Academic literature on the topic 'Open time-like curve'
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Journal articles on the topic "Open time-like curve"
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Kanta Mukherjee, Nalini. "Analytic description of flame intrinsic instability in one-dimensional model of open–open combustors with ideal and non-ideal end boundaries." International Journal of Spray and Combustion Dynamics 10, no. 4 (August 27, 2018): 287–314. http://dx.doi.org/10.1177/1756827718795518.
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This paper is concerned with the theoretical study of thermo-acoustic instabilities in combustors and focuses upon recently discovered flame intrinsic modes. Here, a complete analytical description of the salient properties of intrinsic modes is provided for a linearized one-dimensional model of open–open combustors with temperature and cross-section jump across the flame taken into account. The standard [Formula: see text] model of heat release is adopted, where n is the interaction index and τ is the time lag. We build upon the recent key finding that for a closed–lopen combustor, on the neutral curve, the intrinsic mode frequencies become completely decoupled from the combustor parameters like cross-section jump, temperature jump and flame location. Here, we show that this remarkable decoupling phenomenon holds not only for closed–open combustors but also for all combustors with the ideal boundary conditions (i.e. closed–open, open–open and closed–closed). Making use of this decoupling phenomenon for the open–open combustors, we derive explicit analytic expressions for the neutral curve of intrinsic mode instability on the [Formula: see text] plane as well as for the linear growth/decay rate near the neutral curve taking into account temperature and cross-section jumps. The instability domain on the [Formula: see text] plane is shown to be qualitatively different from that of the closed–open combustor; in open–open combustors it is not confined for large τ. To find the instability domain and growth rate characteristics for non-ideal open–open boundaries the combustor end boundaries are perturbed and explicit analytical formulae derived and verified by numerics.
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Johnson, Luke J., Charlotte M. Norris, Yvonne C. Unruh, Sami K. Solanki, Natalie Krivova, Veronika Witzke, and Alexander I. Shapiro. "Forward modelling of Kepler-band variability due to faculae and spots." Monthly Notices of the Royal Astronomical Society 504, no. 4 (April 29, 2021): 4751–67. http://dx.doi.org/10.1093/mnras/stab1190.
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ABSTRACT Variability observed in photometric light curves of late-type stars (on time-scales longer than a day) is a dominant noise source in exoplanet surveys and results predominantly from surface manifestations of stellar magnetic activity, namely faculae and spots. The implementation of faculae in light-curve models is an open problem, with scaling typically based on spectra equivalent to hot stellar atmospheres or assuming a solar-derived facular contrast. We modelled rotational (single period) light curves of active G2, K0, M0, and M2 stars, with Sun-like surface distributions and realistic limb-dependent contrasts for faculae and spots. The sensitivity of light-curve variability to changes in model parameters such as stellar inclination, feature area coverage, spot temperature, facular region magnetic flux density, and active band latitudes is explored. For our light-curve modelling approach we used actress, a geometrically accurate model for stellar variability. actress generates two-sphere maps representing stellar surfaces and populates them with user-prescribed spot and facular region distributions. From this, light curves can be calculated at any inclination. Quiet star limb darkening and limb-dependent facular contrasts were derived from MURaM 3D magnetoconvection simulations using ATLAS9. 1D stellar atmosphere models were used for the spot contrasts. We applied actress in Monte Carlo simulations, calculating light-curve variability amplitudes in the Kepler band. We found that, for a given spectral type and stellar inclination, spot temperature and spot area coverage have the largest effect on variability of all simulation parameters. For a spot coverage of $1{{\ \rm per\ cent}}$, the typical variability of a solar-type star is around 2 parts per thousand. The presence of faculae clearly affects the mean brightness and light-curve shape, but has relatively little influence on the variability.
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Dinis, Ana, Filipe Alves, Cátia Nicolau, Cláudia Ribeiro, Manfred Kaufmann, Ana Cañadas, and Luís Freitas. "Social structure of a population of bottlenose dolphins (Tursiops truncatus) in the oceanic archipelago of Madeira, Portugal." Journal of the Marine Biological Association of the United Kingdom 98, no. 5 (May 30, 2017): 1141–49. http://dx.doi.org/10.1017/s0025315417000650.
