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INDONESIA
Civil Engineering Journal
Published by C.E.J Publishing Group
ISSN : 24763055     EISSN : 24763055     DOI : -
Core Subject : Engineering,
Civil Engineering, Building, Construction & Architecture
Civil Engineering Journal is a multidisciplinary, an open-access, internationally double-blind peer -reviewed journal concerned with all aspects of civil engineering, which include but are not necessarily restricted to: Building Materials and Structures, Coastal and Harbor Engineering, Constructions Technology, Constructions Management, Road and Bridge Engineering, Renovation of Buildings, Earthquake Engineering, Environmental Engineering, Geotechnical Engineering, Highway Engineering, Hydraulic and Hydraulic Structures, Structural Engineering, Surveying and Geo-Spatial Engineering, Transportation Engineering, Tunnel Engineering, Urban Engineering and Economy, Water Resources Engineering, Urban Drainage.
Arjuna Subject : -
Articles 15 Documents
 1   2 
Search results for , issue "Vol 6, No 10 (2020): October" : 15 Documents clear
Using Mortar Infiltrated Fiber Concrete as Repairing Materials for Flat Slabs Rawnaq Abbas Helal; Haider M. Al-Baghdadi; Nabeel Hasan Ali Al-Salim
Civil Engineering Journal Vol 6, No 10 (2020): October
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/cej-2020-03091595

Abstract

This search aims to study and test the effect of using a new material (mortar infiltrated fiber concrete) as repair material in crucial regions that need a special type of repair like (deck of bridges, pavements, and defense structures). This work consisted of three stages: the first stage; testing the engineering properties of slurry infiltrated fiber concrete (compressive, splitting tensile, flexural and bond strengths), by using different types of fibers (End hooked steel fiber, Micro steel fiber, Polypropylene fiber, and Synthetic fiber), in five different types of mortar infiltrated fiber concrete mixes (with a volumetric ratio of fiber 6%), and the age of test was 28 days. After studying the behavior of these mixes in these tests, the second stage of this study was concluded casting reference slab with dimensions 900×900×80 mm from normal strength concrete and repairing two sets of damaged slabs (with dimensions 900×900×50 mm, the first set consist of five slabs damaged in the compression zone, and the second set consist of five slabs damaged in tension zone), the two sets repaired with repair layer from mortar infiltrated fiber concrete with thickness 30 mm. The third stage of the study was testing the effect of the repair material (mortar infiltrated fiber concrete) on the flexural behavior of the repaired slab specimens in (flexural strength, deflection characteristics, and ductility), through using a hydraulic jack with a four-point load system. The results of testing slab specimens indicated significant improvement in the flexural behavior of the repaired slab when compared with the reference slab, the slabs repaired in the compression zone recorded increasing in range 2-39% in ultimate load and the slabs that repaired in tension zone recorded 4-71% increasing in ultimate load .also recorded better deflection values through testing the slabs specimens that repaired. The ductility of the repaired slab specimens increased significantly from 25 to 91% compared with the reference slab specimens. These results indicated excellent effect mortar infiltrated fiber concrete as a perfect repair material for slabs that damaged in compression and tension zones.
Comparative Study of Utilising Neural Network and Response Surface Methodology for Flexible Pavement Maintenance Treatments Abdalrhman Abrahim Milad; Sayf A. Majeed; Nur Izzi Md. Yusoff
Civil Engineering Journal Vol 6, No 10 (2020): October
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/cej-2020-03091590

Abstract

The use of Artificial Intelligence (AI) for the prediction of flexible pavement maintenance that is caused by distressing on the surface layer is crucial in the effort to increase the service life span of pavements as well as reduce government expenses. This study aimed to predict flexible pavement maintenance in tropical regions by using an Artificial Neural Network (ANN) and the Response Surface Methodology (RSM) for predicting models for pavement maintenance in the tropical region. However, to predict the performance of the treatment techniques for flexible pavements, we used critical criteria to choose our date from different sources to represent the situation of the current pavement. The effect of the distress condition on the flexible pavement surface performance was one of the criteria considered in our study. The data were chosen in this study for 288 sets of treatment techniques for flexible pavements. The input parameters used for the prediction were severity, density, road function, and Average Daily Traffic (ADT). The finding of regression models in (R2) values for the ANN prediction model is 0.93, while the (R2) values are (RSM) prediction model dependent on the full quadratic is 0.85. The results of two methods were compared for their predictive capabilities in terms of the coefficient of determination (????2), the Mean Squared Error (MSE), and the Root Mean Square Error (RMSE), based on the dataset. The results showed that the prediction made utilizing ANN was very relevant to the goal in contrast to that made using the statistical program RSM based on different types of mathematical methods such as full quadratic, pure quadratic, interactions, and linear regression.
A Mathematical Model for Ballast Tamping Decision Making in Railway Tracks Mohammad Daddow; Xiedong Zhang; Hongsheng Qiu; Zhihua Zhang; Yingqi Liu
Civil Engineering Journal Vol 6, No 10 (2020): October
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/cej-2020-03091601

