Article
Green & Sustainable Science & Technology
Francesco Gagliardi, Angela Daniela La Rosa, Luigino Filice, Giuseppina Ambrogio
Summary: The study evaluates the environmental impact of using lightweight materials to reduce carbon emissions in the automotive industry, with results showing that glass-fiber reinforced thermoset and carbon-fiber reinforced thermoplastic have the lowest environmental impact.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Environmental
Antoine Beylot, Fulvio Ardente, Serenella Sala, Luca Zampori
Summary: This article proposes an approach to account for mineral resource dissipation in life cycle inventories, with the application to analyze the direct dissipation of mineral resources along the primary production of copper. The results show that the production of 1 kg of copper cathode generates 0.88 kg of direct dissipative flows of resources, primarily calcium carbonate, copper, and to a lower extent iron. The developed approach may change the interpretation of results regarding mineral resources in LCA and have implications on methodological aspects and data requirements.
INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT
(2021)
Article
Astronomy & Astrophysics
Mark den Brok, Davor Krajnovic, Eric Emsellem, Jarle Brinchmann, Michael Maseda
Summary: In this study, VLT/MUSE observations of PGC 046832 were analyzed, revealing the velocity structure and using Schwarzschild models to infer the intrinsic shape, central black hole mass, and orbit distribution of the galaxy. Results showed that the kinematic reversals along different axes are driven by the orbit distribution and shape of the galaxy.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2021)
Article
Engineering, Environmental
Frederic Lai, Antoine Beylot
Summary: This study aimed to test the application of the JRC-LCI method in case studies and explore its potential implementation in LCI databases. The results showed the potential resource consumption and value loss in different systems, and provided insights into the feasibility of the JRC-LCI method.
INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT
(2023)
Article
Green & Sustainable Science & Technology
Karen Saavedra-Rubio, Nils Thonemann, Eleonora Crenna, Bruno Lemoine, Priscillia Caliandro, Alexis Laurent
Summary: The article discusses the importance of life cycle inventory (LCI) data gathering in life cycle assessment (LCA) studies and presents a stepwise data collection guidance to address the issues of inefficiency, lack of transparency, and inconsistency caused by existing guidelines limitations.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Astronomy & Astrophysics
Rain Kipper, Peeter Tenjes, Elmo Tempel, Roberto de Propris
Summary: The paper discusses the matter distribution models of the Milky Way galaxy and introduces the orbital arc method to account for non-stationarities and massless perturbations. The method is tested on simulation data and applied to the Gaia Data Release 2, confirming a perturbed nature in the acceleration field in the solar neighborhood. The study suggests that stars with larger absolute angular momentum are the main carriers of local perturbations, possibly originating from further away or influenced by nearby fast-moving perturbers such as gas disc inhomogeneities.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2021)
Article
Environmental Sciences
Harald Ulrik Sverdrup, Anna Hulda Olafsdottir
Summary: The study models the global cement and concrete demand, production, supply, and market price using the WORLD7 model under different future scenarios. The main finding is that regulatory limitations on cement production could be imposed due to CO2 contribution, iron usage in construction, and energy use in production. Currently, cement accounts for about 8% of global CO2 emissions and energy use, which is projected to increase in the future. To reduce CO2 emissions, alternative methods such as using mortar instead of concrete and eliminating fossil fuel use for calcination should be considered. The availability of carbon-free energy and iron for reinforcement bars are the long-term limitations for cement production.
