Adaptive Topologies

MULTIDISCIPLINARY GENERATIVE TOPOLOGIES

The culture of design has evolved to a more multifaceted and multidisciplinary approach that involves data gathering and physical simulations. An architectural configuration today is expected to model various factors that implicate conflicting changes to the formation of morphologies. The burden of simulations has extended from design verification to design driving and speculation.

Simulation Driven Design allows for multidisciplinary processes to coexist in a single environment that drives the design evolution, encouraging one to explore a broader solution space. This allows for validation of the physical aspects in the building design during the early stages of the development and releases the designer from the usual project constraints. It also accounts for the different environmental aspects to be addressed taking into consideration material resourcefulness, performance, and tectonics.

Our research focuses on addressing the multidisciplinary challenges of the design methodology, to facilitate a more orderly process that focuses on material formation, conservation and accumulation. Its emphasis on investigating novel systems that produce a balanced process of form generation and structural geometry. Our research will cover multiple functions of the design discipline, from topology optimization, thermal performance and adaptive structures, catering to a more sensible and material-based approach to design of the built environment. This research leverages on the latest advancements in computational processes, material compositions and digital fabrication techniques. It will aim to achieve design freedom, complexity and efficiency in offering smart and sustainable solutions for the future built environment.

SCIENTIFIC COORDINATOR

Samir Al-Azri

PROJECTS

“Adaptive Topologies” Workshop, MADE 2019 Pavillion

RELATED PUBLICATIONS

  • Bialkowski, S. (2018). Topology Optimisation Influence on Architectural Design Process. Applications in Construction & Optimisation (p. 139). Lodz: eCAADe.
  • Frumar, J. (2008). An Energy Centric Approach to Architecture. Silicon + Skin: Biological Processes and Computation (pp. 72 – 81 ). Minneapolis: Proceedings of the 28th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) .
  • JUNHO CHUN, J. L. (2018). Topo-Joint. LEarning, Adapting and Prototyping, Proceedings of the 23rd International Conference of the Association for Computer-Aided Architectural Design Research in Asia (pp. 205-2014). Hong Kong: Association for Computer-Aided Architectural Design Research in Asia (CAADRIA).
  • Tsavdaridis, Konstantinos Daniel. 2015. “Applications of Topology Optimization in Structural Engineering : High – Rise Buildings and Steel Components”. Jordan Journal of Civil Engineering 9 (3). Jordan Journal of Civil Engineering: 335–57. doi:10.14525/jjce.9.3.3076.
  • Beghini, Lauren L., Alessandro Beghini, Neil Katz, William F. Baker, and Glaucio H. Paulino. 2014. “Connecting Architecture and Engineering through Structural Topology Optimization”. Engineering Structures 59 (February). Elsevier BV: 716–26. doi:10.1016/j.engstruct.2013.10.032.