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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
11

Crack growth based FEM with embedded discontinuities / Spricktillväxtbaserad FEM med inbäddade diskontinuiteter

Lindblom, David January 2021 (has links)
In recent years there have been a major developments in the computational mechanics community when it comes to modelling of fracture mechanics. There are now several well established numerical methods that are implemented in commercial programs such as: Phase Field Modelling, Enhanced Assumed Strain (EAS), Smeared Crack Methods, Extended Finite Element Method (XFEM) and Partition of Unity Finite Element Method (PUFEM). This work has been based on PUFEM and it has been of interest to investigate if this numerical method can be combined with plastic deformation. The reason for this is that it has been known that complex structural and material phenomenon such as embrittlement of steels or composites show a variation of fracture toughness. Thus more advanced approaches are required to capture the response of such structures and materials. The analysis was split in to three parts. First, a benchmark analysis was done with linear tetrahedral elements and, which has been implemented in previous applications. Thereafter the same analysis was done for quadratic tetrahedral elements. Finally, the interface between plasticity and PUFEM was implemented and was analysed with the same geometries as in the benchmark case. The analysis show that it is possible to combine plasticity in PUFEM setting and that it has a possibility to be used in future applications. / Under dem senaste åren har det skett en massiv utveckling inom beräkningsmekaniken när det kommer till att modellera brottmekaniska fenomen. Det finns nu ett flertal väletablerade numeriska metoder som är implementerade i kommersiella program såsom: Phase Field Modelling, Enhanced Assumed Strain (EAS), Smeared Crack Methods, Extended Finite Element Method (XFEM) and Partition of Unity Finite Element Method (PUFEM). Detta arbete har fokuserat på (PUFEM) och det har varit av intresse att se om denna metod kan kombineras tillsammans med plastisk deformation. Anledningen till att detta har varit av intresse är på grund av att det finns ett flertal komplexa struktur - och materialfenomen såsom försprödning av stål och kompositer som uppvisar en variation i sin duktilitet. Detta medför att mer avancerade metoder behöver tillämpas för att fånga responsen av dessa strukturer och material. Analysen som har genomförts var uppdelad i tre delar. Först analyserades ett problem med linjär tetrahedriska element som ett riktmärke, detta har implementerats i tidigare applikationer. Därefter analyserades samma problem fast med tethraderiska element med kvadratisk interpolation. Slutligen så integrerades plasticitet med PUFEM, där samma geometrier analyserades som riktmärke. Den analysen som har genomfört visar att det går att kombinera plastiska deformation tillsammans med PUFEM och att denna metod har potentialen att användas i framtida applikationer.
12

FE Analysis of axial-bearing in large fans : FE analys av axialkullager i stora fläktar

Hjalmarsson, Joel, Memic, Anes January 2010 (has links)
<p>Detta examensarbete har utförts på Fläktwoods AB i Växjö, som producerar stora axialfläktar för olika industriapplikationer. Syftet är att öka kunskapen om fettsmorda axiella kullager genom FE analyser.</p><p>Projektet har genomförts i fem delsteg för att avgöra påverkan av en eller några få parametrar i taget. De studerade parametrarna är: elementstorlek, kontaktstyvhet, last, lagergeometri (dvs. oskulation), ickelinjär geometri och ickelinjära materialegenskaper (dvs. plasticitet).</p><p>Slutsatsen är att elementstorleken bör väljas fint nog för att ge ett jämnt resultat men grovt nog för att beräkningstiden skal vara rimlig. Kontaktstyvheten har inte stor, men tydlig, inverkan på kontakttrycket och penetrationen. Förändringar av oskulationen leder till förändringar i kontaktellipsens form medan olika laster inte påverkar formen på ellipsen, utan snarare storleken. När det handlar om plasticitet är sträckgränsen den viktigaste faktorn att beakta.</p> / <p>This thesis project was carried out at Fläktwoods AB in Växjö who produces large axial fans for different industry applications. The purpose is to increase the knowledge of grease lubricated axial ball bearings through FE analyses.</p><p>The project was executed into five sub steps to determine the influence of one or few parameters at a time. The studied parameters are: mesh density, contact stiffness, load, bearing geometry (i.e. osculation), geometrical nonlinearity and material nonlinearity (i.e. plasticity).</p><p>It is concluded that the mesh density should be selected fine enough to give a smooth result but course enough to give a reasonable calculation time. The contact stiffness has not a major, but a clear, impact on the contact pressure and penetration. Changes of the osculation lead to changes of the contact ellipse shape and applying different load level does not affect the shape of the ellipse but rather the size. When dealing with plasticity the yield strength is the most important factor to take in consideration.</p>
13

