CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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Hits 1 to 20 of 1171

_id ecaade2021_203
id ecaade2021_203
authors Arora, Hardik, Bielski, Jessica, Eisenstadt, Viktor, Langenhan, Christoph, Ziegler, Christoph, Althoff, Klaus-Dieter and Dengel, Andreas
year 2021
title Consistency Checker - An automatic constraint-based evaluator for housing spatial configurations
doi https://doi.org/10.52842/conf.ecaade.2021.2.351
source Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 351-358
summary The gradual rise of artificial intelligence (AI) and its increasing visibility among many research disciplines affected Computer-Aided Architectural Design (CAAD). Architectural deep learning (DL) approaches are being developed and published on a regular basis, such as retrieval (Sharma et al. 2017) or design style manipulation (Newton 2019; Silvestre et al. 2016). However, there seems to be no method to evaluate highly constrained spatial configurations for specific architectural domains (such as housing or office buildings) based on basic architectural principles and everyday practices. This paper introduces an automatic constraint-based consistency checker to evaluate the coherency of semantic spatial configurations of housing construction using a small set of design principles to evaluate our DL approaches. The consistency checker informs about the overall performance of a spatial configuration followed by whether it is open/closed and the constraints it didn't satisfy. This paper deals with the relation of spaces processed as mathematically formalized graphs contrary to existing model checking software like Solibri.
keywords model checking, building information modeling, deep learning, data quality
series eCAADe
email
last changed 2022/06/07 07:54

_id acadia20_202p
id acadia20_202p
authors Battaglia, Christopher A.; Verian, Kho; Miller, Martin F.
year 2020
title DE:Stress Pavilion
source ACADIA 2020: Distributed Proximities / Volume II: Projects [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95253-6]. Online and Global. 24-30 October 2020. edited by M. Yablonina, A. Marcus, S. Doyle, M. del Campo, V. Ago, B. Slocum. 202-207
summary Print-Cast Concrete investigates concrete 3D printing utilizing robotically fabricated recyclable green sand molds for the fabrication of thin shell architecture. The presented process expedites the production of doubly curved concrete geometries by replacing traditional formwork casting or horizontal corbeling with spatial concrete arching by developing a three-dimensional extrusion path for deposition. Creating robust non-zero Gaussian curvature in concrete, this method increases fabrication speed for mass customized elements eliminating two-part mold casting by combining robotic 3D printing and extrusion casting. Through the casting component of this method, concrete 3D prints have greater resolution along the edge condition resulting in tighter assembly tolerances between multiple aggregated components. Print-Cast Concrete was developed to produce a full-scale architectural installation commissioned for Exhibit Columbus 2019. The concrete 3D printed compression shell spanned 12 meters in length, 5 meters in width, and 3 meters in height and consisted of 110 bespoke panels ranging in weight of 45 kg to 160 kg per panel. Geometrical constraints were determined by the bounding box of compressed sand mold blanks and tooling parameters of both CNC milling and concrete extrusion. Using this construction method, the project was able to be assembled and disassembled within the timeframe of the temporary outdoor exhibit, produce <1% of waste mortar material in fabrication, and utilize 60% less material to construct than cast-in-place construction. Using the sand mold to contain geometric edge conditions, the Print-Cast technique allows for precise aggregation tolerances. To increase the pavilions resistance to shear forces, interlocking nesting geometries are integrated into each edge condition of the panels with .785 radians of the undercut. Over extruding strategically during the printing process casts the undulating surface with accuracy. When nested together, the edge condition informs both the construction logic of the panel’s placement and orientation for the concrete panelized shell.
series ACADIA
type project
email
last changed 2021/10/26 08:08

