Infrastructure Engineering - Research Publications

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    Review and Classification of Objectives in Dynamic Dial-a-Ride Systems: A Triple Bottom Line Approach of Sustainability
    Tiwari, S ; Nassir, N ; Lavieri, PS (MDPI AG, 2024)
    Dynamic dial-a-ride problems (DDARPs) involve designing routes and schedules for customers with specific origins and destinations. While the optimization of DDARPs has been extensively examined, these analyses often focus solely on economic decisions. The recent literature emphasizes the inclusion of social and environmental factors in addition to economic considerations for a sustainable transportation system. This paper provides a conceptual review that identifies and classifies the most common DDARP objectives in the three dimensions of the Triple-Bottom-Line (3BL) approach of sustainability: environmental, economic, and social. This study analyzes the interconnections among different objectives and provides insights into multi-objective approaches used in transportation problems. The findings demonstrate the interconnectedness of objectives from different dimensions and highlight the involvement of various stakeholders in decision-making. The results show that optimizing one objective may have implications for other objectives, suggesting a trade-off to be considered. The results reveal that social objectives boost the economic dimension by improving service quality; however, environmental objectives negatively impact the economic dimension. Additionally, a geographical analysis was conducted, which revealed continent-wise variations in research focus and contributions. Future studies should focus more on the social and environmental dimensions to promote a sustainable transportation system.
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    Effect of Processing and Cultivar on Thermo-Chemical Properties of Australian- Grown Hemp Hurd (Cannabis sativa L.)
    Fehrmann, J ; Belleville, B ; Ozarska, B ; Ismayati, M ; Dwianto, W (Tech Science Press, 2024)
    This study explored the thermo-chemical properties of industrial hemp hurd with different provenances, maturity stages, and retting protocols. The findings were then compared to hemp hurd used in the fabrication of citric acid-bonded ultra-low-density hemp hurd particleboard. Pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS), Fourier-transform infrared spectroscopy (FTIR), and thermogravimetric analysis (TGA) were employed to document the variability of the hurd and comprehend the potential impact on biobased composite applications. The choice of cultivar, maturity stage, and processing modality significantly influenced the chemical composition, presence of functional groups, and thermal stability of the hurd. Py-GC/MS revealed substantial variations in the lignin-to-carbohydrate (L/C) ratio, along with the absence of fatty acids in certain cultivars. While FTIR signals confirmed consistent functional groups, differences in peak intensities were indicative of carbohydrate variations associated with maturity and retting duration, impacting the availability of hydroxyl groups for i.e., interparticle bonding in citric acid-based bio-composites. Furthermore, it was observed that short- er retting durations initially enhanced the thermal resistance, but prolonged retting led to accelerated degradation, significantly reducing the hurd’s residual mass. The findings indicated notable differences among the samples, emphasizing the importance of investigating variables such as provenance/cultivar, maturity, and processing modality. This assessment is essential to ensure effective agronomic practices that align the raw material charac- teristics with the specific requirements of intended applications, such as the fabrication of biobased hemp hurd composites.
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    Guest editorial: Embracing the future construction project lifecycle: education and training for construction 4.0
    Rashidi, A ; Najafi, M ; Arashpour, M ; Moehler, R ; Bai, Y ; Rahimian, F (Emerald, 2024-07-04)
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    Cool for school
    McNiven, B ; Aye, L ; Holzer, D (Australian Institute of Refrigeration, Air Conditioning and Heating (AIRAH), 2024-05-23)
    Effective learning spaces that maintain optimum indoor environmental quality and inspire students to learn form a critical component of educating our youth. As part of the i-Hub initiative, a collective of designers, engineers and architects explored how integrated design might benefit ACT schools.
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    Artificial neural networks for predicting the performance of heat pumps with horizontal ground heat exchangers
    Zhou, Y ; Narsilio Ferrero, G ; Makasis, N ; Soga, K ; Chen, P ; Aye, L (Frontiers Media SA, 2024-06-12)
    A Ground Coupled Heat Pump (GCHP) is a highly energy efficient heating, ventilation, and air conditioning (HVAC) system that utilises the ground as the heat source when heating and as the heat sink when cooling. This paper investigates GCHP systems with horizontal Ground Heat Exchangers (GHEs) in the rural industry, exemplifying the technology for poultry (chicken) sheds in Australia. This investigation aims to provide an Artificial Neural Network (ANN) model that can be used for GCHP design at various locations with different climates. To this extent, a Transient System Simulation Tool (TRNSYS) model for a typical horizontal GHE applied in a rural farm was first verified. Using this model, over 700,000 hourly performance data items were obtained, covering over 80 different yearly loading patterns under three different climate conditions. The simulated performance data was then used to train the ANN. As a result, the trained ANN can predict the performance of GCHP systems with identical (multiple) GHEs even under climatic conditions (and locations) that have not been specifically trained for. Unlike other works, the newly introduced ANN model is accurate even with limited types of input data, with high accuracy (less than 5% error in most cases tested). This ANN model is 100 times computationally faster than TRNSYS simulations and 10,000 times faster than finite element models.