WATER AIR AND SOIL POLLUTION
(2023)
Article
Astronomy & Astrophysics
Qingyang Li, Jiaxin Han, Wenting Wang, Weiguang Cui, Zhaozhou Li, Xiaohu Yang
Summary: Using hydrodynamical simulations, researchers studied the dynamic modeling of the underlying gravitational potential of a galaxy cluster with different types of tracers. They found that the halo mass and concentration can be recovered in an ensemble unbiased way, but with stochastic bias reflecting deviations from steady state. Different types of tracers lead to systematic uncertainties in mass and concentration, with intracluster gas showing comparable results to dark matter as tracers.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2021)
Article
Astronomy & Astrophysics
Qingyang Li, Jiaxin Han, Wenting Wang, Weiguang Cui, Federico De Luca, Xiaohu Yang, Yanrui Zhou, Rui Shi
Summary: This study investigates the importance of various dynamical features in predicting the dynamical state of galaxy clusters using the Random Forest machine-learning approach. The research found that the virial ratio eta is the most important single feature, and features related to the centroid positions are more important. A combination of up to three features of different types can already saturate the prediction score.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2022)
Article
Engineering, Civil
Brandon Johns, Elahe Abdi, Mehrdad Arashpour
Summary: Accurate dynamical models are crucial for the development of precise monitoring and control systems in construction and infrastructure projects. However, simplifying assumptions are necessary due to the highly coupled non-linear dynamics of crane systems. This paper compares ten 2D and 3D dynamical models to determine the optimal models that accurately represent boom tower cranes based on crane characteristics and selection criteria. The presented optimal model selection framework assists systems designers in developing accurate crane monitoring and control systems.
ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING
(2023)
Article
Astronomy & Astrophysics
Soumavo Ghosh, Wilma H. Trick, Gregory M. Green
Summary: Action-based dynamical modelling is used to estimate the matter distribution of the Milky Way, but the bar in the galaxy causes non-axisymmetric resonance features. This study systematically analyzes the impact of the bar on action-based modelling by constructing test-particle simulations and applying the RoadMapping framework to different survey volumes. The results show that the method can recover the parameters accurately under small bar parameters, but deviates from the true values as the bar strength increases.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2023)
Article
Mathematics, Applied
Peter Schmelcher
Summary: The model system with superexponential interactions exhibits rich dynamics and properties, with a channel region and two asymptotically free dynamic regions. The scattering functions show structures that can be interpreted in terms of momentum-time maps. Comprehensive analysis is performed on the scattering transition for energies below and above the saddle points. Variants and extensions of the superexponential interaction to many-body systems are briefly discussed.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2021)
Article
Engineering, Biomedical
Md Abu Hanif Shaikh, Kurt Barbe
Summary: Electrosurgery uses electric current to heat, coagulate and ligate tissue. Control of current flow is crucial to avoid tissue damage. Mathematical formulation of current and voltage relationship is necessary for precise control. A block-oriented model is explored to discriminate tissue types, and a weak nonlinearity is found in the measurement data. Fractional order LTI systems are studied to deal with heat diffusion.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Physics, Multidisciplinary
Christoph Georges, Jayson G. Cosme, Hans Kessler, Ludwig Mathey, Andreas Hemmerich
Summary: Theoretical and experimental exploration of the emergence of dynamical density wave (DW) order in a driven dissipative atom-cavity system. The pump strength and modulation frequency can induce different types of orders, corresponding to characteristic momentum spectra, with impacts on light scattering behavior.
NEW JOURNAL OF PHYSICS
(2021)
Article
Engineering, Industrial
Jessica Olivares-Aguila, Waguih ElMaraghy
Summary: Disruptions in the downstream levels of a supply chain have a greater impact on performance and should be given higher priority, while expediting after disruptions does not benefit long-term supply chain performance.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Mechanics
John Holmes, Silvano Sommacal, Zbigniew Stachurski, Raj Das, Paul Compston
Summary: The study combined DIC with mu CT and DVC to assess the deformation and damage of woven composites, showing that differences in loading direction and fiber waviness cause significant differences in surface topography, strain, and internal out-of-plane deformation. The techniques were effective for characterizing woven composite deformation and have potential for improving finite element simulations in the future.