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In order to investigate social structure, 11 years of individual photo-identification data of bottlenose dolphin were analysed. We examined the type of association indices between pairs of identified individuals; the patterns of affiliation between individual dolphins and the probabilities of association between individuals over time. Between 2001 and 2012, there were 272 encounters which resulted in the identification of 501 individuals. The discovery curve resulting from the photo-identification analysis indicated an open population with regular recruitment of new individuals. All individuals were found to be associated at an association index of <0.05. A total of 291 individuals recorded from 2004 to 2012 were used to assess the temporal pattern of the social structure. The model fit to the Standardized Lagged Association Rate (SLAR) that best described the studied bottlenose dolphin population was ‘casual acquaintances’, and the analysis of associations over time showed a decreasing SLAR curve that falls until reaching the null rate, confirming random associations. The decline of the SLAR curve after ~500 days (1.4 years) suggests disassociation over that time period which can be explained by demographic events such as mortality or emigration. In an open ocean habitat like Madeira this is not unexpected, as there are neither geographic boundaries nor enclosed environments. This population presented a dynamic and fluctuating social structure, where groups change in size and composition. In future conservation efforts this population should be considered as one large community, where individuals associate, disassociate and reassociate with each other over time.
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Grzegorzewski, Jan, Janosch Brandhorst, Kathleen Green, Dimitra Eleftheriadou, Yannick Duport, Florian Barthorscht, Adrian Köller, Danny Yu Jia Ke, Sara De Angelis, and Matthias König. "PK-DB: pharmacokinetics database for individualized and stratified computational modeling." Nucleic Acids Research 49, no. D1 (November 5, 2020): D1358—D1364. http://dx.doi.org/10.1093/nar/gkaa990.
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Abstract A multitude of pharmacokinetics studies have been published. However, due to the lack of an open database, pharmacokinetics data, as well as the corresponding meta-information, have been difficult to access. We present PK-DB (https://pk-db.com), an open database for pharmacokinetics information from clinical trials. PK-DB provides curated information on (i) characteristics of studied patient cohorts and subjects (e.g. age, bodyweight, smoking status, genetic variants); (ii) applied interventions (e.g. dosing, substance, route of application); (iii) pharmacokinetic parameters (e.g. clearance, half-life, area under the curve) and (iv) measured pharmacokinetic time-courses. Key features are the representation of experimental errors, the normalization of measurement units, annotation of information to biological ontologies, calculation of pharmacokinetic parameters from concentration-time profiles, a workflow for collaborative data curation, strong validation rules on the data, computational access via a REST API as well as human access via a web interface. PK-DB enables meta-analysis based on data from multiple studies and data integration with computational models. A special focus lies on meta-data relevant for individualized and stratified computational modeling with methods like physiologically based pharmacokinetic (PBPK), pharmacokinetic/pharmacodynamic (PK/PD), or population pharmacokinetic (pop PK) modeling.
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Duc Tran, Anh-Minh, Huu Hoa Tran, and Viet Hung Tran. "Evaluating the Impact of Social Distancing on COVID-19 Spread in Vietnam by using Logistic Growth Curve Model." Journal of Advanced Engineering and Computation 5, no. 3 (September 30, 2021): 177. http://dx.doi.org/10.55579/jaec.202153.328.
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The regular increase in COVID-19 cases and deaths has resulted in a worldwide lockdown, quarantine and some restrictions. Due to the lack of a COVID-19 vaccine, it is critical for developing and least developed countries like Vietnam to investigate the efficacy of non-pharmaceutical treatments like social distance or national lockdown in preventing COVID-19 transmission. To address this need, the goal of this study was to develop a clear and reliable model for assessing the impact of social distancing on the spread of coronavirus in Vietnam. For the case study, the Logistic Growth Curve (LGC) model, also known as the Sigmoid model, was chosen to fit COVID-19 infection data from January 23, 2020 to April 30, 2020 in Vietnam. To determine the optimal set of LGC model parameters, we used the gradient descent technique. We were pleasantly surprised to discover that the LGC model accurately predicted COVID-19 community transmission cases over this time period, with very high correlation coefficient value r = 0.993. The results of this study imply that using social distancing technique to flatten the curve of coronavirus disease infections will help minimize the surge in active COVID-19 cases and the spread of COVID-19 infections. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium provided the original work is properly cited.
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Eftekhari, T., E. Berger, B. D. Metzger, T. Laskar, V. A. Villar, K. D. Alexander, G. P. Holder, J. D. Vieira, N. Whitehorn, and P. K. G. Williams. "Extragalactic Millimeter Transients in the Era of Next-generation CMB Surveys." Astrophysical Journal 935, no. 1 (August 1, 2022): 16. http://dx.doi.org/10.3847/1538-4357/ac7ce8.