Abstract

Ballast tamping is considered as an important maintenance process for railway infrastructures and has a large influence on the capacity of any railway networks. But optimizing the plan of that process is a complex problem with a high cost. This paper discusses optimizing tamping operations on ballasted tracks to improve the track geometry and reduce the total maintenance cost. A mathematical model for this problem in the literature is improved here by including the restriction on the resources (tools, workers and budget) in the model and including constant/variable values for track possession cost and available resources. The optimal solutions obtained for all instances are found by using the global optimization. Besides, a numerical study is presented to test and evaluate the model performance. The results show that the proposed model can be adopted by the infrastructure manager (IM) to make suitable tamping scheduling decisions under normal or private conditions; however, the private conditions lead to an increase of the final cost compared to that of the normal ones. Doi: 10.28991/cej-2020-03091601 Full Text: PDF
Building Information Modeling Strategy in Mitigating Variation Orders in Roads Projects Musab Abuaddous; Ja’far A. Aldiabat Al-Btoosh; Mohammed A. KA. Al-Btoush; Abdulrazzaq Jawish Alkherret
Civil Engineering Journal Vol 6, No 10 (2020): October
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/cej-2020-03091596

Abstract

Most governmental projects in Jordan have cost overrun, it rises during the on-going stage to increase the cost and prolong the time of the project. Unfortunately, until this moment, there is no particular management system in Jordan construction industry to minimize cost overrun and variation order adopted by the government. In contrast, global construction industry has witnessed a huge transformation in terms of the use of digital technologies, particularly Building Information Modeling (BIM) which is a revolutionary digital technology and operation that is reshaping the Architecture, Engineering and Construction (AEC) industry. approach and objectives causes before of this paper are firstly to review the factors contributing to variation orders in governmental road projects in Jordan, secondly, to propose a BIM design applications strategy to minimize variation orders, to achieve the objectives a quantitative approach was followed by distributing a questionnaire, then the data was analyzed statistically using relative importance index, the results were as follow. Our findings suggests that the most important factors causing change orders were as follow: Inaccurate quantity take-off (0.66); Labours or material not meeting the specifications (0.63); Logistic delays (0.60); Internal politics (0.566); and the equipment and tools are not available (0.55). The results also indicate that Contract Parties, Consultant, Contractor and Other Variations had significant positive effects on V. O, whereas the effects of BIM Design Applications, Facility Operations Simulation, Exploration Design Scenarios, BIM Design Detection, (BIM Quantity Take-off and Cost Estimation) had a passive impact on V.O. Lastly, BIM has obtained a great reputability by enhancing the productivity in construction society, minimizing the total cost of the projects, and many other benefits.
Preliminary Amplification Studies of Some Sites using Different Earthquake Motions Bhutani, Manish; Naval, Sanjeev
Civil Engineering Journal Vol 6, No 10 (2020): October
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/cej-2020-03091591

Abstract

Stability of infrastructure during earthquakes demands ground response analysis to be carried out for a particular region as the ground surface may suffer from amplified Peak Ground Acceleration (PGA) as compared to bedrock PGA causing instability. Many studies have been carried out the world over using different techniques but very few studies have been carried out for the northern part of India, Punjab situated at latitude of 31.326° N and longitude of 75.576° E, which is highly seismic and lies in seismic zone IV as per IS:1893-2016. In this paper 1-D equivalent non-linear ground response analysis has been conducted for sixteen sites of Jalandhar region, Punjab (India) by using five earthquake motions. Input ground motions are selected from the worldwide-recorded database based on the seismicity of the region. Based on the average SPT-N values, all the sites have been classified as per the guidelines of National Earthquake Hazard Reduction program (NEHRP). Shear modulus (G) was calculated using correlation between G and SPT–N Value. The ground surface PGA varies from 0.128 to 0.292 g for the sites of Jalandhar region with Amplification Factor values varying from 1.08 to 2.01. Hence the present study will be useful to the structural designers as an input towards suitable earthquake resistant design of structures for similar sites.

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