COMPOSITE STRUCTURES
(2022)
Article
Engineering, Multidisciplinary
John Holmes, Silvano Sommacal, Raj Das, Zbigniew Stachurski, Paul Compston
Summary: This study investigates the deformation response of multi-ply woven composites at different angles by combining digital image correlation (DIC) and 3D micro-computed tomography (mu CT). Significant mechanical property variances and topographical/strain differences were observed between orientations due to layer alignment. Additionally, inter-tow and intra-tow shearing during off-axis extension and corresponding fiber reorientation were identified, highlighting the benefits of combining DIC and mu CT.
COMPOSITES PART B-ENGINEERING
(2022)
Article
Materials Science, Composites
John Holmes, Raj Das, Zbigniew Stachurski, Paul Compston
Summary: A technique using digital image correlation (DIC) is proposed to examine the local out-of-plane topography of woven composites, improving defect and damage detection during deformation. Experimental results show additional insight into weave response and defect progression, including edge delamination, local fiber waviness, and undulating weave architecture.
COMPOSITES COMMUNICATIONS
(2022)
Article
Ergonomics
Shah Khalid Khan, Nirajan Shiwakoti, Peter Stasinopoulos
Summary: This study develops a conceptual System Dynamics model to analyze the cybersecurity of complex and uncertain deployment of connected and autonomous vehicles (CAVs). The model integrates six critical aspects and identifies various system archetypes, proposing mitigation steps and the need for policy intervention.
ACCIDENT ANALYSIS AND PREVENTION
(2022)
Article
Energy & Fuels
Seyed Mojib Zahraee, Nirajan Shiwakoti, Peter Stasinopoulos
Summary: The wood based bioenergy industry has been growing rapidly, and this study focuses on investigating the environmental emissions and transportation costs of the woody biomass supply chain. The results show that a combination of truck and train transport with increasing container size and capacity can significantly reduce pollutant emissions and transportation costs.
Article
Green & Sustainable Science & Technology
Di He, Hyung Chul Kim, Robert De Kleine, Vi Kie Soo, Alper Kiziltas, Paul Compston, Matthew Doolan
Summary: This study compares the environmental impact of recycling waste polymer powders on selective laser sintering (SLS) products and injection-molded components based on real-world data. The evaluation methods for environmental burden have a significant influence on the results. Recycling polymer waste can reduce the global warming potential and primary energy demand of the products, highlighting the importance of promoting a circular economy for improving environmental performance.
JOURNAL OF INDUSTRIAL ECOLOGY
(2022)
Article
Optics
V Zinnecker, S. Madden, C. Stokes-Griffin, P. Compston, A. Rode, L. Rapp
Summary: This study investigates large area laser ablation of steel in air at ambient pressure and compares the effects of different pulse durations. It is found that long pulses of 70 ns induce surface damage to the steel, while ultrashort pulses preserve the integrity of the steel structure.
OPTICS AND LASER TECHNOLOGY
(2022)
Review
Green & Sustainable Science & Technology
Yilun Chen, Nirajan Shiwakoti, Peter Stasinopoulos, Shah Khalid Khan
Summary: This study aims to synthesize past research regarding public acceptance attitude toward AVs, covering factors such as driverless technology and uncertainty, road traffic environment changes, policy impact, and findings from AV adoption modelling approaches, in order to understand public attitudes towards AVs.
Article
Mechanics
S. Fazeli, C. Stokes-Griffin, J. Gilbert, P. Compston
Summary: This paper investigates the bend-twist coupling analysis of multi-layered stepped generally orthotropic composite beams subjected to mixed end-of-beam and mid-span supports. An analytical closed-form model was developed, and an experimental investigation was conducted to validate the results. The reliability and accuracy of the analytical model were demonstrated.
