharge area Recharge areas Other public space Wetland

10 9

1

12.1

6

5.2

2

9.9

7

2.2

3

11.7

8

19.9

4

14.3

9

6.1

5

11.3

10

7.4


Water exchange between public space

Rice paddies Water-discharge

Urban farming Water-recharge

Gardens Water-recharge

Underground waterflow

Wetlands Water-discharge

Water parks Water-discharge

Forest Water-recharge

Underground waterflow

water reservior

wetland

water collection public space


Determining operational public spaces Analysing their slope condition and location, the typology of operational public space into either mainly recharge or discharge public spaces can be established. The water flow simulation will inform the respective incidence of water flowing into certain public space compared to the rest. The data is useful for determining the volume and species of vegetation required for each public space, hence defining the typology to be assigned. The exchange of water between adjacent subsidiary ecosystems can be displayed in a section that goes across a main recharge public space inside the urban environment and the adjacent farming sub-ecosystem. The recharge area is designated as a park with different stages that have specific functions depending on the steepness of the terrain where they are located.

Rice Paddies / Discharge space


Recharge flows

Urban farming / Park

Discharge flows Artificial drainage

Rain Garden

Park

Surface soil

Aquifer

Soil water filter

Bedrock soil


Building generation Given the environmental characteristics of a hot-humid Chinese city, thermal and spatial quality criteria are set as objectives in this new Genetic Algorithm process. Three types of buildings are programmed to achieve higher performances in semi-public space quality as they are adapted to the slope. A final evaluation regarding the effects of building shape on public space quality is contemplated to make the ultimate selection.

Low rise - Double courtyard building

Medium rise - Terraced building

High rise - Pourous tower

GA Objectives 1. Maximize building south facing ratio 2. Maximize semi-public space sky view factor 3. Maximize semi-public shading ratio (summer solstice) 4. Maximize semi-public space solar exposure 5. Maximize the total density

Fittest GA results G 49.22

G 49.26

1

1

5

2

4

5

3

2

4

3

G 49.40

G 49.33

1

1

5

2

4

3

5

2

4

3


Building incidence on public space quality

Public Space 1 46.5 %

Public Space 2 40.0 %

300m

10m

Public Space 3 47.0 %

3D Isovist between public spaces and building terraces

Building porosity and public space enclosure value 49.33 Enclosure Value: 1.510

49.22 Enclosure Value: 1.417

Average porosity value: 0.388

Average porosity value: 0.397

49.26 Enclosure Value: 1.445

49.40 Enclosure Value: 1.504

Average porosity value: 0.409

Average porosity value: 0.414

Positive faces Porous faces


Building Porosity and Public Space Visibility Architectural features Building porosity provides spatial continuity across the city, enhancing visual connectivity and public access through buildings between different public spaces. Pedestrians can then go across operational open spaces starting from the main recharge sub-ecosystem (forest), going through recharge green areas, and leading to water discharge spaces at the bottom of the cluster as they approach the wetland sub-ecosystem. Visibility from building semi-public terraces towards public spaces is attempt by evaluating the incidence of building shapes on the 3d isovist generated from the main public spaces.

Forest / Main Recharge subecosystem

Rain Garden / Recharge space

Park / Recharge space

Surface soil

Aquifer

Bedrock soil


Recharge flows Discharge flows Artificial drainage

Water Park / Discharge space

Wetland / Main discharge subecosystem



FOREST SUB-SYSTEM

Water / Food Supply

Water / Humus

Food Supply

RICE-TERRACE SUB-SYSTEM

Management / Preservation CITY TISSUE SUBSYSTEM

Management / Preservation

Management / Preservation

Water

Underground flows / Evaporation

Food Supply

WATER BODY SUB-SYSTEM


EVOLUTIONARY PRINCIPLES FOR DESIGN

Emergence Seminar - AA EmTech

A series of experiments are held applying the theory of embryological evolution, transmitting the genome (as operational data) through generations (computational iterations). The primitive object is a simple paraboloid with a given body plan, that after a series of alterations provided by the genome will deliver multiple evolved phenotypes (geometric shapes). Specific quantitative objectives are set as fitness criteria for the evaluation of each individual.