FE Analysis of axial-bearing in large fans : FE analys av axialkullager i stora fläktar

Hjalmarsson, Joel, Memic, Anes January 2010 (has links)
Detta examensarbete har utförts på Fläktwoods AB i Växjö, som producerar stora axialfläktar för olika industriapplikationer. Syftet är att öka kunskapen om fettsmorda axiella kullager genom FE analyser. Projektet har genomförts i fem delsteg för att avgöra påverkan av en eller några få parametrar i taget. De studerade parametrarna är: elementstorlek, kontaktstyvhet, last, lagergeometri (dvs. oskulation), ickelinjär geometri och ickelinjära materialegenskaper (dvs. plasticitet). Slutsatsen är att elementstorleken bör väljas fint nog för att ge ett jämnt resultat men grovt nog för att beräkningstiden skal vara rimlig. Kontaktstyvheten har inte stor, men tydlig, inverkan på kontakttrycket och penetrationen. Förändringar av oskulationen leder till förändringar i kontaktellipsens form medan olika laster inte påverkar formen på ellipsen, utan snarare storleken. När det handlar om plasticitet är sträckgränsen den viktigaste faktorn att beakta. / This thesis project was carried out at Fläktwoods AB in Växjö who produces large axial fans for different industry applications. The purpose is to increase the knowledge of grease lubricated axial ball bearings through FE analyses. The project was executed into five sub steps to determine the influence of one or few parameters at a time. The studied parameters are: mesh density, contact stiffness, load, bearing geometry (i.e. osculation), geometrical nonlinearity and material nonlinearity (i.e. plasticity). It is concluded that the mesh density should be selected fine enough to give a smooth result but course enough to give a reasonable calculation time. The contact stiffness has not a major, but a clear, impact on the contact pressure and penetration. Changes of the osculation lead to changes of the contact ellipse shape and applying different load level does not affect the shape of the ellipse but rather the size. When dealing with plasticity the yield strength is the most important factor to take in consideration.
14

Effekten av predatorinducerade morfologiska förändringar hos Rana temporaria / The effect of predatorinduced morphological changes in Rana temporaria

Tjärnlund Norén, Lindy January 2017 (has links)
Phenotypic plasticity is the ability of an organism to express different phenotypes depending on the biotic or abiotic environment. In many cases, the response to the environment is beneficial to the individual and can therefore represent adaptive phenotypic plasticity. An example includes morphological and life-historical response to predators. Because there has been a weak interest in the effect of these morphological changes, and it often assumes, but rarely shown, that predator-induced changes are adaptive. I tested how different variables, such as maximum acceleration and velocity, were related to each other in different Gosner stages. Eggs and tadpoles of the species Rana temporaria were exposed to various predator enclosures, a control, a stalking predator (European Perch, Perca fluviatilis), and an ambush predator (dragonfly larvae). The tadpoles mean weight, maximum acceleration and velocity, mobility, boldness, and morphological changes in various Gosner stages were analyzed. My tests showed a significant difference in tadpole weight and their morphology, however, there were no differences in speed, acceleration, boldness or mobility. The morphometric analysis of the tadpoles showed a significant change of tadpoles in the perch treatment compared to the tadpoles in the control. The tadpoles in the perch treatment showed a higher TH/TL (tail height/tail length) ratio, and were overall heavier, than the tadpoles in the control, but no significant change compared to the tadpoles in the dragonfly treatment. This shows that the kairomones and alarm cues triggered a large morphological change, but the effect of the change requires more research.
15

Development of Methodology for Finite Element Simulation of Overhead Guard Impact Test / Utveckling av metodik för finita elementsimulering av skyddstak utsatt för fallprov

Hallén, Axel, Hjorth, Jacob January 2022 (has links)
Forklifts that are capable of lifting heavy loads and reaching high lift heights are required by stan-dards to have an overhead guard to protect the operator from falling objects. The same standardsspecify a standardized procedure for testing the strength of these overhead guards. The test in-volves dropping ten 45 kg wooden cubes and a heavy timber load onto the overhead guard. Thesedestructive tests are time-consuming and expensive, and it is the purpose of this master’s thesis todevelop a methodology for simulating this kind of test using the finite element method with a largedisplacements, explicit scheme using the solver RADIOSS by Altair. This was achieved by firstdesigning, constructing, and testing a physical prototype of an overhead guard to use as a referencefor a finite element methodology to be validated against. The work has also included tensile testingof the overhead guard material, and this was done both to obtain material data from the sametype of material as the prototype, and to get Johnson-Cook material parameters, which are hardto come by in the literature. Next, a basic finite element model was created which showed a verylarge discrepancy compared to the physical test results. An extensive investigation into aspectssurrounding finite element modeling and material modeling was undertaken, and resulted in a fi-nal model which overestimated the displacements by about 40 % only. The remaining inaccuracyis believed to mostly stem from inadequate strain-rate sensitivity data, caused by limitations inavailable resources for material testing.
16

