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Yes / Stability and safety of offshore wind turbines with mono-pile foundations, affected by nonlinear wave effect and dynamic seabed response, are the primary concerns in offshore foundation design. In order to address these problems, the nonlinear wave effect on dynamic seabed response in the vicinity of mono-pile foundation is investigated using an integrated model, developed using OpenFOAM, which incorporates both wave model (waves2Foam) and Biot’s poro-elastic model. The present model was validated against several laboratory experiments and promising agreements were obtained. Special attention was paid to the systematic analysis of pore water pressure as well as the momentary liquefaction in the proximity of mono-pile induced by nonlinear wave effects. Various embedment depths of mono-pile relevant for practical engineering design were studied in order to attain the insights into nonlinear wave effect around and underneath the mono-pile foundation. By comparing time-series of water surface elevation, inline force, and wave-induced pore water pressure at the front, lateral, and lee side of mono-pile, the distinct nonlinear wave effect on pore water pressure was shown. Simulated results confirmed that the presence of mono-pile foundation in a porous seabed had evident blocking effect on the vertical and horizontal development of pore water pressure. Increasing embedment depth enhances the blockage of vertical pore pressure development and hence results in somewhat reduced momentary liquefaction depth of the soil around the mono-pile foundation. / Energy Technology Partnership (ETP), Wood Group Kenny, and University of Aberdeen; the National Science Fund for Distinguished Young Scholars (51425901) and the 111 project (B12032).

Yes / The near-trapping effects on wave-induced dynamic seabed response and liquefaction close to a multi-cylinder foundation in storm wave conditions are examined. Momentary liquefaction near multi-cylinder structures is simulated using an integrated wave-structure-seabed interaction model. The proposed model is firstly validated for the case of interaction of wave and a four-cylinder structure, with a good agreement with available experimental measurements. The validated model is then applied to investigate the seabed response around a four-cylinder structure at 0° and 45° incident angles. The comparison of liquefaction potential around individual cylinders in an array shows that downstream cylinder is well protected from liquefaction by upstream cylinders. For a range of incident wave parameters, the comparison with the results for a single pile shows the amplification of pressure within the seabed induced by progressive wave. This phenomenon is similar to the near-trapping phenomenon of free surface elevation within a cylinder array. / Energy Technology Partnership (ETP), Wood Group / Full-text of this article will be released for public view at the end of the publisher embargo on 10 Oct 2021.

Predicting sediment transport at sandy beaches is a significant challenge in civil engineering owing to the variability in hydrodynamic, morphological, and geotechnical properties within a site and across multiple sites. Additionally, there are difficulties in measuring in-situ properties, and challenges in identifying and quantifying the different relevant driving and resisting forces. These challenges are further exacerbated in the intertidal zone where the addition of infiltration-exfiltration, wave run-up and run-down, bore collapse, cyclic emergence and submergence of sediments, interactions between standing waves and incident bores, and other processes must be considered. Among these many processes, pore pressure gradients within sandy beach sediments affect sediment transport by reducing the sediment's effective stress to zero (this process is called liquefaction). Despite the known importance of these pressure gradients with respect to sediment transport, there has been little field evidence of the role that these pore pressure gradients have on sediment transport, how they relate to the hydrodynamic properties, and their inclusion into predictive sediment transport equations. This study is based on field measurements of hydrodynamic and geotechnical properties, as well as pore pressure gradients during storm and non-storm conditions at sandy beaches in the intertidal zone. From the analysis of these field measurements, it was found that (1) liquefying pressure gradients are likely to develop in sediments that are rapidly inundated during storm conditions; (2) the magnitude of pore pressure gradients is related to the asymmetry of the pressure gradient and can occur with shoreward-directed near bed velocities; and (3) during non-storm conditions, pressure gradients that often do not exceed liquefaction criteria occurred more (less) frequently during a time period where erosion occurred in large (small) quantities, indicating that small non-liquefying pore pressure gradients may facilitate sediment transport. The results of this study demonstrate that current methods of scour calculations must include effects of pore pressure gradients to reduce error. Additionally, from this work it was found that sediment transport can be directed shoreward under momentary liquefaction. Finally, the results of this study show that sediment pore pressure gradients are related to wave skewness, spatial group steepness, and temporal group steepness which may aid modelling of pore pressure gradients. / Doctor of Philosophy / The transport of sediment particles (in this case, sand grains at beaches) is difficult to predict because of the many different governing processes that can be hard to measure, may be hard to relate to erosion or sediment accumulation specifically, and the variability in sediment and flow properties (grain size, fluid velocity, and others) at a specific location and across different locations. Storms, like hurricanes, tropical storms, and tsunamis, can drastically change the expected water properties (like water depth, wave height, and wave period), and the effects of water pressure within the sand bed. When a wave moves across the sand it causes a change in the water pressure that is within the sand. This water pressure is not the same throughout the sand with depth. When the gradient, or the difference between the water pressure at two different vertical locations, is large enough, the sand behaves like a fluid (like quicksand) and becomes easier to move, this process is called liquefaction. Even though previous work has shown that these pressure gradients (and the resulting liquefaction) is important for sediment transport, there have been few field measurements demonstrating their impact on sediment transport and how these gradients (and the resulting liquefaction) relate to wave and sand properties. This study presents field measurements of pressure gradients, wave and sediment properties, and sediment transport events during both storm and non-storm conditions. From these field measurements, it was shown that (1) during an extreme storm event, pressure gradients that liquefy the sediment are likely to occur on sediments that are not normally subjected to waves; (2) liquefying pressure gradients can occur when waves arrive at the beach, which may cause sediment to be moved shoreward; and (3) during non-storm conditions, pressure gradients that do not liquefy the sand occurred frequently during a sediment transport event, suggesting that these smaller pressure gradients may contribute to sediment transport by reducing the effective weight of the sediment. This work can be used to further understand the behavior of sediment pore pressure gradients, their relation to hydrodynamic properties, and how they influence sediment transport allowing for better predictions of sediment transport, beach nourishment calculations, and the design of coastal structures.

La Dépression Post-AVC (DPAVC) constitue une des complications psychiatriques les plus fréquentes dans les suites d’un Accident Vasculaire Cérébral (AVC) avec des conséquences majeures en termes de récupération fonctionnelle et de qualité de vie. Il est nécessaire de disposer de critères permettant une identification précoce des patients à risque afin de leur proposer des aides adaptées. L’objectif de ce travail de thèse est d’étudier certains facteurs de risque et de protection de la DPAVC avec une approche en vie quotidienne chez des patients présentant un AVC peu invalidant. Dans une première partie, nous présentons l’étude du rôle exercé par le soutien social et la routinisation sur la sévérité des symptômes dépressifs trois mois après l’AVC par la méthode « Ecological Momentary Assessment ». Dans une seconde partie, nous explorons le rôle de la voix comme marqueur précoce de la DPAVC. Nous avons mis en évidence que la perception du soutien social initial influence l’intensité des symptômes dépressifs et les activités trois mois après. D’autre part, nous avons observé une dynamique temporelle unidirectionnelle entre l’augmentation des routines et la survenue de symptômes dépressifs plus intenses. Enfin, les analyses vocales nous ont permis d’identifier des marqueurs de DPAVC avec des modifications longitudinales de la fréquence fondamentale ainsi que des marqueurs précoces (shimmer et ruptures de voisement). Au-delà des facteurs cliniques traditionnellement reconnus, ce travail a mis en évidence de façon écologique de nouveaux marqueurs de risque de DPAVC dont la détection pourrait permettre d’élaborer de nouvelles stratégies de prévention et de prise en charge / Post-stroke depression (PSD) is one of the most common psychiatric complications following stroke with detrimental consequences in terms of functional recovery and quality of life. Its identification and treatment at the earliest stages of care remains a clinical challenge. The aim of this thesis is to study risk and protective factors for PSD based on data collected in the contexts of daily life. In the first section, we present a study of the role played by social support and routinization on the severity of depressive symptoms three months after stroke by Ecological Momentary Assessment (EMA). In the second section, we examine the voice as an early marker of PSD. We observed that patient perceptions of better support quality, and not quantity, immediately following mild stroke, are associated with better behavioral and emotional outcomes three months later. In addition, we observed a unidirectional pattern of association between mood and routines, whereby the occurrence of routines was associated with a higher level of depressive symptomatology over subsequent hours. Finally, voice analysis allowed us to identify PSD markers with longitudinal changes in fundamental voice frequency and discriminant analysis demonstrated that initial voice breaks coupled with shimmer are strongly predictive of subsequent PSD. Beyond commonly-recognized clinical risk factors such as stroke severity, these ecological investigations identified new markers for PSD whose detection could lead to new strategies for prevention and care

