7,704 research outputs found
Refined shell elements for the analysis of functionally graded structures
The present paper considers the static analysis of plates and shells made of Functionally Graded Material (FGM), subjected to mechanical loads. Refined models based on the Carrera's Unified Formulation (CUF) are employed to account for grading material variation in the thickness direction. The governing equations are derived from the Principle of Virtual Displacement (PVD) in order to apply the Finite Element Method (FEM). A nine-nodes shell element with exact cylindrical geometry is considered. The shell can degenerate in the plate element by imposing an infinite radius of curvature. The Mixed Interpolation of Tensorial Components (MITC) technique is extended to the CUF in order to contrast the membrane and shear locking phenomenon. Different thickness ratios and orders of expansion for the displacement field are analyzed. The FEM results are compared with both benchmark solutions from literature and the results obtained using the Navier method that provides the analytical solution for simply-supported structures subjected to sinusoidal pressure loads. The shell element based on refined theories of the CUF turns out to be very efficient and its use is mandatory with respect to the classical models in the study of FGM structures
Investor Information, Long-Run Risk, and the Term Structure of Equity
We study the role of information in asset pricing models with long-run cash flow risk. When investors can distinguish short- from long-run consumption risks (full information), the model generates a sizable equity risk premium only if the equity term structure slopes up, contrary to the data. In general, the short- and long-run components are unidentified. We propose a sparsity-based bounded rationality model of long-run risk that is both parsimonious and fully identified from historical data. In contrast to full information, the model generates a sizable market risk premium simultaneously with a downward sloping equity term structure, as in the data.
Micro-Raman spectroscopy, a powerful technique allowing sure identification and complete characterization of asbestiform minerals
Micro-Raman spectroscopy has been applied to fibrous minerals regulated as "asbestos"- anthophyllite, actinolite, amosite, crocidolite, tremolite, and chrysotile-responsible of severe diseases affecting mainly, but not only, the respiratory system. The technique proved to be powerful in the identification of the mineral phase and in the recognition of particles of carbonaceous materials (CMs) lying on the "asbestos" fibers surface. Also, erionite, a zeolite mineral, from different outcrops has been analyzed. To erionite has been ascribed the peak of mesothelioma noticed in Cappadocia (Turkey) during the 1970s. On the fibers, micro-Raman spectroscopy allowed to recognize many grains, micrometric in size, of iron oxy-hydroxides or potassium iron sulphate, in erionite from Oregon, or particles of CMs, in erionite from North Dakota, lying on the crystal surface. Raman spectroscopy appears therefore to be the technique allowing, without preparation of the sample, a complete characterization of the minerals and of the associated phases
An easy and convenient method for maintenance of embryogenic cultures of Vitis vinifera
Research Note
Environmental and economic impact of retrofitting techniques to prevent outâofâplane failure modes of unreinforced masonry buildings
This paper presents an innovative methodology to assess the economic and environmental impact of integrated interventions, namely solutions that improve both structural and energy performance of existing masonry buildings, preventing outâofâplane modes and increasing their energy efficiency. The procedure allows the assessment of the environmental and the economic normalized costs of each integrated intervention, considering seismic and energyâsaving indicators. In addition, the work introduces in relative or absolute terms two original indicators, associated with seismic displacement and thermal transmittance. The isoâcost curves so derived are thus a powerful tool to compare alternative solutions, aiming to identify the most advantageous one. In fact, isoâcost curves can be used with a twofold objective: to determine the optimal integrated intervention associated with a given economic/environmental impact, or, as an alternative, to derive the pairs of seismic and energy performance indicators associated with a given budget. The analysis of a somehow relevant case study reveals that small energy savings could imply excessive environmental impacts, disproportionally increasing the carbon footprint characterizing each intervention. Isoâcost curves in terms of absolute indicators are more suitable for assessing the effects of varying acceleration demands on a given building, while isoâcost curves in terms of relative indicators are more readable to consider a plurality of cases, located in different sites. The promising results confirm the effec-tiveness of the proposed method, stimulating further studies
Analysis of the structure, transcripts, and protein products of bcl-2, the gene involved in human follicular lymphoma.
Investor Information, Long-Run Risk, and the Duration of Risky Cash Flows
We study the role of information in asset pricing models with long-run cash ow risk.
To illustrate the importance of the information structure, we show how the implications of the long run risk paradigm for the cross-sectional properties of stock returns and cash flow duration are affected by information. When investors can fully distinguish short and long-run consumption risk components of dividend growth innovations (full information), only
exposure to long-run consumption risk generates significant risk premia, implying that high return value stocks are long-duration assets, contrary to the historical data. By contrast,when investors observe the change in consumption and dividends each period but not the individual components of that change (limited information), exposure to short-run risk can
generate large risk premia, so that high-return value stocks are short-duration assets while low-return growth stocks are long-duration assets, as in the data. We also show that, in order to explain empirical finding that long-horizon equity is less risky than short-horizon equity,
the properties of the cash ow model and the values of primitive preference parameters must be quite different from those emphasized in the existing long-run risk literature
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