Cumincad : CUMINCAD Papers : Search Results

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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_id	acadia17_102
id	acadia17_102
authors	Aparicio, German
year	2017
title	Data-Insight-Driven Project Delivery: Approach to Accelerated Project Delivery Using Data Analytics, Data Mining and Data Visualization
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 102-109
doi	https://doi.org/10.52842/conf.acadia.2017.102
summary	Today, 98% of megaprojects face cost overruns or delays. The average cost increase is 80% and the average slippage is 20 months behind schedule (McKinsey 2015). It is becoming increasingly challenging to efficiently support the scale, complexity and ambition of these projects. Simultaneously, project data is being captured at growing rates. We continue to capture more data on a project than ever before. Total data captured back in 2009 in the construction industry reached over 51 petabytes, or 51 million gigabytes (Mckinsey 2016). It is becoming increasingly necessary to develop new ways to leverage our project data to better manage the complexity on our projects and allow the many stakeholders to make better more informed decisions. This paper focuses on utilizing advances in data mining, data analytics and data visualization as means to extract project information from massive datasets in a timely fashion to assist in making key informed decisions for project delivery. As part of this paper, we present an innovative new use of these technologies as applied to a large-scale infrastructural megaproject, to deliver a set of over 4,000 construction documents in a six-month period that has the potential to dramatically transform our industry and the way we deliver projects in the future. This paper describes a framework used to measure production performance as part of any project’s set of project controls for accelerated project delivery.
keywords	design methods; information processing; data mining; big data; data visualization
series	ACADIA
email
last changed	2022/06/07 07:55

_id	acadia16_332
id	acadia16_332
authors	Retsin, Gilles; Garcia, Manuel Jimenez
year	2016
title	Discrete Computational Methods for Robotic Additive Manufacturing: Combinatorial Toolpaths
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 332-341
doi	https://doi.org/10.52842/conf.acadia.2016.332
summary	The research presented in this paper is part of a larger, emerging body of research into large-scale 3D printing. The research attempts to develop a computational design method specifically for large-scale 3D printing of architecture. Influenced by the concept of Digital Materials, this research is situated within a critical discussion of what fundamentally constitutes a digital object and process. This requires a holistic understanding, taking into account both computational design and fabrication. The intrinsic constraints of the fabrication process are used as opportunities and generative drivers in the design process. The paper argues that a design method specifically for 3D printing should revolve around the question of how to organize toolpaths for the continuous addition or layering of material. Two case-study projects advance discrete methods as efficient ways to compute a continuous printing process. In contrast to continuous models, discrete models allow users to serialize problems and errors in toolpaths. This allows a local optimization of the structure, avoiding the use of global, computationally expensive, problem-solving algorithms. Both projects make use of a voxel-based approach, where a design is generated directly from the combination of thousands of serialized toolpath fragments. The understanding that serially repeated elements can be assembled into highly complex and heterogeneous structures has implications stretching beyond 3D printing. This combinatorial approach for example also becomes highly valuable for construction systems based on modularity and prefabrication.
keywords	prgrammable materials, simulation and design optimization, digital fabrication, big data
series	ACADIA
type	paper
email
last changed	2022/06/07 07:56

_id	caadria2020_354
id	caadria2020_354
authors	Tomarchio, Ludovica, He, Peijun, Herthogs, Pieter and Tuncer, Bige
year	2020
title	Cultural-Smart City: Establishing New Data-informed Practices to Plan Culture in Cities
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 81-90
doi	https://doi.org/10.52842/conf.caadria.2020.2.081
summary	The idea of the Creative City has encouraged planners to develop cultural policies to support creative economies, city branding, urban identity and urban quality. On the other side, the concept of Smart City introduced the possibility to create, collect and analyse data to inform decisions on cities. The two city agendas overlap in different ways, creating a Smart cultural city nexus, that propose similar goals and mixed methodologies, like the possibility to inform planning processes with big data-based technologies. In line with this direction, we introduced conceptual and methodological tools: the first tool is the definition of Hybrid Art Spaces, the second tool is the Singapore Art Maps (SAM), which uses social media data to locate art venues in cities (Tomarchio et al. 2016); the third tool is the Social Media Art Model, which establishes a relationship between social media production and art venues features. While these tools have already shown interesting analytics outcomes (Tomarchio et al. 2016), it is important to validate their utility among practitioners and to set protocols of practices. This paper presents results from semi-structured interviews and a focus group, as a first step towards assessing the usefulness of our three tools for cultural planning practice.
keywords	social media; art; cultural planning; urban planning
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	acadia16_196
id	acadia16_196
authors	Yuan, Philip F.; Chai, Hua; Yan, Chao; Zhou, Jin Jiang
year	2016
title	Robotic Fabrication of Structural Performance-based Timber Gridshell in Large-Scale Building Scenario
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp 196-205
doi	https://doi.org/10.52842/conf.acadia.2016.196
summary	This paper investigates the potential of a digital geometry system to integrate structural performance-based design and robotic fabrication in the scenario of building a large-scale non-uniform timber shell. It argues that a synthesis of multi-objective optimization, design and construction phases is required in the realization of timber shell construction in architecture practice in order to fulfill the demands of building regulation. Confronting the structural challenge of the non-uniform shell, a digital geometry system correlates all the three phases by translating geometrical information between them. First, a series of structural simulations and experimentations with different objectives are executed to inform the particular shape and tectonic details of each shell component based on its local condition in the geometrical system. Then, controlled by the geometrical system, a hybrid process of different digital fabrication technologies, including a customized robotic timber mill, is established to enable the manufacture of the heterogeneous shell components. Ultimately, the Timber Structure Enterprise Pavilion as the demonstration and evaluation of this method is fabricated and assembled on site through a notational system to indicate the applicability of this research in practical scenarios.
keywords	robotic fabrication, geometrical information modeling, simulation and design optimization, big data
series	ACADIA
type	paper
email
last changed	2022/06/07 07:57

_id	acadia16_154
id	acadia16_154
authors	Brugnaro, Giulio; Baharlou, Ehsan; Vasey, Lauren; Menges, Achim
year	2016
title	Robotic Softness: An Adaptive Robotic Fabrication Process for Woven Structures
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 154-163
doi	https://doi.org/10.52842/conf.acadia.2016.154
summary	This paper investigates the potential of behavioral construction strategies for architectural production through the design and robotic fabrication of three-dimensional woven structures inspired by the behavioral fabrication logic used by the weaverbird during the construction of its nest. Initial research development led to the design of an adaptive robotic fabrication framework composed of an online agent-based system, a custom weaving end-effector and a coordinated sensing strategy utilizing 3D scanning.The outcome of the behavioral weaving process could not be predetermined a priori in a digital model, but rather emerged out of the negotiation among design intentions, fabrication constraints, performance criteria, material behaviors and specific site conditions. The key components of the system and their role in the fabrication process are presented both theoretically and technically, while the project serves as a case study of a robotic production method envisioned as a soft system: a flexible and adaptable framework in which the moment of design unfolds simultaneously with fabrication, informed by a constant flow of sensory information.
keywords	soft systems, agent-based systems, robotic fabrication, sensate systems
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_id	acadia16_12
id	acadia16_12
authors	Gerber, David Jason; Pantazis, Evangelos
year	2016
title	A Multi-Agent System for Facade Design: A design methodology for Design Exploration, Analysis and Simulated Robotic Fabrication
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 12-23
doi	https://doi.org/10.52842/conf.acadia.2016.012
summary	For contemporary design practices, there still remains a disconnect between design tools used for early stage design exploration and performance analysis, and those used for fabrication and construction of complex tectonic architectural systems. The research brings forward downstream fabrication constraints into the up-stream design exploration and design decision making. This paper addresses the issues of developing an integrated digital design work-flow and details a research framework for the incorporation of environmental performance into a robotic fabrication for early stage design exploration and generation of intricate and complex alternative façade designs. The method allows the user to import a design surface, define design parameters, set a number of environmental performance objectives, and then simulate and select a robotic construction strategy. Based on these inputs, design alternatives are generated and evaluated in terms of their performance criteria in consideration of their robotically simulated constructability. In order to validate the proposed framework, an experimental case study of office building façade designs that are generatively created from a multi-agent system for design methodology is design explored and evaluated. Initial results define a heuristic function for improving simulated robotic constructability and illustrate the functionality of our prototype. Project limitations and future research steps are then discussed.
keywords	generative design, multi-objective design optimization, robotic fabrication, simulation, design performance, design decision making
series	ACADIA
type	paper
email
last changed	2022/06/07 07:51