Body plan

Gene pool

Fitness Criteria (Objectives) 1. Increase surface area

Copy : 7.5 units (X-axis)

2. Reduce volume

Scale 1D : x 3 (Z-axis)

3. Minimize Y-axis projection area

Scale 3D : x 0.5 Polar array : 3 times (X-Y plane) Rotate : 45 degrees (Y-Z plane) Array : 4 times; distance: 1.5 units (Z-axis) Scale 1D : x 0.5 (X-axis)

Breeding strategy (Generation 4)

Breeding strategy (Generation 5)

Fittest individual (G.3)

Fittest individual (G.4)

Average individual (G.3)

Average individual (G.4)

Least fit individual (G.3)

Least fit individual (G.4)

Introduce new genes

Offspring (1st indiv.) Body parts

Offspring (1st indiv.) Body parts

Mutation strategy (Gen.4)

1

2

3

Mutation strategy (Gen.5)

1

2

3


Offspring (Gen.4)

Indiv, Fit Value

Indiv, Fit Value

Offspring (Gen. 5)

Indiv, Fit Value

Indiv, Fit Value


EVOLUTIONARY PRINCIPLES FOR DESIGN - Architectural application

Emergence Seminar - AA EmTech

Evolutionary mechanisms are applied on a genetic algorithm, this time setting architectural objectives as a primitive urban superblock of China’s Hutong typology is altered across multiple iterations. Environmental performance and spatial quality inside the buildings highly influence the set criteria; while street re-configuration is considered to provide higher variation for the objective values.

Traditional Hutong

Hutong Superblock

Genes affecting body parts

Block height 3-12 m

Block depth 3-8 m

Block depth 3-5 m

Street widht / height 8-15m / 3-5 m

Alley widht 0-5m

GA Objectives Building Exp

Ground Exp Maxim. building exposure

Maxim. ground exposure

Maxim. building volume

Volume


Generation 30

GA Results

Ind. # Fit. Value

Ind. #

Generation 62

Fit. Value

Ind. # Fit. Value

Ind. #

Generation 152

Fit. Value

Ind. # Fit. Value

Ind. # Fit. Value


RESPONSIVE URBAN DESIGN

Core Studio II - AA EmTech

Genetic algorithms together with landscape strategies were employed in this experiment as a response to climatic issues challenging future city development. Environmental conditions and green area accessibility were the factors to be considered in the design development of buildings, parametrically adjusting their geometry according to their location. The proposal of wetlands as a new sub-ecosystem to control flooding determined the consecutive design development. Flooding management strategies

Existing Canal Proposed Canal High risk surface run off Low risk surface run off Wetlands Surface flood

Site Boundary

Proposal

Design strategies

Flood management

Nodes classification

Transport networks

Green connectivity

Final proposal - Top view 7%

Plot areas / tertiary network

Density strategy

Residential 50%

Commercial Social Ammenlities

Morphology distribution

Network integration

Residential Area pp (m2)

30

Commercial Area pp (m2)

15

Total Area of Patch pp (m2)

1,000,000

Total Buildable Area of Patch (m2)

959,383

*Subtracting Rivers, canals and ponds

43%


Building Typologies Courtyard

3 2 1

4

5

Slab

3

8

7 6

2 1

4

5

Tower

6 1

4 3 8 2 7 12 6 11 16 5 10 15 9 14 13

Podium tower

5 2

3

11 8 12 9 13 6 10 7

4

Wetland

5

35 30 36 25 31 37 26 32 38 20 15 21 27 33 39 22 28 34 10 16 11 17 23 29 6 12 18 24 13 19 7 8 14 9

1

3 4

1 2

GA inputs

Terraced gardens generated by repelor linear parks

Building efficiency measured in terms of solar exposure

GA objective: maximize building solar exposure on winter

GA objective: maximize ground solar exposure on winter

GA Results - Zone 5

Garden tower

1 17

4 3 8 2 7 12 6 11 16 5 10 15 19 9 14 13 18


Final proposal - Aerial view Target population: 150,000 Total Buildable area: 586, 000 m2

Wetlands High-rise Repelor

Linear Parks High-rise Repelor High rise strategy - Front view


Aerial view

Wetland view


PNEUMATIC ACTUATION

Core Studio I - AA EmTech

A pneumatic system is employed in this experiment to activate one component of Ron Resch’s triangle folding pattern. To actuate the component, a hinge is designed with an inner membrane that pushes the bent acrylic frames as they unfold the component. A local change of curvature in a surface containing this folding pattern could potentially be achieved by actuating strategically certain components. Hinge type distribution

Assembly process

Frame setting

Non-elastic fabric on pneumatic hinges

Pressure pipes

Actuated Pneumatic Hinges

PVC Hinge

Acrylic Frame

Bonding Tape 3M VHB RP-25

Prototype assembly diagram Solar film

Fabric Hinge PVC 580GSM

Acrylic frame


Pneumatic hinge design

Inflated

Deflated

Acrylic frames

Latex membrane

Non-elastic fabric

+ Air pressure

- Air pressure



PROFESSIONAL WORK

PERU


RESIDENTIAL BUILDING

Cheng Franco Architects - Lima, Peru

Client: Constructora Titan

Residential building developed with Cheng+Franco architectural studio. The design involved 10 apartments, flats and duplexes, between 177 – 360 m2 distributed in 5 stories floors including terrace. The building was arranged in such way that visual access from the main façade towards the green areas in the site was emphasized, locating the main entrance on the secondary façade. The apartments are raised from the ground allowing vehicular entrance for parking area in the basement.

