Numerical Modeling of Buried Pipeline Crossing a Fault

Pipelines are common transportation means for oil and natural gas, which act as an important lifeline facility for any nation. Often the design of these pipelines is a difficult task because they commonly are installed underground passing through different types of soil media. Many of these existing pipelines run through the faulted area, which continuously exposed to considerable risk of failure due to movement along the fault. In this paper, a numerical study is carried out to understand stress development in buried pipeline subjected to fault motion with Mundra-Delhi pipeline as a case study. For this purpose, a 3D finite element program is developed and the same is used to study stress development in the pipe subjected to fault motion. Also here study has been done to find out the effect of different soil media and effect of fault-pipeline angle for both strike slip and dip slip fault motion

Fragility analysis of offshore wind turbine expose to near-field pulse-like ground motion

The near field pulse-like ground motion has significant effects on a long-period structure like a wind turbine. Such pulses can be due to source effect (directivity) or site effect (presence of basins), to name a few. The presence of such pulses in the existing recordings of earthquakes is well documented. However, due to the paucity of such pulse-like recordings, simplified shapes have been proposed in literature in accordance with the observed features. In this study, the influence of characteristics parameters of earthquake velocity pulse on the monopile-supported offshore wind turbine (OWT) determined. The four parameters of velocity pulse, i.e., vp the velocity amplitude, fp the prevailing frequency, n number of pulse, and the α/β parameter of envelope function, are considered. To perform the incremental dynamic analysis, the numerical model of OWT is developed in open-source software OpenSees. The pulse-like ground motion parameters effects are shown in terms of fragility curves for the serviceability limit state and ultimate limit state. © 2021, The Author(s), under exclusive licence to Springer Nature Switzerland AG

Seismic performance of offshore wind turbine in the vicinity of seamount subduction zone

The presence of seamount on the subducting interface of oceanic and continental tectonic plates has potential to alter the characteristics of ground motion due interface earthquakes. In this study, we address the influence of seamount presence on offshore wind turbine response, through a finite element simulation of earthquake and subsequently applying the recorded shaking from earthquake simulation as input to offshore wind turbines. The wind turbine response is computing by incremental dynamic analysis and fragility curves are derived for serviceability and ultimate limits of wind turbines. The effect of hypocenter being above or below the seamount, on the offshore wind turbine fragility is also addressed. © 202

Offshore wind turbine subjected to supershear earthquake ruptures

Supershear earthquakes, analogous to supersonic speeds of sounds, show the presence of a Mach front in the top view. This feature was observed in several past earthquakes, including the 1999 Izmit earthquake, 2001 Kokoxili earthquake, to name a few. The ground motion from supershear ruptures can be destructive to structures due to dominant fault-parallel components. In this study, we demonstrate the effect of supershear ruptures on wind turbines by modelling them in OpenSees. Earthquake ruptures are simulated using SPECFEM3D, another open-source software. By considering arrays at different offsets along strike and away from the strike, the distance effect on serviceability limit states of wind turbines is studied using supershear and subshear earthquakes. © The Author(s) 2022

Duration prediction of Chilean strong motion data using machine learning

Chile is rocked by inslab, interface as well as crustal events. Duration estimates based on Chilean strong motion flatfile is used to predict total duration as well as significant-duration. We use six different machine learning algorithms k-nearest neighbours, support vector machine, Random forest, Neural network, AdaBoost, decision tree and estimate the accuracies of prediction for each component (EW, NS, Z) of ground motion for different tectonic environments. The estimates of duration using machine learning are found to be quite accurate and the best performing machine learning algorithm in prediction of the total duration and the significant-duration are highlighted

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Not AvailableMalnourishment is widespread and severe problems in most of the developing countries, and nutritionally rich food can address this issue efficiently by introducing nutritionally rich cultivars for cultivation. In this endeavor, 33 genotypes (30 agronomically superior advance lines and three cultivars) were analyzed for nutritional and essential agromorphological attributes. This set of materials has shown wide significant variations for most of the nutritional attributes indicating significant levels of genetic diversity. Antioxidant metabolites (total carotenoids and total polyphenols) and total chlorophyll were positively correlated with each other. First, four principal components explained 70.47% of the total variation. Best-performing lines were marked for important nutritional and agro-morphological attributes and may be tested in the multi-location trial to be released as new nutritionally rich cultivars for on-farm production.Alternatively, these could also be of instant significance as a donor in the future breeding program.Not Availabl

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Unnat Sabji Paudhashala Prabandhan

Not AvailableIt is an extension leaflet in the Hindi language on 'Unnat Sabji Paudhashala Prabandhan' (Improved Vegetable Nursery Management).AICRP-VC (Anusuchit Jati Upyojana

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