Scientific Results

This catalogue is obtained by conducting a systematic literature review of scientific studies and reviews related to monitoring, forecasting, and simulating the inland water cycle. The analysis maps scientific expertise across research groups and classifies findings by the type of inland water studied, application focus, and geographical scope. A gap analysis will identify missing research areas and assess their relevance to policymaking.

ID â–² Type Year Authors Title Venue/Journal DOI Research type Water System Technical Focus Abstract Link with Projects Link with Tools Related policies ID
publications-4671 article 2010 Willis, Rachelle McDonald and Willis, Rachelle McDonald and Stewart, Rodney Anthony and Stewart, Rodney Anthony and Emmonds, S. C. and Emmonds, S. C. Pimpama-Coomera dual reticulation end use study: pre-commission baseline, context and post-commission end use prediction Water Science & Technology: Water Supply 10.2166/ws.2010.104 The Gold Coast Water Pimpama Coomera dual reticulation schemes' recycled water supply will be online in late 2009. In an attempt to achieve better estimates on both potable and likely recycled water end uses within this region, this paper presents a predictive model that utilises a range of input parameters, including: current use in the Gold Coast and the Pimpama Coomera regions at both a bulk billing and end use level; recycled water use at other dual reticulated schemes; and questionnaire survey of residents water source preferences for outdoor uses. Prior to the commissioning of recycled water, potable water is supplied through the recycled water pipelines. Water end use consumption analysis from the recycled water smart meter indicates that this supply source currently provides 20\% of total household use with the majority of use being for toilet flushing. However, a range of factors have attributed to this low baseline level with evidence collected in this study indicating that higher recycled water consumption rates will occur once this supply line has been commissioned; largely due to the lower cost and fewer restrictions placed on this water source for discretionary outdoor purposes. The weighted amalgamation of a range of baseline adjustment factors assisted in the prediction of post-commissioning end uses for the Pimpama Coomera dual reticulated region. The predictive model indicated that recycled water end uses would account for 53 litres per person per day or 30.6\% of total household consumption. The paper concludes with a brief overview of Phase 2 of the study which aims to compare actual post-commission end uses with the baseline situation and prediction, as well as the development of a robust end use model for dual reticulated regions.
publications-4672 article 2010 Lucas, SA and Lucas, S. A. and Coombes, Peter J and Coombes, Peter J and Sharma, Ashok and Sharma, Ashok The impact of diurnal water use patterns, demand management and rainwater tanks on water supply network design Water Science & Technology: Water Supply 10.2166/ws.2010.840 The traditional use of long-term average consumption records and β€_x009c_peak factorsβ€_x009d_ to determine water network design criteria does not account for allotment-scale diurnal water use patterns which impact upon the dynamics of water distribution systems. The diversity of allotment-scale diurnal water use patterns directly impacts on network dynamics. Demand management and rainwater tanks are likely to impact upon the diurnal patterns of water flows in a water supply network. Results presented in this study suggest that rainwater tanks with mains water trickle top-up produce diurnal β€_x009c_mains waterβ€_x009d_ use patterns different to β€_x009c_householdβ€_x009d_ water use patterns, and when simulated correctly, significantly reduced peak hour β€_x009c_mains waterβ€_x009d_ demand. This outcome impacts upon water supply network design criteria and provided opportunities to offset water infrastructure costs. There is a need to investigate diurnal mains water use patterns resulting from source control measures, such as demand management and rainwater tanks, on peak hour mains water demand in water supply distribution systems and their impact on network design criteria.
