Simplified stress analysis of functionally graded single-lap joints subjected to combined thermal and mechanical loads

Functionally graded adhesive (FGA) joints involve a continuous variation of the adhesive properties along the overlap allowing for the homogenization of the stress distribution and load transfer, in order to increase the joint strength. The use of FGA joints made of dissimilar adherends under combined mechanical and thermal loads could then be an attractive solution. This paper aims at presenting a 1D-bar and a 1D-beam simplified stress analyses of such multimaterial joints, in order to predict the adhesive stress distribution along the overlap, as a function of the adhesive graduation. The graduation of the adhesive properties leads to differential equations which coefficients can vary the overlap length. For the 1D-bar analyses, two different resolution schemes are employed. The first one makes use of Taylor expansion power series (TEPS) as already published under pure mechanical load. The second one is based on the macro-element (ME) technique. For the 1D-beam analysis, the solution is only based on the ME technique. A comparative study against balanced and unbalanced joint configurations under pure mechanical and/or thermal loads involving constant or graduated adhesive properties are provided to assess the presented stress analyses. The mathematical description of the analyses is provided

A comparison between macro-element and finite element solutions for the stress analysis of functionally graded single-lap joints

The interest in functionally graded adhesive (FGA) joints has been increasing in recent years. For example, FGAs offer the opportunity to optimize the strength of multi-material bonded joints by locally tailoring the adhesive properties and without modifying the design of the adherends to be joined. The development of dedicated stress analyses to predict the stress distribution is then of the highest interest to control the strength of such joints. The Finite Element (FE) method is able to address the stress analysis of FGA joints but is computationally costly. Simplified stress analyses have then been developed. The objective of this paper is to assess the prediction of simplified stress analyses, solved through the macro-element (ME) technique, with respect to those of FE models. It is shown that the predictions of ME models are in a sufficient agreement with the FE models to be employed at a pre-sizing stage. The influence of the overlap length is then investigated by the means of the simplified stress analyses. A noticeable result is the existence of an overlap length for which the adhesive peak shear stress is minimal, in the 1D-bar kinematics framework

Analysis of the crack growth behavior in a double cantilever beam adhesive fracture test using digital image processing techniques

Digital image processing (DIP) techniques offer interesting possibilities in various fields of science.Automated analyses may significantly reduce the necessary manpower for certain cumbersometasks. The analysis of large series of images may be done in less time, since automatedimage processing techniques are able to work efficiently and with constant quality 24h per day.In this work, a series of images obtained by a high-speed camera is analyzed in order to determinethe crack growth behavior during a double cantilever beam (DCB) test [1]. The presentwork represents a contribution to the effort of automatizing the crack growth measurement,comparing various different techniques which may later be optimized for a specific task.Detecting cracks automatically from test images obtained by a digital camera is a difficult task,since the quality of crack images depends on the test conditions. The roughness of the specimensurface, luminance condition, and the camera itself may influence the detection quality.The specimens tested in this work where painted with white colour since this was found to leadto the best contrast for crack detection. High accuracy may only be expected if a sufficientlyhigh resolution is acquired by the camera and if the available lens setup is optimized for thespecific task.The DCB test is performed in order to obtain the experimental compliance-crack length curveof a polymeric adhesive. Accurate and reliable crack length measurement is indispensable forthe generation of the previously mentioned compliance-crack length curves. It should be notedthat due to the lenses used, unlike shown by Ryu [2], the distance to the specimen is higher than800 mm. This distance has to be reduced by the use of a different lens setup in order to get abetter accuracy of the results. Nevertheless a comparison between different DIP methods is possible.Four different algorithms were developed using The MathWorks MatLab, Massachusetts[3] in order to automatically measure the crack length and a comparison of the obtained resultsis made.Algorithm A is based on thresholding [4] each image of the sequence in order to detect thewhite painted region around the crack. In algorithm B, the image sequence is processed by afilter which reinforces horizontal lines such as the crack, and then isolated pixels are removedfrom the images using morphological cleaning [4]. In algorithm C, the first of two consecutiveimages is subtracted from the second one in order to detect the crack as a difference betweenboth images. Algorithm D is based on the optical flow concept developed by Horn [5]. Thebasic idea is to determine the velocity of each pixel in the image when this changes its positionfrom one image to the next in the analyzed sequence, and relate this information to the growing crack

Micro failure analysis of adhesively bonded joints enhanced with natural cork particles: Impact of overlap length and particles volume fraction

