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In this work, a nonlinear model predictive
controller is developed for a batch polymerization process. The physical model
of the process is parameterized along a desired trajectory resulting in a
trajectory linearized piecewise model (a multiple linear model bank) and the
parameters are identified for an experimental polymerization reactor. Then, a multiple
model adaptive predictive controller is designed for thermal trajectory
tracking of the MMA polymerization. The input control signal to the process is
constrained by the maximum thermal power provided by the heaters. The
constrained optimization in the model predictive controller is solved via genetic
algorithms to minimize a DMC cost function in each sampling interval.
This research shows a noticeable comparison
between slide zones produced with the results using the Nilsen method with
active tectonic hazard zonation map. A determination landform of geometry or
morphometry factors is one of the best methods for study and evaluation active
tectonics. The first image provided is a Dem maps from GIS software showing
topography, geology and tectonic maps participant with field activities. The
second image provided shows an active tectonic map also generated by the same
above mentioned factors into three classes A, B, C, D and a landslide hazard
zonation map which shows five classes: Stable zone, generally stable zone,
stable moderately stable zone, moderately stable zone and talented to
liquefaction zone. The study and comparison and conformity landslide hazard zonation
map with hazard zonations into active tectonic hazard zonation map showed about
79 percent (56,880 hectare) moderately unstable zone and talented for liquefaction
zone settled in A zone (very high tectonic activity) and B zone (high tectonic
activity) active tectonic map and 21 percent (15,130 hectare) remain
unsettled sequential 12 percent (8640 hectare) and 9 percent (6480 hectare) in
C (moderate tectonic activity), D (lowest tectonic activity) zone of active
tectonic hazard zonation produced from above mentioned factors. This research
showed a relationship between slide zones produced in landslide hazard
zonations using the Nilsen method to measure active tectonic hazard zonation in
the study region.
A lot of investigations have been done in order to understand the mechanisms of the transport of particulate suspension flow through porous medium. In general, Deep Bed Filtration studies have been conducted to analyse the mechanism involved in the processes of capturing and retaining particles occurs throughout the entire depth of the filter and not just on the filter surface. In this study, the deep bed filtration mechanism and the several mechanisms for the capture of suspended particles are explained then the size exclusion mechanism has been focused (particle capture from the suspension by the rock by the size exclusion). The effects of particle flux reduction and pore space inaccessibility due to selective flow of different size particles will be included in the model for deep bed filtration. The equations for particle and pore size distributions have been derived. The model proposed is a generalization of stochastic Sharma-Yortsos equations. Analytical solution for low concentration is obtained for any particle and pore size distributions. As we will see, the averaged macro scale solutions significantly differ from the classical deep bed filtration model.
authors want to retract the paper for his own reason.
article has been retracted to straighten the academic record. In making this
decision the Editorial Board follows COPE's Retraction
Guidelines. The aim is to promote
the circulation of scientific research by offering an ideal research
publication platform with due consideration of internationally accepted
standards on publication ethics. The Editorial Board would like to extend its
sincere apologies for any inconvenience this retraction may have caused.
Please see the article
page for more
details. The full
retraction notice in PDF is preceding the original paper which is marked \"RETRACTED\".