Showing papers by "Brunel University London published in 2022"
TL;DR: In this article, the authors explored the relationship between remote e-working and employee flow experiences by introducing two key stressors; technostress and loneliness, which resulted in lower levels of flow at work.
43 citations
TL;DR: In this article, a review on the historical research on the solute effect on grain refinement in the literature is presented, along with a summary of the factors that hindered progress in the past, key advances made in recent years and some suggestions for future research directions.
41 citations
TL;DR: In this article , the authors discuss the main challenges and enablers of climate-resilient infrastructure and identify how available roadmaps, tools and emerging digital technologies, e.g. Internet of Things, digital twins, point clouds, Artificial Intelligence, Building Information Modelling, can be placed at the service of a safer world.
30 citations
TL;DR: In this article, the effect of key design parameters including geometrical configurations, Reynolds number, and different pitches of twisted elliptical tube and twisted tape insert is analyzed over the Nusselt number, the friction factor, and the PEC (performance evaluation criterion) number.
19 citations
TL;DR: In this article, the authors investigated the variability of urban canyon albedo (UCA) in a typical residential area of London and its impact on outdoor and indoor microclimates.
19 citations
TL;DR: The computational models which predict the dynamic behavior of a helicopter composite sandwich structure undergoing a bird strike are developed and aimed to be used as virtual tools for a future digital-twin-assisted fault detection technique.
18 citations
TL;DR: This study presents a novel digital clone platform to quantify and account for uncertainties that can be detrimental to the reliability of a SHM system.
18 citations
TL;DR: In this paper , the authors present a digital clone platform to quantify and account for uncertainties that can be detrimental to the reliability of a Structural Health Monitoring (SHM) system using Probability of Detection (PoD) curves, which is a common tool for the evaluation of NDT methods.
16 citations
TL;DR: The aim of the problem addressed is to co-design the observer-based endec-decoder and the N -step model predictive controller such that the underlying system is detectable and asymptotically stable.
16 citations
TL;DR: In this article , the authors presented a probabilistic framework based on an artificial neural network (ANN) aiming at the development of fragility curves for circular tunnels in soft soils.
16 citations
TL;DR: In this paper, a hybrid approach is adopted for clustering and identifying the distribution and themes in a large number of publications collected from academic databases, combining machine learning topic modelling and bibliometric analysis.
TL;DR: In this paper, the feasibility of using hydrated cement paste (HCP) as a CO2 sponge was investigated, where grounded HCP were carbonated, calcined and re-carbonated to investigate the potential of CO2 transportation through the use of HCP.
Abstract: In this study, the feasibility of using hydrated cement paste (HCP) as a CO2 sponge was investigated. The grounded HCP were carbonated, calcined and re-carbonated to investigate the potential of CO2 transportation through the use of HCP. Facilitated by the microstructural analysis, the capacity of CO2 sequestration and release via HCP, as well as the carbonation phases formed within the carbonated/calcined/recarbonated cement paste, were investigated. The initial results indicate that HCP could sequestrate CO2 to become carbonated cement paste (HCPcarbonated) with a high CO2 capture ratio, where a number of carbonates formed. After the calcination of HCPcarbonated, the calcined carbonated cement paste (HCPcalcined) was produced and some new phases formed with a large release amount of CO2. In terms of the re-carbonation process, moisture within the HCPcalcined played an important role concerning its re-carbonation efficiency. Finally, by means ofHCP, this research innovatively proposed a new concept to effectively transport CO2, that is, a CO2 sponge, as well as a technology roadmap, to achieve this goal.
TL;DR: In this paper , N-doped lignin-based carbon dots (NLCDs) were used as the support of Pt single atoms for the first time, and isolated Pt atoms can bond with the Pyridinic N of NLCDs to form Pt-N4 coordination structures.
TL;DR: In this paper , the authors find an electron doping dependent variation of magnetic orders of a 2D AFM insulator NiPS3, where doping concentration is tuned by intercalating various organic cations into the van der Waals gaps of NiPS-3 without introduction of defects and impurity phases.
Abstract: To electrically control magnetic properties of material is promising toward spintronic applications, where the investigation of carrier doping effects on antiferromagnetic (AFM) materials remains challenging due to their zero net magnetization. In this work, the authors find electron doping dependent variation of magnetic orders of a 2D AFM insulator NiPS3, where doping concentration is tuned by intercalating various organic cations into the van der Waals gaps of NiPS3 without introduction of defects and impurity phases. The doped NiPS3 shows an AFM-ferrimagnetic (FIM) transition at a doping level of 0.2–0.5 electrons/cell and a FIM-AFM transition at a doping level of ≥0.6 electrons/cell. The authors propose that the found phenomenon is due to competition between Stoner exchange dominated inter-chain ferromagnetic order and super-exchange dominated AFM order at different doping level. The studies provide a viable way to exploit correlation between electronic structures and magnetic properties of 2D magnetic materials for realization of magnetoelectric effect.
TL;DR: In this article, porous coatings in microchannels were used to enhance flow boiling heat transfer in HFE-7200 with a plain, micro-milled copper microchannel heat sink at similar operating conditions.
TL;DR: In this article, the feasibility of the self-treatment process governed by various levels of alkalinity, i.e., sodium hydroxide (NaOH) solution in the geopolymer system, for natural fibers, and the effect of such treatment on the properties of hemp-geopolymer composites was investigated.
TL;DR: In this article , the effect of process parameters on the castability, defect formation and mechanical properties of aluminium alloys in extra-large thin-wall castings with a maximum flow length of 1230 mm in the 2.8 mm thick channel was investigated.
