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_610
id	acadia17_610
authors	Thariyan, Elizabeth; Beorkrem, Christopher; Ellinger, Jefferson
year	2017
title	Buildable Performance Envelopes: Optimizing Sustainable Design in a Pre-Design Phase
doi	https://doi.org/10.52842/conf.acadia.2017.610
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. 610- 619
summary	The growing consciousness regarding ecologically conscious architecture mandates a deeper understanding of the strategies that may be adopted by designers towards achieving this goal. With the advent of building information modelling (BIM) and the associated paradigm shift in the design process, it has become increasingly possible to make informed decisions earlier on in the design process. Despite this advancement, the architectural realm continues to lack computational resources that are capable of providing formal guidelines, through a generative process, that serve as a starting point for sustainable design. Towards overcoming this limitation, this paper will describe a computational tool that generates buildable performance envelopes in response to aspects of a site that are influential in designing sustainably: climate and context. These envelopes are created in a generative manner through the utilization of a voxel (three-dimensional pixel) matrix, which continually updates itself based on formal elements created by the user. Facilitating the process of making ecologically conscious design decisions at the earliest stages of design, which is the primary goal of this tool, more substantially increases the achieved energy optimization. Illustrative building designs presented in the paper resulting from the testing of this tool in contrasting climate zones, such as Miami, Florida (ASHRAE Zone 01) and Aspen, Colorado (ASHRAE Zone 07), confirms the assertion that the performance envelopes generated with this tool serve only as a guideline for optimized sustainable design, and not as the final form of the building itself.
keywords	design methods; information processing; BIM; simulation & optimization; form finding
series	ACADIA
email
last changed	2022/06/07 07:58

_id	acadia17_630
id	acadia17_630
authors	Vasanthakumar, Saeran; Saha, Nirvik; Haymaker, John; Shelden, Dennis
year	2017
title	Bibil: A Performance-Based Framework to Determine Built Form Guidelines
doi	https://doi.org/10.52842/conf.acadia.2017.630
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. 630- 639
summary	City built-form guidelines act as durable constraints on building design decisions. Such guidelines directly impact energy, comfort and other performance conditions. Existing urban design and planning methods only consider a narrow range of potential design scenarios, with rudimentary performance criteria, resulting in suboptimal urban designs. Bibil is a software plugin for the Rhinoceros3D/Grasshopper3D CAD modeler that addresses this gap through the synthesis of design space exploration methods to help design teams optimize guidelines for environmental and energy performance criteria over the life cycle of the city. Bibil consists of three generative and data management modules. The first module simulates development scenarios from street and block information through time, the second designs appropriate architectural typology, and the third abstracts the typologies into a lightweight analysis model for detailed thermal load and energy simulation. State-of-the-art performance simulation is done via the Ladybug Analysis Tools Grasshopper3D plugin, and further bespoke analysis to explore the resulting design space is achieved with custom Python scripts.This paper first introduces relevant background for automated exploration of urban design guidelines. Then the paper surveys the state-of-the-art in design and performance simulation tools in the urban domain. Next the paper describes the beta version of the tool’s three modules and its application in a built form study to assess urban canyon performance in a major North American city. Bibil enables the exploration of a broader range of potential design scenarios, for a broader range of performance criteria, over a longer period of time.
keywords	design methods; information processing; simulation & optimization; form finding; generative system
series	ACADIA
email
last changed	2022/06/07 07:58

_id	cf2017_137
id	cf2017_137
authors	Ensari, Elif; Kobas, Bilge; Sucuo?lu, Can
year	2017
title	Computational Decision Support for an Airport Complex Roof Design: A Case Study of Evolutionary Optimization for Daylight Provision and Overheating Prevention
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 137-149.
summary	This study focuses on generating geometric design alternatives for an airport roof structure with an evolutionary design method based on optimizing solar heat gain and daylight levels. The method incorporates a parametric 3D model of the building, a multi objective genetic algorithm that was linked with the model to iteratively test for various geometric solutions, a custom module that was developed to simulate solar conditions, and external energy simulation environments that was used to validate the outcomes. The integral outcome was achieved through an iterative workflow of many software tools, and the study is significant in dealing with several space typologies at the same time, taking real-life constraints such as applicability, ease of operation, construction loads into consideration, and satisfying design and aesthetic requirements of the architectural design team.
keywords	Evolutionary algorithms, daylight and energy performance, multi-objective optimization
series	CAAD Futures
email
last changed	2017/12/01 14:37