Tasks:

Detailed design of apartments Design of facades Preliminary and tender drawings Renderings / visualization Meetings with clients and construction engineers

Ground floor plan

Third floor plan

Longitudinal section

Transversal section



RETAIL STORE

Cheng Franco Architects - Pacasmayo, Peru

Developed with the Cheng+Franco architectural studio, this retail store consists of a big commercial area (~3600 sm2), administrative offices and small retail galleries. The achievement in this project was to understand the internal operation of a big market store, and developing large scale construction systems and details. Tasks: Detailed interior drawings Preliminar and tender drawings Renderings / visualization Meetings with client and construction engineers / technicians

Ground floor plan

Longitudinal section

Front view

Client: Grupo Falabella


OFFICE BUILDING

Cheng Franco Architects - Lima, Peru

Green areas insertion in working space is the design target, proposed as terraces wrapping the entire building from the entrance to the top, enhancing light and ventilation in the interiors at the same time. These strategies aim for a reduction in overall energy consumption for the building. Tasks:

Conceptual design Detailed design Preliminar drawings Renderings / visualization

Front view

Ground floor plan

Typical floor plan

Roof floor plan

International competition


NURSERY HOUSE

Personal project - Huaral, Peru

Client: World Vision

Located in the desert region of Peru, this small nursery house is designed for the leisure and protection of poor children living in a slum. The client requested participatory workshops with the local community for the project development. The aim was to provide the community with a free and safe space where kids can be taken care of during labour days; as well as a small communal centre for women. Tasks: Overall design Preliminar and tender drawings Renderings / visualization Community participatory workshops

Ground floor plan

First floor plan

Transversal section

Isometric view


RURAL HOUSE

Personal project - CaĂąete, Peru

Client: Private

Inserted in a wine valley, this country summer house is designed for a small family involved in farming and agricultural activity. The big space in the ground floor has crossed openings for visual connectivity with the courtyard and their farm as well as an improved natural ventilation system. The private areas are oriented towards separate directions facing the valley.

Tasks:

Overall design Preliminary drawings Renderings / visualization Meetings with clients and construction engineers

Ground floor plan

Transversal section

First floor plan



UNIVERSIDAD PERUANA DE CIENCIAS APLICADAS

B.ARCH


STUDENT HOUSING A narrow plot sets the challenge on designing a student accommodation building containing commercial activity in the building’s base. Semi public area are proposed on the terrace located in the tightest part of the plot, visually connecting students’ leisure activities to the surrounding areas of the campus.

Ground floor plan

Second floor plan

First floor plan

Fifth floor plan

C

D

E

F

G

H

I

J


Transversal section


COFFEE TOURISTIC CENTRE

B.Arch Thesis - UPC

The remembrance of rural identity amongst urban development in the local town is the ambition of this project. Located inside the only operating farm remaining in the area, this project includes a rural hotel and a pavilion for agricultural events connected via coffee harvesting paths. The overall design focuses on the intimate visual connection with the users and the coffee crops

Gravitational concept - Andean heritage

Descending to crops

Preliminary model

Ground floor plan - patio

Base floor plan - spa

Longitudinal section

Hotel First floor plan - entrance


4

1 3

2 7

8

6 5

1. Lobby 2. Restaurant 3. Coffee shop 4. Museum 5. Coffee mill 6. Patio / drying yard 7. Rooms 8. Spa


1


2

3

4

5

1. Spa 2. Room terrace 3. Hotel model 4. Drying yard 5. Lobby


Agricultural Events Pavilion

B.Arch Thesis - UPC

The challenge for this building is set on designing non-conventional structures to cover a large area for exhibition and agricultural purposes. Permeability in the building is attempted with the roof shape towards the mountain and the crops at the bottom of the valley.

5 7 6

4 3 2 1

Interior Isometric view

Roof structure

Ground floor plan

1. Reception 2. Offices 3. Exhibition hall 1 4. Exhibition hall 2 5. Lecture hall 6. Coffee shop 7. Restrooms


1.

2.

3..

1. Roof detail 2. V-column detail 3. Pavilion module section




DIEGO VALDIVIA diegovaldivialuque@gmail.com / dvaldivialuque@outlook.com +44 7493217350 / +51 994605257


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