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• Essential Algorithms and Data Structures for Computational Design
  [[Category:Data Structures]] ...x 3D modeling algorithms using Grasshopper. It also covers extensively the data structure adopted by Grasshopper and its core organization and management t
  108 KB (16,178 words) - 14:37, 22 February 2021

Page text matches

• Design
  ...esign]]ing, and [[construction|constructing]] buildings and other physical structures. Architectural works, in the material form of [[building]]s, are often perc *A general term to describe buildings and other physical structures.<ref name=OED/>
  12 KB (1,758 words) - 14:52, 18 December 2018
• Smart contract
  =Structures= ...ify [[Data patterns | patterns]] in the [[Data transaction | transactional data]] tagged by [[blockchain]].
  5 KB (741 words) - 21:33, 30 January 2019
• Project Finance
  ...fferent structures available to sponsors for this purpose. The most common structures used are: Of these structures the joint venture and limited company structure are the most universally us
  236 KB (39,146 words) - 23:37, 30 January 2019
• New Engineering Contract (NEC)
  ...Data part one (Data provided by the Employer) and Contract Data part two (Data provided by the Contractor). Several approaches are included making it a fa =Structures=
  19 KB (2,936 words) - 10:59, 15 May 2020
• Essential Algorithms and Data Structures for Computational Design
  [[Category:Data Structures]] ...x 3D modeling algorithms using Grasshopper. It also covers extensively the data structure adopted by Grasshopper and its core organization and management t
  108 KB (16,178 words) - 14:37, 22 February 2021
• The emergence of BIM SLCs
  ...us and embedded information, we have to carefully consider data ownership, data veracity and the application of fundamental technologies such as Blockchain ...scribed as the amalgamation of a few technologies for secure decentralised data management and value transaction. The interest in Blockchain has been incre
  10 KB (1,413 words) - 11:40, 15 May 2020
• Voxel Printing of Neuroimaging
  ...ing possibilities with more accurate visualisation of complex neurological structures, with the added possibility of multi-material gradients which simulate nati ...]], [[Neural Networks]], [[Machine learning]], [[Human Navigation]], [[Big Data]], [[Cognising Spaces]].
  3 KB (374 words) - 23:32, 14 December 2020
• BCRW 2022
  ...tore the history of transactions thereby ensuring traceability for the CSC data delivery. ...650 information management workflow should be based on the use of a Common Data Environment (CDE) as a single source of truth for all project stakeholders.
  30 KB (4,201 words) - 12:09, 3 July 2022
• DC I/O 2022
  ...design, the processes – natural and/or digital – of articulating this data input to accomplish design and the outcomes of these processes as artifacts ...d preliminary design methodology for repetitive design features in complex structures]]
  4 KB (562 words) - 23:47, 10 December 2023
• A machine learning assisted preliminary design methodology for repetitive design features in complex structures
  ...sues compound as these design features are typically repetitive in complex structures. This leads to long design and development cycles. Application of machine l ...OTSON, A.R., ROUX, O.L., AND PRIOR, A.M. 2011. Virtual testing of aircraft structures. CEAS Aeronautical Journal 247, 1, 83.
  5 KB (755 words) - 09:40, 12 April 2023
• Simulation and Fabrication of Elastic Deployable Stripe Structures
  ...ave many applications in architecture, from kinetic pavilions to temporary structures, to retractable rooftops. There are various advantages to building deployab ...sign phase, and it is believes that by designing, simulating, and re-using data from already tested physical models, kinetic design methodological framewor
  4 KB (551 words) - 09:42, 12 April 2023
• Prototyping the Organic: AI in design work-flows for complex forms inspired by nature
  ...ns, S., Philippe Block, Diederik Veenendaal and Williams, C. (2014). Shell structures for architecture : form finding and optimization. London ; New York: Routle *Kapp, K., Gain, J., Guérin, E., Galin, E. and Peytavie, A. (2020). Data-driven authoring of large-scale ecosystems. ACM Transactions on Graphics, 3
  4 KB (506 words) - 21:40, 18 April 2023
• BCRW 2023
  ...in digital twins, allowing diverse stakeholders to manage their individual data sources and connections. This approach seeks to enhance information accessi ...ves implementing checking rules and coordination checks to ensure accurate data updates. Responsibilities for maintaining digital twins may extend to suppl
  52 KB (7,101 words) - 19:17, 27 November 2023
• Predictive Maintenance for Civil Infrastructure - Digital Twin-IoT-Blockchain Framework
  ...The presented approach, adaptable to various types of infrastructures and structures comprising the built heritage, enables stakeholders to optimise resource ma
  3 KB (361 words) - 17:18, 29 November 2023
• Predictive Maintenance for Built Heritage: Integrating Blockchain, IoT, and Digital Twins
  ...The presented approach, adaptable to various types of infrastructures and structures comprising the built heritage, enables stakeholders to optimise resource ma
  3 KB (385 words) - 10:09, 18 March 2024
• AI and design: Sources of “truth”?
  ...rgy performance and computational fluid dynamics to model wind flow around structures more efficiently than traditional simulations. ...zing models or machine learning that seeks to fit patterns within existing data.
  3 KB (490 words) - 23:12, 19 March 2024