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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Reformat results as: short short into frame detailed detailed into frame

_id	ecaadesigradi2019_605
id	ecaadesigradi2019_605
authors	Andrade Zandavali, Bárbara and Jiménez García, Manuel
year	2019
title	Automated Brick Pattern Generator for Robotic Assembly using Machine Learning and Images
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 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 217-226
doi	https://doi.org/10.52842/conf.ecaade.2019.3.217
summary	Brickwork is the oldest construction method still in use. Digital technologies, in turn, enabled new methods of representation and automation for bricklaying. While automation explored different approaches, representation was limited to declarative methods, as parametric filling algorithms. Alternatively, this work proposes a framework for automated brickwork using a machine learning model based on image-to-image translation (Conditional Generative Adversarial Networks). The framework consists of creating a dataset, training a model for each bond, and converting the output images into vectorial data for robotic assembly. Criteria such as: reaching wall boundary accuracy, avoidance of unsupported bricks, and brick's position accuracy were individually evaluated for each bond. The results demonstrate that the proposed framework fulfils boundary filling and respects overall bonding structural rules. Size accuracy demonstrated inferior performance for the scale tested. The association of this method with 'self-calibrating' robots could overcome this problem and be easily implemented for on-site.
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:54

_id	ecaadesigradi2019_467
id	ecaadesigradi2019_467
authors	Petrš, Jan, Dahy, Hanaa and Florián, Miloš
year	2019
title	From MoleMOD to MoleSTRING - Design of self-assembly structures actuated by shareable soft robots
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 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 179-188
doi	https://doi.org/10.52842/conf.ecaade.2019.3.179
summary	This paper proposes a self-assembling system for architectural application. It is a reaction to current building crisis and high energy consumption by building industry. This Unique system is based on a reconfiguration of passive elements by low-cost soft robots able to move inside as well as configure them into 2D/3D structures similar to recent Modular robots. A goal is to significantly reduce the high price and complexity of state of the art modular robots by minimization of mechatronic parts and using soft materials. The concept focuses on life-cycle management when one system can achieve assembly, reconfiguration, and disassembly with a minimum of waste. The paper compares three different versions of a self-assembly system called MoleMOD: MoleCUBE, MoleCHAIN, and MoleSTRING.
keywords	Self-assembly; Soft robotics; Modular robotics; Reconfigurable string; Adaptive architecture
series	eCAADeSIGraDi
email
last changed	2022/06/07 08:00

_id	ijac201917103
id	ijac201917103
authors	Bejarano, Andres; and Christoph Hoffmann
year	2019
title	A generalized framework for designing topological interlocking configurations
source	International Journal of Architectural Computing vol. 17 - no. 1, 53-73
summary	A topological interlocking configuration is an arrangement of pieces shaped in such a way that the motion of any piece is blocked by its neighbors. A variety of interlocking configurations have been proposed for convex pieces that are arranged in a planar space. Published algorithms for creating a topological interlocking configuration start from a tessellation of the plane (e.g. squares colored as a checkerboard). For each square S of one color, a plane P through each edge E is considered, tilted by a given angle ? against the tessellated plane. This induces a face F supported by P and limited by other such planes nearby. Note that E is interior to the face. By adjacency, the squares of the other color have similarly delimiting faces. This algorithm generates a topological interlocking configuration of tetrahedra or antiprisms. When checked for correctness (i.e. for no overlap), it rests on the tessellation to be of squares. If the tessellation consists of rectangles, then the algorithm fails. If the tessellation is irregular, then the tilting angle is not uniform for each edge and must be determined, in the worst case, by trial and error. In this article, we propose a method for generating topological interlocking configurations in one single iteration over the tessellation or mesh using a height value and a center point type for each tile as parameters. The required angles are a function of the given height and selected center; therefore, angle choices are not required as an initial input. The configurations generated using our method are compared against the configurations generated using the angle-choice approach. The results show that the proposed method maintains the alignment of the pieces and preserves the co-planarity of the equatorial sections of the pieces. Furthermore, the proposed method opens a path of geometric analysis for topological interlocking configurations based on non-planar tessellations.
keywords	Topological interlocking, surface tessellation, irregular geometry, parametric design, convex assembly
series	journal
email
last changed	2019/08/07 14:04