Modelling synaptic rewiring in brain-like neural networks for representation learning / Modellering av synaptisk omkoppling i hjärnliknande neurala nätverk för representationsinlärning

Bhatnagar, Kunal January 2023 (has links)
This research investigated the concept of a sparsity method inspired by the principles of structural plasticity in the brain in order to create a sparse model of the Bayesian Confidence Propagation Neural Networks (BCPNN) during the training phase. This was done by extending the structural plasticity in the implementation of the BCPNN. While the initial algorithm presented two synaptic states (Active and Silent), this research extended it to three synaptic states (Active, Silent and Absent) with the aim to enhance sparsity configurability and emulate a more brain-like algorithm, drawing parallels with synaptic states observed in the brain. Benchmarking was conducted using the MNIST and Fashion-MNIST dataset, where the proposed threestate model was compared against the previous two-state model in terms of representational learning. The findings suggest that the three-state model not only provides added configurability but also, in certain low-sparsity settings, showcases similar representational learning abilities as the two-state model. Moreover, in high-sparsity settings, the three-state model demonstrates a commendable balance between accuracy and sparsity trade-off. / Denna forskning undersökte en konceptuell metod för gleshet inspirerad av principerna för strukturell plasticitet i hjärnan för att skapa glesa BCPNN. Forskningen utvidgade strukturell plasticitet i en implementering av BCPNN. Medan den ursprungliga algoritmen presenterade två synaptiska tillstånd (Aktiv och Tyst), utvidgade denna forskning den till tre synaptiska tillstånd (Aktiv, Tyst och Frånvarande) med målet att öka konfigurerbarheten av sparsitet och efterlikna en mer hjärnliknande algoritm, med paralleller till synaptiska tillstånd observerade i hjärnan. Jämförelse gjordes med hjälp av MNIST och Fashion-MNIST datasetet, där det föreslagna tre-tillståndsmodellen jämfördes med den tidigare tvåtillståndsmodellen med avseende på representationslärande. Resultaten tyder på att tre-tillståndsmodellen inte bara ger ökad konfigurerbarhet utan också, i vissa lågt glesa inställningar, visar samma inlärningsförmåga som två-tillståndsmodellen. Dessutom visar den tre-tillståndsmodellen i högsparsamma inställningar en anmärkningsvärd balans mellan noggrannhet och avvägningen mellan sparsitet.
17

Attractor Neural Network modelling of the Lifespan Retrieval Curve

Pereira, Patrícia January 2020 (has links)
Human capability to recall episodic memories depends on how much time has passed since the memory was encoded. This dependency is described by a memory retrieval curve that reflects an interesting phenomenon referred to as a reminiscence bump - a tendency for older people to recall more memories formed during their young adulthood than in other periods of life. This phenomenon can be modelled with an attractor neural network, for example, the firing-rate Bayesian Confidence Propagation Neural Network (BCPNN) with incremental learning. In this work, the mechanisms underlying the reminiscence bump in the neural network model are systematically studied. The effects of synaptic plasticity, network architecture and other relevant parameters on the characteristics of the reminiscence bump are systematically investigated. The most influential factors turn out to be the magnitude of dopamine-linked plasticity at birth and the time constant of exponential plasticity decay with age that set the position of the bump. The other parameters mainly influence the general amplitude of the lifespan retrieval curve. Furthermore, the recency phenomenon, i.e. the tendency to remember the most recent memories, can also be parameterized by adding a constant to the exponentially decaying plasticity function representing the decrease in the level of dopamine neurotransmitters. / Människans förmåga att återkalla episodiska minnen beror på hur lång tid som gått sedan minnena inkodades. Detta beroende beskrivs av en sk glömskekurva vilken uppvisar ett intressant fenomen som kallas ”reminiscence bump”. Detta är en tendens hos äldre att återkalla fler minnen från ungdoms- och tidiga vuxenår än från andra perioder i livet. Detta fenomen kan modelleras med ett neuralt nätverk, sk attraktornät, t ex ett icke spikande Bayesian Confidence Propagation Neural Network (BCPNN) med inkrementell inlärning. I detta arbete studeras systematiskt mekanismerna bakom ”reminiscence bump” med hjälp av denna neuronnätsmodell. Exempelvis belyses betydelsen av synaptisk plasticitet, nätverksarkitektur och andra relavanta parameterar för uppkomsten av och karaktären hos detta fenomen. De mest inflytelserika faktorerna för bumpens position befanns var initial dopaminberoende plasticitet vid födseln samt tidskonstanten för plasticitetens avtagande med åldern. De andra parametrarna påverkade huvudsakligen den generella amplituden hos kurvan för ihågkomst under livet. Dessutom kan den s k nysseffekten (”recency effect”), dvs tendensen att bäst komma ihåg saker som hänt nyligen, också parametriseras av en konstant adderad till den annars exponentiellt avtagande plasticiteten, som kan representera densiteten av dopaminreceptorer.
18

Exploring Column Update Elimination Optimization for Spike-Timing-Dependent Plasticity Learning Rule / Utforskar kolumnuppdaterings-elimineringsoptimering för spik-timing-beroende plasticitetsinlärningsregel

Singh, Ojasvi January 2022 (has links)
Hebbian learning based neural network learning rules when implemented on hardware, store their synaptic weights in the form of a two-dimensional matrix. The storage of synaptic weights demands large memory bandwidth and storage. While memory units are optimized for only row-wise memory access, Hebbian learning rules, like the spike-timing dependent plasticity, demand both row and column-wise access of memory. This dual pattern of memory access accounts for the dominant cost in terms of latency as well as energy for realization of large scale spiking neural networks in hardware. In order to reduce the memory access cost in Hebbian learning rules, a Column Update Elimination optimization has been previously implemented, with great efficacy, on the Bayesian Confidence Propagation neural network, that faces a similar challenge of dual pattern memory access. This thesis explores the possibility of extending the column update elimination optimization to spike-timing dependent plasticity, by simulating the learning rule on a two layer network of leaky integrate-and-fire neurons on an image classification task. The spike times are recorded for each neuron in the network, to derive a suitable probability distribution function for spike rates per neuron. This is then used to derive an ideal postsynaptic spike history buffer size for the given algorithm. The associated memory access reductions are analysed based on data to assess feasibility of the optimization to the learning rule. / Hebbiansk inlärning baserat på neural nätverks inlärnings regler används vid implementering på hårdvara, de lagrar deras synaptiska vikter i form av en tvådimensionell matris. Lagringen av synaptiska vikter kräver stor bandbredds minne och lagring. Medan minnesenheter endast är optimerade för radvis minnesåtkomst. Hebbianska inlärnings regler kräver som spike-timing-beroende plasticitet, både rad- och kolumnvis åtkomst av minnet. Det dubbla mönstret av minnes åtkomsten står för den dominerande kostnaden i form av fördröjning såväl som energi för realiseringen av storskaliga spikande neurala nätverk i hårdvara. För att minska kostnaden för minnesåtkomst i hebbianska inlärnings regler har en Column Update Elimination-optimering tidigare implementerats, med god effektivitet på Bayesian Confidence Propagation neurala nätverket, som står inför en liknande utmaning med dubbel mönster minnesåtkomst. Denna avhandling undersöker möjligheten att utöka ColumnUpdate Elimination-optimeringen till spike-timing-beroende plasticitet. Detta genom att simulera inlärnings regeln på ett tvålagers nätverk av läckande integrera-och-avfyra neuroner på en bild klassificerings uppgift. Spike tiderna registreras för varje neuron i nätverket för att erhålla en lämplig sannolikhetsfördelning funktion för frekvensen av toppar per neuron. Detta används sedan för att erhålla en idealisk postsynaptisk spike historisk buffertstorlek för den angivna algoritmen. De associerade minnesåtkomst minskningarna analyseras baserat på data för att bedöma genomförbarheten av optimeringen av inlärnings regeln.
19

Signal Transduction: Dopamine D1 receptor-induced signaling cascades in the striatum in Parkinson's disease

Maslava, Natallia January 2012 (has links)
Parkinsons sjukdom är en av de vanligaste progressiva neurodegenerativa sjukdomer som drabbar upp till tio miljoner människor i världen. Sjukdomen orsakas av död av de nervceller som producerar signalämnet dopamin. För att kompensera bristen på dopamin, får patienter läkemedlet levodopa som är en precursor för dopamin. Men tyvärr leder denna behandling till ett ännu svårare tillstånd – levodopa-inducerad dyskinesi (LID). Dyskinesier innebär onormala ofrivilliga rörelser. För att förstå mekanismer som orsakar LID har djurmodeller utvecklats som simulerar Parkinsons sjukdom. Många studier har påpekat att LID uppstår på grund av ökad fosforylering av extracellulära signalreglerade kinaser 1 och 2 (ERK1/2). Det är viktigt att förstå hur ERK1/2 aktiveras vid Parkinsons sjukdom via dopaminreceptorer på cellmembranet hos nervceller i striatum för att utveckla någon rimlig behandling av LID eller för att förhindra det tillståndet. Syftet med denna studie var att undersöka signalvägar som induceras av dopamin D1-receptorn i vävnadsprov från regionen striatum i hjärnan från lesionerade råttor. Nivån av fosforylation ERK1/2 mättes med hjälp av Western blot. Genom att blockera målmolekyler kunde olika signalvägar blockeras, och resultaten tyder på att det finns tydliga förändringar i dopamin D1-receptor inducerade signalvägar. Aktivering av dopamin D1 receptor inducerade fosforylering av ERK1/2, dopamin D1-receptor inducerad fosforylering av ERK1/2 visade sig att vara beroende av calcium signalering, och det var möjligt att reglera fosforylering av ERK1/2 via signalväg som är inducerad av Grupp 1 metabotropiska glutamatreceptorer. Projektet är inte slutfört och fler målmolekyler behöver testas för att dra definitiva slutsatser om hur signalvägarna interagerar med varandra och hur man på ett effektivt sätt kan reglera dessa. Under arbetets gång hade Western blot-tekniken förbättrats och optimiserats. / Parkinson's disease is one of the most common neurodegenerative diseases affecting up to ten million people worldwide. The disease is caused by the death of neurons that produce the neurotransmitter dopamine. To compensate the lack of dopamine, patients are treated with levodopa, a precursor of dopamine. Levodopa invariably causes a troublesome complication in the form of unwanted involuntary movements known as “levodopa-induced dyskinesia”. Many studies have pointed out that levodopa-induced dyskinesia occurs due to increased phosphorylation of extracellular signal regulated kinases 1 and 2 (ERK1/2). It is important to understand how ERK1/2 is activated in Parkinson's disease by dopamine receptors in order to develop a reasonable treatment for LID or to prevent this condition in levodopa-treatment of Parkinsonian patients. The aim of this study was to investigate the pathways induced by the dopamine D1 receptor in striatal “slices” from parkinsonian rats. The level of phosphorylation of ERK1/2 (pERK 1/2) was measured by Western blot. Along the pathways leading to the activation of pERK 1/2 different target molecules were blocked. The clear alterations in the dopamine D1 induced signaling pathways were observed. Activation of the dopamine D1 receptor induced phosphorylation of ERK1/2, the dopamine D1 receptor-mediated increase of pERK was shown to be dependent on calcium signaling, and the DA D1 receptor-induced phosphorylation of ERK1/2 was possible to modulate via Group 1 metabotropic glutamate receptor pathway. The project is to be continued in the future and more target molecules should be tested in order to draw definite conclusions about how these signaling pathways interact with each other and how to regulate them effectively. During the project, Western blot technique was improved and optimized for the future experiments of the present study.
20

From Snow White to Frozen : An evaluation of popular gender representation indicators applied to Disney’s princess films / Från Snövit till Frost : En utvärdering av populära könsrepresentations-indikatorer tillämpade på Disneys prinsessfilmer

Nyh, Johan January 2015 (has links)
Simple content analysis methods, such as the Bechdel test and measuring percentage of female talk time or characters, have seen a surge of attention from mainstream media and in social media the last couple of years. Underlying assumptions are generally shared with the gender role socialization model and consequently, an importance is stated, due to a high degree to which impressions from media shape in particular young children’s identification processes. For young girls, the Disney Princesses franchise (with Frozen included) stands out as the number one player commercially as well as in customer awareness. The vertical lineup of Disney princesses spans from the passive and domestic working Snow White in 1937 to independent and super-power wielding princess Elsa in 2013, which makes the line of films an optimal test subject in evaluating above-mentioned simple content analysis methods. As a control, a meta-study has been conducted on previous academic studies on the same range of films. The sampled research, within fields spanning from qualitative content analysis and semiotics to coded content analysis, all come to the same conclusions regarding the general changes over time in representations of female characters. The objective of this thesis is to answer whether or not there is a correlation between these changes and those indicated by the simple content analysis methods, i.e. whether or not the simple popular methods are in general coherence with the more intricate academic methods. / <p>Betyg VG (skala IG-VG)</p>

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