Simulation of foulant bioparticle topography based on Gaussian process and its implications for interface behavior research

Simulation of foulant bioparticle topography based on Gaussian process and its implications for interface behavior research
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基于高斯过程的污染物生物颗粒形貌模拟及其对界面行为研究的启示

DOI:
10.1016/j.apsusc.2017.11.031
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发表时间:
2018-03
影响因子:
6.7
通讯作者:
Bao-Qiang Liao
Bao-Qiang Liao
中科院分区:
材料科学1区
文献类型:
--
作者:
Leihong Zhao;Xiaolu Qu;Hongjun Lin;Genying Yu;Bao-Qiang Liao

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随机粗糙生物颗粒表面的模拟对于更好地了解和控制界面行为和膜污染是至关重要的。查阅文献表明,缺乏模拟随机粗糙生物制品表面的有效方法。提出了一种结合高斯分布、傅里叶变换、光谱法和坐标变换的膜生物反应器(MBR)污垢生物颗粒表面形貌的模拟方法。肮脏的生物制品的自然表面被发现是不规则的和随机粗糙的。新方法模拟的表面形貌与真实污秽生物粒子的表面形貌十分相似。此外,参数关联长度(L)和均方根(σ)对污物生物粒子的模拟形貌有重要影响。与传统的模拟随机粗糙污垢生物粒子的方法相比,本研究提出的新方法具有明显的优越性。新方法的简便性、简便性和适用性为其在界面行为和膜污染研究中的潜在应用奠定了基础。
Simulation of randomly rough bioparticle surface is crucial to better understand and control interface behaviors and membrane fouling. Pursuing literature indicated a lack of effective method for simulating random rough bioparticle surface. In this study, a new method which combines Gaussian distribution, Fourier transform, spectrum method and coordinate transformation was proposed to simulate surface topography of foulant bioparticles in a membrane bioreactor (MBR). The natural surface of a foulant bioparticle was found to be irregular and randomly rough. The topography simulated by the new method was quite similar to that of real foulant bioparticles. Moreover, the simulated topography of foulant bioparticles was critically affected by parameters correlation length (l) and root mean square (σ). The new method proposed in this study shows notable superiority over the conventional methods for simulation of randomly rough foulant bioparticles. The ease, facility and fitness of the new method point towards potential applications in interface behaviors and membrane fouling research.
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