_id	acadia16_98
id	acadia16_98
authors	Smith, Shane Ida; Lasch, Chris
year	2016
title	Machine Learning Integration for Adaptive Building Envelopes: An Experimental Framework for Intelligent Adaptive Control
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 98-105
doi	https://doi.org/10.52842/conf.acadia.2016.098
summary	This paper describes the development of an Intelligent Adaptive Control (IAC) framework that uses machine learning to integrate responsive passive conditioning at the envelope into a building’s comprehensive conventional environmental control system. Initial results show that by leveraging adaptive computational control to orchestrate the building’s mechanical and passive systems together, there exists a demonstrably greater potential to maximize energy efficiency than can be gained by focusing on either system individually, while the addition of more passive conditioning strategies significantly increase human comfort, health and wellness building-wide. Implicitly, this project suggests that, given the development and ever increasing adoption of building automation systems, a significant new site for computational design in architecture is expanding within the post-occupancy operation of a building, in contrast to architects’ traditional focus on the building’s initial design. Through the development of an experimental framework that includes physical material testing linked to computational simulation, this project begins to describe a set of tools and procedures by which architects might better conceptualize, visualize, and experiment with the design of adaptive building envelopes. This process allows designers to ultimately engage in the opportunities presented by active systems that govern the daily interactions between a building, its inhabitants, and their environment long after construction is completed. Adaptive material assemblies at the envelope are given special attention since it is here that a building’s performance and urban expression are most closely intertwined.
keywords	model predictive control, reinforcement learning, energy performance, adaptive envelope, sensate systems
series	ACADIA
type	paper
email
last changed	2022/06/07 07:56

_id	acadia16_326
id	acadia16_326
authors	Wit, Andrew; Ng, Rashida; Zhang, Cheng; Kim Simon
year	2016
title	Composite Systems for Lightweight Architectures: Case studies in large-scale CFRP winding
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 326-331
doi	https://doi.org/10.52842/conf.acadia.2016.326
summary	The introduction of lightweight Carbon Fiber Reinforced Polymer (CFRP) based systems into the discipline of architecture and design has created new opportunities for form, fabrication methodologies and material efficiencies that were previously difficult if not impossible to achieve through the utilization of traditional standardized building materials. No longer constrained by predefined material shapes, nominal dimensions, and conventional construction techniques, individual building components or entire structures can now be fabricated from a single continuous material through a means that best accomplishes the desired formal and structural objectives while creating minimal amounts of construction waste and disposable formwork. This paper investigates the design, fabrication and structural potentials of wound, pre-impregnated CFRP composites in architectural-scale applications through the lens of numeric and craft based composite winding implemented in two unique research projects (rolyPOLY + Cloud Magnet). Fitting into the larger research agenda for the CFRP-based robotic housing prototype currently underway in the “One Day House” initiative, these two projects also function as a proof of concept for CFRP monocoque and gridshell based structural systems. Through a rigorous investigation of these case studies, this paper strives to answer several questions about the integration of pre-impregnated CFRP in future full-scale interventions: What form-finding methodologies lend themselves to working with CFRP? What are the advantages and disadvantages of working with pre-impregnated CFRP tow in large-scale applications? What are efficient methods for the placement of CFRP fiber on-site? As well as how scalable is CFRP?
keywords	form finding, winding, cfrp, embedded responsiveness
series	ACADIA
type	paper
email
last changed	2022/06/07 07:57

