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The evaluation of the wave-induced pore pressure around a buried pipeline is particularly important for pipeline engineers involved in the design of offshore pipelines. Most previous investigations of the wave-induced dynamic response around an offshore pipeline have limited to two-dimensional cases. In this paper, a three-dimensional model including buried pipeline is established, based on the existing DYNE3WAC models. Based on the proposed numerical model and poro-elastic soil material assumption, the effects of wave and soil characteristics, such as wave period, water depth, shear modulus and permeability, and configuration of pipelines, such as pipeline radius and pipeline buried depth, on the wave-induced excess pore pressure will be examined. Numerical results indicated that the normalized excess pore pressures versus z/h near the pipeline increase as the obliquity angle, wave period and water depth increase, and they decrease as the burial depth and radius of pipeline increase above the pipeline. Soil permeability has obvious influence on the wave-induced normalized excess pore pressure, and different soil material will result in distinct computation results. 相似文献
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Xianglan Kong Shengxin Cai Tianjiao Zhu Qianqun Gu Dehai Li Yepeng Luan 《中国海洋大学学报(英文版)》2014,13(4):691-695
In order to obtain novel secondary metabolites, a deep sea inhabiting fungus Aspergillus versicolor CXCTD-06-6a was investigated. One new diketopiperazine brevianamide W(1a), as well as five known diketopiperazine alkaloids, diketopiperazine V(1b), brevianamide Q(2), brevianamide R(3), brevianamide K(4), and brevianamide E(5), were isolated from the Et OAc extract of the fermentation broth. Their structures were elucidated by spectroscopy techniques(NMR, MS). The six compounds exhibited moderate radical scavenging activity against DPPH with clearance ratio of 55.0%(1a and 1b), 53.7%(2), 46.2%(3), 61.4%(4) and 19.3%(5) at a concentration of 13.9 μmol L-1, respectively; while the positive control ascorbic acid showed a ratio of 70.3% at the concentration of 28.4 μmol L-1. 相似文献
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Zhen Liang Xianjia Peng Jun Wang Zhaokun Luan Zhimei Liu Yunxia Wang 《Environmental Earth Sciences》2011,63(2):221-228
Sewage sludge contains large amount of water-soluble phosphorus, which is prone to runoff loss when sewage sludge is land
applied. Phosphorus export from sewage sludge is an important cause for water eutrophication. Immobilization of phosphorus
before sewage sludge land application seems necessary. In this study, three amendments including red mud (RM), lime and mixture
of RM and lime were employed to immobilize phosphorus in fresh sewage sludge. It was found that phosphorus was effectively
controlled by RM, lime and mixture of RM and lime. Sequential chemical extraction results indicate that the RM amendment transformed
H2O-P in the sewage sludge into the NaOH-P, while the lime amendment transformed H2O-P in the sewage sludge into the HCl-P. Such transformations in phosphorus fractions would have little influence on phosphorus
availability but would retard and reduce potential phosphorus loss following sewage sludge was land applied. 相似文献
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<正>七十年代以来,国内用线性渗流确定性模型对地下水系统进行数值模似(反求参数,预报人工流场),已取得丰富的成果和经验,但也存在一些问题。其中重要的问题之一是模型预报时边界条件的非确定性。对于该问题虽然有不同的解决办法,也有一些较大的分歧,至今还缺乏一套科学依据较严密的处理原则和求值方法。 相似文献
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Digitized topographic maps normally have to go through the geometric calibration before practical utilization. Nowadays, the reference points for the calibration are still manually assigned. Corner points (graticule intersections) in a map are usually good candidates in favor of the reference points. This paper proposes an algorithm for automatically locating the corner points in the electronic topographic maps by detecting the specific rectangle objects in the map corners. It assigns the probabilities to each row and column in the region of interests (RoIs) to provide information regarding the location of the objects. In order to facilitate the object detection with high level visual features, the deep neural networks (DNNs) are employed in the proposed algorithm. For the object proposal, the sliding window scheme is adopted. The experimental results indicate that the proposed approach outperforms the conventional bounding-box regression method in both detection and localization accuracy. For the proposed algorithm, the average F1 score in the object detection is 0.91, which is 12% higher than the conventional model. The mean Euclidean distance between the predicted corner points and the ground-truth by the proposed algorithm is 2.22 pixels, 35.8% lower compared with the regression based model. 相似文献