Institution
University of Architecture, Civil Engineering and Geodesy
Education•Sofia, Bulgaria•
About: University of Architecture, Civil Engineering and Geodesy is a education organization based out in Sofia, Bulgaria. It is known for research contribution in the topics: Finite element method & Beam (structure). The organization has 3808 authors who have published 3822 publications receiving 30736 citations. The organization is also known as: Sofia Polytechnic.
Topics: Finite element method, Beam (structure), Boundary value problem, Nonlinear system, Strain energy release rate
Papers published on a yearly basis
Papers
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TL;DR: In this paper, an approach to increase the integration rate of bipolar heterotransistors is proposed based on doping of required parts of heterostructure by diffusion or implantation and optimization of annealing of dopant and/or radiation defects.
Abstract: In this paper, we introduce an approach to increase integration rate of bipolar heterotransistors. The approach based on doping of required parts of heterostructure by diffusion or implantation and optimization of annealing of dopant and/or radiation defects. As simplification of the considered approach to increase integration rate we consider possibility to used common collector.
13 citations
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TL;DR: The authors investigates the reconfiguration of this relationship, assesses the impact of technology on this re-shaping, and provides a possible answer to the following question: since the arts are becoming increasingly specialized, is a means of artistic expression specifically tailored to built objects still possible?
13 citations
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TL;DR: In this article, an advanced methodology for calculating deflections of reinforced concrete beams with allowance for discrete cracking is presented, which is based on the basic principles of nonlinear deformation model and also takes into account nonlinear concrete and reinforcement behaviour.
13 citations
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TL;DR: In this paper, the typical EAF dusts and pickling sludges and reductant coke powder were mixed in appropriate ratio, and then smelted in a medium frequency induction furnace.
Abstract: The EAF Dusts and pickling sludges generated in the stainless steel production contain a lot of valuable metals such as iron, nickel, chromium and manganese. Their compositions are similar to those of laterite nickel ore, and sometimes even better than that at the contents of nickel and chromium. But it is regret that these valuable resources were random piled up or landed fill disposal. In this paper, the typical EAF dusts and pickling sludges and reductant coke powder were mixed in appropriate ratio, and then smelted in a medium frequency induction furnace. In the smelting process, the lime powder and fluorite was added to fluxing, and the ferrosilicon powder was added to strengthen the reduction. The product nickel-chromium-iron can be used as the raw material for stainless steel or cast iron production. The technology has good social and economic benefits.
13 citations
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TL;DR: Tight upper bounds for γR (G) and bR(G) are obtained provided a graph G is in ℛUV R, and necessary and sufficient conditions for a tree to be in the class ℚUV R are presented.
Abstract: For a graph G = (V,E), a Roman dominating function (RDF) f : V →{0, 1, 2} has the property that every vertex v ∈ V with f(v) = 0 has a neighbor u with f(u) = 2. The weight of a RDF f is the sum f(V ) = Σv∈Vf(v), and the minimum weight of a RDF on G is the Roman domination number γR(G) of G. The Roman bondage number bR(G) of G is the minimum cardinality of all sets F ⊆ E for which γR(G − F) > γR(G). A graph G is in the class ℛUV R if the Roman domination number remains unchanged when a vertex is deleted. In this paper, we obtain tight upper bounds for γR(G) and bR(G) provided a graph G is in ℛUV R. We present necessary and sufficient conditions for a tree to be in the class ℛUV R. We give a constructive characterization of ℛUV R-trees using labelings.
13 citations
Authors
Showing all 3821 results
Name | H-index | Papers | Citations |
---|---|---|---|
Changlun Chen | 75 | 192 | 20080 |
Yu You Li | 63 | 401 | 12761 |
Jun Ma | 54 | 265 | 12987 |
Pieter T. Visscher | 52 | 140 | 11120 |
Alan W. Decho | 47 | 109 | 10456 |
Bin Yang | 40 | 328 | 7040 |
Wendong Wang | 30 | 257 | 4203 |
Mei-yung Leung | 30 | 109 | 2615 |
Li Zhang | 29 | 248 | 3328 |
Vittorio Girotto | 27 | 76 | 3069 |
Vasili Kharchenko | 27 | 78 | 2791 |
Jiaping Liu | 26 | 112 | 1763 |
Aleksander Filarowski | 26 | 87 | 1868 |
Shengwen Tang | 26 | 75 | 1819 |
Rong Chen | 24 | 78 | 1498 |