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Instituto Superior de Engenharia de Lisboa

About: Instituto Superior de Engenharia de Lisboa is a based out in . It is known for research contribution in the topics: Catalysis & Higgs boson. The organization has 754 authors who have published 2396 publications receiving 38394 citations. The organization is also known as: ISEL.


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Journal ArticleDOI
TL;DR: In this article, theoretical and phenomenological aspects of two-Higgs-doublet extensions of the Standard Model are discussed and a careful study of spontaneous CP violation is presented, including an analysis of the conditions which have to be satisfied in order for a vacuum to violate CP.

2,395 citations

Journal ArticleDOI
TL;DR: In this paper, the use of fine recycled concrete aggregates to partially or globally replace natural fine aggregates (sand) in the production of structural concrete is discussed, and the results of the following tests are reported: compressive strength, split tensile strength, modulus of elasticity and abrasion resistance.
Abstract: This paper concerns the use of fine recycled concrete aggregates to partially or globally replace natural fine aggregates (sand) in the production of structural concrete. To evaluate the viability of this process, an experimental campaign was implemented in order to monitor the mechanical behaviour of such concrete. The results of the following tests are reported: compressive strength, split tensile strength, modulus of elasticity and abrasion resistance. From these results, it is reasonable to assume that the use of fine recycled concrete aggregates does not jeopardize the mechanical properties of concrete, for replacement ratios up to 30%.

809 citations

Journal ArticleDOI
TL;DR: In this paper, different concrete mixes with increasing rates of substitution of fine natural aggregates with fine recycled aggregates from crushed concrete were prepared and tested, and the results were then compared with those for a reference concrete with exactly the same composition and grading curve, but with no recycled aggregate, drawing some conclusions on the feasibility of using this type of aggregate in structural concrete.
Abstract: Fine recycled aggregates are seen as the last choice in recycling for concrete production. Many references quote their detrimental influence on the most important characteristics of concrete: compressive and tensile strength; modulus of elasticity; water absorption; shrinkage; carbonation and chloride penetration. These two last characteristics are fundamental in terms of the long-term durability of reinforced or prestressed concrete. In the experimental research carried out at IST, part of which has already been published, different concrete mixes (with increasing rates of substitution of fine natural aggregates – sand – with fine recycled aggregates from crushed concrete) were prepared and tested. The results were then compared with those for a reference concrete with exactly the same composition and grading curve, but with no recycled aggregates. This paper presents the main results of this research for water absorption by immersion and capillarity, chloride penetration (by means of the chloride migration coefficient), and carbonation resistance, drawing some conclusions on the feasibility of using this type of aggregate in structural concrete, while taking into account any ensuing obvious positive environmental impact.

516 citations

Journal ArticleDOI
TL;DR: In this paper, cloud-resolving model (CRM) simulations and parallel single-column model (SCM) tests of the sensitivity of moist atmospheric convection to mid-tropospheric humidity are presented.
Abstract: As part of the EUROCS (EUROpean Cloud Systems study) project, cloud-resolving model (CRM) simulations and parallel single-column model (SCM) tests of the sensitivity of moist atmospheric convection to midtropospheric humidity are presented. This sensitivity is broadly supported by observations and some previous model studies, but is still poorly quantified. Mixing between clouds and environment is a key mechanism, central to many of the fundamental differences between convection schemes. Here, we define an idealized quasi-steady ‘testbed’, in which the large-scale environment is assumed to adjust the local mean profiles on a timescale of one hour. We then test sensitivity to the target profiles at heights above 2 km. Two independent CRMs agree reasonably well in their response to the different background profiles and both show strong deep precipitating convection in the more moist cases, but only shallow convection in the driest case. The CRM results also appear to be numerically robust. All the SCMs, most of which are one-dimensional versions of global climate models (GCMs), show sensitivity to humidity but differ in various ways from the CRMs. Some of the SCMs are improved in the light of these comparisons, with GCM improvements documented elsewhere. © Crown copyright, 2004.

455 citations

Journal ArticleDOI
TL;DR: In this article, a neural network approach for forecasting short-term electricity prices is proposed. But the authors focus on the short term and do not consider the long-term forecast of electricity prices, and use a three-layered feed-forward neural network for forecasting next-week electricity prices.

402 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20223
2021168
2020159
2019190
2018175
2017175