_id acadia20_192p
id acadia20_192p
authors Doyle, Shelby; Hunt, Erin
year 2020
title Melting 2.0
source ACADIA 2020: Distributed Proximities / Volume II: Projects [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95253-6]. Online and Global. 24-30 October 2020. edited by M. Yablonina, A. Marcus, S. Doyle, M. del Campo, V. Ago, B. Slocum. 192-197
summary This project presents computational design and fabrication methods for locating standard steel reinforcement within 3D printed water-soluble PVA (polyvinyl alcohol) molds to create non-standard concrete columns. Previous methods from “Melting: Augmenting Concrete Columns with Water Soluble 3D Printed Formwork” and “Dissolvable 3D Printed Formwork: Exploring Additive Manufacturing for Reinforced Concrete” (Doyle & Hunt 2019) were adapted for larger-scale construction, including the introduction of new hardware, development of custom programming strategies, and updated digital fabrication techniques. Initial research plans included 3D printing continuous PVA formwork with a KUKA Agilus Kr10 R1100 industrial robotic arm. However, COVID-19 university campus closures led to fabrication shifting to the author’s home, and this phase instead relied upon a LulzBot TAZ 6 (build volume of 280 mm x 280 mm x 250 mm) with an HS+ (Hardened Steel) tool head (1.2 mm nozzle diameter). Two methods were developed for this project phase: new 3D printing hardware and custom GCode production. The methods were then evaluated in the fabrication of three non-standard columns designed around five standard reinforcement bars (3/8-inch diameter): Woven, Twisted, Aperture. Each test column was eight inches in diameter (the same size as a standard Sonotube concrete form) and 4 feet tall, approximately half the height of an architecturally scaled 8-foot-tall column. Each column’s form was generated from combining these diameter and height restrictions with the constraints of standard reinforcement placement and minimum concrete coverage. The formwork was then printed, assembled, cast, and then submerged in water to dissolve the molds to reveal the cast concrete. This mold dissolving process limits the applicable scale for the work as it transitions from the research lab to the construction site. Therefore, the final column was placed outside with its mold intact to explore if humidity and water alone can dissolve the PVA formwork in lieu of submersion.
series ACADIA
type project
email
last changed 2021/10/26 08:08

_id acadia20_382
id acadia20_382
authors Hosmer, Tyson; Tigas, Panagiotis; Reeves, David; He, Ziming
year 2020
title Spatial Assembly with Self-Play Reinforcement Learning
doi https://doi.org/10.52842/conf.acadia.2020.1.382
source ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 382-393.
summary We present a framework to generate intelligent spatial assemblies from sets of digitally encoded spatial parts designed by the architect with embedded principles of prefabrication, assembly awareness, and reconfigurability. The methodology includes a bespoke constraint-solving algorithm for autonomously assembling 3D geometries into larger spatial compositions for the built environment. A series of graph-based analysis methods are applied to each assembly to extract performance metrics related to architectural space-making goals, including structural stability, material density, spatial segmentation, connectivity, and spatial distribution. Together with the constraint-based assembly algorithm and analysis methods, we have integrated a novel application of deep reinforcement (RL) learning for training the models to improve at matching the multiperformance goals established by the user through self-play. RL is applied to improve the selection and sequencing of parts while considering local and global objectives. The user’s design intent is embedded through the design of partial units of 3D space with embedded fabrication principles and their relational constraints over how they connect to each other and the quantifiable goals to drive the distribution of effective features. The methodology has been developed over three years through three case study projects called ArchiGo (2017–2018), NoMAS (2018–2019), and IRSILA (2019-2020). Each demonstrates the potential for buildings with reconfigurable and adaptive life cycles.
series ACADIA
type paper
email
last changed 2023/10/22 12:06

_id acadia20_142p
id acadia20_142p
authors Kilian, Axel
year 2020
title The Flexing Room
source ACADIA 2020: Distributed Proximities / Volume II: Projects [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95253-6]. Online and Global. 24-30 October 2020. edited by M. Yablonina, A. Marcus, S. Doyle, M. del Campo, V. Ago, B. Slocum. 142-147
summary Robotics has been largely confined to the object category with fewer examples at the scale of buildings. Robotic buildings present unique challenges in communicating intent to the enclosed user. Precedent work in architectural robotics explored the performative dimension, the playful and interactive qualities, and the cognitive challenges of AI systems interacting with people in architecture. The Flexing Room robotic skeleton was installed at MIT at its full designed height for the first time and tested for two weeks in the summer of 2019. The approximately 13-foot-tall structure is comprised of 36 pneumatic actuators and an active bend fiberglass structure. The full height allowed for a wide range of postures the structure could take. Acoustic monitoring through Piezo pickup mics was added that allowed for basic rhythmic responses of the structure to people tapping or otherwise triggering the vibration sensors. Data streams were collected synchronously from Kinect skeleton tracking, piezo pickup mics, camera streams, and posture data. The emphasis in this test period was first to establish reliable hardware operations at full scale and second to record correlated data streams of the sensors installed in the structure together with the actuation triggers and the human poses of the inhabitant. The full-scale installation of hardware was successful and proved the feasibility of the structural and actuation approach previously tested on a one-level setup. The range of postures was increased and more transparent for the occupant. The perception of the structure as space was also improved as the system reached regular ceiling height and formed a clearer architectural scale enclosure. The ambition of communicating through architectural postures has not been achieved yet, but promising directions emerged from the test and data collection
series ACADIA
type project
email
last changed 2021/10/26 08:03

_id acadia20_176p
id acadia20_176p
authors Lok, Leslie; Zivkovic, Sasa
year 2020
title Ashen Cabin
source ACADIA 2020: Distributed Proximities / Volume II: Projects [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95253-6]. Online and Global. 24-30 October 2020. edited by M. Yablonina, A. Marcus, S. Doyle, M. del Campo, V. Ago, B. Slocum. 176-181
summary Ashen Cabin, designed by HANNAH, is a small building 3D-printed from concrete and clothed in a robotically fabricated envelope made of irregular ash wood logs. From the ground up, digital design and fabrication technologies are intrinsic to the making of this architectural prototype, facilitating fundamentally new material methods, tectonic articulations, forms of construction, and architectural design languages. Ashen Cabin challenges preconceived notions about material standards in wood. The cabin utilizes wood infested by the Emerald Ash Borer (EAB) for its envelope, which, unfortunately, is widely considered as ‘waste’. At present, the invasive EAB threatens to eradicate most of the 8.7 billion ash trees in North America (USDA, 2019). Due to their challenging geometries, most infested ash trees cannot be processed by regular sawmills and are therefore regarded as unsuitable for construction. Infested and dying ash trees form an enormous and untapped material resource for sustainable wood construction. By implementing high precision 3D scanning and robotic fabrication, the project upcycles Emerald-Ash-Borer-infested ‘waste wood’ into an abundantly available, affordable, and morbidly sustainable building material for the Anthropocene. Using a KUKA KR200/2 with a custom 5hp band saw end effector at the Cornell Robotic Construction Laboratory (RCL), the research team can saw irregular tree logs into naturally curved boards of various and varying thicknesses. The boards are arrayed into interlocking SIP façade panels, and by adjusting the thickness of the bandsaw cut, the robotically carved timber boards can be assembled as complex single curvature surfaces or double-curvature surfaces. The undulating wooden surfaces accentuate the building’s program and yet remain reminiscent of the natural log geometry which they are derived from. The curvature of the wood is strategically deployed to highlight moments of architectural importance such as windows, entrances, roofs, canopies, or provide additional programmatic opportunities such as integrated shelving, desk space, or storage.
series ACADIA
type project
email
last changed 2021/10/26 08:08

_id acadia20_136p
id acadia20_136p
authors López Lobato, Déborah; Charbel, Hadin
year 2020
title Foll(i)cle
source ACADIA 2020: Distributed Proximities / Volume II: Projects [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95253-6]. Online and Global. 24-30 October 2020. edited by M. Yablonina, A. Marcus, S. Doyle, M. del Campo, V. Ago, B. Slocum. 136-141
summary In the early months of 2019, air pollution in Bangkok reached a record high, bringing national and international attention to the air quality in the South East Asian cosmopolitan. Although applications such as real-time pollution maps provide an environmental reading from the exterior, such information reveals the ‘here and now,’ where its record is inevitably lost through the ‘refreshing’ process of the live update and does not take increment and accumulation as factors to consider. The project was conceived around understanding the human body as precisely that medium that resists classification as either an interior or exterior environment that inherently performs as an impressionable record of its surroundings. Can a city’s toxicity be read through its living constituents? Can the living bodies that dwell, navigate, breathe, and process habitable environments be accessed? Can architecture retain a degree of independence while also performing as a beacon for the collective? Along this line of questioning, it was found that human hair can be transformed from a material that is effortlessly and continuously grown, cut, stylized, and discarded, and instead be intercepted and used in the production of public information gathering. Foll(i)cle is a collective being made of discarded human hair. Performing as a parliament for collectivity embedded with a protocol; the hairy pavilion invites the public in and presents them with a device at the center that hosts all the necessary equipment and information for anonymously and voluntarily providing hair samples for heavy metal analysis, the data of which is used in making a publically accessible toxi-cartography. Although humans are the primary subject for this study, the results suggest that extending the methodology to non-humans could prove useful in reading urban toxicity through various life forms.
series ACADIA
type project
email
last changed 2021/10/26 08:03