In this work, the effects of natural particles on the micro failure mechanisms and static strength of an epoxy are studied using scanning electron microscope (SEM) technique. To this end, bulk specimens and adhesively bonded single lap joints (SLJs) containing different amount of micro cork particles were fabricated and tested. To investigate the toughening mechanisms, the fracture surfaces of the specimens were analyzed using SEM and a magnifying glass. It was shown that the deviation of the crack path and formation of micro-cracks generate multi fracture surfaces which is one of the main sources of energy absorption and resulted in higher fracture energy of the enhanced adhesives. Acting as a crack stopper and consequently stabilizing the crack propagation, prevents developing large and unstable cracks which is another source of energy consumption. However, the micro analysis showed that higher contents of cork lead to agglomeration of the particles which acts as a source of stress concentration, with a higher possibility of delamination between the matrix and the micro corks. Accordingly, there is an optimum amount of cork where the best adhesive fracture toughness is reached. The results showed that the optimum value of micro particles depends on the loading conditions

Micro failure analysis of adhesively bonded joints enhanced with natural cork particles: Impact of overlap length and particles volume fraction

In this work, the effects of natural particles on the micro failure mechanisms and static strength of an epoxy are studied using scanning electron microscope (SEM) technique. To this end, bulk specimens and adhesively bonded single lap joints (SLJs) containing different amount of micro cork particles were fabricated and tested. To investigate the toughening mechanisms, the fracture surfaces of the specimens were analyzed using SEM and a magnifying glass. It was shown that the deviation of the crack path and formation of micro-cracks generate multi fracture surfaces which is one of the main sources of energy absorption and resulted in higher fracture energy of the enhanced adhesives. Corks also acts as a crack stopper, stabilizes the crack propagation and prevents unstable crack growth. However, the micro analysis showed that higher contents of cork lead to agglomeration of the particles which acts as a source of stress concentration, with a higher possibility of delamination between the matrix and the micro corks. Accordingly, there is an optimum amount of cork where the best adhesive fracture toughness is reached. The results showed that the optimum value of micro particles depends on the loading conditions

double-blind crossover study

Background: to evaluate the effects of one week of supplementation with curcumin combined with piperine on physical performance, immune system cell counts, muscle damage, and plasma levels of inflammatory markers after a treadmill running training session. Methods: This study is a double-blind, crossover-balanced clinical trial with a three-week intervention. Sixteen male runners with a mean age of 36 ± 9 years and VO2 max of 60.6 ± 9.03 mL.kg −1 min −1 were recruited and randomly divided into 2 groups: the first group (CPG) was supplemented daily for 7 days with 500 mg of curcumin + 20 mg piperine, and the second group (PG) was supplemented with 540 mg of cellulose. After the 7th day of supplementation, the volunteers participated in the experimental running protocol, where blood samples were collected before, after, and one hour after exercise for analysis of the number of leukocytes, creatine kinase, and cytokine concentration (IL-2, TNF-α, IFN, IL-6, and IL-10) using flow cytometry. This process was repeated, reversing the supplementation offered to the groups. Results: curcumin and piperine supplementation could not change the physical performance, immune cell counts, and muscle damage; however, the aerobic fatiguing exercise protocol inhibited the elevation of the plasmatic levels of some cytokines. The running exercise protocol could elevate the circulating levels of IL-2 (from 49.7 to 59.3 pg/mL), TNF-α (from 48.5 to 51.5 pg/mL), INF (from 128.8 to 165.0 pg/mL), IL-6 (from 63.1 to 77.3 pg/mL), and IL-10 (from 48.9 to 59.6 pg/mL) 1 h after the end of the running protocol. However, the curcumin and piperine supplementation could inhibit this elevation. Conclusions: curcumin and piperine supplementation had no effect on physical performance, immune cell counts, or muscle damage; however, the supplementation could modulate the kinetics of IL-2, TNF-α, INF, IL-6, and IL-10 1 h after the end of exercise.9E1A-F9DD-3EB8 | Filipe Manuel ClementeN/

Estudo da mensuração de um indicador de qualidade em centro cirúrgico: tempo de turnover e nível de desempenho / Study of measurement of a quality indicator in a surgical center: turnover time and performance level

A unidade de centro cirúrgico compõe uma das mais complexas unidades de uma instituição hospitalar, devido, principalmente, aos diversos processos ligados de forma direta ou indireta à realização dos procedimentos cirúrgicos. A elaboração e regulação de indicadores de qualidade específicos aos trabalhos e rotinas dos centros cirúrgicos regulam seu processo de gestão, evidenciando desvios ou apontando pontos que podem ser melhorados na assistência fornecida ou utilização dos recursos. Este estudo busca mensurar a qualidade do funcionamento em centro cirúrgico por meio da avaliação do tempo de turnover nos serviços em cirurgia, classificar o nível de desempenho em ambiente cirúrgico, bem como traçar o perfil dos usuários e das cirurgias realizadas nestas instituições e realizar uma comparação frente ao desempenho entre a instituição pública (fundação hospital Adriano Jorge) e privada (hospital rio negro). 

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio