Purpose: The aim of this degree project is to control the set-up for a longer period by means of the workplace at the use of the total station for then comparing calculated outcomes with real outcomes. Method: A combination of both quantitative and qualitative studies have been used in this degree project, consisting of literature studies and a case study including interviews, document analyzes, site visits and measurements. The case study is based on an ongoing project in the municipality of Nassjo, where a skate park is constructed and whose soil consists of peat. Preload in the form of overload has been applied. Findings: The result indicates the occurrence of a difference between calculated outcome and actual outcome regarding set rate and time course when using preload in the form of overload. The deviation is about 20 cm. Preload in the form of overload is a good method for peat land, but it is unlikely to be remarkably improved by vertical drainage. Implications: In view of the measurements produced by the authors, this shows that the method of loading in the form of overload on peat field works, however, gives the calculation model which has been used to be uncertain. The result described in more detail regarding vertical drainage on peat fields will not accelerate the process because the peat is already well drained. This means that it will cost extra without benefiting from the method. Limitations: The work has limited to two reinforcement methods on peat fields. A case study has been limited to only one area. There was preload in the form of overload, whose soil material consists of peat. Keywords: Peat, Permeability, Preloading in the form of overload, settlements, total station, vertical drainage, water quota. / Syfte: Syftet med detta examensarbete är att kontrollera sättningen under en längre period genom mätningar som skett på arbetsplatsen vid användning av totalstation för sedan kunna jämföra beräknat utfall med verkligt utfall. Metod: En kombination av både kvantitativa och kvalitativa studier har använts i detta examensarbete, bestående av litteraturstudier och en fallstudie inbegripande intervjuer, dokumentanalyser samt platsbesök och mätningar. Fallstudien grundar sig i ett pågående projekt i Nässjö kommun där det byggs en skatepark vars jordmaterial består av torv och där förbelastning i form av överlast har tillämpats. Resultat: Resultatet indikerar på förekomsten av en skillnad mellan beräknat utfall och verkligt utfall gällande sättningshastighet och tidsförlopp vid användning av förbelastning i form av överlast. Avvikelsen ligger på ungefär 20 cm. Förbelastning i form av överlast är en bra metod för torvmark men att det sannolikt inte anmärkningsvärt går att förbättra genom vertikaldränering. Konsekvenser: Med hänsyn till de mätresultat som rapportförfattarna har bringat fram visar detta att metoden förbelastning i form av överlast på torvmark fungerar, dock ger beräkningsmodellen som har använts osäkra resultat. Resultatet som beskrivs mer detaljerat gällande vertikaldränering på torvmark kommer inte påskynda processen eftersom torven redan är väl dränerad d.v.s. porerna är genomträngliga och vattnet kan lätt rinna ut vid användning av förbelastning i form av överlast. Detta innebär att det kommer medföra extra kostnader utan att få nytta av metoden. Begränsningar: Arbetet har begränsats till två förstärkningsmetoder på torvmark. En fallstudie har begränsats till endast ett område, där förbelastning i form av överlast utförs på jordmaterial som består av torv. Nyckelord: Förbelastning i form av överlast, permeabilitet, sättningar, Torv, totalstation, vertikaldränering, vattenkvot.

Les travaux de thèse présentés dans ce manuscrit portent sur l’étude d’électrodes de silicium, matériau prometteur pour remplacer le graphite en tant que matériau actif d’électrode négative pour accumulateur Li-ion. Les mécanismes de (dé)lithiation du silicium sont d’abord étudiés, par Spectroscopie des Electrons Auger (AES). En utilisant cette technique de caractérisation de surface, qui permet d’analyser les particules individuellement dans leur environnement d’électrode, nos résultats montrent que la première lithiation du silicium s’effectue selon un mécanisme biphasé cr-Si / a-Li3,1Si tandis que les processus de (dé)lithiation suivants apparaissent complètement différents et sont du type solution solide. Ces mécanismes d’insertion / désinsertion du lithium conduisent à des variations volumiques importantes des particules de matériau actif lors du cyclage, à l’origine d’une détérioration rapide des performances électrochimiques. En combinant plusieurs techniques de caractérisation, les mécanismes de dégradation d’une électrode de silicium sont étudiés au cours du vieillissement. En utilisant en particulier la spectroscopie d’impédance électrochimique et des analyses par porosimétrie mercure, une véritable dynamique de la porosité de l’électrode est mise en évidence lors du cyclage. Un modèle de dégradation, mettant en cause principalement l’instabilité de la Solid Electrolyte Interphase (SEI) à la surface des particules de silicium, est proposé. Pour tenter de stabiliser cette couche de passivation et ainsi améliorer les performances électrochimiques des électrodes de silicium, l’influence de deux paramètres est étudiée : l’électrolyte et le « domaine de lithiation » du silicium, ce dernier paramètre étant associé à l’évolution de la composition du matériau actif lors du cyclage. A l’issue de ces travaux, des performances prometteuses sont obtenues pour des accumulateurs Li-ion comprenant une électrode de silicium. / The work presented here focuses on electrodes made of silicon, a promising material to replace graphite as an anode active material for Li-ion Batteries (LIBs). The first part of the manuscript is dedicated to the study of silicon (de)lithiation mechanisms by Auger Electron Spectroscopy (AES). By using this technique of surface characterization, which allows investigating individual particles in their electrode environment, our results show that the first silicon lithiation occurs through a two-phase region mechanism cr-Si / a-Li3,1Si, whereas the following (de)lithiation steps are solid solution type process. Upon (de)alloying with lithium, silicon particles undergo huge volume variations leading to a quick capacity fading. By combining several techniques of characterization, the failure mechanisms of a silicon electrode are studied during aging. In particular, by using electrochemical impedance spectroscopy and mercury porosimetry analyses, an impressive dynamic upon cycling of the electrode porosity is shown. A model, which mainly attributes the capacity fading to the Solid Electrolyte Interphase instability at the silicon particles surface, is proposed. To try to stabilize this passivation layer and thus improve silicon electrodes electrochemical performances, the influence of two parameters is studied: the electrolyte and the “lithiation domain” of silicon; the latter is associated with the evolution of the active material composition upon cycling. Finally, by using these last results, promising performances are obtained for silicon electrode containing LIBs.

