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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	ecaade2013_185
id	ecaade2013_185
authors	Zají_ková, Veronika and Achten, Henri
year	2013
title	Landscape Information Modeling
source	Stouffs, Rudi and Sariyildiz, Sevil (eds.), Computation and Performance – Proceedings of the 31st eCAADe Conference – Volume 2, Faculty of Architecture, Delft University of Technology, Delft, The Netherlands, 18-20 September 2013, pp. 515-523
doi	https://doi.org/10.52842/conf.ecaade.2013.2.515
wos	WOS:000340643600052
summary	In this paper we report on a recently started PhD project in which we investigate the extension of the concept of “Building Information Model” (BIM) to the domain of landscape design. The potential benefits of BIM in the field of architecture have been reported many times (e.g., Ibrahim et al., 2004; Eastman et al., 2008; Abdelmohsen et al., 2011). However, in landscape design an information model in the way of BIM seems to be missing. Benefits of a Landscape Information Model would be (a) formalisation of knowledge in landscape design; (b) information model to support multiple participants in landscape design; (c) improved information exchange between landscape design, architecture, and urban design. In this paper we set out the basic outline of the research.
keywords	BIM; landscape design; LIM.
series	eCAADe
email
last changed	2022/06/07 07:57

_id	cf2011_p109
id	cf2011_p109
authors	Abdelmohsen, Sherif; Lee Jinkook, Eastman Chuck
year	2011
title	Automated Cost Analysis of Concept Design BIM Models
source	Computer Aided Architectural Design Futures 2011 [Proceedings of the 14th International Conference on Computer Aided Architectural Design Futures / ISBN 9782874561429] Liege (Belgium) 4-8 July 2011, pp. 403-418.
summary	AUTOMATED COST ANALYSIS OF CONCEPT DESIGN BIM MODELS Interoperability: BIM models and cost models This paper introduces the automated cost analysis developed for the General Services Administration (GSA) and the analysis results of a case study involving a concept design courthouse BIM model. The purpose of this study is to investigate interoperability issues related to integrating design and analysis tools; specifically BIM models and cost models. Previous efforts to generate cost estimates from BIM models have focused on developing two necessary but disjoint processes: 1) extracting accurate quantity take off data from BIM models, and 2) manipulating cost analysis results to provide informative feedback. Some recent efforts involve developing detailed definitions, enhanced IFC-based formats and in-house standards for assemblies that encompass building models (e.g. US Corps of Engineers). Some commercial applications enhance the level of detail associated to BIM objects with assembly descriptions to produce lightweight BIM models that can be used by different applications for various purposes (e.g. Autodesk for design review, Navisworks for scheduling, Innovaya for visual estimating, etc.). This study suggests the integration of design and analysis tools by means of managing all building data in one shared repository accessible to multiple domains in the AEC industry (Eastman, 1999; Eastman et al., 2008; authors, 2010). Our approach aims at providing an integrated platform that incorporates a quantity take off extraction method from IFC models, a cost analysis model, and a comprehensive cost reporting scheme, using the Solibri Model Checker (SMC) development environment. Approach As part of the effort to improve the performance of federal buildings, GSA evaluates concept design alternatives based on their compliance with specific requirements, including cost analysis. Two basic challenges emerge in the process of automating cost analysis for BIM models: 1) At this early concept design stage, only minimal information is available to produce a reliable analysis, such as space names and areas, and building gross area, 2) design alternatives share a lot of programmatic requirements such as location, functional spaces and other data. It is thus crucial to integrate other factors that contribute to substantial cost differences such as perimeter, and exterior wall and roof areas. These are extracted from BIM models using IFC data and input through XML into the Parametric Cost Engineering System (PACES, 2010) software to generate cost analysis reports. PACES uses this limited dataset at a conceptual stage and RSMeans (2010) data to infer cost assemblies at different levels of detail. Functionalities Cost model import module The cost model import module has three main functionalities: generating the input dataset necessary for the cost model, performing a semantic mapping between building type specific names and name aggregation structures in PACES known as functional space areas (FSAs), and managing cost data external to the BIM model, such as location and construction duration. The module computes building data such as footprint, gross area, perimeter, external wall and roof area and building space areas. This data is generated through SMC in the form of an XML file and imported into PACES. Reporting module The reporting module uses the cost report generated by PACES to develop a comprehensive report in the form of an excel spreadsheet. This report consists of a systems-elemental estimate that shows the main systems of the building in terms of UniFormat categories, escalation, markups, overhead and conditions, a UniFormat Level III report, and a cost breakdown that provides a summary of material, equipment, labor and total costs. Building parameters are integrated in the report to provide insight on the variations among design alternatives.
