Deformability of non-prismatic prestressed concrete beams with multiple openings of different configurations
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Publication Date
Sun Mar 30 2014
Journal Name
Oriental Journal Of Chemistry
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Publication Date
Tue Nov 01 2022
Journal Name
Journal Of Cleaner Production
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(11)
Publication Date
Tue Nov 01 2022
Journal Name
Journal Of Cleaner Production
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(11)
Publication Date
Tue Dec 24 2024
Journal Name
Journal Of Physical Education
Publication Date
Tue Oct 30 2018
Journal Name
Advances In Civil Engineering
Equivalent Modulus of Asphalt Concrete Layers
A flexible pavement structure usually comprises more than one asphalt layer, with varying thicknesses and properties, in order to carry the traffic smoothly and safely. It is easy to characterize each asphalt layer with different tests to give a full description of that layer; however, the performance of the whole; asphalt structure needs to be properly understood. Typically, pavement analysis is carried out using multi-layer linear elastic assumptions, via equations and computer programs such as KENPAVE, BISAR, etc. These types of analysis give the response parameters including stress, strain, and deflection at any point under the wheel load. This paper aims to estimate the equivalent Resilient Modulus (MR) of the asphalt concrete
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(3)
Publication Date
Tue Oct 30 2018
Journal Name
Civil Engineering Journal
Equivalent Modulus of Asphalt Concrete Layers
Equivalent Resilient Modulus
Asphalt Concrete
Multi-Layer
Linear Elastic
A flexible pavement structure usually comprises more than one asphalt layer, with varying thicknesses and properties, in order to carry the traffic smoothly and safely. It is easy to characterize each asphalt layer with different tests to give a full description of that layer; however, the performance of the whole; asphalt structure needs to be properly understood. Typically, pavement analysis is carried out using multi-layer linear elastic assumptions, via equations and computer programs such as KENPAVE, BISAR, etc. These types of analysis give the response parameters including stress, strain, and deflection at any point under the wheel load. This paper aims to estimate the equivalent Resilient Modulus (MR) of the asphalt concrete
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(3)
Publication Date
Mon Jun 19 2023
Journal Name
Journal Of Engineering
Assessing Durability of Roller Compacted Concrete
roller compacted concrete
durability
freezing and thawing
sulfate attack test
wetting and drying.
Roller Compacted Concrete (RCC) is a technology characterized mainly by the use of rollers for compaction; this technology achieves significant time and cost savings in the construction of dams and roads. The primary scope of this research is to study the durability and performance of roller compacted concrete that was constructed in the laboratory using roller compactor manufactured in local market. A total of (60) slab specimen of (38×38×10) cm was constructed using the roller device, cured for 28 days, then 180 sawed cubes and 180 beams are obtained from RCC slab. Then, the specimens are subjected to 60 cycles of freezing and thawing, sulfate attack test and wetting and drying. The degree of effect of the type of coarse aggregate (c
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Publication Date
Fri Jul 01 2016
Journal Name
Journal Of Engineering
FRACTURE PROPERTIES OF LOCAL ASPALT CONCRETE
Stress intensity factor
Fracture Energy
J-integral
The local asphalt concrete fracture properties represented by the fracture energy, J-integral, and stress intensity factor are calculated from the results of the three point bending beam test made for pre notches beams specimens with deformation rate of 1.27 mm/min. The results revealed that the stress intensity factor has increased by more than 40% when decreasing the testing temperature 10˚C and increasing the notch depth from 5 to 30mm. The change of asphalt type and content have a limited effect of less than 6%.
Publication Date
Tue Apr 01 2003
Journal Name
Abhath Al- Yarmouk [basic Sciences And Engineering]
Publication Date
Mon Nov 11 2019
Journal Name
Spe
Modeling Rate of Penetration using Artificial Intelligent System and Multiple Regression Analysis
Abstract<p>Over the years, the prediction of penetration rate (ROP) has played a key rule for drilling engineers due it is effect on the optimization of various parameters that related to substantial cost saving. Many researchers have continually worked to optimize penetration rate. A major issue with most published studies is that there is no simple model currently available to guarantee the ROP prediction.</p><p>The main objective of this study is to further improve ROP prediction using two predictive methods, multiple regression analysis (MRA) and artificial neural networks (ANNs). A field case in SE Iraq was conducted to predict the ROP from a large number of parame</p>
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neural network
strength
machine learning
ROP prediction
Upstream Oil & Gas
prediction
ANN model
input parameter
multiple regression analysis
artificial neural network
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