_id acadia21_70
id acadia21_70
authors McAndrew, Claire; Jaschke, Clara; Retsin, Gilles; Saey, Kevin; Claypool, Mollie; Parissi, Danaë
year 2021
title House Block
doi https://doi.org/10.52842/conf.acadia.2021.070
source ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 70-75.
summary House Block was a temporary housing prototype in East London, UK from April to May 2021. The project constituted the most recent in a series of experiments developing Automated Architecture (AUAR) Labs’ discrete framework for housing production, one which repositions the architect as curator of a system and enables participants to engage with active agency. Recognizing that there is a knowledge gap to be addressed for this reconfiguration of practices to take form, this project centred on making automation and its potential for local communities tangible. This sits within broader calls advocating for a more material alignment of inclusive design with makers and 21st Century making in practice (see, for example, Luck 2018).

House Block was designed and built using AUAR’s discrete housing system consisting of a kit of parts, known as Block Type A. Each block was CNC milled from a single sheet of plywood, assembled by hand, and then post-tensioned on site. Constructed from 270 identical blocks, there are no predefined geometric types or hierarchy between parts. The discrete enables an open-ended, adaptive system where each block can be used as a column, floor slab, wall, or stair—allowing for disconnection, reconfiguration, and reassembly (Retsin 2019). The democratisation of design and production that defines the discrete creates points for alternative value systems to enter, for critical realignments in architectural production.

series ACADIA
type project
email
last changed 2023/10/22 12:06

_id acadia20_38
id acadia20_38
authors Mueller, Stephen
year 2020
title Irradiated Shade
doi https://doi.org/10.52842/conf.acadia.2020.1.038
source ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 38-46.
summary The paper details computational mapping and modeling techniques from an ongoing design research project titled Irradiated Shade, which endeavors to develop and calibrate a computational toolset to uncover, represent, and design for the unseen dangers of ultraviolet radiation, a growing yet underexplored threat to cities, buildings, and the bodies that inhabit them. While increased shade in public spaces has been advocated as a strategy for “mitigation [of] climate change” (Kapelos and Patterson 2014), it is not a panacea to the threat. Even in apparent shade, the body is still exposed to harmful, ambient, or “scattered” UVB radiation. The study region is a binational metroplex, a territory in which significant atmospheric pollution and the effects of climate change (reduced cloud cover and more “still days” of stagnant air) amplify the “scatter” of ultraviolet wavelengths and UV exposure within shade, which exacerbates urban conditions of shade as an “index of inequality” (Bloch 2019) and threatens public health. Exposure to indirect radiation correlates to the amount of sky visible from the position of an observer (Gies and Mackay 2004). The overall size of a shade structure, as well as the design of openings along its sides, can greatly impact the UV protection factor (UPF) (Turnbull and Parisi 2005). Shade, therefore, is more complex than ubiquitous urban and architectural “sun” and “shadow studies” are capable of representing, as such analyses flatten the three-dimensional nature of radiation exposure and are “blind” to the ultraviolet spectrum. “Safe shade” is contingent on the nuances of the surrounding built environment, and designers must be empowered to observe and respond to a wider context than current representational tools allow.
series ACADIA
type paper
email
last changed 2023/10/22 12:06

_id acadia21_76
id acadia21_76
authors Smith, Rebecca
year 2021
title Passive Listening and Evidence Collection
doi https://doi.org/10.52842/conf.acadia.2021.076
source ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 76-81.
summary In this paper, I present the commercial, urban-scale gunshot detection system ShotSpotter in contrast with a range of ecological sensing examples which monitor animal vocalizations. Gunshot detection sensors are used to alert law enforcement that a gunshot has occurred and to collect evidence. They are intertwined with processes of criminalization, in which the individual, rather than the collective, is targeted for punishment. Ecological sensors are used as a “passive” practice of information gathering which seeks to understand the health of a given ecosystem through monitoring population demographics, and to document the collective harms of anthropogenic change (Stowell and Sueur 2020). In both examples, the ability of sensing infrastructures to “join up and speed up” (Gabrys 2019, 1) is increasing with the use of machine learning to identify patterns and objects: a new form of expertise through which the differential agendas of these systems are implemented and made visible. I trace the differential agendas of these systems as they manifest through varied components: the spatial distribution of hardware in the existing urban environment and / or landscape; the software and other informational processes that organize and translate the data; the visualization of acoustical sensing data; the commercial factors surrounding the production of material components; and the apps, platforms, and other forms of media through which information is made available to different stakeholders. I take an interpretive and qualitative approach to the analysis of these systems as cultural artifacts (Winner 1980), to demonstrate how the political and social stakes of the technology are embedded throughout them.
series ACADIA
type paper
email
last changed 2023/10/22 12:06