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Abstract The next generation of wide-field cosmic microwave background (CMB) surveys are uniquely poised to open a new window into time-domain astronomy in the millimeter band. Here, we explore the discovery phase space for extragalactic transients with near-term and future CMB experiments to characterize the expected population. We use existing millimeter-band light curves of known transients (gamma-ray bursts, tidal disruption events, fast blue optical transients (FBOTs), neutron star mergers) and theoretical models, in conjunction with known and estimated volumetric rates. Using Monte Carlo simulations of various CMB survey designs (area, cadence, depth, duration) we estimate the detection rates and the resulting light-curve characteristics. We find that existing and near-term surveys will find tens to hundreds of long-duration gamma-ray bursts (LGRBs), driven primarily by detections of the reverse shock emission, and including off-axis LGRBs. Next-generation experiments (CMB-S4, CMB-HD) will find tens of FBOTs in the nearby universe and will detect a few tidal disruption events. CMB-HD will additionally detect a small number of short gamma-ray bursts, where these will be discovered within the detection volume of next-generation gravitational wave experiments like the Cosmic Explorer.
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Ando, M., and Jacob Sukumaran. "Tribological behavior of composite-steel on rolling/sliding contacts for various loads." International Journal Sustainable Construction & Design 2, no. 1 (November 6, 2011): 29–34. http://dx.doi.org/10.21825/scad.v2i1.20432.
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Composites have replaced metals in the bearing industry for the exclusive performances from itsproperties were it can accommodate resins, fabrics and additives. Roll-slip is common behaviors inapplication were non-conformal contact exhibits like bearings, rollers and cams. Two elements control thetribological behavior of the material which is the rolling and the sliding element. Composite-steel contactswere tested using a twin-disc setup with open tribo-system to study the influence of load on the frictionalbehavior of the polymer composites. The contacts were tested with four different loads under 20% slip ratiofor a regular interval of time. The curves from the friction force with respect to different loads follows atendency of linear increase in friction force were the rolling resistance is the dominating mechanism. For thegiven condition the macro level investigations shows the absence of transfer layer on the steelcounterparts. The tendency of the friction curve and the micrograph explicitly deliberates the involvement ofabrasion and adhesion in the harder polymer from metal counterpart. The temperature variable is isolatedin case of the above research. The examination of the contact surface reveals the formation of craters onthe junction of polymer and textile.
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Calatrava, Carlos Garcia, Yolanda Becerra Fontal, Fernando M. Cucchietti, and Carla Diví Cuesta. "NagareDB: A Resource-Efficient Document-Oriented Time-Series Database." Data 6, no. 8 (August 13, 2021): 91. http://dx.doi.org/10.3390/data6080091.
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The recent great technological advance has led to a broad proliferation of Monitoring Infrastructures, which typically keep track of specific assets along time, ranging from factory machinery, device location, or even people. Gathering this data has become crucial for a wide number of applications, like exploration dashboards or Machine Learning techniques, such as Anomaly Detection. Time-Series Databases, designed to handle these data, grew in popularity, becoming the fastest-growing database type from 2019. In consequence, keeping track and mastering those rapidly evolving technologies became increasingly difficult. This paper introduces the holistic design approach followed for building NagareDB, a Time-Series database built on top of MongoDB—the most popular NoSQL Database, typically discouraged in the Time-Series scenario. The goal of NagareDB is to ease the access to three of the essential resources needed to building time-dependent systems: Hardware, since it is able to work in commodity machines; Software, as it is built on top of an open-source solution; and Expert Personnel, as its foundation database is considered the most popular NoSQL DB, lowering its learning curve. Concretely, NagareDB is able to outperform MongoDB recommended implementation up to 4.7 times, when retrieving data, while also offering a stream-ingestion up to 35% faster than InfluxDB, the most popular Time-Series database. Moreover, by relaxing some requirements, NagareDB is able to reduce the disk space usage up to 40%.
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Darolia, Aman, and Rajender Singh Chhillar. "Analyzing Three Predictive Algorithms for Diabetes Mellitus Against the Pima Indians Dataset." ECS Transactions 107, no. 1 (April 24, 2022): 2697–704. http://dx.doi.org/10.1149/10701.2697ecst.
