Topology Optimization | Genesis Lab

A Computational Approach for Aenewable Architecture

Wed, 27 Apr 2016 00:00:00 +0000

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Generating Building Envelopes Using Multi-Objective Optimization Techniques

Wed, 27 Apr 2016 00:00:00 +0000

Topology Optimization As Architectural Form-Finding

Wed, 27 Apr 2016 00:00:00 +0000

A Topology Optimization Process for Discrete Modular Design based on Discrete Element Modelling for generating reconfigurable funicular structures

Mon, 01 Jan 0001 00:00:00 +0000

The complete thesis is under a temporary embargo until we publish the results of the research in a peer-reviewed journal article that is in preparation.

The project presents a generative design process based on topology optimization methodology for configuring masonry structures. In this approach, structures consisting of stackable interlocking blocks are modelled as discrete elements using the Discrete Element Method, approximating their mechanical behaviours. A process is devised to result in funicular structures that can be built using a limited set of modular masonry blocks with the aim to lower the environmental costs in terms of embodied carbon, monetary costs, and construction labour. Additionally, this process aims to increase the reuse and reconfigurability potential of the stackable blocks by seeking utmost modularity in the topological design of the underlying 3D tiling/tessellation.

Design Space Exploration of 3D Concrete Printed Bridges

Mon, 01 Jan 0001 00:00:00 +0000

The complete thesis is under a temporary embargo until we publish the results of the research in a peer-reviewed journal article that is in preparation.

Generative Solar-Climatic Configuration

Mon, 01 Jan 0001 00:00:00 +0000

The complete thesis is under a temporary embargo until we publish the results of the research in a peer-reviewed journal article that is in preparation. Team: Ir. A. Kassiani Florou, Dr.ir. P. Nourian, Ir. S.Azadi

The typical solar energy potential simulation workflows used in the AEC industry require an abundance of information regarding the detailed geometry and materialization of the design. These requisites render them incompatible with early-stage design decision-making pertaining to form-finding. By performing solar energy potential simulations at the pre-conceptual design phase, the necessary time for later-stage environmental assessments and design improvements is reduced considerably, while building designs with high performance but low environmental footprint are attained. This research proposes a computational framework to navigate voxel-based morphologies of building envelopes in a performative design space. It investigates a generative workflow through an embedded multi-criteria optimization of solar-related indicators, which are mapped in a solar energy potential field. The formulation of this field consists of an a priori assessment of the solar energy potential in every discrete volumetric unit (voxel) and a vectorized description of the interdependency of them. The astronomical size of this solution space renders the use of metaheuristic methods more appropriate. More specifically, a subtractive strategy that incorporates an MCDA approach is being applied in order to reach user-defined optimization targets. The novelty and potential of the proposed methodology lies in streamlining the early decision making process for designers and architects and expanding the morphological possibilities. Through this framework, the performative design space is effectively navigated and nearly optimal solutions are generated, to act as suggestive mechanisms for informed architectural decisions.

Bio-Inspired Approach to Early Stage Structural Form Finding

Wed, 27 Apr 2016 00:00:00 +0000