keywords	building information modeling, interoperability, cost analysis, IFC
series	CAAD Futures
email
last changed	2012/02/11 19:21

_id	cf2011_p098
id	cf2011_p098
authors	Bernal, Marcelo; Eastman Charles
year	2011
title	Top-down Approach for Interaction of Knowledge-Based Parametric Objects and Preliminary Massing Studies for Decision Making in Early Design Stages
source	Computer Aided Architectural Design Futures 2011 [Proceedings of the 14th International Conference on Computer Aided Architectural Design Futures / ISBN 9782874561429] Liege (Belgium) 4-8 July 2011, pp. 149-164.
summary	Design activities vary from high-degree of freedom in early concept design stages to highly constrained solution spaces in late ones. Such late developments entail large amount of expertise from technical domains. Multiple parallel models handle different aspects of a project, from geometric master models to specific building components. This variety of models must keep consistency with the design intent while they are dealing with specific domains of knowledge such as architectural design, structure, HVAC, MEP, or plumbing systems. Most of the expertise embedded within the above domains can be translated into parametric objects by capturing design and engineering knowledge through parameters, constraints, or conditionals. The aim of this research is capturing such expertise into knowledge-based parametric objects (KPO) for re-usability along the design process. The proposed case study ‚Äì provided by SOM New York‚ is the interaction between a massing study of a high-rise and its building service core, which at the same time handles elevators, restrooms, emergency stairs, and space for technical systems. This project is focused on capturing design expertise, involved in the definition of a building service core, from a high-rise senior designer, and re-using this object for interaction in real-time with a preliminary massing study model of a building, which will drive the adaption process of the service core. This interaction attempts to provide an integrated design environment for feedback from technical domains to early design stages for decision-making, and generate a well-defined first building draft. The challenges addressed to drive the instantiation of the service core according to the shifting characteristics of the high-rise are automatic instantiation and adaptation of objects based on decision rules, and updating in real-time shared parameters and information derived from the high-rise massing study. The interaction between both models facilitates the process from the designer‚Äôs perspective of reusing previous design solutions in new projects. The massing study model is the component that handles information from the perspective of the outer shape design intent. Variations at this massing study model level drive the behavior of the service core model, which must adapt its configuration to the shifting geometry of the building during design exploration in early concept design stages. These variations depend on a list of inputs derived from multiple sources such as variable lot sizes, building type, variable square footage of the building, considerations about modularity, number of stories, floor-to-floor height, total building height, or total building square footage. The shifting combination of this set of parameters determines the final aspect of the building and, consequently, the final configuration of the service core. The service core is the second component involved in the automatic generation of a building draft. In the context of BIM, it is an assembly of objects, which contains other objects representing elevators, restrooms, emergency stairs, and space for several technical systems. This assembly is driven by different layouts depending on the building type, a drop-off sequence, which is the process of continuous reduction of elevators along the building, and how this reduction affects the re-arrangement of the service core layout. Results from this research involves a methodology for capturing design knowledge, a methodology for defining the architecture of smart parametric objects, and a method for real-time-feedback for decision making in early design stages. The project also wants to demonstrate the feasibility of continuous growth on top of existing parametric objects allowing the creation of libraries of smart re-usable objects for automation in design.