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Diabetes mellitus is a metabolic disease in which the pancreas fails to produce enough insulin required for the processing of blood glucose. Most medical institutions analyze Electronic Health Records (EHRs) manually and then predict whether the patient is diabetic or not. The objective of this work is to classify diabetes and non-diabetes patients using predictive algorithms/techniques. These algorithms provide cost, time, and effort-effective solutions for the prognosis and diagnosis of diabetes mellitus. In this work, popular algorithms like Artificial Neural Network (ANN), Random Forest (RF), and Logistic Regression (LR) have been used against the PIMA Indians. Dataset and analysis has been carried out on open-source software WEKA. In addition, this paper provided state-of-the-art by various researchers related to the said topic. This work concluded that LR outperforms other algorithms, with the accuracy of 77.10%, but in the case of area under the curve (0.83), both LR and RF perform equally well.
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Bu, Ling, Shengjiang Quan, Jiarong Han, Feng Li, Qingzhao Li, and Xiaohong Wang. "On-Site Traversal Fractional Open Circuit Voltage with Uninterrupted Output Power for Maximal Power Point Tracking of Photovoltaic Systems." Electronics 9, no. 11 (October 29, 2020): 1802. http://dx.doi.org/10.3390/electronics9111802.
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The fractional open-circuit voltage (FOCV) method is commonly adopted to track maximal power point of photovoltaic systems due to easy implementation and cost-effectiveness. However, the FOCV method is confronted with unstable output power and limited tracking accuracy. This paper proposes a novel on-site traversal FOCV method with uninterrupted output power and increased tracking accuracy through simulation and experimental verifications. Each solar cell is connected with a bypass diode and switching circuitry, so that specific solar cell can be traced and measured consecutively for determining its maximal power point (MPP). MATLAB/Simulink simulation results show that, in the time-varying irradiance case, the proposed method achieves a low ripple factor of 0.13% in 11–13 h and 0.88% in 9–15 h, under the typical 24 h irradiance curve. In the spatial-varying irradiance case, the accuracy of the proposed method reaches 99.85%. Compared with other FOCV methods, like pilot cell and semi pilot cell methods, the proposed method is of higher accuracy with a limited ripple effect. Experimental results show that this method can effectively trace different output performance of specific solar cell while generating stable output voltage with a low ripple factor of 1.55%, proving its compatibility with distributed sensing and applicability in smart photovoltaic systems.
Dissertations / Theses on the topic "Open time-like curve"
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Themeẞl, Nathalie. "Asteroseismic inferences from red-giant stars." Doctoral thesis, 2018. http://hdl.handle.net/11858/00-1735-0000-002E-E5F1-E.
Full textBook chapters on the topic "Open time-like curve"
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Atkins, Peter. "Grand Designs: Synthesis." In Reactions. Oxford University Press, 2011. http://dx.doi.org/10.1093/oso/9780199695126.003.0035.
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In this final reaction I am going to show you in the broadest of outlines how chemists build the equivalent of a cathedral. That is, how they synthesize a complicated molecule from scratch. The aim of a synthesis is to take a reasonably readily available laboratory chemical and process it—add bits on, take things off, close rings of atoms, open rings, build flying buttresses, and so on—until the target compound has been made. You could take the view that you should really start from absolute scratch, from the elements themselves, typically hydrogen, carbon, nitrogen, and oxygen, and build the molecule from those. However, that would be a waste of time and not crucial to the demonstration of the synthetic route because it is possible to argue that there are already plenty of methods for synthesizing the simple starting materials from scratch, and the real challenge is to build the intricate molecule. That is rather like accepting that a contractor can supply windows, bricks, and beams when constructing a real house and that it isn’t necessary to go all the way back to the sand, clay, and iron ore from which they are made to demonstrate that the house can be built literally from the ground up. Of course, the starting materials in a modern chemical synthesis might seem a bit recondite, but be assured that they are reasonably acceptable and purchasable from suppliers of laboratory reagents or easily made from what they do supply. Now for the particular cathedral on which I intend to focus. That scourge of humanity, malaria (‘bad air’), was introduced into the New World in the fifteenth century and soon wrought the havoc that had for long, and still, afflicts millions. The natives there found that an extract of the bark of the quina-quina tree, in due course to be classified as Cinchona Officinalis, was an effective cure, in particular having saved the life of the Countess of Cinchona. In due course the active component, quinine, was identified and extracted.
Conference papers on the topic "Open time-like curve"
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Johnson, L. R., M. D. Byrne, and M. K. O’Malley. "Comparison of Performance Metrics for Real-Time Haptic Feedback in Surgical Skill Training." In The Hamlyn Symposium on Medical Robotics: "MedTech Reimagined". The Hamlyn Centre, Imperial College London London, UK, 2022. http://dx.doi.org/10.31256/hsmr2022.63.
