Tonsley Park Redevelopment Main Assembly Building and Pods

An Exemplar Interconnected and Intelligent Mixed-Use Precinct for Public Use.

The objective of the Main Assembly Building (MAB) was to create a highly flexible, mixed use precinct under an ‘umbrella’ of the existing structure. Whilst respecting the structure of the MAB in its current form, Woods Bagot created a comprehensive design for the adaptive re-use celebrating the industrial heritage of the Mitsubishi Motors building and creating a unique destination and contemporary public space.

The detailed design of the MAB ensures an economically, socially and environmentally sustainable response to the site. An internal layout delivers a clear yet flexible allotment plan which highlights and adequately deals with the complex issues associated with land titling under the existing structure.

The internal demonstration ‘pod’ buildings are situated under the MAB roof structure. The demonstration pods show future tenants possible building configurations that are attractive, adaptable, flexible and highly functional for a variety of uses including use by multiple tenants within one pod.

Woods Bagot led the master plan consortium for the 61-hectare Tonsley Park Redevelopment site and was lead architect for the adaptive reuse of the Tonsley Main Assembly Building (MAB) and design demonstration pod tenancies. One pod was designed by modular building specialists Tridente Architects, while a second pod was designed by Woods Bagot.

Details.

Client

Renewal SA

Address

Adelaide, South Australia

Area

47,000 sqm

Status

Completed

Completion Date

2015

Team

Gavin Kain, Milos Milutinovic, Thomas Masullo

Sustainability

Six-Star Green Star – Communities accreditation, Green Building Council of Australia

Awards

WAN Awards (2015) - Winner, Adaptive Reuse (Woods Bagot & Tridente Architects)
AIA National Awards (2016) - Winner, David Oppenheim Award for Sustainable Architecture
UDIA National Award (2017) - Winner, Urban Renewal
Australian Urban Design Awards (2017) - Winner, Large Scale Project

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