_id	acadia17_266
id	acadia17_266
authors	Gonzalez Rojas,Paloma
year	2017
title	Space and Motion: Data-Driven Model of 4D Pedestrian Behavior
doi	https://doi.org/10.52842/conf.acadia.2017.266
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. 266-273
summary	The understanding of space relies on motion, as we experience space by crossing it in time, space’s fourth dimension. However, architects lack the necessary tools to incorporate people's motion into their design of space. As a consequence, architects fail to connect space with the motion of the people that inhabit their buildings, creating disorienting environments. Further, what if augmentation technology changes how we inhabit space and the static built environment does not fit people anymore? This paper explores the problem of developing a model from people's motion, to inform and augment the architecture design process in the early stages. As an outcome, I have designed a model based on data from human-space interaction obtained through field work. First, relevant behavior was identified and recorded. Second, a metric was extracted from the data and composed by speed, the 4th D dimension as time, and gestures. Third, the original behavior was rebuilt, producing a set of rules. The rules were combined to form the model of human-space interaction. This generalizable model provides a novel approach to designing space based on data from people. Moreover, this paper presents a means of incorporating inhabitants' behavior into digital design. Finally, the model contributes to the advancement of people's motion research for general applications, such as in transport engineering, robotics, and cognitive sciences.
keywords	design methods; information processing; simulation & optimization; data visualization
series	ACADIA
email
last changed	2022/06/07 07:51

_id	ecaade2017_059
id	ecaade2017_059
authors	Narangerel, Amartuvshin, Lee, Ji-Hyun and Stouffs, Rudi
year	2017
title	Thermal and Daylighting Optimization of Complex 3D Faceted Façade for Office Building
doi	https://doi.org/10.52842/conf.ecaade.2017.1.209
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 209-218
summary	Conventional façade design and its impact on building energy as well as indoor comfort is a well-researched topic in the architecture field. This paper examines the potential of a complex 3D shaped building envelope, elaborating on previous work by implementing energy simulation within the building façade optimization process. The multi-objective optimizations are conducted considering total thermal energy, electricity generation through BIPV, and daylighting in generic single person office rooms under meteorological data of Korea and Singapore. The performance of the non-dominants is analyzed and the results show an improvement in all objectives comparing with the preliminary study.
keywords	Parametric facade design; muli-objective optimization; energy optimization; daylighting; form finding
series	eCAADe
email
last changed	2022/06/07 07:58

_id	caadria2017_124
id	caadria2017_124
authors	Wortmann, Thomas
year	2017
title	Opossum - Introducing and Evaluating a Model-based Optimization Tool for Grasshopper
doi	https://doi.org/10.52842/conf.caadria.2017.283
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 283-292
summary	This paper presents Opossum, a new optimization plug-in for Grasshopper, a visual data-flow modelling software popular among architects. Opossum is the first publicly available, model-based optimization tool aimed at architectural design optimization and especially applicable to problems that involve time-intensive simulations of for example day-lighting and building energy. The paper details Opossum's design and implementation and compares its performance to four single-objective and one multi-objective solver. The test problem is time-intensive and simulation-based: optimizing a screened façade for daylight and glare. Opossum outperforms the other single-objective solvers and finds the most accurate approximation of the Pareto front.
keywords	Design Tool; Architectural Design Optimization; Model-based Optimization; Sustainable Design
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	acadia17_640
id	acadia17_640
authors	Yousif, Shermeen; Yan, Dr. Wei; Culp, Dr. Charles
year	2017
title	Incorporating Form Diversity into Architectural Design Optimization
doi	https://doi.org/10.52842/conf.acadia.2017.640
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. 640- 649
summary	In this study, we introduce a new approach that incorporates form diversity into architectural design optimization, which will potentially accommodate designers' aesthetic judgment into the whole building optimization process. Form diversity is defined here as the level of difference in building geometric forms. We developed a form comparison algorithm to lead to a reasonable number of optimal design solutions of highly diverse forms. This allows for a post-optimization articulation of preferred solutions, and helps satisfy the aesthetic criterion in parallel to the measurable objectives. The methodology involves experimenting and prototyping. Experiments were done at different progress levels of the optimization tasks to test the feasibility of the system’s framework. A prototype framework was developed using parametric modeling, energy simulation, daylight simulation, Pareto optimization, and Multi-Objective Genetic Algorithms. The initial results demonstrate that the system has the capability to successfully work as desired with possible improvements. Comparison of results before and after shape comparison is discussed.
keywords	design methods; information processing; simulation; optimization; form finding; generative system
series	ACADIA
email
last changed	2022/06/07 07:57

