1,720,970 research outputs found
Cement treated recycled crushed concrete and masonry aggregates for pavements
This research is focusing on the characterization of the mechanical and deformation properties of cement treated mixtures made of recycled concrete and masonry aggregates (CTMiGr) in relation to their mixture variables. An extensive laboratory investigation was carried out, in which the mechanical properties of CTMiGr and the deformation characteristics relevant to shrinkage crack susceptibility were evaluated. The main aim of this research is to develop models which allow the structural properties of CTMiGr to be estimated from its mixture composition. These models are then used to develop a mixture optimization tool for CTMiGr taking into account the requirements that have to be set to the material in structural pavement designs. To realize the research objective, firstly a series of tests were conducted on CTMiGr mixtures which varied in composition. The test program comprised of measuring compression, indirect tension and deformation properties of CTMiGr mixtures. The recycled construction and demolition materials used in this study were recycled masonry aggregate (RMA) and recycled concrete aggregate (RCA) which are used for unbound granular bases/sub-bases in the Netherlands. For a good understanding of the influence of the mixture variables on the properties of CTMiGr, four important mixture variables (ratio of amount of RMA to RCA by mass, cement content, degree of compaction and curing time) were selected to be taken into account in an elaborate experimental program. The experimental results gave insight into the influences of the different mixture variables on the structural properties of CTMiGr. They showed that the mechanical properties and deformation behavior of CTMiGr depend on the mixture proportioning of CTMiGr. It was possible to develop accurate models to estimate the structural properties of CTMiGr from the mixture variables. It is noteworthy that the RMA content in CTMiGr strongly determines its mechanical and deformation properties. Due to the presence of the low-strength RMA, failure of CTMiGr originates either through the RMA particles or in cracks and discontinuities in the internal structure (the matrix) or in the bonding layer between aggregates and matrix. This will depend on the mixture variables. Numerical work using a lattice model further demonstrated that if the tensile strength of RMA is higher than 1.0 MPa, its contribution to the strength of CTMiGr becomes less important. Finally, by implementing a comprehensive analysis of the structural properties of CTMiGr, some guidelines have been given for its mixture optimization. In this way the mixture design of CTMiGr can be optimally related to the characteristics of the designed pavement structure. If in a pavement the vertical compressive stresses at the top of the CTMiGr layer are low, crushing that might occur at the top of the CTMiGr layer is not an issue. In that case it is preferred to design the CTMiGr mixture by lowering the cement content, enhancing the degree of compaction and increasing the RMA content. On the other hand, when the vertical compressive stresses at the top of the CTMiGr layer are high, it is recommended to decrease the RMA content as well as to adjust the cement content and the degree of compaction. In all cases increasing the degree of compaction is beneficial.Structural EngineeringCivil Engineering and Geoscience
Some Aspects of Low Content Mono- and Hybrid-Fibre Reinforced Cementitious Composites
Civil Engineering and Geoscience
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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