_id	ecaadesigradi2019_210
id	ecaadesigradi2019_210
authors	Castriotto, Caio, Giantini, Guilherme and Celani, Gabriela
year	2019
title	Biomimetic Reciprocal Frames - A design investigation on bird's nests and spatial structures
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 1, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 613-620
doi	https://doi.org/10.52842/conf.ecaade.2019.1.613
summary	Reciprocal Frame (RF) is a constructive system typically applied with timber, since it is composed by discrete elements with short dimensions. It allows the construction of large spans and complex geometries. This kind of structure has been addressed by recent research projects that aim to produce it using computational tools and digital fabrication techniques. Moreover, the enhancement of these technologies enabled the integration of simulations of biological processes into the design process as a way to obtain better and optimal results, which is known as Biomimetics. This paper describes the development of a spatial structure that combines the principles of RF and the assembly process of natural agents, such as birds, in a digital environment. The tools used for the generation of the structure were Rhinoceros, Grasshopper and different add-ons, such as Culebra, Kangaroo, Pufferfish and Weaverbird.
keywords	Biomimetics; Reciprocal Frame; Nexorade; Computational Design; Agent-Based System
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:55

_id	ecaadesigradi2019_358
id	ecaadesigradi2019_358
authors	Cocho-Bermejo, Ana and Navarro-Mateu, Diego
year	2019
title	User-centered Responsive Sunlight Reorientation System based on Multiagent Decision-making, UDaMaS
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. 695-704
doi	https://doi.org/10.52842/conf.ecaade.2019.2.695
summary	UDaMaS (Universal Daylight Managing System), is a user-centered responsive system for built scenarios that can reorient sunlight to improve light conditions in specific urban environments.This on-going research is based on developing more efficient energy/light supply methods through IoT (internet of things) and data mining based on the improved relationship with technology.A user centered responsive multi-agent system using norm emergence is proposed for controlling the efficiency of sunlight reoriented society of mirror robots. Society of robots will make decisions about which users to serve, depending on the users' requests through the UdaMas app.
keywords	responsive; lighting; user-centric; multi-agent system; artificial intelligence; ambient intelligence
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

_id	acadia19_130
id	acadia19_130
authors	Devadass, Pradeep; Heimig, Tobias; Stumm, Sven; Kerber, Ethan; Cokcan, Sigrid Brell
year	2019
title	Robotic Constraints Informed Design Process
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. 130-139
doi	https://doi.org/10.52842/conf.acadia.2019.130
summary	Promising results in efficiently producing highly complex non-standard designs have been accomplished by integrating robotic fabrication with parametric design. However, the project workflow is hampered due to the disconnect between designer and robotic fabricator. The design is most often developed by the designer independently from fabrication process constraints. This results in fabrication difficulties or even non manufacturable components. In this paper we explore the various constraints in robotic fabrication and assembly processes, analyze their influence on design, and propose a methodology which bridges the gap between parametric design and robotic production. Within our research we investigate the workspace constraints of robots, end effectors, and workpieces used for the fabrication of an experimental architectural project: “The Twisted Arch.” This research utilizes machine learning approaches to parameterize, quantify, and analyze each constraint while optimizing how those parameters impact the design output. The research aims to offer a better planning to production process by providing continuous feedback to the designer during early stages of the design process. This leads to a well-informed “manufacturable” design.
keywords	Robotic Fabrication and Assembly, Mobile Robotics, Machine Learning, Parametric Design, Constraint Based Design.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:55

_id	caadria2019_478
id	caadria2019_478
authors	Fingrut, Adam, Crolla, Kristof and Lau, Darwin
year	2019
title	Automation Complexity - Brick By Brick
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. 93-102
doi	https://doi.org/10.52842/conf.caadria.2019.1.093
summary	This paper discusses the assembly of brick structures with a Cable Driven Parallel Robot (CDPR). Explored is the impact of using computational design tools and the deployment of robotic equipment for the creation of an expanded architectural design space, based on the limits of material and equipment in place of a skilled labor force.
keywords	Cable-Robot; Construction Automation; Digital Fabrication; Construction Complexity; Non-Standard Architecture
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	caadria2019_624
id	caadria2019_624
authors	Gupta, Sachin Sean, Jayashankar, Dhileep Kumar, Sanandiya, Naresh D, Fernandez, Javier G. and Tracy, Kenneth
year	2019
title	Prototyping of Chitosan-Based Shape-Changing Structures
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 441-450
doi	https://doi.org/10.52842/conf.caadria.2019.2.441
summary	In the built environment, the typical means of achieving responsive changes in the physical features of a structure is through energy-intensive actuation mechanisms that contradict the intended goal of energy-efficient performance. Nature offers several alternative energy-free examples of achieving large-scale shape change through passive actuation mechanisms, such as the intrinsic response of water-absorbing (hygroscopic) materials to humidity fluctuations. We utilize this principle of passive actuation in the context of chitosan biopolymer, a material demonstrating a combination of mechanical strength and hygroscopic potential that enables it to serve for both load-bearing and actuation purposes. By inserting biocomposite films of chitosan as dynamic tensile members into a space truss, a structural system is constructed whose variable structural performance is manipulated and expressed as a large-scale, programmable, and fast-acting shape change. We present a method for rationalizing this responsive structural system as an assembly using a combination of materials engineering and digital design and fabrication. As a proof-of-concept, a two-meter-long fiber-reinforced cantilevering truss prototype was designed and fabricated. The truss transforms in minutes from one shape that shelters the interior from rain to another shape that acts as an air foil to increase ventilation.
keywords	Passive Actuation; Chitosan; Structural Assembly; Digital Fabrication
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	acadia19_448
id	acadia19_448
authors	Hahm, Soomeen
year	2019
title	Augmented Craftsmanship
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. 448-457
doi	https://doi.org/10.52842/conf.acadia.2019.448
summary	Over the past decade, we have witnessed rapid advancements on both practical and theoretical levels in regard to automated construction as a consequence of increasing sophistication of digital fabrication technologies such as robotics, 3D printing, etc. However, digital fabrication technology is often very limited when it comes to dealing with delicate and complex crafting processes. Although digital fabrication processes have become widely accessible and utilized across industries in recent times, there are still a number of fabrication techniques—which heavily rely on human labour—due to the complex nature of procedures and delicacy of materials. With this in mind, we need to ask ourselves if full automation is truly an ultimate goal, or if we need to (re)consider the role of humans in the architectural construction chain, as automation becomes more prevalent. We propose rethinking the role which human, machine, and computer have in construction— occupying the territory between purely automated, exclusively robotically-driven fabrication and highly crafted processes requiring human labour. This is to propose an alternative to reducing construction to fully automated assembly of simplified/discretized building parts, by appreciating physical properties of materials and nature of crafting processes. The research proposes a design-to-construction workflow pursued and enabled by augmented humans using AR devices. As a result, proposed workflows are tested on three prototypical inhabitable structure, aiming to be applicable to other projects in the near future, and to bridge the gap between purely automated construction processes on one hand, and craft-based, material-driven but labour-intensive processes on the other.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:51

_id	acadia19_16
id	acadia19_16
authors	Hosmer, Tyson; Tigas, Panagiotis
year	2019
title	Deep Reinforcement Learning for Autonomous Robotic Tensegrity (ART)
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. 16-29
doi	https://doi.org/10.52842/conf.acadia.2019.016
summary	The research presented in this paper is part of a larger body of emerging research into embedding autonomy in the built environment. We develop a framework for designing and implementing effective autonomous architecture defined by three key properties: situated and embodied agency, facilitated variation, and intelligence.We present a novel application of Deep Reinforcement Learning to learn adaptable behaviours related to autonomous mobility, self-structuring, self-balancing, and spatial reconfiguration. Architectural robotic prototypes are physically developed with principles of embodied agency and facilitated variation. Physical properties and degrees of freedom are applied as constraints in a simulated physics-based environment where our simulation models are trained to achieve multiple objectives in changing environments. This holistic and generalizable approach to aligning deep reinforcement learning with physically reconfigurable robotic assembly systems takes into account both computational design and physical fabrication. Autonomous Robotic Tensegrity (ART) is presented as an extended case study project for developing our methodology. Our computational design system is developed in Unity3D with simulated multi-physics and deep reinforcement learning using Unity’s ML-agents framework. Topological rules of tensegrity are applied to develop assemblies with actuated tensile members. Single units and assemblies are trained for a series of policies using reinforcement learning in single-agent and multi-agent setups. Physical robotic prototypes are built and actuated to test simulated results.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:50

_id	ecaadesigradi2019_488
id	ecaadesigradi2019_488
authors	Naboni, Roberto and Kunic, Anja
year	2019
title	A computational framework for the design and robotic manufacturing of complex wood structures
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 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 189-196
doi	https://doi.org/10.52842/conf.ecaade.2019.3.189
summary	The emerging paradigm of Industry 4.0 is rapidly expanding in the AEC sector, where emergent technologies are offering new possibilities. The use of collaborative robots is enabling processes of advanced fabrication, where humans and robots coexist and collaborate towards the co-creation of new building processes. This paper focuses on setting a conceptual framework and a computational workflow for the design and assembly of a novel type of engineered wood structures. The aim is advancing timber construction through complex tectonic configurations, which are informed by logics of robotic assembly, topology and material optimization, and combinatorial design. Starting from the conceptualization of robotic layered manufacturing for timber structures, this work presents the development of a digital twin applied to the voxel-based design of complex timber structures.
keywords	Digital Materials; Robotic Assembly; Wood structures; Voxel-based design; Topology Optimization
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:59

_id	cf2019_018
id	cf2019_018
authors	Poustinchi, Ebrahim
year	2019
title	Oriole A Parametric Solution for Animation-Based Robotic Motion Design
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 132
summary	This paper presents a project-based research study using Oriole—a custom-made plug-in for robotic motion control solutions in grasshopper 3D visual programming environment. Oriole is a parametric tool that enables users/designers to design robotic motion-paths, based on the notion of keyframing and animation. Using Oriole, designers are able to simulate—and ultimately develop robotic movements in more intuitive free-form ways. Using Rhino 3D as a digital modeling platform and Grasshopper 3D and its robotic simulation platforms for different industrial robots such as KUKA, ABB, and Universal, Oriole enables designers to create a precise interaction between the robot, its spatial “performance” and the physical environment through animation.
keywords	Robotics, Parametric Design, Human-Computer Interaction
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	ecaadesigradi2019_280
id	ecaadesigradi2019_280
authors	Rossi, Gabriella and Nicholas, Paul
year	2019
title	Haptic Learning - Towards Neural-Network-based adaptive Cobot Path-Planning for unstructured spaces
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. 201-210
doi	https://doi.org/10.52842/conf.ecaade.2019.2.201
summary	Collaborative Robots, or Cobots, bring new possibilities for human-machine interaction within the fabrication process, allowing each actor to contribute with their specific capabilities. However creative interaction brings unexpected changes, obstacles, complexities and non-linearities which are encountered in real time and cannot be predicted in advance. This paper presents an experimental methodology for robotic path planning using Machine Learning. The focus of this methodology is obstacle avoidance. A neural network is deployed, providing a relationship between the robot's pose and its surroundings, thus allowing for motion planning and obstacle avoidance, directly integrated within the design environment. The method is demonstrated through a series of case-studies. The method combines haptic teaching with machine learning to create a task specific dataset, giving the robot the ability to adapt to obstacles without being explicitly programmed at every instruction. This opens the door to shifting to robotic applications for construction in unstructured environments, where adapting to the singularities of the workspace, its occupants and activities presents an important computational hurdle today.
keywords	Architectural Robotics; Neural Networks; Path Planning; Digital Fabrication; Artificial Intelligence; Data
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

_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	acadia19_168
id	acadia19_168
authors	Adilenidou, Yota; Ahmed, Zeeshan Yunus; Freek, Bos; Colletti, Marjan
year	2019
title	Unprintable Forms
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
doi	https://doi.org/10.52842/conf.acadia.2019.168
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	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