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Endovascular surgery involves minimally invasive sur- gical techniques that can result in significantly shorter operation times and hospital stays, lower complication rates, less blood loss, and lower rates of postoperative mechanical ventilation and atrial fibrillation than the equivalent open procedures [1], [2]. Repeated practice is central to skill acquisition, and minimally invasive procedures like endovascular surgery may require more or specialized practice compared to traditional surgery. For example, despite known benefits of endovascular aortic valve replacement compared to traditional surgical methods, Smith et al. attributed observations of higher rates of stroke, transient ischemic attacks, and major vascular complications to a protracted learning curve for the endovascular approach [3]. Virtual reality endovascular surgical simulators can be loaded with a patient’s pre-operative CT scan, enabling rehearsal of difficult cases before operating. Simulators are also accessible to trainees, giving opportunities for additional practice in navigating to hard-to-reach vas- cular structures, or exposure to rare procedures. Still, surgical simulators lack the provision of real-time and objective performance feedback. Instead, feedback is only available after the completion of a surgical task, and often does not provide the trainee with insight into how they should change their task performance strategies to achieve performance goals. Objective measures of skill derived from endovascular guidewire movement kinematics that characterize tool tip movement smoothness have been shown to correlate with expertise [4], [5]. Such metrics have not yet been used during training as real-time performance feedback, despite evidence that providing feedback can improve training outcomes [6]. Our approach to providing real-time performance feed- back during surgical skill training is intended to address this gap. We propose to use estimates of spectral arc length (SPARC), idle time, and average velocity to quantify task performance, then encode these measures as vibrotactile cues displayed to trainees in a wearable haptic device (see Fig. 1).
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Iseni, Senad, Derek Micallef, and Ronald Mailach. "Investigation of Inlet Distortion on the Flutter Stability of a Highly Loaded Transonic Fan Rotor." In ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/gt2016-56593.
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The fundamental mechanisms of blade flutter in modern aircraft engines are very complex. Flutter is a self-excited aeroelastic instability phenomenon which can finally cause material fatigue and, in the worst case, leads to blade failure within a very short time. The risk of flutter has to be considered during the design process and it is necessary to avoid that safety risk. The aeroelastic stability has to be ensured over the whole operating range especially near operating limits or typical flutter boundaries, like at stall or choke conditions. Topic of this paper are inlet distortions, which can have an additional influence on the flutter stability of the fan and the first compressor stages of jet engines. For this purpose a sinusoidal steady total pressure inlet distortion was defined. The influence of this inlet distortion on the flow field and the flutter stability of a highly loaded transonic fan rotor (NASA rotor 67) is investigated. The static deflection of the manufactured blade was considered using an accurate mesh morphing algorithm to update the fan performance characteristic considering the deformed blade structure. The fan rotor interacts with the upstream distorted flow which leads to different blade loading between the adjacent blades. A decoupled flutter stability analysis using the three-dimensional viscous flow solver TBLOCK and the open-source software package CalculiX for pre-stressed modal analyses is carried out. The flutter stability analyses with TBLOCK are performed using the so-called energy method which was introduced by Carta. In order to predict the flutter stability under clean inflow conditions, two different formulations, the Influence Coefficient Method (ICM) and Traveling Wave Mode (TWM) formulation, are taken into account, whereas both formulations are compared to each other. The influence coefficients were directly calculated from the TWM formulation to determine the required number of passages for the ICM. It can be seen that the stability curves obtained with the ICM are in a good agreement to the TWM-method. The use of ICM reduces substantially the number of unsteady CFD calculations because of the fact that only one unsteady CFD calculation is needed to reconstruct the stability curve for each eigenmode and operating point. The effect of inlet distortion on flutter stability is investigated applying the TWM formulation only. Indeed, it was established that such flow disturbances have also for specific blades, considering the operating point, eigenmode and nodal diameter a destabilising impact on their aeroelastic behavior and can cause flutter, which is mostly determined by the time-averaged stability parameter. Just in the same manner a positive effect was observed for certain blades in the blade row.
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"Experimental Research on the Bearing Capacity of the Widening Segment of Precast Small Box Girder." In Structural Health Monitoring. Materials Research Forum LLC, 2021. http://dx.doi.org/10.21741/9781644901311-37.
