School of Future Environments - Huri te Ao

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AUT is home to a number of renowned research institutes in architecture and creative technologies. The School of Future Environments - Huri te Ao strong industry partnerships and the unique combination of architecture and creative technologies within one school stimulates interdisciplinary research beyond traditional boundaries.

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    Lean Construction Supply Chain: A Transport Perspective
    (IGLC, 2024-07-07) Dhawan, Kamal; Tookey, John; Poshdar, Mani
    The extensive and interdisciplinary construction supply chain is susceptible to inefficiencies at the interfaces of organisations. These inefficiencies are exacerbated by intricate logistics systems that operate among numerous stakeholders and actors, involving concurrent activities, processes, and on- and off-site systems. Transportation stands out as the most significant element within construction logistics. The fragmentation of the transport function stems from its intrinsic nature to every business, typically involving externalised asset ownership and deployment. Inefficiencies infiltrate the system due to isolated planning across different segments, gradually accumulating into macro-level visibility. To optimise logistics, particularly the transport function, identified strategies involve reconfiguring activities, combining resources, and repositioning actors. This paper delves into the impact of vertically integrating distribution, implementing integrated planning for transport operations, and incorporating reverse logistics into operations on the transport function within a supply chain for manufactured construction products. The study evaluates sustainability impacts using transport efficiency metrics and domestically determined parameters to benchmark the 'leaning and greening' of the specific supply chain under consideration.
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    A Highly Stretchable Strain-based Sensing Sheet for the Integrated Structural Health Monitoring
    (IOP Publishing, 2024-06-28) Zhang;, Hui; Beskhyroun, Sherif
    In this study, a flexible strain sensing system that can be applied to full-scale reinforced concrete frame structures is presented. In order to fulfil the criteria for strain detection that are posed by various structural components, the flexible strain gauge is offered in two distinct configurations: one full bridge and one double half bridge. A strain configuration selector is built on the basis of this information. The selector is designed to enable the system to flexibly switch strain modes for measuring axial or bending strain without adjusting the installation location of strain sensors. The first section of this study focuses mostly on elaborating on the methodology behind the development of a flexible strain system. This method was primarily designed with the aim of detecting the abnormalities in the strain field that are brought on by structural damage in order to accomplish the goal of local detection. The creation of a strain configuration selector also enables the conversion between two different strain measures whenever it is necessary without requiring the sensor installation to be moved to a new position, which helps to significantly reduce the amount of cost associated with sensor deployment. The performance of the flexible strain sensing system as well as its sensitivity were evaluated by doing the cyclic load testing on a full-scale RC frame. Both half-bridge and full-bridge strain gauges are installed in the critical components, such as beams and columns. In addition, 14 linear variable displacement transducers (LVDTS) were placed on the RC frame in order to monitor variations in displacement and deformation. The findings of the experiments indicate that the flexible strain sensor exhibits a high degree of sensitivity, and it is therefore suitable for integration into a structural health monitoring (SHM) system for the purpose of tracing the strain caused by localised structural damage. Additionally, it is able to monitor the strain trend on the complete scale of the frame model. In future work, the flexible strain system will be modified and enhanced by using wireless technology for data transmission in order to build a wirelessly integrated structural health monitoring (SHM) system.
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    An Investigation on the Impact of the COVID-19 Pandemic on New Zealand’s Knitwear Manufacturing Sector
    (Taylor and Francis Group, 2023-02-01) Nautiyal, Mitali; Joseph, Frances; Hunting, Amabel
    Knitwear producers in New Zealand are looking for ways to deal with the uncertainties that have arisen due to the COVID-19 pandemic. This research considers the impact of the pandemic and its effects on the development and long-term survival of the knitwear sector. An anonymous online survey was undertaken among New Zealand’s established knitwear manufacturers, with seven taking up the survey. The respondent companies accounted for around half of the total workforce employed in the country’s knitwear sector. The data were analysed using both quantitative and qualitative methods. A SWOT analysis was conducted to place the sector in a global context, identifying necessary measures for future strategic planning. The findings revealed that the supply chain has been disrupted, some businesses have stalled, and the cost of obtaining raw materials has skyrocketed. Due to the impact of the pandemic on the tourism industry, revenues have fallen. As COVID-19 is an ongoing challenge, knitwear manufacturers need to rearrange their supply chains to increase local suppliers and explore new and innovative ways to engage with domestic customers.
