ARCOM

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Acheamfour, V K, Kissi, E and Adjei-Kumi, T (2019) Ascertaining the impact of contractors pre-qualification criteria on project success criteria. Engineering, Construction and Architectural Management, 26(04), 618–32.

Aksorn, T and Hadikusumo, B H W (2008) Measuring effectiveness of safety programmes in the Thai construction industry. Construction Management and Economics, 26(04), 21.

Cheung, F K T, Wong, M and Skitmore, M (2008) A study of clients' and estimators' tolerance towards estimating errors. Construction Management and Economics, 26(04), 349–62.

Forsythe, P J and Sepasgozar, S M (2019) Measuring installation productivity in prefabricated timber construction. Engineering, Construction and Architectural Management, 26(04), 578–98.

Jayasinghe, R S, Rameezdeen, R and Chileshe, N (2019) Exploring sustainable post-end-of-life of building operations. Engineering, Construction and Architectural Management, 26(04), 689–722.

Jha, K N and Devaya, M N (2008) Modelling the risks faced by Indian construction companies assessing international projects. Construction Management and Economics, 26(04), 337–48.

Kumaraswamy, M M and Dissanayaka, S M (1998) Linking procurement systems to project priorities. Building Research & Information, 26(04), 223–38.

Kyrö, R, Peltokorpi, A and Luoma-Halkola, L (2019) Connecting adaptability strategies to building system lifecycles in hospital retrofits. Engineering, Construction and Architectural Management, 26(04), 633–47.

Lingard, H, Warmerdam, A and Shooshtarian, S (2019) Getting the balance right. Engineering, Construction and Architectural Management, 26(04), 599–617.

Littlefair, P J (1998) Predicting lighting energy use under daylight linked lighting controls. Building Research & Information, 26(04), 208–22.

Luu, T-V, Kim, S-Y, Cao, H-L and Park, Y-M (2008) Performance measurement of construction firms in developing countries. Construction Management and Economics, 26(04), 373–86.

Mallasi, Z (2019) Designing with pixels: parametric thinking for patterning dynamic building facades. Engineering, Construction and Architectural Management, 26(04), 668–88.

• Type: Journal Article
• Keywords: Building facade; Computational design; Image pixels; Parametric modelling; Patterning;
• ISBN/ISSN: 0969-9988
• URL: https://doi.org/10.1108/ECAM-11-2017-0242
• Abstract:
  Advances in digital design tools enable exploration and generation of dynamic building facades. However, some processes are formally prescribed and manually driven to only visualize the design concepts. The purpose of this paper is to present a proactive framework for integrating parametric design thinking, paying particular attention to building facade patterning. This work developed the PatternGen^© add-on in Autodesk® Revit which utilizes an analytical image data (AID) overlay approach as a data source to dynamically pattern the building facade. The add-on was used to manipulate the placement rules of curtain panels on facade surface geometry. As means of validating this research model, a real-life design project has been chosen to illustrate the practical application of this approach. Feedback and observations from a short end-user questionnaire assessed qualitatively the facade patterning and panelization approach. The proposed merge (or overlay) of AID images can be used as a parametric thinking method rather than just theory to generate and articulate dynamic facade design. The facade panelization responds to an AID that resembles design-performance data (e.g. solar exposure, interior privacy importance and aesthetics). This work identifies a form of parametric thinking defined as the expression of geometrical relationships and its configuration dependent on the AID pixel Red Green Blue color source values. In this type of thinking, it explores the impact of the digital process and parametric thinking utility when driven by an AID overlay. The framework highlighted the practical application of AID pixel approach within a digital process to benefit both designers and computational tools developer on emerging design innovations.

Mejlænder-Larsen, & (2019) A three-step process for reporting progress in detail engineering using BIM, based on experiences from oil and gas projects. Engineering, Construction and Architectural Management, 26(04), 648–67.

Naderpajouh, N and Afshar, A (2008) A case-based reasoning approach to application of value engineering methodology in the construction industry. Construction Management and Economics, 26(04), 363–72.

Toor, S-U-R and Ogunlana, S (2008) Problems causing delays in major construction projects in Thailand. Construction Management and Economics, 26(04), 395–408.

Wang, D, Fang, S and Li, K (2019) Dynamic changes of governance mechanisms in mega construction projects in China. Engineering, Construction and Architectural Management, 26(04), 723–35.

Zou, Y and Lee, S-H (2008) The impacts of change management practices on project change cost performance. Construction Management and Economics, 26(04), 387–93.