_id	sigradi2016_801
id	sigradi2016_801
authors	Matson, Carrie Wendt; Sweet, Kevin
year	2016
title	Simplified for Resilience: A parametric investigation into a bespoke joint system for bamboo
source	SIGraDi 2016 [Proceedings of the 20th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-7051-86-1] Argentina, Buenos Aires 9 - 11 November 2016, pp.405-411
summary	Research reveals that most of the structural failures in a natural disaster are related to improper construction assembly methodologies related to human errors. This paper aims to reduce human errors in the building process by taking advantage of computational tools, and using a renewable building material. The research investigates the creation of a novel structural system for bamboo that is able to be repaired, replaced, altered, and easily assembled to restore any damaged building structure. Bamboo is an organic product with diameters that are irregular and unpredictable. The inconsistency in this natural product requires an adaptable construction methodology that responds to its organic nature. A customised joint system is created using parametric software that quickly adapts to the irregularity of the bamboo and are then fabricated using additive printing techniques. The parametric software gives unlimited control of the joint system based on the programmed relationships between the differentiations of each unique bamboo connection. Fabricating each unique joint gives a secure connection at each intersection facilitating an adaptable architecture, whilst reducing construction waste. This paper introduces the groundwork for the implementation of “on-site” manufacturing of a framework joint system. The manufacturing utilises the power and performance of a parametric platform with the technology of bespoke three-dimensionally printed joints – a flexible system that can respond to organic materials and natural external conditions
keywords	Parametric design; Three-dimensional printing; Bamboo construction
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	acadia16_432
id	acadia16_432
authors	Beaman, Michael Leighton
year	2016
title	Landscapes After The Bifurcation of Nature: Models for Speculative Landformations
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 432-439
doi	https://doi.org/10.52842/conf.acadia.2016.432
summary	Landformations have not historically been the purview of design production or intervention. Whether it is the spatial extensions in which they emerge, the temporal extensions in which they operate, the complexities of their generative and sustaining processes, or a cultural and institutional deference to a notion of natural processes, designers as individuals or design as a discipline has not treated landformation as an area of design inquiry. But the inability to grasp nature fully has not stopped geological-scale manipulation by humans. In fact, anthropogenic activity is responsible for the re-formation of more of the Earth’s surface than all other agents combined. And yet as designers we often disregard this transformation as a design problem, precisely because it eludes the artifices of information visualization employed by designers. This paper examines ongoing research into the generation of speculative landformations through an analysis of underlying geological and anthropogenic processes as the quantitative basis for creating generative computational models (figure 1). The Speculative Landformations Project posits human geological-scale activity as a design problem by expanding the operability and agency of environmental design practice through hybrid human/digital computations.
keywords	design decision-making, simulation and design optimization, responsive urban and landscape systems, big data
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_id	acadia16_24
id	acadia16_24
authors	Savov, Anton; Buckton, Ben; Tessmann, Oliver
year	2016
title	20,000 Blocks: Can gameplay be used to guide non-expert groups in creating architecture?
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 24-33
doi	https://doi.org/10.52842/conf.acadia.2016.024
summary	The paper follows research in engaging groups of non-trained individuals in the creation of architectural designs using games and crowdsourcing for human-directed problem-solving. With the proposed method, architectural experts can encode their design knowledge into custom-developed multiplayer gameplay in Minecraft. Non-expert players then are constrained by this gameplay which guides them to create unique architectural results. We describe a method with three components: guiding rules, verification routines and fast feedback. The method employs a real-time link between the game and structural analysis in Grasshopper to verify the designs. To prove the viability of these results, we use robotic fabrication, where the digital results are brought to reality at scale. A major finding of the work is the suite of tools for calibrating the balance of influence on the resulting designs between the Experts and the Players. We believe that this process can create designs which are not limited to parametrically optimal solutions but could also solve real-world problems in new and unexpected ways.
keywords	robot-human collaboration, digital fabrication, gaming in design, big data
series	ACADIA
type	paper
email
last changed	2022/06/07 07:57

_id	acadia16_424
id	acadia16_424
authors	Twose, Simon; du Chatenier, Rosa
year	2016
title	Experimental Material Research - Digital Chocolate
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 424-431
doi	https://doi.org/10.52842/conf.acadia.2016.424
summary	This research investigates the aesthetics of a shared agency between humans, computation and physical material. ‘Chocolate’ is manipulated in physical and virtual space simultaneously to extract aesthetic conditions that are a sum of human and non-human relations. This is an attempt to further the knowledge of designing, giving physical and digital materials force in determining their own aesthetics. The research springs from work in speculative aesthetics, particularly N. Katherine Hayles’s OOI (object-oriented inquiry) and Graham Harman’s OOO (object-oriented ontology) and explores how these ideas impact contemporary computational architectural design. To study this, a simple material has been chosen, chocolate, and used as a vehicle to investigate the dynamics of physical and digital materials and their shared/differing ‘resistances to human manipulation’ (Pickering 1995). Digital chocolate is ‘melted’ through virtual heat, and the results printed and cast in real chocolate, to be further manipulated in real space. The resistances and feedback of physical and digital chocolate to human ‘prodding’ (Hayles 2014) are analyzed in terms of a material’s qualities and tendencies in digital space versus those in physical space. Observations from this process are used to speculate on an aesthetics where humans, computation and physical material are mutually agential. This research is a pilot for a larger study taking on more complex conditions, such as building and cities, with a view to broadening how aesthetics is understood in architectural design. The contribution of this research to the field of architectural computation is thus in areas of aesthetic speculation and human/non-human architectural authorship.
keywords	object-oriented inquiry, speculative aesthetics, mutual agency, big data
series	ACADIA
type	paper
email
last changed	2022/06/07 07:58