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    Working With Nature, Working with Indigenous Knowledge: Community Priorities for Climate Adaptation in Samoa
    (Elsevier BV, 2024-06-24) Latai-Niusulu, Anita; Taua'a, Susana; Lelaulu, Tuputau; Pedersen Zari, Maibritt; Bloomfield, Sibyl
    The culturally diverse region of Moananui Oceania, is where many of the world's nations that are most impacted by climate change are located, including Samoa. Nature-based solutions (NbS) offer significant potential for effective climate change adaptation and are increasingly being explored and utilized in the region both in terms of (re)exploring traditional human designed living-systems created over connected land and oceanscapes, and in relation to contemporary NbS strategies. To explore nature-based adaptation agendas that link closely to Indigenous ecological knowledge and understandings of wellbeing, and that can enhance cultural connections to NbS in an urban climate change adaptation context, the Nature-based Urban design for Wellbeing and Adaptation in Oceania (NUWAO) Vaisigano Project in Samoa was conceived. The project examines and draws upon contemporary and traditional relationships between human settlements and nature in Samoa, as a means to advocate for regenerative urban environments that enhance entwined socio-ecological wellbeing and resilience as a climate change adaptation measure. We conducted a series of household interviews along a ridge-to-reef transect in the Vaisigano Catchment and then conducted fa'afaletui focus groups to ascertain community understandings and priorities related to NbS for climate change adaptation. Findings include that there is great potential in combining local Indigenous knowledges and worldviews with contemporary nature-based approaches to create culturally effective, just, and resilient climate change adaptation measures in Samoa, and in wider Moananui Oceania.
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    Projection of Rainfall Distribution Map Under the Impact of RCP4.5 and RCP8.5 Climate Change Scenarios: A Case Study of Penang Island, Malaysia
    (Penerbit Universiti Kebangsaan Malaysia (UKM Press), 2024-05-31) Mohamed Yusof, Mohamed Khatif Tawaf; A Rashid, Ahmad Safuan; Mohd Apandi, Nazirah; Abdul Khanan, Mohd Faisal; Abdul Rahman, Muhammad Zulkarnain; Kalatehjari, Roohollah; Ismail, Afiqah; Mohd Salleh, Mohd Radhie
    Malaysia experiences abundant rainfall, which can potentially lead to geo-hydrological disasters. Therefore, studying the effect of climate change on rainfall events is crucial. The General Circulation Model (GCM) is a well-accepted terrestrial-scale climate simulation approach widely employed by climate scientists and researchers worldwide. However, despite its comprehensive approach, GCM lacks in necessary precision at the local level due to its coarse resolution. Consequently, employing statistical downscaling techniques becomes essential for achieving accurate simulations at the local scale. Notably, there is a scarcity of localized studies focusing on the climate change effect, specifically in Penang Island. Penang Island was selected as the study area due to its high urbanization rate and frequent geo-hydrological disasters. The current study assessed the impact of climate change on mean annual rainfall (MAR) distribution using a statistical downscaling model (SDSM) under two representative concentration pathways (RCP4.5 and RCP8.5). SDSM is calibrated and validated, and rainfall spatial distribution maps are generated through Kriging and IDW methods for the observed (1990-2019) and future (2070-2099) periods. The results indicate that under both RCPs, MAR projections increased. RCP8.5 (14.93%) shows a higher effect, where the increment percentage is almost double that of RCP4.5 (8.6%). The model displays strong correlation and performance, with a disparity of 1.24% to 11.73%, averaging 7.50%, between observed and modelled results. The outcomes of this research hold significant implications for local authorities, providing valuable insights to enhance preparedness and response strategies concerning the evolving climate conditions, particularly in the context of geo-hydrological hazards, environmental concerns, and water security in Penang Island. However, it is crucial to acknowledge the study's limitation, considering only two climate scenarios (RCP4.5 and RCP8.5). Future research efforts should involve a broader spectrum of climate scenarios to yield a more comprehensive understanding of climate change's multifaceted and unpredictable nature for enhanced robustness of future climate-related strategies and policies.
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