_id acadia20_148p
id acadia20_148p
authors Vansice, Kyle; Attraya, Rahul; Culligan, Ryan; Johnson, Benton; Sondergaard, Asbjorn; Peters, Nate
year 2020
title Stereoform Slab
source ACADIA 2020: Distributed Proximities / Volume II: Projects [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95253-6]. Online and Global. 24-30 October 2020. edited by M. Yablonina, A. Marcus, S. Doyle, M. del Campo, V. Ago, B. Slocum. 148-153
summary Stereoform Slab is both a pavilion and a prototype - an exhibition for the 2019 Chicago Architectural Biennial. It is an experiment in how digital form-finding and robotics can be leveraged to rethink the future of concrete construction. Stereoform Slab examines the role of one of the most ubiquitous horizontal elements in the city - the concrete slab, also the most common element in contemporary construction. Using smarter forming systems - in this case, a ruled-surface-derived, robotic hotwire process - the Stereoform Slab prototype proved that the amount of material used and waste generated could be minimized without increasing construction complexity, by about 20% over a conventional system. Stereoform also extends the conventional concrete span (column spacing), specifically in Chicago, from 30’ to 45’. In developing a concrete forming system that affords added flexibility without increasing construction costs, it is possible to reduce embodied carbon significantly. The method allows reducing carbon in buildings that aren’t typically the subject of advanced architectural design or rigorous optimization – conventional buildings that compose a majority of our built environment, and its respective contributions to global carbon emissions. Stereoform is the result of a multi-objective design optimization process. Optimal materialization, according to the compressive/tensile physics present in beam design, was balanced against the fabrication constraints of a singularly ruled-surface, which enables fast form-making using robotic hotwire cutting. SOM and Autodesk collaborated to mirror the approach developed to optimize Stereoform slab as a pavilion, to the building scale, using the multi-objective optimization platform Refinery. Project Refinery allowed the team to create a hyper-responsive system design that could adapt to any number of varying programmatic conditions and loading patterns. The development of this approach is a crucial step in making optimization techniques flexible enough to balance the number of competing parameters in the design process available and accessible to a broader design audience within architecture and engineering.
series ACADIA
type project
email
last changed 2021/10/26 08:03

_id ecaadesigradi2019_508
id ecaadesigradi2019_508
authors Yenice, Yagmur and Park, Daekwon
year 2019
title V-INCA - Designing a smart geometric configuration for dry masonry wall
doi https://doi.org/10.52842/conf.ecaade.2019.2.515
source Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 515-520
summary Soil is still used as a building material in many parts of the world, especially in rural areas. Approximately 30% of the world's population is still living in shelters made by soil (Berge 2009). One of the techniques is using soil in mudbrick form, which is sun dried instead of being fired in kilns. However, mud bricks have low compressive and tensile strength. Instead of enhancing the mix formula, we focus on designing the geometry of the brick itself to improve walls' overall compressive and tensile strength. The goal of the research is to explore an innovative way to build masonry walls through geometrical examination together with computer aided design. Unlike traditional horizontal laying of the rectangular brick elements, 3D designed blocks take advantage of gravity and foster an accelerated assembly without mortar. They create a balance point in the middle of the wall during the construction. The geometry of V-INCA blocks allows dry construction which will reduce the amount of time spent on the site. Load distribution and the friction between two surfaces are sufficient to have a dry construction. Thus, a wall built with V-INCA is stronger intrinsically due to its geometry.
keywords Dry masonry construction; smart geometrical design; on-site material; compressed earth blocks; Inca masonry
series eCAADeSIGraDi
email
last changed 2022/06/07 07:57

