نتایج جستجو برای: d gpr modeled sections however
تعداد نتایج: 2240021 فیلتر نتایج به سال:
We assess the performance of Ground Penetrating Radar (GPR) method in fractured rock formations very low transmissivity (e.g. T ≈ 10 −9 –10 −10 m 2 /s for sub-mm apertures) and, more specifically, to image fracture widening induced by high-pressure injections. A field-scale experiment was conducted at Äspö Hard Rock Laboratory (Sweden) a tunnel situated 410 depth. The tracer test performed with...
Abstract Artificial levees along alluvial rivers are major components of flood-risk mitigation. This is especially true in the case Hungary, where more than one-third country threatened by floods and protected an over 4200-km-long levee system. Most such were built nineteenth century. Since then, several natural anthropogenic processes, as compaction erosion, might have contributed to these ear...
Ground Penetrating Radar (GPR) has been used recently for diagnostics of the railway infrastructure, particularly ballast layer. To overcome fouling, mechanized cleaning process, which increases track occupancy time and cost, is usually used. Hence it crucial significance to identify at stage life cycle, level should be initiated. In present study, a series in situ GPR surveys on selected secti...
DESIGN AND OPTIMIZATION OF UWB ANTENNA FOR AIR COUPLED GPR APPLICATIONS Report Title This thesis presents a novel antenna structure that satisfies the challenging requirements of an air coupled high speed ground penetrating radar (GPR). The desired GPR system is to achieve high spatial resolution and accurate inspection results while scanning at relatively high speed for highway pavement and br...
This paper applies a 3-D nonuniform fast Fourier transform (NUFFT) migration method to image both free-space and buried targets from data collected by a ultra-wideband ground penetrating radar (GPR) system. The method incorporates the NUFFT algorithm into 3-D phase shift migration to evaluate the inverse Fourier transform more accurately and more efficiently than the conventional migration meth...
Ground penetrating radar (GPR) is a widely used sensor for land mine detection. However, GPR signal return is very susceptible to ground bounce and reflection of clutter objects, which makes the detection a difficult problem to date. In this paper, we propose to utilize two-sided linear prediction (LP) to model the background interference and then employ the residue energy to generate the test ...
The Use of GPR and Microwave Tomography for the Assessment of the Internal Structure of Hollow Trees
Internal decays in trees can rapidly escalate into a full decomposition of the inner structural layer, i.e., “heartwood” due to action aggressive diseases and fungal infections. This process leads formation big cavities hollows, which remain surrounded by sapwood layer only. Estimating thickness with high degree accuracy is therefore crucial for correct assessment integrity hollow trees, as wel...
روش رادار نفوذی به زمین (gpr) یک روش ژئوفیزیکی غیر مخرب است که قادر به آشکارسازی انواع ناهمگنی های زیرسطحی و نیز شناسایی انواع اهداف مدفون در اعماق کم است. در پژوهش حاضر مدل سازی پیشرو و وارون داده های gpr با هدف کاربرد در زمینه باستان شناسی، انجام شده است. منطقه مورد مطالعه، منطقه باستانی تپه حصار دامغان است که در این منطقه با هدف بررسی های باستان شناسی زیرسطحی، تعدادی پروفیل gpr با استفاده از...
Cell divisions are sometimes oriented by extrinsic signals, by mechanisms that are poorly understood. Proteins containing TPR and GoLoco-domains (C. elegans GPR-1/2, Drosophila Pins, vertebrate LGN and AGS3) are candidates for mediating mitotic spindle orientation by extrinsic signals, but the mechanisms by which TPR-GoLoco proteins may localize in response to extrinsic cues are not well define...
Data-driven techniques based on Bayesian framework like Gaussian Process Regression (GPR) can not only predict the lithium-ion battery Remaining Useful Life (RUL), but also provide the uncertainty representation. However, it is always difficult to choose the covariance function of GPR and the confidence bound is usually large if the training data are not enough. In order to solve this problem, ...
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