_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	ecaadesigradi2019_290
id	ecaadesigradi2019_290
authors	Assem, Ayman, Abdelmohsen, Sherif and Ezzeldin, Mohamed
year	2019
title	A Fuzzy-Based Approach for Evaluating Existing Spatial Layout Configurations
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. 35-44
doi	https://doi.org/10.52842/conf.ecaade.2019.2.035
summary	This paper proposes a fuzzy-based approach for the automated evaluation of spatial layout configurations. Our objective is to evaluate soft and interdependent design qualities (such as connectedness, enclosure, spaciousness, continuity, adjacency, etc.), to satisfy multiple and mutually inclusive criteria, and to account for all potential and logical solutions without discarding preferable, likely or even less likely possible solutions. Using fuzzyTECH, a fuzzy logic software development tool, we devise all possible spatial relation inputs affecting physical and non-physical outputs for a given space using descriptive rule blocks. We implement this fuzzy logic system on an existing residential space to evaluate different layout alternatives. We define all linguistic input variables, output variables, and fuzzy sets, and present space-space relations using membership functions. We use the resulting database of fuzzy agents to evaluate the design of the existing residential spaces.
keywords	Fuzzy logic; Space layout planning; Heuristic methods
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:54

_id	ecaadesigradi2019_498
id	ecaadesigradi2019_498
authors	Bermek, Mehmet Sinan, Shelden, Dennis and Gentry, T. Russel
year	2019
title	A Holistic Approach to Feature-based Structural Mapping in Cross Laminated Timber Buildings
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. 789-796
doi	https://doi.org/10.52842/conf.ecaade.2019.2.789
summary	Mass Engineered Timber products provide a unique opportunity in configuring panelized building systems that are suitable for both prefabrication and onsite customization. The structural nature of these large section elements also brings about the need for a coordinated design-fabrication-assembly workflow. These products can assume different geometric configurations and their behaviour can be approximated globally by simplifying framing schemas. Current BIM Interoperability standards such as STEP or IFC already acknowledge and support the interconnected nature of component properties, yet these Data Models are component focused. Expanding on the relationships between components and using sets to define part to whole, or exteriority relationships could yield a more flexible and agile querying of building information.This would be a framework fit for automated feature derivation and rule based design applications. To this end Graph structures and Graph Databases, alongside existing ontology authoring tools are studied to probe new cognitive possibilities in collaborative AEC workflows
keywords	Graph theory; BIM; CLT; IFC
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:52

_id	ecaade2024_222
id	ecaade2024_222
authors	Bindreiter, Stefan; Sisman, Yosun; Forster, Julia
year	2024
title	Visualise Energy Saving Potentials in Settlement Development: By linking transport and energy simulation models for municipal planning
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 79–88
doi	https://doi.org/10.52842/conf.ecaade.2024.2.079
summary	To achieve Sustainable Development Goals, in addition to the switch to sustainable energy sources and energy-efficient buildings, transport offers a major lever for reducing energy consumption and greenhouse gases. The increasing demand for emission-free mobility (e.g. through electromobility) but also heat pumps has a direct impact on the electricity consumption of buildings and settlements. It is still difficult to simulate the effects and interactions of different measures as sector coupling concepts require comprehensible tools for ex ante evaluation of planning measures at the community level and the linking of domain-specific models (energy, transport). Using the municipality of Bruck an der Leitha (Austria) as an example, a digital twin based on an open data model (Bednar et al., 2020) is created for the development of methods, which can be used to simulate measures to improve the settlement structure within the municipality. Forecast models for mobility (Schmaus, 2019; Ritz, 2019) and the building stock are developed or applied and linked via the open data model to be able to run through development scenarios and variants. The forecasting and visualisation options created in the project form the basis for the ex-ante evaluation of measures and policies on the way to a Positive-Energy-District. By identifying and collecting missing data, data gaps are filled for the simulation of precise models in the specific study area. A digital, interactive 3D model is created to examine the forecast results and the different scenarios.
keywords	visualisation, decision support, sector coupling, holistic spatial energy models for municipal planning, (energy) saving potentials in settlement development
series	eCAADe
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last changed	2024/11/17 22:05

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