_id	sigradi2016_448
id	sigradi2016_448
authors	Afsari, Kereshmeh; Eastman, Charles M.; Shelden, Dennis R.
year	2016
title	Data Transmission Opportunities for Collaborative Cloud-Based Building Information Modeling
source	SIGraDi 2016 [Proceedings of the 20th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-7051-86-1] Argentina, Buenos Aires 9 - 11 November 2016, pp.907-913
summary	Collaboration within Building Information Modeling process is mainly based on file transfer while BIM data being exchanged in either vendor specific file formats or neutral format using Industry Foundation Classes (IFC). However, since the Web enables Cloud-based BIM services, it provides an opportunity to exchange data via Web transfer services. Therefore, the main objective of this paper is to investigate what features of Cloud interoperability can assist a network-based BIM data transmission for a collaborative work flow in the Architecture, Construction, and Engineering (AEC) industry. This study indicates that Cloud-BIM interoperability needs to deploy major components such as APIs, data transfer protocols, data formats, and standardization to redefine BIM data flow in the Cloud and to reshape the collaboration process.
keywords	BIM; Cloud Computing; Data Transmission; Interoperability; IFC
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	acadia16_54
id	acadia16_54
authors	Andreen, David; Jenning, Petra; Napp, Nils; Petersen, Kirstin
year	2016
title	Emergent Structures Assembled by Large Swarms of Simple Robots
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 54-61
doi	https://doi.org/10.52842/conf.acadia.2016.054
summary	Traditional architecture relies on construction processes that require careful planning and strictly defined outcomes at every stage; yet in nature, millions of relatively simple social insects collectively build large complex nests without any global coordination or blueprint. Here, we present a testbed designed to explore how emergent structures can be assembled using swarms of active robots manipulating passive building blocks in two dimensions. The robot swarm is based on the toy “bristlebot”; a simple vibrating motor mounted on top of bristles to propel the body forward. Since shape largely determines the details of physical interactions, the robot behavior is altered by carefully designing its geometry instead of uploading a digital program. Through this mechanical programming, we plan to investigate how to tune emergent structural properties such as the size and temporal stability of assemblies. Alongside a physical testbed with 200 robots, this work involves comprehensive simulation and analysis tools. This simple, reliable platform will help provide better insight on how to coordinate large swarms of robots to construct functional structures.
keywords	emergent structures, mechanical intelligence, swarm robotics
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_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
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
doi	https://doi.org/10.52842/conf.ecaade.2021.2.351
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	acadia16_164
id	acadia16_164
authors	Braumann, Johannes; Stumm, Sven; Brell-Cokcan, Sigrid
year	2016
title	Towards New Robotic Design Tools: Using Collaborative Robots within the Creative Industry
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 164-173
doi	https://doi.org/10.52842/conf.acadia.2016.164
summary	This research documents our initial experiences of using a new type of collaborative, industrial robot in the area of architecture, design, and construction. The KUKA LBR-iiwa differs from common robotic configurations in that it uses seven axes with integrated force-torque sensors and can be programmed in the Java programming language. Its force-sensitivity makes it safe to interact with, but also enables entirely new applications that use hand-guiding and utilize the force-sensors to compensate for high tolerances on building sites, similar to how we manually approach assembly tasks. Especially for the creative industry, the Java programming opens up completely new applications that would have previously required complex bus systems or industrial data interfaces. We will present a series of realized projects that showcase some of the potential of this new type of collaborative, safe robot, and discuss the advantages and limitations of the robotic system.
keywords	material tolerances, individualized production, iiwa, assembly, visual robot programming, collaborative robots
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_id	acadia16_106
id	acadia16_106
authors	Das, Subhajit; Day, Colin; Hauck, John; Haymaker, John; Davis, Diana
year	2016
title	Space Plan Generator: Rapid Generationn & Evaluation of Floor Plan Design Options to Inform Decision Making
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 106-115
doi	https://doi.org/10.52842/conf.acadia.2016.106
summary	Design exploration in architectural space planning is often constrained by tight deadlines and a need to apply necessary expertise at the right time. We hypothesize that a system that can computationally generate vast numbers of design options, respect project constraints, and analyze for client goals, can assist the design team and client to make better decisions. This paper explains a research venture built from insights into space planning from senior planners, architects, and experts in the field, coupled with algorithms for evolutionary systems and computational geometry, to develop an automated computational framework that enables rapid generation and analysis of space plan layouts. The system described below automatically generates hundreds of design options from inputs typically provided by an architect, including a site outline and program document with desired spaces, areas, quantities, and adjacencies to be satisfied. We envision that this workflow can clarify project goals early in the design process, save time, enable better resource allocation, and assist key stakeholders to make informed decisions and deliver better designs. Further, the system is tested on a case study healthcare design project with set goals and objectives.
keywords	healthcare spaces, facility layout design, design optimization, decision making, binary data tree structure, generative design, automated space plans
series	ACADIA
type	paper
email
last changed	2022/06/07 07:55