TL;DR: Wang et al. as mentioned in this paper proposed an adaptive memetic differential evolution with multi-niche sampling and neighborhood crossover strategies for global optimization, where the entire population is firstly divided into multiple niches by employing a certain niching strategy at each generation.
TL;DR: In this article, the morphologies of AlP crystals were studied comprehensively by experimental observation and theorical prediction, and it was found that AlP collected from an Al-0.03P melt could be divided into two categories: spinel twin crystals and non-twin crystals.
TL;DR: A comprehensive review of the past few decades and analyses of the theoretical, experimental and numerical studies conducted focused on optimizing the main characters of the system, such as the chimney, collector and Power Conversion Unit (PCU) together with other recently suggested innovative ideas and alternative technologies to improve solar chimney power plants efficiency is provided in this article.
TL;DR: In this paper, a biomimetic actuator consisting of a polyethylene oxide (PEO) layer for hydroscopic actuation and a polyvinylidene fluoride layer for power generation is presented.
TL;DR: In this paper, the authors used the ultrafast synchrotron-X-ray phase-contrast imaging (a combined temporal resolution of 3.68 ms and a spatial resolution of 1.9 mm/pixel) to study the exfoliation dynamics in real time and operando condition.
TL;DR: In this article, the thermal conductivity of perlite cores lies between simple cubic packing and hexagonal close packing, and the dependence of thermal conductivities on five parameters (particle size, intra-particle pore size, porosity, internal gas pressure and contact ratio) was observed and correlated with existing studies in literature.
TL;DR: In this paper, the authors evaluate dioxins, dioxin-like polychlorinated biphenyls (PCBs), organochlorine pesticides (OCPs) and chlorinated paraffins (CPs) concentrations in serum of women (postpartum, pregnant and non-pregnant) from Northern Norway to better understand their exposure and contamination status as well as temporal trends across 2007-2009 (MISA 1) to 2019(MISA 2).
TL;DR: In this paper, the impact of data scales on LCA results regarding global warming, fine particulate matter formation, terrestrial acidification, and freshwater eutrophication potentials was investigated.
Abstract: Life Cycle Assessment (LCA) is a powerful tool for achieving sustainability. Traditional LCAs analyze well defined and developed industrial systems, but recent developments of LCA focus on analyzing emerging technologies which are not yet optimized with respect to energy and materials. Therefore, LCA results of ex-ante applications can be very different from ex-post applications for the same system. The purpose of this study is to show the different effects of data scales on LCA results regarding global warming, fine particulate matter formation, terrestrial acidification and freshwater eutrophication potentials. For this purpose torrefaction technology was selected as the case study and assessed based on bench scale data, lab scale data, data derived from process simulations, pilot scale data and commercial scale data. Considered environmental impacts were global warming, fine particulate matter formation, terrestrial acidification and freshwater eutrophication. Results showed that process efficiencies improved significantly between the bench scale system and systems with higher technology readiness levels (TRLs), such as pilot, process simulations and commercial scale systems. Furthermore, process simulations result in scores closer to commercial scale regarding all considered environmental impacts. However, if LCA practitioners focus only on global warming impact, then pilot scale is also a good alternative. Finally, due to torrefaction technology being relatively simple in terms of raw materials input, we suggest more complex chemical systems to be assessed with LCA in various TRLs.
TL;DR: In this article, a review article gives a brief background of the development of eutectic alloys from binary to senary multicomponent systems, together with an overview of recent development of complex microstructures of aluminium-based multicomponents alloys with five or more constituents at/near euectic compositions.
TL;DR: In this paper , the impact of data scales on LCA results regarding global warming, fine particulate matter formation, terrestrial acidification, and freshwater eutrophication potentials was investigated.
Abstract: Life Cycle Assessment (LCA) is a powerful tool for achieving sustainability. Traditional LCAs analyze well defined and developed industrial systems, but recent developments of LCA focus on analyzing emerging technologies which are not yet optimized with respect to energy and materials. Therefore, LCA results of ex-ante applications can be very different from ex-post applications for the same system. The purpose of this study is to show the different effects of data scales on LCA results regarding global warming, fine particulate matter formation, terrestrial acidification and freshwater eutrophication potentials. For this purpose torrefaction technology was selected as the case study and assessed based on bench scale data, lab scale data, data derived from process simulations, pilot scale data and commercial scale data. Considered environmental impacts were global warming, fine particulate matter formation, terrestrial acidification and freshwater eutrophication. Results showed that process efficiencies improved significantly between the bench scale system and systems with higher technology readiness levels (TRLs), such as pilot, process simulations and commercial scale systems. Furthermore, process simulations result in scores closer to commercial scale regarding all considered environmental impacts. However, if LCA practitioners focus only on global warming impact, then pilot scale is also a good alternative. Finally, due to torrefaction technology being relatively simple in terms of raw materials input, we suggest more complex chemical systems to be assessed with LCA in various TRLs.
TL;DR: In this article , the morphologies of AlP crystals were studied comprehensively by experimental observation and theorical prediction, and it was found that spinel twin and non-twin crystals can be divided into two categories: spinel and nontwin.
TL;DR: In this article , the microstructure and tensile properties of diecast Mg-1.6 wt%La 1.0 wt % Ce alloys with Gd content ranging from 0 wt%, to 3.0 Wt% were investigated.
TL;DR: In this article, the authors explore how the drivers of AI adoption as marketing solutions affect network actors' power dynamics and show that both technology and expertise are key sources of power, and that data creates and perpetuates power negotiations and renegotiations in the network.