Abstract This thesis discusses strengthening foundations of historic buildings by means of pretested, end-jacked, steel piles; pretested, end-jacked drilled spiral steel piles, as well as the geotechnical and structural design of strip foundations using ultimate limit state methods. Strengthening the foundations of historic buildings is a field of engineering where every site is more or less different from another. The variation of the substructure, foundation, and soil circumstances make every case unique. Preserving heritage buildings by preventing structural decay requires know-how and suitable strengthening methods. Drilled spiral piles and jacked piles were employed as strengthening methods for St. John’s Church of Tartu, because of the sinking and uneven settlement of the building. The strengthening work at St. John’s Church was challenging due to the risk of collapse of this historic church. Underpinning with jacked piles is a preferred method for strengthening historic foundations and where drilled spiral piles were employed, the author of this thesis developed special equipment. The strengthening method employed for the tower complies with the anastylosis principle by preserving the authenticity of the structures. Old block stones are visible upon the floating piled rafts. The empty space was left to give archaeologists and engineers a chance to study the realized work “in situ” in the future. The foundation of the tower was underpinned step by step with end-jacked piles and a concrete raft poured step by step. The weight of the tower is 5 500 tons and it rests on four pillars. Every pillar rests on its own floating piled raft. This thesis proves that by means of lower and upper bound theorems a floating, piled strip-foundation can be designed geotechnically and structurally using one method based on ultimate limit state (ULS) and serviceability limit state (SLS). The method takes the following into account as geotechnical requirements: total settlement and angular distortions; and as structural requirements; admissible plastic rotations, end moments due to displacement angle, as well as control of cracking. The chosen piling methods were suitable for St. John’s Church, and the installed piles work well in addition to the old foundations. The functionality of the strengthening techniques has been verified by test piling. Furthermore, every drilled spiral pile was preloaded twice and end-jacked for soil hardening. / Tiivistelmä Tämä tutkimus käsittelee historiallisten rakennusten perustusten vahvistamista esikuormitetuilla teräksisillä puristuspaaluilla ja esikuormitetuilla, loppupuristetuilla spiraaliporapaaluilla. Tutkimus sisältää myös pitkänomaisen anturaperustuksen mitoitusmenetelmän, joka huomioi sekä murtorajatilan että käyttörajatilan vaatimukset. Historiallisten rakennusten perustusten vahvistaminen on insinööritieteen osa-alue, missä jokainen työmaa on oma, ainutlaatuinen kohteensa johtuen erilaisista maaperäolosuhteista, perustuksista ja rakenteista. Rakennuksen luonteen säilyttäminen edellyttää insinööriltä monialaista kykyä ja tietoa sopivista vahvistamismenetelmistä. Spiraaliporapaaluja ja puristuspaaluja käytettiin Johanneksen kirkon (Jaani Kirik) perustusten vahvistamisessa rakennuksen epätasaisen painumisen ja sortumisvaaran vuoksi. Perustusten vahvistamista puristuspaaluilla pidetään yleisesti parhaana menetelmänä historiallisille rakennuksille. Tämän tutkimustyön tekijä suunnitteli erikoiskaluston työtä varten kehitetylle kierrepaalulle. Anastylosis periaatteen mukaisesti käytetyssä tornin vahvistamismenetelmässä säilytettiin rakenteiden autenttisuus. Vanhat kivilatomukset ovat osittain näkyvissä. Niiden välissä oleva tyhjä tila antaa arkeologeille ja insinööreille mahdollisuuden tutustua suoritettuun työhön. Tornin perustukset vahvistettiin vaiheittain paaluilla sekä valetulla betonilaatalla. Torni painaa 5 500 tonnia ja se on neljän pilarin varassa. Jokaisella pilarilla on erillinen kelluva paalutettu laattaperustus. Tässä työssä on osoitettu, että plastisuusteorian ala- ja ylärajalauseiden avulla myötäävän kitkamaan ja myötäävän paalutuksen varaan perustettu pitkänomainen anturaperustus voidaan mitoittaa geo- ja rakenneteknisesti murto- ja käyttörajatilassa samalla menetelmällä. Menetelmä sisältää geoteknisinä vaatimuksina anturan pohjapaineen, kokonaispainuman ja kulmakiertymän (= epätasaisen painumisen) määrittämisen, rakenteellisina vaatimuksina plastisoituvien kohtien riittävän muodonmuutoskyvyn, kenttä- ja tukimomenttien, epätasaisen painumisen aiheuttamien pakkomomenttien sekä halkeamatarkastelun määrittämisen. Spiraaliporapaalujen toiminnallisuus varmistettiin koepaaluilla. Maanlujittumista varten jokainen spiraaliporapaalu koestettiin kahdella esikuormituksella ja loppupuristuksilla.

The focus of this thesis is models for non-parametric clustering of multivariate count data. While there has been significant work in Bayesian non-parametric modelling in the last decade, in the context of mixture models for real-valued data and some forms of discrete data such as multinomial-mixtures, there has been much less work on non-parametric clustering of Multi-variate Count Data. The main challenges in clustering multivariate counts include choosing a suitable multivariate distribution that adequately captures the properties of the data, for instance handling over-dispersed data or sparse multivariate data, at the same time leveraging the inherent dependency structure between dimensions and across instances to get meaningful clusters. As the first contribution, this thesis explores extensions to the Multivariate Poisson distribution, proposing efficient algorithms for non-parametric clustering of multivariate count data. While Poisson is the most popular distribution for count modelling, the Multivariate Poisson often leads to intractable inference and a suboptimal t of the data. To address this, we introduce a family of models based on the Sparse-Multivariate Poisson, that exploit the inherent sparsity in multivariate data, reducing the number of latent variables in the formulation of Multivariate Poisson leading to a better t and more efficient inference. We explore Dirichlet process mixture model extensions and temporal non-parametric extensions to models based on the Sparse Multivariate Poisson for practical use of Poisson based models for non-parametric clustering of multivariate counts in real-world applications. As a second contribution, this thesis addresses moving beyond the limitations of Poisson based models for non-parametric clustering, for instance in handling over dispersed data or data with negative correlations. We explore, for the first time, marginal independent inference techniques based on the Gaussian Copula for multivariate count data in the Dirichlet Process mixture model setting. This enables non-parametric clustering of multivariate counts without limiting assumptions that usually restrict the marginal to belong to a particular family, such as the Poisson or the negative-binomial. This inference technique can also work for mixed data (combination of counts, binary and continuous data) enabling Bayesian non-parametric modelling to be used for a wide variety of data types. As the third contribution, this thesis addresses modelling a wide range of more complex dependencies such as asymmetric and tail dependencies during non-parametric clustering of multivariate count data with Vine Copula based Dirichlet process mixtures. While vine copula inference has been well explored for continuous data, it is still a topic of active research for multivariate counts and mixed multivariate data. Inference for multivariate counts and mixed data is a hard problem owing to ties that arise with discrete marginal. An efficient marginal independent inference approach based on extended rank likelihood, based on recent work in the statistics literature, is proposed in this thesis, extending the use vines for multivariate counts and mixed data in practical clustering scenarios. This thesis also explores the novel systems application of Bulk Cache Preloading by analysing I/O traces though predictive models for temporal non-parametric clustering of multivariate count data. State of the art techniques in the caching domain are limited to exploiting short-range correlations in memory accesses at the milli-second granularity or smaller and cannot leverage long range correlations in traces. We explore for the first time, Bulk Cache Preloading, the process of pro-actively predicting data to load into cache, minutes or hours before the actual request from the application, by leveraging longer range correlation at the granularity of minutes or hours. This enables the development of machine learning techniques tailored for caching due to relaxed timing constraints. Our approach involves a data aggregation process, converting I/O traces into a temporal sequence of multivariate counts, that we analyse with the temporal non-parametric clustering models proposed in this thesis. While the focus of our thesis is models for non-parametric clustering for discrete data, particularly multivariate counts, we also hope our work on bulk cache preloading paves the way to more inter-disciplinary research for using data mining techniques in the systems domain. As an additional contribution, this thesis addresses multi-level non-parametric admixture modelling for discrete data in the form of grouped categorical data, such as document collections. Non-parametric clustering for topic modelling in document collections, where a document is as-associated with an unknown number of semantic themes or topics, is well explored with admixture models such as the Hierarchical Dirichlet Process. However, there exist scenarios, where a doc-ument requires being associated with themes at multiple levels, where each theme is itself an admixture over themes at the previous level, motivating the need for multilevel admixtures. Consider the example of non-parametric entity-topic modelling of simultaneously learning entities and topics from document collections. This can be realized by modelling a document as an admixture over entities while entities could themselves be modeled as admixtures over topics. We propose the nested Hierarchical Dirichlet Process to address this gap and apply a two level version of our model to automatically learn author entities and topics from research corpora.