_id	acadia16_116
id	acadia16_116
authors	Davis, Daniel
year	2016
title	Evaluating Buildings with Computation and Machine Learning
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 116-123
doi	https://doi.org/10.52842/conf.acadia.2016.116
summary	Although computers have significantly impacted the way we design buildings, they have yet to meaningfully impact the way we evaluate buildings. In this paper we detail two case studies where computation and machine learning were used to analyze data produced by building inhabitants. We find that a building’s ‘data exhaust’ provides a rich source of information for longitudinally analyzing people’s architectural preferences. We argue that computation-driven evaluation could supplement traditional post occupancy evaluations.
keywords	spatial analytics, machine learning, post occupancy evaluation
series	ACADIA
type	paper
email
last changed	2022/06/07 07:55

_id	acadia16_206
id	acadia16_206
authors	Devadass, Pradeep; Dailami, Farid; Mollica, Zachary; Self, Martin
year	2016
title	Robotic Fabrication of Non-Standard Material
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp
doi	https://doi.org/10.52842/conf.acadia.2016.x.g4f
summary	This paper illustrates a fabrication methodology through which the inherent form of large non-linear timber components was exploited in the Wood Chip Barn project by the students of Design + Make at the Architectural Association’s Hooke Park campus. Twenty distinct Y-shaped forks are employed with minimal machining in the construction of a structural truss for the building. Through this workflow, low-value branched sections of trees are transformed into complex and valuable building components using non-standard technologies. Computational techniques, including parametric algorithms and robotic fabrication methods, were used for execution of the project. The paper addresses the various challenges encountered while processing irregular material, as well as limitations of the robotic tools. Custom algorithms, codes, and post-processors were developed and integrated with existing software packages to compensate for drawbacks of industrial and parametric platforms. The project demonstrates and proves a new methodology for working with complex, large geometries which still results in a low cost, time- and quality-efficient process.
keywords	parametric design, craft in digital communication, digital fabrication, sensate systems
series	ACADIA
type	paper
email
last changed	2022/06/07 07:49

_id	acadia16_450
id	acadia16_450
authors	Estevez, Alberto T.
year	2016
title	Towards Genetic Posthuman Frontiers in Architecture & Design
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 450-459
doi	https://doi.org/10.52842/conf.acadia.2016.450
summary	This paper includes a brief history about the beginning of the practical application of real genetics to architecture and design. Genetics introduces a privileged point-of-view for both biology and the digital realm, and these two are the main characters (the protagonists) in our posthuman society. With all of its positive and negative aspects, the study of genetics is becoming the cornerstone of our posthuman future precisely because it is at the intersection of both fields, nature and computation, and because it is a science that can command both of them from within—one practically and the other one theoretically. Meanwhile, through genetics and biodigital architecture and design, we are searching at the frontiers of knowledge for planetary benefit. In order to enlighten us about these issues, the hero image (Figure 1) has been created within the framework of scanning electron microscope (SEM) research on the genesic level, where masses of cells organize themselves into primigenic structures. Microscope study was carried out at the same time as the aforementioned genetic research in order to find structures and to learn typologies that could be of interest for architecture, here illustrated as an alternative landscape of the future. Behind this hero image is the laboratory’s first effort to begin the real application of genetics to architecture, thereby fighti hti ng for the sustainability of our entire planet and a better world
keywords	performance in design, material agency, biomimetics and biological design, embedded responsiveness
series	ACADIA
type	paper
email
last changed	2022/06/07 07:52

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