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Article
A Proposed Equation for the Evaluation of the Nominal Ultimate Bending Moment Capacity of Rectangular Singly Reinforced RPC Sections
معادلة مقترحة لاحتساب سعة العزم القصوى لمقطع مستطيل من خرسانة المساحيق الفعالة مفرد التسليح

Authors: Suaad Kh. Ibraheem --- Hisham M. Al Hassani
Journal: Engineering and Technology Journal مجلة الهندسة والتكنولوجيا ISSN: 16816900 24120758 Year: 2011 Volume: 29 Issue: 5 Pages: 925-934
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

Based on compressive stress – compressive strain curves of Reactive PowderConcrete (RPC) which have been established recently in a Ph.D thesis(1), anequivalent bi-linear compressive stress block for RPC sections under purebending moment is proposed and used to derive an equation for calculating thenominal ultimate bending moment capacity (Mn) of rectangular singly reinforcedRPC sections. The accuracy of the derived equation of Mn is examined bycomparison with the results of existing experimental tests.


Article
Influence of Risks on Project Planning Decision

Authors: Alaa Salahudien Araibi --- Suaad Kh. Ibraheem --- AllaEldin H. Kassam
Journal: Engineering and Technology Journal مجلة الهندسة والتكنولوجيا ISSN: 16816900 24120758 Year: 2016 Volume: 34 Issue: 6 Part (A) Engineering Pages: 1247-1252
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

In this research, a "Project planning / Risk analysis" model that consists of four modules has been developed to aid the decision-maker in planning different types of projects and analyze the risks. These modules are: Planning, Decision-Making Process 1, Risk Analysis, and Decision-Making Process 2.The model can be used to generate different scenarios of project plan according to the decision-maker's opinion in choosing the type of probability distribution, changing the probability/impact of the risk occurrences and/or changing the input values (time/cost) into the probability distribution. These scenarios will be resulted by Monte Carlo simulation as well as the application of qualitative techniques to assess risks and combining their probability of occurrence and impact, and quantitative techniques to numerically analyze the effect of identified risks. Moreover, it gives the decision-maker the ability of avoiding unexpected events through providing a futuristic look of the most project risky activities by implementing risk ranking matrix using heat map. The developed model will go through interrelating three software; Microsoft Project, Microsoft Excel and @Risk from Palisade.

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