keywords	design automation, parametric modeling, design rules, knowledge-based design
series	CAAD Futures
email
last changed	2012/02/11 19:21

_id	cf2011_p060
id	cf2011_p060
authors	Sheward, Hugo; Eastman Charles
year	2011
title	Preliminary Concept Design (PCD) Tools for Laboratory Buildings, Automated Design Optimization and Assessment Embedded in Building Information Modeling (BIM) Tools.
source	Computer Aided Architectural Design Futures 2011 [Proceedings of the 14th International Conference on Computer Aided Architectural Design Futures / ISBN 9782874561429] Liege (Belgium) 4-8 July 2011, pp. 451-476.
summary	The design of laboratory buildings entails the implementation of a variety of design constraints such as building codes; design guidelines and technical requirements. The application of these requires from designers the derivation of data not explicitly available at early stages of design, at the same time there is no precise methodology to control the consistency, and accuracy of their application. Many of these constraints deal with providing secure environmental conditions for the activities inside laboratories and their repercussions both for the building occupants and population in general, these constraints mandate a strict control over the building‚Äôs Mechanical Equipment (MEP), in particular the Heating Ventilating and Air Conditioning (HVAC) system. Due to the importance of these laboratory designers are expected to assess their designs not only according spatial relationships, but also design variables such as HVAC efficiency, air pressure hierarchies, operational costs, and the possible implications of their design decisions in the biological safety of the facility. At this point in time, there are no practical methods for making these assessments, without having constant interaction with HVAC specialists. The assessment of laboratory design variables, particularly those technical in nature, such as dimensioning of ducts or energy consumption are usually performed at late stages of design. They are performed by domain experts using data manually extracted from design information, with the addition of domain specific knowledge, the evaluation is done mostly through manual calculations or building simulations. In traditional practices most expert evaluations are performed once the architectural design have been completed, the turn around of the evaluation might take hours or days depending on the methods used by the engineer, therefore reducing the possibility for design alternatives evaluation. The results of these evaluations will give clues about sizing of the HVAC equipment, and might generate the need for design reformulations, causing higher development costs and time delays. Several efforts in the development of computational tools for automated design evaluation such as wheel chair accessibility (Han, Law, Latombe, Kunz, 2002) security and circulation (Eastman, 2009), and construction codes (ww.Corenet.gov.sg) have demonstrated the capabilities of rule or parameter based building assessment; several computer applications capable of supporting HVAC engineers in system designing for late concept or design development exist, but little has been done to assess the capabilities of computer applications to support laboratory design during architectural Preliminary Concept Design(PCD) (Trcka, Hensen, 2010). Developments in CAD technologies such as Building Information Modeling (BIM) have opened doors to formal explorations in generative design using rule based or parametric modeling [7]. BIM represents buildings as a collection of objects with their own geometry, attributes, and relations. BIM also allows for the definition of objects parametrically including their relation to other model objects. BIM has enabled the development of automated rule based building evaluation (Eastman, 2009). Most of contemporary BIM applications contemplate in their default user interfaces access to design constraints and object attribute manipulations. Some even allow for the application of rules over these. Such capabilities make BIM viable platforms for automation of design data derivation and for the implementation of generative based design assessment. In this paper we analyze the possibilities provided by contemporary BIM for implementing generative based design assessment in laboratory buildings. In this schema, domain specific knowledge is embedded in to the BIM system as to make explicit design metrics that can help designers and engineers to assess the performance of design alternatives. The implementation of generative design assessments during PCD can help designers and engineers to identify design issues early in the process, reducing the number of revisions and reconfigurations in later stages of design. And generally improving design performance.
keywords	Heating ventilating and Air Conditioning (HVAC), Building Information Models (BIM), Generative Design Assessment
series	CAAD Futures
email
last changed	2012/02/11 19:21

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