The focus of this research is on identification, location, interruption, characterization and overall management of faults in conventional AC distribution systems as well as isolated MVDC power systems. The primary focus in AC distributions systems is on identifying and locating underground cable faults using voltage and current waveforms as the input data. Cable failure process is gradual and is characterized by a series of single-phase sub-cycle incipient faults with high arc voltage. They often go undetected and eventually result in a permanent fault in the same phase. In order to locate such incipient cable faults, a robust yet practical algorithm is developed taking into account the fault arc voltage. The algorithm is implemented in the time-domain and utilizes power quality monitor data to estimate the distance to the fault in terms of the line impedance. It can be applied to locate both sub-cycle as well as permanent faults. The proposed algorithm is evaluated and proved out using field data collected from utility distribution circuits. Furthermore, this algorithm is extended to locate evolving faults on overhead distribution lines. Evolving faults are faults beginning in one phase of a distribution circuit and spreading to another phase after a few cycles. The algorithm is divided into two parts, namely, the single line-to-ground portion of the fault and the line-to-line-to-ground portion of the fault. For the single line-to-ground portion of the fault, the distance to the fault is estimated in terms of the loop or self-reactance between the monitor and the fault. On the other hand, for the line-to-line-to-ground and line-to-line portion of the fault the distance is estimated in terms of the positive-sequence reactance. The secondary focus of fault management in AC distribution systems is on identifying fault cause employing voltage and current waveform data as well as meteorological information. As the first step, unique characteristics of cable faults are examined along with methods to identify such faults with suitable accuracy. These characteristics are also used to distinguish underground cable faults from other overhead distribution line faults. The overhead line faults include tree contact, animal contact and lightning induced faults. Waveform signature analysis, wavelet transforms and arc voltages during the fault event are used for fault cause identification and classification. A statistical based classification methodology to identify fault cause is developed by utilizing promising characteristics. Unlike the AC system infrastructure which is already in place, the DC system considered in this document is that of a notional electric ship. The nature of DC current, with the absence of a current zero as well as the presence of power electronic devices influencing the current behavior, makes interrupting DC fault currents challenging. As a part of this research an innovative DC fault interruption scheme is proposed for rectifier- fed MVDC systems. A fault at the terminals of a phase-controlled rectifier results in a high magnitude current impulse caused by the filter capacitor discharging into the fault resistance. It is proposed to use a series inductor to limit the magnitude of this current impulse. The addition of the inductor results in an underdamped series RLC circuit at the output terminals of the rectifier which causes the fault current to oscillate about zero. Furthermore, it is proposed to utilize a conventional AC circuit breaker to interrupt this fault current by exploiting the zero crossings resulting from the oscillations. Using the proposed scheme for the example case, the peak fault current magnitude as well as the interruption time is significantly reduced. / text

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Indiana University-Purdue University Indianapolis (IUPUI) / The research ideas included in this dissertation are motivated by a large sexually trans mitted infections (STIs) study (IU Phone study), which is also an ecological momentary assessment (EMA) study implemented by Indiana University from 2008 to 2013. EMA, as a group of methods used to collect subjects’ up-to-date behaviors and status, can increase the accuracy of this information by allowing a participant to self-administer a survey or diary entry, in their own environment, as close to the occurrence of the behavior as possible. IU Phone study’s high reporting level shows one of the benefits gain from introducing EMA in STIs study. As a prospective study lasting for 84 days, participants in IU Phone study undergo STI testing and complete EMA forms with project-furnished cellular telephones according to the predetermined schedules. At pre-selected eight-hour intervals, participants respond to a series of questions to identify sexual and non-sexual interactions with specific partners including partner name, relationship satisfaction and sexual satisfaction with this partner, time of each coital event and condom use for each event. etc. STIs lab results of all the participants are collected weekly as well. We are interested in several variables related to the risk of infection and sexual or non-sexual behaviors, especially the relationship among the longitudinal processes of those variables. New statistical models and applications are established to deal with the data with complex dependence and sampling data structures. The methodologies covers various of statistical aspect like generalized mixed models, mul tivariate models and autoregressive and cross-lagged model in longitudinal data analysis, misclassification adjustment in imperfect diagnostic tests, and variable-domain functional regression in functional data analysis. The contribution of our work is we bridge the meth ods from different areas with EMA data in the IU Phone study and also build up a novel understanding of the association among all the variables of interest from different perspec tives based on the characteristic of the data. Besides all the statistical analyses included in this dissertation, variety of data visualization techniques also provide informative support in presenting the complex EMA data structure.

The measurement of engagement, or the interaction of a person with their environment, is an integral part of assessing the quality of an intervention program for young children diagnosed with autism spectrum disorder. Researchers and practitioners can and do measure engagement in many ways on the individual and group level. The purpose of this methodological study was to compare three commonly used recording systems: individual partial interval, group momentary time sampling, and group partial interval. These recording methods were compared across three classes of engagement: social, instructional, and non-instructional in a clinical setting with children with autism. Results indicate that group measurement systems were not sensitive to individual changes in engagement when child behaviors were variable. The results are discussed in the context of behavior analytic conceptual systems and the relative utility and future research directions for behavior analytic practice and research with young children in group settings.