publications-4673 article 2011 Walton, Andrea and Walton, Andrea and Hume, Margee and Hume, Margee Creating positive habits in water conservation: the case of the Queensland Water Commission and the Target 140 campaign International Journal of Nonprofit and Voluntary Sector Marketing 10.1002/nvsm.421 This case study reports the activities of the Queensland Water Commission (QWC) in securing the water supply for Brisbane and surrounding South East Queensland (SEQ) in response to the worst drought on record. The case focuses on residential water use and examines a three year period from 2006 to 2009. The focus of the study is the interventions of 2007, which centres on the Target 140 campaign. In 2007, the QWC faced with critically low dam levels identified household consumption as responsible for 70\% of water use. The eight month Target 140 campaign targeted household users, aiming to change the water use habits of SEQ residents. The campaign achieved not only immediate reductions in water use but also contributed to long term behavioural and attitudinal change. The aim of the campaign was to reduce water consumption from 180 litre/person/day to a target of 140 litres/person/day by the end of 2007. This was achieved with water consumption dropping to an average of 129 litres/person/day during the campaign and saving over 20 billon litres of water. In 2009, despite the drought broken for over a year and the water consumption target lifted to 200 litres/person/day residents were continuing to consume water, on average, less than 140 litres/person/day. The outcome was a capstone result for the QWC, and the Target 140 campaign went on to achieve international industry recognition. This case study demonstrates how attitudinal change, goal setting and feedback were key components of the change strategy and outlines the tactics used during the campaign. Furthermore, the case study discusses these mechanisms for change in terms of a theoretical understanding.
publications-4674 article 2014 Cerrone, Albert and Cerrone, A. R. and Hochhalter, Jacob and Hochhalter, Jacob D. and Heber, Gerd and Heber, Gerd and Ingraffea, Anthony R. and Ingraffea, Anthony R. On the Effects of Modeling As-Manufactured Geometry: Toward Digital Twin International Journal of Aerospace Engineering 10.1155/2014/439278 A simple, nonstandardized material test specimen, which fails along one of two different likely crack paths, is considered herein. The result of deviations in geometry on the order of tenths of a millimeter, this ambiguity in crack path motivates the consideration of as-manufactured component geometry in the design, assessment, and certification of structural systems. Herein, finite element models of as-manufactured specimens are generated and subsequently analyzed to resolve the crack-path ambiguity. The consequence and benefit of such a β€_x009c_personalizedβ€_x009d_ methodology is the prediction of a crack path for each specimen based on its as-manufactured geometry, rather than a distribution of possible specimen geometries or nominal geometry. The consideration of as-manufactured characteristics is central to the Digital Twin concept. Therefore, this work is also intended to motivate its development.
publications-4675 article 2016 Gabor, Thomas and Gabor, Thomas and Belzner, Lenz and Belzner, Lenz and Kiermeier, Marie and Kiermeier, Marie and Botero, Juan Felipe and Beck, Michael Till and Beck, Michael Till and Neitz, Alexander and Neitz, Alexander and Neitz, Alexander A Simulation-Based Architecture for Smart Cyber-Physical Systems 10.1109/icac.2016.29 In order to accurately predict future states of a smart cyber-physical system, which can change its behavior to a large degree in response to environmental influences, the existence of precise models of the system and its surroundings is demandable. In machine engineering, ultra-high fidelity simulations have been developed to better understand both constraints in system design and possible consequences of external influences during the system's operation. These digital twins enable further applications in software design for complex cyber-physical systems as online planning methods can utilize good simulations to continuously optimize the system behavior, yielding a software architecture framework based on the information flow between the cyber-physical system, its physical environment and the digital twin model.
publications-4676 article 2017 Seshadri, Banavara R. and Seshadri, Banavara R. and Seshadri, Banavara R. and Krishnamurthy, T. and Krishnamurthy, Thiagarajan and Krishnamurthy, Thiagarajan Structural Health Management of Damaged Aircraft Structures Using the Digital Twin Concept 10.2514/6.2017-1675 The development of multidisciplinary integrated Structural Health Management (SHM) tools will enable accurate detection, and prognosis of damaged aircraft under normal and adverse conditions during flight. As part of the digital twin concept, methodologies are developed by using integrated multiphysics models, sensor information and input data from an in-service vehicle to mirror and predict the life of its corresponding physical twin. SHM tools are necessary for both damage diagnostics and prognostics for continued safe operation of damaged aircraft structures. The adverse conditions include loss of control caused by environmental factors, actuator and sensor faults or failures, and structural damage conditions. A major concern in these structures is the growth of undetected damage/cracks due to fatigue and low velocity foreign object impact that can reach a critical size during flight, resulting in loss of control of the aircraft. To avoid unstable, catastrophic propagation of damage during a flight, load levels must be maintained that are below a reduced load-carrying capacity for continued safe operation of an aircraft. Hence, a capability is needed for accurate real-time predictions of damage size and safe load carrying capacity for structures with complex damage configurations. In the present work, a procedure is developed that uses guided wave responses to interrogate damage. As the guided wave interacts with damage, the signal attenuates in some directions and reflects in others. This results in a difference in signal magnitude as well as phase shifts between signal responses for damaged and undamaged structures. Accurate estimation of damage size, location, and orientation is made by evaluating the cumulative signal responses at various pre-selected sensor locations using a genetic algorithm (GA) based optimization procedure. The damage size, location, and orientation is obtained by minimizing the difference between the reference responses and the responses obtained by wave propagation finite element analysis of different representative cracks, geometries, and sizes.
