Using deepest regression method for optimization of fluidized bed granulation on semi-full scale

2003 ◽  
Vol 258 (1-2) ◽  
pp. 85-94 ◽  
Author(s):  
B Rambali
2004 ◽  
Vol 49 (11-12) ◽  
pp. 319-325 ◽  
Author(s):  
N.M. Mendonça ◽  
C.L. Niciura ◽  
E.P. Gianotti ◽  
J.R. Campos

This paper describes the performance, sludge production and biofilm characteristics of a full scale fluidized bed anaerobic reactor (32 m3) for domestic wastewater treatment. The reactor was operated with 10.5 m.h-1 upflow velocity, 3.2 h hydraulic retention time, and recirculation ratio of 0.85 and it presented removal efficiencies of 71 ± 8% of COD and 77 ± 14% of TSS. During the apparent steady-state period, specific sludge production and sludge age in the reactor were (0.116 ± 0.033) kgVSS. kgCOD-1 and (12 ± 5)d, respectively. Biofilm formed in the reactor presented two different patterns: one of them at the beginning of the colonization and the other of mature biofilm. These different colonization patterns are due to bed stratification in the reactor, caused by the difference in local-energy dissipation rates along the reactor's height, and density, shape, etc. of the bioparticles. The biofilm population is formed mainly of syntrophic consortia among sulfate reducing bacteria, methanogenic archaea such as Methanobacterium and Methanosaeta-like cells.


2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Haoyun Yuan ◽  
Yuan Li ◽  
Bin Zhou ◽  
Shuanhai He ◽  
Peizhi Wang

In the design of prestressing concrete structures, the friction characteristics between strands and channels have an important influence on the distribution of prestressing force, which can be considered comprehensively by curvature and swing friction coefficients. However, the proposed friction coefficient varies widely and may lead to an inaccurate prestress estimation. In this study, four full-scale field specimens were established to measure the friction loss of prestressing tendons with electromagnetic sensors and anchor cable dynamometers to evaluate the friction coefficient. The least square method and Bayesian quantile regression method were adopted to calculate the friction coefficient, and the results were compared with that in the specifications. Field test results showed that Bayesian quantile regression method was more effective and significant in the estimation of the friction coefficient.


Proceedings ◽  
2018 ◽  
Vol 2 (8) ◽  
pp. 520
Author(s):  
Jordi D’hondt ◽  
Sien Dieltiens ◽  
Marc Juwet

The present article describes the methodology used to design and calibrate a 6-component balance. This balance is utilized in an instrumented bike measuring the forces applied on the handlebars. This instrumentation bike maps all riders induced loads. In the designing process, Finite Element Analysis was used. Calibrating the balance was done using the Least Square Regression Method which allows combining multiple loads during calibration and thus requires less samples. The balance operates with a maximum full scale error of 0.53%.


2014 ◽  
Vol 61 ◽  
pp. 643-647 ◽  
Author(s):  
Jan Skvaril ◽  
Anders Avelin ◽  
Jan Sandberg ◽  
Erik Dahlquist

2017 ◽  
Vol 36 (5) ◽  
pp. 541-551 ◽  
Author(s):  
Zhilong Wang ◽  
Tong Zhao ◽  
Jiafeng Yao ◽  
Kai Liu ◽  
Masahiro Takei

2013 ◽  
Vol 27 (8) ◽  
pp. 4999-5007 ◽  
Author(s):  
Frida Jones ◽  
Fredrik Niklasson ◽  
Daniel Lindberg ◽  
Mikko Hupa

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