2,465 research outputs found

    Concrete-encased CFST structures: behaviour and application

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    [EN] Concrete-encased CFST (concrete-filled steel tube) is a kind of composite structure comprised of a CFST component and a reinforced concrete (RC) component. The concrete encased CFST possesses superior ductility and higher stiffness. They are gaining popularity in high-rise buildings, large-span structures, bridges, subway stations and workshops. This paper initially reviews the recent research on concrete-encased CFST structures. The major research findings on bond performance, static performance, dynamic performance and fire resistance are presented. This paper also outlines some construction considerations, such as the utilization of materials, the fabrication of the steel tube, and the methods of casting the inner and outer concrete. Finally, some typical practical projects utilizing concrete-encased CFST members are presented and reviewed.The research reported in this paper is part of the Project 51678341 supported by the National Natural Science Foundation of China (NSFC). The financial support is highly appreciated.Han, L.; Ma, D.; Zhou, K. (2018). Concrete-encased CFST structures: behaviour and application. En Proceedings of the 12th International Conference on Advances in Steel-Concrete Composite Structures. ASCCS 2018. Editorial Universitat Politècnica de València. 1-10. https://doi.org/10.4995/ASCCS2018.2018.7109OCS11

    The impact of artificial intelligence industry agglomeration on economic complexity

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    Artificial intelligence (AI) is a fundamental driver of technological and economic growth. However, few studies have focused on the impact of AI industry agglomeration on economic complexity. This study uses a unique dataset of 2,503,795 AI enterprises in China collected through web crawlers to measure AI industrial agglomeration and examine the relationship between AI industry agglomeration and economic complexity in 194 Chinese cities based on Marshall industry agglomeration theory. The study’s results show that AI industry clustering increases economic complexity. The mechanism analysis indicates that people and knowledge are the channels through which it boosts economic complexity. Unexpectedly, AI industry agglomeration does not improve the economic complexity index (ECI) through the goods path. This study proposes three possible explanations for this result. First, AI industrial clustering may lead to excessive rivalry in China’s intermediate product market. Hence, sharing intermediate inputs has no increasing returns effect. Second, the city’s highend talent is not fairly distributed due to China’s uneven development. Finally, policies drive the formation of China’s AI industrial agglomeration, which does not develop naturally. Consequently, China should implement a talent- and knowledge-driven AI agglomeration. To avoid overcrowding, policies must match regional development

    Progressive amorphization of GeSbTe phase-change material under electron beam irradiation

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    Fast and reversible phase transitions in chalcogenide phase-change materials (PCMs), in particular, Ge-Sb-Te compounds, are not only of fundamental interests, but also make PCMs based random access memory (PRAM) a leading candidate for non-volatile memory and neuromorphic computing devices. To RESET the memory cell, crystalline Ge-Sb-Te has to undergo phase transitions firstly to a liquid state and then to an amorphous state, corresponding to an abrupt change in electrical resistance. In this work, we demonstrate a progressive amorphization process in GeSb2Te4 thin films under electron beam irradiation on transmission electron microscope (TEM). Melting is shown to be completely absent by the in situ TEM experiments. The progressive amorphization process resembles closely the cumulative crystallization process that accompanies a continuous change in electrical resistance. Our work suggests that if displacement forces can be implemented properly, it should be possible to emulate symmetric neuronal dynamics by using PCMs

    Hexaaqua­cobalt(II) 4,4′-(1,2-dihy­droxy­ethane-1,2-di­yl)dibenzoate monohydrate

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    The title compound, [Co(H2O)6](C16H12O6)·H2O, is composed of one 4,4′-(1,2-dihy­droxy­ethane-1,2-di­yl)dibenzoate anion lying on an inversion center, one [Co(H2O)6]2+ dicationic complex and a solvent water mol­ecule located on mirror planes. In the crystal, a chain is constructed via O—H⋯O hydrogen bonds involving the carboxyl­ate and hydroxyl groups of the organic anion; the chains are further connected into a three-dimensional framework by additional O—H⋯O hydrogen bonds between the [Co(H2O)6]2+ cations, solvent water mol­ecules and the anions

    Electrochemically primed functional redox mediator generator from the decomposition of solid state electrolyte.

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    Recent works into sulfide-type solid electrolyte materials have attracted much attention among the battery community. Specifically, the oxidative decomposition of phosphorus and sulfur based solid state electrolyte has been considered one of the main hurdles towards practical application. Here we demonstrate that this phenomenon can be leveraged when lithium thiophosphate is applied as an electrochemically "switched-on" functional redox mediator-generator for the activation of commercial bulk lithium sulfide at up to 70 wt.% lithium sulfide electrode content. X-ray adsorption near-edge spectroscopy coupled with electrochemical impedance spectroscopy and Raman indicate a catalytic effect of generated redox mediators on the first charge of lithium sulfide. In contrast to pre-solvated redox mediator species, this design decouples the lithium sulfide activation process from the constraints of low electrolyte content cell operation stemming from pre-solvated redox mediators. Reasonable performance is demonstrated at strict testing conditions
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