_id	caadria2017_109
id	caadria2017_109
authors	Imanishi, Naoki, Hinoki, Shinichiro, Muraoka, Mizuki, Tateyama, Ran, Abe, U-ichi, Kensuke, Hotta and Ikeda, Yasushi
year	2017
title	Bamboo Concrete Shells - An Adaptable Construction Method Using Onsite Materials in a Remote Location
doi	https://doi.org/10.52842/conf.caadria.2017.445
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 445-455
summary	This paper proposes an on site construction support system using digital techniques to solve the issue of logistical inconvenience on remote islands, where industrialized construction methods are absent. Transporting heavy machinery is costly and difficult in isolated rural areas. In addition, introducing materials from outside creates a heavy ecological footprint when building. Locally produced construction materials resolve many of these issues. To test the potential of building within these constraints a case study site on an isolated island of Japan, named Kuchinoerabu, was chosen. A concrete shell structure was created using locally sourced bamboo as reinforcement. Through the study, several technical issues are revealed. Significantly, there is broad variation in the material properties of bamboo, and reducing errors when using unskilled labor is difficult. The system nominally manages the following functions: 1) Synchronizing data between CAD and the materialized form; 2) Checking errors between the target form and the one that was actually produced; 3) Inputting material characteristics on site. 4) Making a structural analysis, and reflecting its execution during construction. These functions minimize the margin of error, and aid an unskilled labor force to work more accurately.
keywords	Bamboo; natural material; digital construction
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	caadria2020_431
id	caadria2020_431
authors	Kim, Jong Bum, Balakrishnan, Bimal and Aman, Jayedi
year	2020
title	Environmental Performance-based Community Development - A parametric simulation framework for Smart Growth development in the United States
doi	https://doi.org/10.52842/conf.caadria.2020.1.873
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 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 873-882
summary	Smart Growth is an urban design movement initiated by Environmental Protection Agency (EPA) in the United States (Smart Growth America, 2019). The regulations of Smart Growth control urban morphologies such as building height, use, position, section configurations, faÃ§ade configurations, and materials, which have an explicit association with energy performances. This research aims to analyze and visualize the impact of Smart Growth developments on environmental performances. This paper presents a parametric modeling and simulation framework for Smart Growth developments that can model the potential community development scenarios, simulate the environmental footprints of each parcel, and visualize the results of modeling and simulation. We implemented and examined the proposed framework through a case study of two Smart Growth regulations: Columbia Unified Development Code (UDC) in Missouri (City of Columbia Missouri, 2017) and Overland Park Downtown Form-based Code (FBC) in Kansas City (City of Overland Park, 2017, 2019). Last, we discuss the implementation results, the limitations of the proposed framework, and the future work. We anticipate that the proposed method can improve stakeholders' understanding of how Smart Growth developments are associated with potential environmental footprints from an expeditious and thorough exploration of what-if scenarios of the multiple development schemes.
keywords	Smart Growth; Building Information Modeling (BIM); Parametric Simulation; Solar Radiation
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2017_085
id	caadria2017_085
authors	Lee, Yong-Ju, Kim, Mi-Kyoung and Jun, Han-Jong
year	2017
title	Green Standard for Energy and Environmental Design - The Development of an Assessment System Based on a Green BIM Template
doi	https://doi.org/10.52842/conf.caadria.2017.623
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 623-632
summary	To construct a building that meets the requirements of certification in terms of environmental friendliness, there must be a process that considers the certification criteria from the initial design phase. However, there are numerous complicated task performance procedures to analyse many required items in detail as well as perceive and apply the data requirements efficiently. Currently, Building Information Modeling (BIM) is gaining attention as a solution for environmental problems in architecture. BIM shows precisely how a virtual building is modelled in the real world, thereby providing an objective information and analysis through a simulation. However, the result values of BIM library or modelling may turn out differently as a result of the work environment of designers or users that is not standardized. Therefore, this study applies the modelled and extracted BIM data using the template and library established in the BIM add-in planning and design phase to review in advance the Green Standard for Energy and Environmental Design (G-SEED) assessment by item and manual input of users with the BIM-based (add-in) G-SEED assessment system, thereby providing support to enable users to establish specific strategies in designing green buildings.
keywords	GBT; G-SEED; BIM System; BIM Add-in; Apartment
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	acadia17_52
id	acadia17_52
authors	Ajlouni, Rima
year	2017
title	Simulation of Sound Diffusion Patterns of Fractal-Based Surface Profiles
doi	https://doi.org/10.52842/conf.acadia.2017.052
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. 52-61
summary	Acoustical design is one of the most challenging aspects of architecture. A complex system of competing influences (e.g., space geometry, size, proportion, material properties, surface detail, etc.) contribute to shaping the quality of the auditory experience. In particular, architectural surfaces affect the way that sound reflections propagate through space. By diffusing the reflected sound energy, surface designs can promote a more homogeneous auditory atmosphere by mitigating sharp and focused reflections. One of the challenges with designing an effective diffuser is the need to respond to a wide band of sound wavelengths, which requires the surface profile to precisely encode a range of detail sizes, depths and angles. Most of the available sound diffusers are designed to respond to a narrow band of frequencies. In this context, fractal-based surface designs can provide a unique opportunity for mitigating such limitations. A key principle of fractal geometry is its multilevel hierarchical order, which enables the same pattern to occur at different scales. This characteristic makes it a potential candidate for diffusing a wider band of sound wavelengths. However, predicting the reflection patterns of complicated fractal-based surface designs can be challenging using available acoustical software. These tools are often costly, complicated and are not designed for predicting early sound propagation paths. This research argues that writing customized algorithms provides a valuable, free and efficient alternative for addressing targeted acoustical design problems. The paper presents a methodology for designing and testing a customized algorithm for predicting sound diffusion patterns of fractal-based surfaces. Both quantitative and qualitative approaches were used to develop the code and evaluate the results.
keywords	design methods; information processing; simulation & optimization; data visualization
series	ACADIA
email
last changed	2022/06/07 07:54

