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A strategy for integrating hillside dwelling design and automated construction techniques

Author(s): ORCID
ORCID
Medium: journal article
Language(s): English
Published in: Smart and Sustainable Built Environment, , n. 2, v. 11
Page(s): 387-403
DOI: 10.1108/sasbe-11-2021-0198
Abstract:

Purpose

Sloping topographies in urban areas are often under-utilised due to complex designs and difficult access, resulting in low construction productivity and high cost. Automated construction techniques are usually limited to flat sites or lab spaces. This research combines concepts for automated and prefabricated construction with hillside dwelling design. It proposes a strategy to integrate both aspects and to equally inform design process and design output. The aims are to turn hillside access and construction automation into design generators, improve productivity and use more affordable hillside sites.

Design/methodology/approach

Analysis of typologies for hillside housing and automated construction techniques is used to derive principles and parameters to inform a strategy and generative script for setting out, volumetric disposition and access and using the topography as a design-generator. The output from the generative script and tool can then form the basis of a high-density, low-rise dwelling development suited for serial, automation-assisted construction. The strategy is tested on a case study site.

Findings

The typological analysis helps devising strategies for integrating construction robotics and design criteria for hillside housing. The generative script illustrates how a strategy is implemented and used in a design tool able to absorb varying input data, including topographies. This generates innovative, site-specific design outcomes, suited for a process that adapts contemporary construction automation techniques and allows for more efficient use of hillside sites.

Originality/value

This research builds on construction automation methods and proposes novel combinations and adaptations for use on hillside sites. It demonstrates how robotics and generative tools can inform early design stages.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1108/sasbe-11-2021-0198.
  • About this
    data sheet
  • Reference-ID
    10779717
  • Published on:
    12/05/2024
  • Last updated on:
    12/05/2024
 
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