_id acadia21_340
id acadia21_340
authors Zhang, Yu; Tatarintseva, Liz; Clewlow, Tom; Clark, Ed; Botsford, Gianni; Shea, Kristina
year 2021
title Mortarless Compressed Earth Block Dwellings
doi https://doi.org/10.52842/conf.acadia.2021.340
source ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 340-345.
summary This project develops a template design and an adaptive fabrication process for sustainable Compressed Earth Block (CEB) dwellings for low-income countries. Most existing projects (Wilton et al. 2019; WASP 2021) on sustainable dwellings involve high-tech equipment or skilled workers on-site. This project integrates digital technologies into the design and fabrication processes to reduce these requirements and make the design compatible with conventional construction methods that are actively adopted in low-income countries using minimum infrastructure, skilled labor, and investment.
series ACADIA
type project
email
last changed 2023/10/22 12:06

_id ecaade2021_151
id ecaade2021_151
authors Zolghadrasli, Niloofar, Hadighi, Mahyar and Costa, Eduardo
year 2021
title Computational Generation of Hybrid Façades for a Focal Context - The case of Naser-Khosrow Street in Tehran
doi https://doi.org/10.52842/conf.ecaade.2021.2.333
source Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 333-340
summary The purpose of this paper is to use shape grammar methodology to generate contextualized urban façades within the focal context of Naser-Khosrow Street in Iran's capital city of Tehran. The history of Naser-Khosrow Street, which is considered a significant historic urban space, begins in the Safavid period (1735-1501). Yet, the urban history and historical significance of this street have been neglected in recent years. Evidence of a sense of turmoil and incompatibility between the modern and traditional architectural façades featured on the street is easily observed. Against this background, this paper offers façade models generated based on the computational methodology developed by Hadighi and Duarte (2019, 2020) to determine and capture the hybrid expression of European modernist and American traditional styles. In this spirit, the systematic methodology of shape grammar is expanded to the focal urban area of Naser-Khosrow Street to generate new façade layouts referencing the characteristic features of some of the iconic buildings located there.
keywords Shape Grammar, Naser -Khosrow Street, Façade Design, Generating Hybridity
series eCAADe
email
last changed 2022/06/07 07:57

_id acadia19_000
id acadia19_000
year 2019
title ACADIA 19:UBIQUITY AND AUTONOMY
doi https://doi.org/10.52842/conf.acadia.2019
source ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) 702 p.
series ACADIA
last changed 2022/06/07 07:49

_id cf2019_052
id cf2019_052
authors Abdelmohsen, Sherif ;Passaint Massoud, Rana El-Dabaa, Aly Ibrahim and Tasbeh Mokbel
year 2019
title The Effect of Hygroscopic Design Parameters on the Programmability of Laminated Wood Composites for Adaptive Façades
source Ji-Hyun Lee (Eds.) "Hello, Culture!"  [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 435
summary Typical adaptive façades respond to external conditions to enhance indoor spaces based on complex mechanical actuators and programmable functions. Hygroscopic embedded properties of wood, as low-cost low-tech programmable material, have been utilized to induce passive motion mechanisms. Wood as anisotropic material allows for different passive programmable motion configurations that relies on several hygroscopic design parameters. This paper explores the effect of these parameters on programmability of laminated wood composites through physical experiments in controlled humidity environment. The paper studies variety of laminated configurations involving different grain orientations, and their effect on maximum angle of deflection and its durability. Angle of deflection is measured using image analysis software that is used for continuous tracking of deflection in relation to time. Durability is studied as the number of complete programmable cycles that wood could withstand before reaching point of failure. Results revealed that samples with highest deflection angle have least programmability durability.
keywords Wood, hygroscopic design, lamination, deflection, durability, adaptive façades
series CAAD Futures
email
last changed 2019/07/29 14:18

_id ijac201917206
id ijac201917206
authors Ackerman, Aidan; Jonathan Cave, Chien-Yu Lin and Kyle Stillwell
year 2019
title Computational modeling for climate change: Simulating and visualizing a resilient landscape architecture design approach
source International Journal of Architectural Computing vol. 17 - no. 2, 125-147
summary Coastlines are changing, wildfires are raging, cities are getting hotter, and spatial designers are charged with the task of designing to mitigate these unknowns. This research examines computational digital workflows to understand and alleviate the impacts of climate change on urban landscapes. The methodology includes two separate simulation and visualization workflows. The first workflow uses an animated particle fluid simulator in combination with geographic information systems data, Photoshop software, and three-dimensional modeling and animation software to simulate erosion and sedimentation patterns, coastal inundation, and sea level rise. The second workflow integrates building information modeling data, computational fluid dynamics simulators, and parameters from EnergyPlus and Landsat to produce typologies and strategies for mitigating urban heat island effects. The effectiveness of these workflows is demonstrated by inserting design prototypes into modeled environments to visualize their success or failure. The result of these efforts is a suite of workflows which have the potential to vastly improve the efficacy with which architects and landscape architects use existing data to address the urgency of climate change.
keywords Modeling, simulation, environment, ecosystem, landscape, climate change, sea level rise, urban heat island
series journal
email
last changed 2019/08/07 14:04