COMPOSITE STRUCTURES
(2022)
Article
Engineering, Manufacturing
Mengyuan Li, Chris Stokes-Griffin, Silvano Sommacal, Paul Compston
Summary: This paper presents a model for predicting the change in local fiber angle during post-forming of CF/PA6 thermoplastic tubular structures. The model is validated through experimental measurements and enables the optimization of laminate design for post-formed tubes.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING
(2022)
Article
Chemistry, Analytical
Swapnil Waykole, Nirajan Shiwakoti, Peter Stasinopoulos
Summary: This paper proposes an integration of steady-state dynamic equations and Model Predictive Control-Preview Capability (MPC-PC) strategy to improve the accuracy of lane recognition and tracking in automated cars, especially under challenging scenarios such as occlusion and different lighting conditions. The proposed algorithm achieves a mean detection accuracy ranging from 98.7% to 99% with a detection time of 20 to 22 ms in various driving circumstances.
Article
Ergonomics
Shah Khalid Khan, Nirajan Shiwakoti, Peter Stasinopoulos, Matthew Warren
Summary: Technological advancements in Connected and Automated Vehicles have led to new challenges in the areas of technology, law, and society. The most pressing challenge is deterring criminal behavior through the adoption of cybersecurity protocols and regulations. This study uses systems theory to develop a dynamic modeling tool to analyze the indirect consequences of potential cybersecurity regulations for CAVs in the medium to long term. Decision-makers should focus on leveraging automakers' innovation, sharing risks in cybersecurity, and capitalizing on CAV-generated data.
ACCIDENT ANALYSIS AND PREVENTION
(2023)
Article
Engineering, Electrical & Electronic
Swapnil Waykole, Nirajan Shiwakoti, Peter Stasinopoulos
Summary: Automated vehicles, expected to be fully electric in the future, have the potential to reduce road fatalities and emissions. Lane departure warning systems, a key feature of automated vehicles, rely on lane detection and tracking algorithms. However, researchers face challenges in testing these algorithms due to limited and non-representative datasets. To address this, this study proposes an interpolation approach for quickly generating reliable ground truth data, which outperforms existing methods in terms of time efficiency. This method will be valuable to researchers for testing and evaluating their lane detection and tracking algorithms.
WORLD ELECTRIC VEHICLE JOURNAL
(2023)
Article
Chemistry, Analytical
Yilun Chen, Peter Stasinopoulos, Nirajan Shiwakoti, Shah Khalid Khan
Summary: With the increasing use of automated vehicles (AVs) in the future, it is important to study their impact on mode shift and develop strategies to benefit society. This study developed a system dynamic (SD)-based model to explore the mode shift between conventional vehicles (CVs), AVs, and public transport (PT) in Melbourne, Australia. The findings suggest that AVs will gradually replace CVs, but PT will still play a significant role in the transportation system. Cost, road network capacity, and awareness programs are key factors affecting AV adoption rates.
Article
Transportation
Yilun Chen, Shah Khalid Khan, Nirajan Shiwakoti, Peter Stasinopoulos, Kayvan Aghabayk
Summary: There has been an increasing trend in using user acceptance models to explore the public acceptance of automated vehicles (AVs) in different countries. Most previous studies have focused on perceived usefulness, behavioral attitude, subjective norms, and perceived ease of use, while neglecting important factors such as trust and data privacy. This study aims to assess the behavioral intention to use fully AVs in Australia by extending the Technology Acceptance Model (TAM) to include data privacy and trust. The research reveals that perceived trust and perceived data privacy are the most important variables affecting attitudes, followed by perceived ease of use and usefulness. Perceived data privacy positively impacts attitudes, trust, usefulness, ease of use, and behavioral intentions. Perceived trust mediates the relationship between perceived data privacy and attitudes. The proposed model's major variables, perceived trust, and data privacy, significantly influence attitudes towards AVs, with total effects of 0.637 and 0.604, respectively. Attitude is the most significant factor related to behavioral intentions and acceptance of fully AVs. Gender, age, and income differences were found in public acceptance of AVs through multigroup analysis. The paper discusses theoretical and practical implications.
CASE STUDIES ON TRANSPORT POLICY
(2023)