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Publication Date

Sat Jan 01 2022

Journal Name

Journal Of The Mechanical Behavior Of Materials

Volume

31

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Molding and simulation sedimentation process using finite difference method

MODELING

SIMULATION

SEDIMENTS

SEDIMENTATION

FINITE DIFFERENCE METHOD

Mohammed Abed

Khalid Adel

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Abstract<p>The goal of this research is to develop a numerical model that can be used to simulate the sedimentation process under two scenarios: first, the flocculation unit is on duty, and second, the flocculation unit is out of commission. The general equation of flow and sediment transport were solved using the finite difference method, then coded using Matlab software. The result of this study was: the difference in removal efficiency between the coded model and operational model for each particle size dataset was very close, with a difference value of +3.01%, indicating that the model can be used to predict the removal efficiency of a rectangular sedimentation basin. The study also revealed that the critical particle size was 0.01 mm, which means that most particles with diameters larger than 0.01 mm settled due to physical force, while most particles with diameters smaller than 0.01 mm settled due to flocculation process. At 10 m from the inlet zone, the removal efficiency was more than 60% of the total removal rate, indicating that increasing basin length is not a cost-effective way to improve removal efficiency. The influence of the flocculation process appears at particle sizes smaller than 0.01 mm, which is a small percentage (10%) of sieve analysis test. When the percentage reaches 20%, the difference in accumulative removal efficiency rises from +3.57% to 11.1% at the AL-Muthana sedimentation unit.</p>

Publication Date

Sun Jun 01 2014

Journal Name

Journal Of Economics And Administrative Sciences

Different Methods for Estimating Location Parameter & Scale Parameter for Extreme Value Distribution

Extreme Value Distribution

Maximum likelihood estimator

Method of moment Estimators

Estimators based on Percentiles

Least Squares estimators

Weighted Least Squares estimators

Ridge regression estimators

Adjusted Ridge regression estimators.

جنان عباس

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In this study, different methods were used for estimating location parameter and scale parameter for extreme value distribution, such as maximum likelihood estimation (MLE) , method of moment estimation (ME),and approximation estimators based on percentiles which is called white method in estimation, as the extreme value distribution is one of exponential distributions. Least squares estimation (OLS) was used, weighted least squares estimation (WLS), ridge regression estimation (Rig), and adjusted ridge regression estimation (ARig) were used. Two parameters for expected value to the percentile as estimation for distribution f

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Publication Date

Wed Apr 25 2018

Journal Name

Ibn Al-haitham Journal For Pure And Applied Sciences

Different Estimation Methods for System Reliability Multi-Components model: Exponentiated Weibull Distribution

Exponentiated Weibull Distribution (EWD)

Reliability of multi-component Stress â€“ Strength models R(s

k)

Maximum likelihood estimator (MLE)

Moment estimator (MOM)

shrinkage method (Sh)

Least Squares Estimator (LS)

Rank Set Sampling (RSS). and mean squared error (MSE).

Abbas Najim

Fatima Hadi

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In this paper, estimation of system reliability of the multi-components in stress-strength model R_(s,k) is considered, when the stress and strength are independent random variables and follows the Exponentiated Weibull Distribution (EWD) with known first shape parameter Î¸ and, the second shape parameter Î± is unknown using different estimation methods. Comparisons among the proposed estimators through Monte Carlo simulation technique were made depend on mean squared error (MSE) criteria

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Publication Date

Thu Aug 01 2019

Journal Name

Journal Of Economics And Administrative Sciences

مقارنة مقدرات بيز لدالة المعولية لتوزيع باريتو من النوع الاول باستعمال دوال معلوماتية مضاعفة مختلفة

Pareto type I distribution

reliability function

bayes method

double prior distributions (chi-gamma square distribution. gamma- erlang distribution

erlang exponential distribution

the squared error loss function.

توزيع باريتو من النوع الاول

دالة المعولية

طريقة بيز

الدوال المعلوماتية المضاعفة : توزيع مربع كاي- كاما

توزيع كاما - ارلنك

التوزيع ارلنك- الاسي

دالة الخسارة التربيعية.

جنان عباس

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The comparison of double informative priors which are assumed for the reliability function of Pareto type I distribution. To estimate the reliability function of Pareto type I distribution by using Bayes estimation, will be used two different kind of information in the Bayes estimation; two different priors have been selected for the parameter of Pareto type I distribution . Assuming distribution of three double prior’s chi- gamma squared distribution, gamma - erlang distribution, and erlang- exponential distribution as double priors. The results of the derivaties of these estimators under the squared error loss function with two different double priors. Using the simulation technique, to compare the performance for

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Publication Date

Tue Oct 23 2018

Journal Name

Journal Of Economics And Administrative Sciences

Comparison Bayes Estimators of Reliability in the Exponential Distribution

The Exponential

Bayes method

the prior distributions: Inverse Chi-square distribution

Inverted Gamma distribution

improper distribution

non-informative distribution

mean squared errors (MSE)

mean weighted squared errors (MWSE).

التوزيع الاسي

طريقة بيز

التوزيعات الأولية : توزيع معكوس مربع كاي

توزيع معكوس كاما

توزيع غير الملائم (Improper)

توزيع Non-informative. دالة الخسارة التربيعية والتربيعية الموزونة

متوسط مربع الاخطاء (MSE)

متوسط مربع الاخطاء الموزنه (MWSE).

جنان عباس

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Abstract

We produced a study in Estimation for Reliability of the Exponential distribution based on the Bayesian approach. These estimates are derived using Bayesian approaches. In the Bayesian approach, the parameter of the Exponential distribution is assumed to be random variable .we derived bayes estimators of reliability under four types when the prior distribution for the scale parameter of the Exponential distribution is: Inverse Chi-squar

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Publication Date

Wed Dec 01 2021

Journal Name

Structures

The effect of ground motion characteristics on the fragility analysis of reinforced concrete frame buildings in Australia

The seismic performance of buildings can be assessed through fragility analysis as it yields the probability of the demand exceeding the capacity at a specified level of intensity. Although it's well-identified that earthquake uncertainties dominate the fragility characteristics

the influence of the characteristics of the earthquake on the fragility analysis is not well investigated. This study aims to compare the effect of earthquake characteristics on the fragility values of typical buildings in Australia. To achieve this

a typical reinforced concrete building is selected and modeled using a finite element approach. Various ground motion suites

such as near-fault

far-fault

and long-duration are selected

and the fragility analysis has been carried out for each ground motion suite. It is observed that the variation in the median values of the collapse fragilities can be as high as 48% between short-duration and long-duration ground motions

and about 40% between long-duration and pulse-like ground motions.

Aya

Sujith

Javad

Alaa

M.D. Morshed

Abbas A.

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