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    Suction bucket performance in sand under vertical cyclic loading: Numerical modelling using SANISAND-MS
    Roy, A ; Liu, H ; Bienen, B ; Chow, SH ; Diambra, A (Elsevier, 2024-09-01)
    This study assesses the performance of a memory surface constitutive model (SANISAND-MS) in capturing vertical cyclic loading on a suction bucket foundation in sand. The model has been calibrated against drained cyclic triaxial responses and validated against corresponding centrifuge experiments on suction buckets. The model was found to satisfactorily capture the effects of increasing accumulated strain with increasing mean stress level and reducing density. The performance of the model was further investigated through a parametric study on suction buckets at different mean stress levels, densities and loading sequences. The insights gained from investigating the strain and stress responses, along with the movement of the memory surface, reveal that the model can satisfactorily capture the strain accumulation and ratcheting effects under different load histories.
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    New circularity indicator for decision making in the stockpile management of construction and demolition waste: Perspectives of Australian practitioners
    Pilipenets, O ; Hui, K ; Gunawardena, T ; Mendis, P ; Aye, L (Elsevier BV, 2024-07-01)
    Despite the increasing popularity of the circular economy, there remains a lack of consensus on how to quantify circularity, a critical aspect of the practical implementation of this model. To address this gap, this article examines the industry's perspective and efforts toward implementing the circular economy in real-world scenarios. We conducted 40 interviews with engineers, project leaders, and top-level managers in the Australian construction sector. Using Saldaña's coding approach, we analysed their views on circular economy practices and efforts within their organisations. Our findings reveal while waste minimisation, reduction of greenhouse gas emissions, and cost considerations are widely regarded as essential indicators of a successful circular economy model, the significance of waste storage and long-term stockpiling while awaiting treatment has been overlooked or under-emphasised in industry practices and academic literature. Stockpiling of waste has often been seen as a staging process in waste treatment. However, based on industry insights, it accumulates to the point of mismanagement when it becomes a safety and environmental concern. Addressing this oversight, we propose a storage circularity indicator that allows incorporating waste storage and stockpiling in circular economy models. Our research contributes to various environmental and waste management aspects, supporting policies and strategies for solid waste management and excessive stockpile prevention. By emphasising the significance of storage circularity, we clarify waste prevention techniques and address socio-economic issues such as the urgent need to reduce long-term stockpiling of solid waste. This work highlights the importance of decision-support tools in waste management to facilitate the implementation of circular economy principles. Our proposed storage circularity indicator promotes industrial collaboration, aligning with the concept of industrial symbiosis to optimise resource use and minimise waste generation. By discussing these topics, we aim to contribute to the advancement of more robust waste management strategies and policies that promote sustainable production and consumption practices.
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    Current challenges and strategic directions for land administration system modernisation in Indonesia
    Jahani Chehrehbargh, F ; Rajabifard, A ; Atazadeh, B ; Steudler, D (Taylor and Francis Group, 2024)
    Digital transformation is vital for modernising Land Administration Systems (LASs), ensuring efficient, transparent, and secure land services. This study evaluates Indonesia’s LAS using the Digital Government Readiness Assessment (DGRA) framework, identifying regulatory gaps, inefficient registration, validation issues, and resource constraints. Inspired by New Zealand, Singapore, and Australia, it recommends standardising parcel identification numbers, updating regulations, adopting new data formats, and enhancing address standards. Additionally, it suggests implementing digital workflows, automation services, and collaborating with the surveying industry. Institutional and organisational improvements are also proposed based on global initiatives.
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    Supply chain risk management for projects: A review, a taxonomy, a framework, and a research agenda
    Baghalzadeh Shishehgarkhaneh, M ; Moehler, R ; Fang, Y ; Hijazi, A ; Aboutorab, H (University of Bath, 2024)
    This study investigates the critical role of supply chain risk management (SCRM) as a factor for growth and competitive advantage in project management. While there is extensive literature on risk management, there is a notable gap in the development of a comprehensive risk taxonomy tailored to project management supply chains. Through a systematic literature review of 50 scholarly articles, this paper categorizes and identifies prevalent supply chain risks and their potential impacts, which influence the entirety of project supply chains. It introduces a novel SCRM taxonomy, elucidating its significance in the context of project management. Additionally, the research proposes a future research agenda aimed at supporting the theoretical foundations of SCRM, thereby facilitating its formalization and strategic refinement. This endeavor enhances our understanding of SCRM’s key role in project management, providing a structure for future research and application across diverse industries, beyond the traditional focus on construction.
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    The affordance of boundary objects for codified project learning sharing between communities of practice: Pilot study results and learnings for selected sustainability demonstration projects
    Ferres, G ; Moehler, R ; Sharp, D (University of Bath, 2024)
    Effective project-to-project learning can prevent projects from repeating the same mistakes however externalised knowledge sharing is necessary to overcome temporal, geographical and organisational barriers. Externalised sharing for this purpose requires the codification of knowledge relating to project learnings within boundary objects, where codification may be impacted by an array of complex considerations. Among these considerations is whether the capacity of the boundary object affords boundary spanning between communities of practice, where boundary-spanning capacity is influenced by the characteristics codified within the object. The grand-challenge context of sustainability demonstration projects provides an important case context for boundary spanning as these projects have knowledge sharing and learning as a central focus, key driver and intended outcome. While the application of boundary objects has been explored in a wide range of domains and cases, this article specifically considers the characteristics of boundary objects representing codified project learnings to afford project-to-project knowledge sharing, a focus which has not yet been studied in either the sustainability demonstration context or any other project-to-future learning organisation case context. An initial pilot study has been conducted with four sustainability demonstration case projects, with results and learnings to guide the refinement of future large-scale research design.