_id	acadia17_154
id	acadia17_154
authors	Brown, Nathan; Mueller, Caitlin
year	2017
title	Designing With Data: Moving Beyond The Design Space Catalog
doi	https://doi.org/10.52842/conf.acadia.2017.154
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. 154-163
summary	Design space catalogs, which present a collection of different options for selection by human designers, have become commonplace in architecture. Increasingly, these catalogs are rapidly generated using parametric models and informed by simulations that describe energy usage, structural efficiency, daylight availability, views, acoustic properties, and other aspects of building performance. However, by conceiving of computational methods as a means for fostering interactive, collaborative, guided, expert-dependent design processes, many opportunities remain to improve upon the originally static archetype of the design space catalog. This paper presents developments in the areas of interaction, automation, simplification, and visualization that seek to improve on the current catalog model while also describing a vision for effective computer-aided, performance-based design processes in the future.
keywords	design methods; information processing; simulation & optimization; data visualization
series	ACADIA
email
last changed	2022/06/07 07:54

_id	acadia17_212
id	acadia17_212
authors	De Luca, Francesco
year	2017
title	Solar Form Finding: Subtractive Solar Envelope and Integrated Solar Collection Computational Method for High-Rise Buildings in Urban Environments
doi	https://doi.org/10.52842/conf.acadia.2017.212
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. 212-221
summary	Daylight standards contribute significantly to the form of buildings and the urban environment. Direct solar access of existing and new buildings can be considered through the use of solar envelope and solar collection isosurface methods. The first determines the maximum volume and shape that new buildings cannot exceed to guarantee the required solar rights on existing surrounding facades. The latter predicts the portion of facades of new buildings that will receive the required direct sunlight hours in urban environments. Nowadays, environmental design software based on the existing methods permits the generation of solar envelopes and solar collection isosurfaces to use in the schematic design phase. Nevertheless, the existing methods and software present significant limitations when used to design buildings that must fulfil the Estonian daylight standard. Recent research has successfully developed computational workflows based on the existing methods and available tools to tackle such shortcomings. The present work uses the findings to propose a novel computational method to generate solar envelopes and integrate solar collection analysis. It is a subtractive form-finding method that is more efficient than the existing additive methods and other recent workflows when it is applied to high-rise buildings in fragmented urban environments. The tests performed show that the new method permits the realisation of compliant and larger solar envelopes, which furthermore embed formal properties. The objective of the research is to contribute to the development of computational methods and tools to integrate direct solar access performance efficiently into the design process.
keywords	design methods; information processing; simulation & optimization; form finding
series	ACADIA
email
last changed	2022/06/07 07:55