_id acadia19_168
id acadia19_168
authors Adilenidou, Yota; Ahmed, Zeeshan Yunus; Freek, Bos; Colletti, Marjan
year 2019
title Unprintable Forms
doi https://doi.org/10.52842/conf.acadia.2019.168
source ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp.168-177
summary This paper presents a 3D Concrete Printing (3DCP) experiment at the full scale of virtualarchitectural bodies developed through a computational technique based on the use of Cellular Automata (CA). The theoretical concept behind this technique is the decoding of errors in form generation and the invention of a process that would recreate the errors as a response to optimization (Adilenidou 2015). The generative design process established a family of structural and formal elements whose proliferation is guided through sets of differential grids (multi-grids) leading to the build-up of large span structures and edifices, for example, a cathedral. This tooling system is capable of producing, with specific inputs, a large number of outcomes in different scales. However, the resulting virtual surfaces could be considered as "unprintable" either due to their need of extra support or due to the presence of many cavities in the surface topology. The above characteristics could be categorized as errors, malfunctions, or undesired details in the geometry of a form that would need to be eliminated to prepare it for printing. This research project attempts to transform these "fabrication imprecisions" through new 3DCP techniques into factors of robustness of the resulting structure. The process includes the elimination of the detail / "errors" of the surface and their later reinsertion as structural folds that would strengthen the assembly. Through this process, the tangible outputs achieved fulfill design and functional requirements without compromising their structural integrity due to the manufacturing constraints.
series ACADIA
type normal paper
email
last changed 2022/06/07 07:54

_id caadria2019_660
id caadria2019_660
authors Aghaei Meibodi, Mania, Giesecke, Rena and Dillenburger, Benjamin
year 2019
title 3D Printing Sand Molds for Casting Bespoke Metal Connections - Digital Metal: Additive Manufacturing for Cast Metal Joints in Architecture
doi https://doi.org/10.52842/conf.caadria.2019.1.133
source M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 133-142
summary Metal joints play a relevant role in space frame constructions, being responsible for large amount of the overall material and fabrication cost. Space frames which are constructed with standardized metal joints are constrained to repetitive structures and topologies. For customized space frames, the fabrication of individual metal joints still remains a challenge. Traditional fabrication methods such as sand casting are labour intensive, while direct 3D metal printing is too expensive and slow for the large volumes needed in architecture.This research investigates the use of Binder Jetting technology to 3D print sand molds for casting bespoke metal joints in architecture. Using this approach, a large number of custom metal joints can be fabricated economically in short time. By automating the generation of the joint geometry and the corresponding mold system, an efficient digital process chain from design to fabrication is established. Several design studies for cast metal joints are presented. The approach is successfully tested on the example of a full scale space frame structure incorporating almost two hundred custom aluminum joints.
keywords 3D printing; binder jetting; sand casting; metal joints; metal casting; space frame; digital fabrication; computational design; lightweight; customization
series CAADRIA
email
last changed 2022/06/07 07:54

_id cf2019_055
id cf2019_055
authors Agirbas, Asli
year 2019
title A proposal for the use of fractal geometry algorithmically in tiling design
source Ji-Hyun Lee (Eds.) "Hello, Culture!"  [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 438-453
summary The design inspired by nature is an ongoing issue from the past to the present. There are many design examples inspired from nature. Fractal geometry formation, which is focused on this study, is a system seen in nature. A model based on fractal growth principle was proposed for tile design. In this proposal made with using Visual Programming Language, a tiling design experiment placed in a hexagonal grid system was carried out. Thus, a base was created for tile designs to be made using the fractal principle. The results of the case study were evaluated and potential future studies were discussed.
keywords Fractals, Tile design, Biomimetic design, Algorithmic design
series CAAD Futures
email
last changed 2019/07/29 14:18

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