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Abstract: Widening the existing expressway is an important way to solve the problems like road traffic congestion and level of service declining in the existing highway network. Besides, for the highway with large traffic volume and lack of detour roads, it is inevitable to open to traffic at the same time of construction. Taking a 20 m precast small box girder bridge widening project as the research object, the ABAQUS finite element entity model of the whole bridge and full-scale segment experiment is established, and the boundary conditions and loading force values of the segment model are determined by the similarity analysis. The numerical simulation calculation of the deflection difference between both sides of the joint and the joint reinforcement strain of the full-scale segment test model is performed, and results are compared with the experimental measured values, so as to verify the rationality of the finite element model. Moreover, this research further studies the shear transfer mechanism and bearing capacity of concrete joints with the finite element calculation, and the force-displacement curve of concrete joint loading in whole process is calculated. According to results, the early strength of concrete develops rapidly, while the deflection difference on both sides of the joint drops rapidly, and the deflection difference basically remains unchanged after 8 hours of casting. The shear transfer of joint concrete in the overall analysis model and section test model develops rapidly in the early stage, since then tends to be stable gradually. Results of the bearing capacity test describe that when the bottom reinforcement of the joint reaches the tensile strength and the deflection of the joint increases rapidly, the ultimate bearing capacity could be reached, and the most unfavorable part of the test joint could bear 17 times of 55t wheel load. It is demonstrated that the traffic control scheme of closing and widening the joint adjacent to the lane in the first three days could ensure the reliable casting performance of the concrete joint when the traffic is not interrupted. The research results would provide technical guidance for the design and construction of the same type of bridge.
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Shahriari, Arjang, Mark Hermes, and Vaibhav Bahadur. "Dynamic and Controlled Tuning of the Boiling Curve During Quenching." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-65866.
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Boiling influences many industrial processes like quenching, desalination and steam generation. Boiling heat transfer at high temperatures is limited by the formation of a vapor layer between the solid and fluid. Low thermal conductivity of this vapor layer inhibits heat transfer. Electrowetting (EW) fields can breakdown this vapor layer to promote wetting, and this concept works for many quenching media including water and organic solvents. This work studies the suppression of this vapor layer and measures the resulting heat transfer enhancement during quenching of metals. We image the fluid-surface interactions and boiling patterns in the presence of an electrical voltage. EW fields replace film boiling with periodic wetting-rewetting cycles and thus fundamentally change the heat transfer mode. The increased wettability substantially reduces the cool down time. The cooling rate can by increased by as much as 3X. The results show that electric fields can dynamically tune the classical quenching curve. This study opens up new avenues to control the metallurgy of metals via electrical control of the cooling rate.
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Oosterhuis, Kas, and Arwin Hidding. "Participator, A Participatory Urban Design Instrument." In International Conference on the 4th Game Set and Match (GSM4Q-2019). Qatar University Press, 2019. http://dx.doi.org/10.29117/gsm4q.2019.0008.
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A point cloud of reference points forms the programmable basis of a new method of urban and architectural modeling. Points in space from the smallest identifiable units that are informed to communicate with each other to form complex data structures. The data are visualized as spatial voxels [3d pixels] as to represent spaces and volumes that maintain their mutual relationships under varying circumstances. The subsequent steps in the development from point cloud to the multimodal urban strategy are driven by variable local and global parameters. Step by step new and more detailed actors are introduced in the serious design game. Values feeding the voxel units may be fixed, variables based on experience, or randomly generated. The target value may be fixed or kept open. Using lines or curves and groups of points from the original large along the X, Y and Z-axes organized crystalline set of points are selected to form the shape of actual working space. The concept of radical multimodality at the level of the smallest grain requires that at each stage in the design game individual units are addressed as to adopt a unique function during a unique amount of time. Each unit may be a home, a workplace, a workshop, a shop, a lounge area, a school, a garden or just an empty voxel anytime and anywhere in the selected working space. The concept of multimodality [MANIC, K Oosterhuis, 2018] is taken to its extreme as to stimulate the development of diversity over time and in its spatial arrangement. The programmable framework for urban multimodality acknowledges the rise and shine of the new international citizen, who travels the world, lives nowhere and everywhere, inhabits places and spaces for ultrashort, shorter or longer periods of time, lives her/his life as a new nomad [New Babylon, Constant Nieuwenhuys, 1958]. The new nomad lives on her/his own or in groups of like-minded people, effectuated by setting preferences and choices being made via the ubiquitous multimodality app, which organizes the unfolding of her / his life. In the serious design game nomadic life is facilitated by real time activation of a complex set of programmable monads. Playing and further developing the design journey was executed in 4 workshop sessions with different professional stakeholders, architects, engineers, entrepreneurs and project developers.