publications-4677 article 2017 VachΓ΅lek, JΓ΅n and VachΓ΅lek, JΓ΅n and BartalskΓ½, LukΓ΅Ε΅ and Bartalsky, Lukas and RovnΓ½, Oliver and Rovny, Oliver and Ε iΕ΅miΕ΅ovΓ΅, Dana and Sismisova, Dana and MorhΓ΅Δ_x008d_, Martin and Morhac, Martin and LokΕ΅Γ­k, Milan and Loksik, Milan The digital twin of an industrial production line within the industry 4.0 concept 10.1109/pc.2017.7976223 This article presents the digital twin concept, which is an augmented manufacturing project created in close collaboration by SOVA Digital and the Institute of Automation, Measurement and Applied Informatics (UAMAI), of the Faculty of Mechanical Engineering, Slovak University of Technology in Bratislava with the support of SIEMENS. The project is a technological concept focusing on the continuous optimization of production processes, proactive maintenance, and continuous processing of process data. This project is the basis for further work to promote the concept of Industry 4.0. for the needs of the industry subjects within Slovakia. Its basic goal is to support the existing production structures within the automotive industry and the most efficient use of resources by augmented production and planning strategies, such as the digital twin presented here.
publications-4678 article 2018 Macchi, Marco and Macchi, Marco and Roda, Irene and Roda, Irene and Negri, Elisa and Negri, Elisa and Fumagalli, Luca and Fumagalli, Luca Exploring the role of Digital Twin for Asset Lifecycle Management IFAC-PapersOnLine 10.1016/j.ifacol.2018.08.415 Abstract This work is an explorative study to reflect on the role of digital twins to support decisionmaking in asset lifecycle management. The study remarks the current convergence of needs for decision support from Asset Management and of potentials for decision support offered by Digital Twin modeling. The importance of digital twins is evident through state of the art as well as practical use case analysis.
publications-4679 article 2018 Cominola, Andrea and Cominola, Andrea and Spang, Edward S. and Spang, Edward S. and Giuliani, Matteo and Giuliani, Matteo and Castelletti, Andrea and Castelletti, Andrea and Lund, Jay R. and Lund, Jay R. and Loge, Frank J. and Loge, Frank J. Segmentation analysis of residential water-electricity demand for customized demand-side management programs Journal of Cleaner Production 10.1016/j.jclepro.2017.10.203
publications-4680 article 2019 Luo, Weilin and Luo, Weichao and Hu, Tianliang and Hu, Tianliang and Zhang, Chengrui and Zhang, Chengrui and Wei, Yongli and Wei, Yongli Digital twin for CNC machine tool: modeling and using strategy Journal of Ambient Intelligence and Humanized Computing 10.1007/s12652-018-0946-5 As a typical manufacturing equipment, CNC machine tool (CNCMT), which is the mother machine of industry, plays an important role in the new trend of smart manufacturing. As the requirement of smart manufacturing, the abilities of its self-sensing, self-prediction and self-maintenance are necessary. In order to make CNCMT become more intelligent, a research about Digital twin (DT) for CNCMT is conducted. In this research, a multi-domain unified modeling method of DT is established, a mapping strategy between physical space and digital space is explored, and an autonomous strategy of DT is proposed. These methods can optimize the running mode, reduce the sudden failure probability and improve the stability of CNCMT. Finally, this paper provides a demonstration of DT model building and using strategy in fault prediction and diagnosis for CNC milling machine tool.