_id	cf2017_180
id	cf2017_180
authors	Jun, Ji Won; Silverio, Matteo; Llubia, Josep Alcover; Markopoulou, Areti; Chronis; Angelos; Dubor, Alexandre
year	2017
title	Remembrane: A Shape Changing Adaptive Structure
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 180-198.
summary	This paper presents a research on adaptive kinetic structures using shape memory alloys as actuators. The target of the research is designing and building an efficient kinetic structural system that could be potentially applied at an architectural scale. The project is based on the study of tensegrity and pantograph structures as a starting point to develop multiple digital and physical models of different structural systems that can be controllably moved. The result of this design process is a performative prototype that is controllable through a web-based interface. The main contribution of this project is not any of the presented parts by themselves but the integration of all of them in the creation of a new adaptive system that allows us to envision a novel way of designing, building and experiencing architecture in a dynamic and efficient way.
keywords	Responsive Structures, Kinetic Structures, Adaptive Systems, User Interaction, Structural Optimization
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	ecaade2017_087
id	ecaade2017_087
authors	Marijnissen, Marjolein P.A.M. and van der Zee, Aant
year	2017
title	3D Concrete Printing in Architecture - A research on the potential benefits of 3D Concrete Printing in Architecture
doi	https://doi.org/10.52842/conf.ecaade.2017.2.299
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 299-308
summary	This research explores the use of large-scale 3D Printing techniques in architecture and structural design. First we will analyse the various methods in large-scale 3D printing in order to choose the method with the most potential to be used to build large-scale residential buildings in the Netherlands. Then we will investigate the properties of this 3D printing technique to determine the new building process, related to building with a 3D Concrete Printer. The freedom in movement of the printer and the properties of the concrete mixture used to print will form the guidelines in the creation of a design language in which both material costs and labour costs are reduced to a minimum. The design language is later applied on the design of a house, which shows the impact 3D Concrete Printing should have on the current boundaries in architecture and structural design.
keywords	Additive Manufacturing; 3D Concrete Printing; Structural Optimization; Personalization
series	eCAADe
email
last changed	2022/06/07 07:59

_id	acadia17_382
id	acadia17_382
authors	Melenbrink, Nathan; Kassabian, Paul; Menges, Achim; Werfel, Justin
year	2017
title	Towards Force-aware Robot Collectives for On-site Construction
doi	https://doi.org/10.52842/conf.acadia.2017.382
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. 382- 391
summary	Due to the irregular and variable environments in which most construction projects take place, the topic of on-site automation has previously been largely neglected in favor of off-site prefabrication. While prefabrication has certain obvious economic and schedule benefits, a number of potential applications would benefit from a fully autonomous robotic construction system capable of building without human supervision or intervention; for example, building in remote environments, or building structures whose form changes over time. Previous work using a swarm approach to robotic assembly generally neglected to consider forces acting on the structure, which is necessary to guarantee against failure during construction. In this paper we report on key findings for how distributed climbing robots can use local force measurements to assess aspects of global structural state. We then chart out a broader trajectory for the affordances of distributed on-site construction in the built environment and position our contributions within this research agenda. The principles explored in simulation are demonstrated in hardware, including solutions for force-sensing as well as a climbing robot.
keywords	material and construction; physics; construction/robotics; simulation & optimization
series	ACADIA
email
last changed	2022/06/07 07:58

_id	ecaade2017_269
id	ecaade2017_269
authors	Rahmani Asl, Mohammad, Das, Subhajit, Tsai, Barry, Molloy, Ian and Hauck, Anthony
year	2017
title	Energy Model Machine (EMM) - Instant Building Energy Prediction using Machine Learning
doi	https://doi.org/10.52842/conf.ecaade.2017.2.277
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 277-286
summary	In the process of building design, energy performance is often simulated using physical principles of thermodynamics and energy behaviour using elaborate simulation tools. However, energy simulation is computationally expensive and time consuming process. These drawbacks limit opportunities for design space exploration and prevent interactive design which results in environmentally inefficient buildings. In this paper we propose Energy Model Machine (EMM) as a general and flexible approximation model for instant energy performance prediction using machine learning (ML) algorithms to facilitate design space exploration in building design process. EMM can easily be added to design tools and provide instant feedback for real-time design iterations. To demonstrate its applicability, EMM is used to estimate energy performance of a medium size office building during the design space exploration in widely used parametrically design tool as a case study. The results of this study support the feasibility of using machine learning approaches to estimate energy performance for design exploration and optimization workflows to achieve high performance buildings.
keywords	Machine Learning; Artificial Neural Networks; Boosted Decision Tree; Building Energy Performance; Parametric Modeling and Design; Building Performance Optimization
series	eCAADe
email
last changed	2022/06/07 08:00

_id	acadia17_620
id	acadia17_620
authors	Tsigkari, Martha; Olsson, Jens; Malm, Henrik; Psarras, Stamatios; Aish, Francis
year	2017
title	The Computational Challenges of a Mega Space Frame: Shaping the Envelope of New Mexico City Airport
doi	https://doi.org/10.52842/conf.acadia.2017.620
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. 620- 629
summary	The modeling of the envelope and space frame for the new Mexico City Airport was a massive computational task, demanding the development of numerous new methods, tools and processes to deal with its complexity and scale. The shape of the envelope was created through form finding, leading to an all-encompassing lightweight shell with internal spans reaching 130 m. This paper will discuss the challenges faced and the methods used to develop a visually continuous and smooth space-frame model and envelope, while simultaneously complying with very strict spatial and programmatic constraints and structural optimisation criteria. It will further explain how dynamic relaxation was complemented with bespoke mechanisms for mesh manipulation, interfacing and mesh smoothing to fine-tune the final form.
keywords	design methods; information processing; simulation & optimization; generative system; form finding
series	ACADIA
email
last changed	2022/06/07 07:57

_id	sigradi2022_51
id	sigradi2022_51
authors	Varsami, Constantina; Tsamis, Alexandros; Logan, Timothy
year	2022
title	Gaming Engine as a Tool for Designing Smart, Interactive, Light-Sculpting Systems
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 617–628
summary	Even though interactive (Offermans et.al., 2013), adaptive (Viani et.al., 2017), and self-optimizable (Sun et.al., 2020) lighting systems are becoming readily available, designing system automations, and evaluating their impact on user experience significantly challenges designers. In this paper we demonstrate the use of a gaming engine as a platform for designing, simulating, and evaluating autonomous smart lighting behaviors. We establish the Human - Lighting System Interaction Framework, a computational framework for developing a Light Sculpting Engine and for designing occupant-system interactions. Our results include a. a method for combining in real-time lighting IES profiles into a single ‘combined’ profile - b. algorithms that optimize in real-time, lighting configurations - c. direct glare elimination algorithms, and d. system energy use optimization algorithms. Overall, the evolution from designing static building components to designing interactive systems necessitates the reconsideration of methods and tools that allow user experience and system performance to be tuned by design.
keywords	User Experience, Human-Building Interaction, Smart Lighting, Lighting Simulation, Gaming Engine
series	SIGraDi
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last changed	2023/05/16 16:56

_id	ijac201715205
id	ijac201715205
authors	Wang, Tsung-Hsien; Olivia Espinosa Trujillo, Wen-Shao Chang and Bailin Deng
year	2017
title	Encoding bamboo’s nature for freeform structure design
source	International Journal of Architectural Computing vol. 15 - no. 2, 169-182
summary	Bamboo is a construction material that is renewable, environmentally friendly and widely available. It has long been used in various projects, ranging from temporary, easily assembled and rectilinear structures to complex freeform pavilions. Design with bamboo has never been easy to architects and engineers due to its irregular shape and round section. This prompts the need to develop a new design process that can accommodate those properties that hinder bamboo to be used by designers. In this article, we take a close look at freeform structure design and specifically demonstrate how systematically and algorithmically parametric modelling can be used to tackle bamboo material irregularities and bamboo jointing challenges. A two-stage optimization process is proposed to support a fabricable freeform structure design through encoding material properties and freeform shape optimization. The approach approximates the given freeform shape using a finite set of unique bamboo elements while maintaining the aesthetic design intention. By limiting the number of bamboo elements, it will provide insight to both designers and engineers on the efficiency and cost benefits of producing required structure elements for the final assembly.
keywords	Freeform structure design, bamboo structures, bamboo joint design, shape optimization, shape rationalization
series	other
type	normal paper
email
last changed	2019/08/02 08:31

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