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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
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Search results for , issue "Vol 7, No 3 (2021): March" : 15 Documents clear
Non-linear Behavior of Low Strength RC Beams Strengthened with CFRP Sheets Ahmed Mohammed Youssef Mohammed; Abdul Rahman Mamoun Ali; Hany Ahmed Abdalla
Civil Engineering Journal Vol 7, No 3 (2021): March
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/cej-2021-03091670

Abstract

There are many modern technologies for strengthening concrete. One of them is Carbon Fiber Reinforcement Polymer (CFRP) sheets. There are many cases that require concrete strengthening, including the weakness of concrete from the design strength due to the exposure of the concrete elements to fires or less control of concrete quality. This research provides a theoretical study to analyze the behavior of low strength RC beams strengthened with CFRP sheets using ANSYS software. The research contained (75) RC beam model specimens. Six of them for verifying results with experimental tests. Forty five specimens were used for studying flexural behavior and twenty four beam models used for studying shear behavior. The study conducted with variable parameters includes CFRP thickness, concrete strength, the yield stress of steel, and the application of CFRP plies. The theoretical results were very similar to experimental test results. The results proved that strengthening RC beams is increasing load capacity and it is very effective in case of low yield stress of steel. Doi: 10.28991/cej-2021-03091670 Full Text: PDF
Performance Evaluation of Vehicle Restraint Systems in the Context of Design and Installation Shahram Tahmasseby; Deepti Muley; Bernd Wolfgang Wink
Civil Engineering Journal Vol 7, No 3 (2021): March
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/cej-2021-03091665

Abstract

Vehicle Restraint Systems (VRS), a necessary component of the road design, are widely implemented by transport authorities to protect vehicles from severe incidents, mainly colliding to the roadside as well as median obstacles and other potential hazards. The performance evaluation of vehicle restraint systems at the design and installation stages is largely made according to either European or American standards. The local traffic conditions and vehicle compositions in countries, which are noticeably different from Europe and North America, necessitate a customized guideline in which the design and installation of road safety barriers are more adapted to the local conditions of the country. This paper briefly reviews the main features of EN1317, and NCHRP 350/MASH standards, which are predominantly used for the design, installation, and performance evaluation of VRS in Europe and the United States respectively. Moreover, the contribution of these standards in developing the VRS guideline for the State of Qatar is explained. The study recommends customizations to the design and installation of VRS, which are presently implemented according to the guideline developed by the Public Work Authority in Qatar. The present guideline follows European as well as American standards. The recommendations are made based on empirical studies and evidence observed by undertaking a series of site visits, audits, and perform inspections of VRS components installed on Qatari roads and highways. The study findings demonstrate the performance of VRS can be enhanced by incorporating the design and selection of road safety components such as guardrails, terminals, transitions, and crash cushions at the preliminary design stage of roads and highways. This study brings about practical insights and implications for road designers, contractors, supervision teams, and road safety auditors. Doi: 10.28991/cej-2021-03091665 Full Text: PDF
Investigation of Innovation during Bid Evaluation Process in the Road Construction Industry Pardeep Kumar Oad; Stephen Kajewski; Arun Kumar; Bo Xia
Civil Engineering Journal Vol 7, No 3 (2021): March
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/cej-2021-03091676

Abstract

Tender evaluation is the procedure of choosing the best contractor for a particular project from many applicants. Although rational and logical methods can be used for bidding strategies, bid evaluation remains a skill for which an engineer’s verdict is crucial. Contractors commonly witness that tender selection is not an easy job, and the lowest bid does not necessarily win the contract. The tender decision mainly depends on quantifiable measures such as financial costs and paybacks, and qualitative or invisible factors like administrative security accountability, aptitude, and the proficiency of the contractors. Moreover, Bid evaluation is a decision-making procedure that incorporates an extensive criteria range for which the information is not accordingly. Hence, ambiguity linked to such information is not appropriate for this study. This paper aims to evaluate innovation during the bid evaluation process in the road industry. The research results indicate that the private and public sectors in Australia offer innovative products and work methods, given the chance. Therefore, innovation during the bid evaluation process is welcomed and sometimes strongly encouraged. Further, it is important to have strong research in to how to effectively determine value for money in the context of developing suitable and quality roads. Therefore, this research is useful in the context of evaluating factors that help to understand value for money in the road sector in context of bid evaluation process. Doi: 10.28991/cej-2021-03091676 Full Text: PDF
Influence of Aggregates on Stripping Behavior of Bituminous Mixes Hillol Chakravarty; Sanjeev Sinha; Girijesh Kumar
Civil Engineering Journal Vol 7, No 3 (2021): March
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/cej-2021-03091671

Abstract

Moisture damage leads to premature failure of flexible pavements. The removal of bituminous coating from aggregates lead to the disintegration of bituminous mixes and is known as stripping. Various mechanisms and factors have been identified to play a role in the process, properties of aggregates being one of the major factors. This study is an attempt to analyze the influence of chemical, mineralogical and physical properties of aggregates on the stripping propensity of the loose mix. For this purpose, aggregates are chosen from six different quarry sites with diverse chemical compositions used for construction and maintenance of a large network of roads. Stripping tests are thereafter conducted on the aggregates using different percentage of hydrated lime. The amount of hydrated lime required for the prevention of stripping for concerned aggregate sources is determined. The research leads to the findings that the presence of elements such as silicon and potassium leads to a decrease in bond strength whereas the presence of calcium, sodium, iron, magnesium and aluminium enhanced the bond strength. Statistical tools and techniques are used to verify the results. Comparatively softer aggregates showed lesser resistance to stripping which could be inferred from aggregate impact and Los Angeles abrasion tests. The findings of the study can be helpful in the selection of aggregates with different chemical content for bituminous road construction depending upon the sensitivity to stripping. Doi: 10.28991/cej-2021-03091671 Full Text: PDF
Predicting Performance Measurement of Residential Buildings Using an Artificial Neural Network Mohammed, Salah J.; Abdel-khalek, Hesham A.; Hafez, Sherif M.
Civil Engineering Journal Vol 7, No 3 (2021): March
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/cej-2021-03091666

Abstract

Application Earned Value Management (EVM) as a construction project control technique is not very common in the Republic of Iraq, in spite of the benefit from EVA to the schedule control and cost control of construction projects. One of the goals of the present study is the employment machine intelligence techniques in the estimation of earned value; also this study contributes to extend the cognitive content of study fields associated with the earned value, and the results of this study are considered a robust incentive to try and do complementary studies, or to simulate a similar study in alternative new technologies. This paper is aiming at introducing a novel and alternative method of applying Artificial Intelligence Techniques (AIT) for earned value management of the construction projects through using Artificial Neural Networks (ANN) to build mathematical models to be used to estimate the Schedule Performance Index (SPI), Cost Performance Index (CPI) and to Complete Cost Performance Indicator (TCPI) in Iraqi residential buildings before and at execution stage through using web-based software to perform the calculations in the estimation quickly, accurately and without effort. ANN technique was utilized to produce new prediction models by applying the Backpropagation algorithm through Neuframe software. Finally, the results showed that the ANN technique shows excellent results of estimation when it is compared with MLR techniques. The results were interpreted in terms of Average Accuracy (AA%) equal to 83.09, 90.83, and 82.88%, also, correlation coefficient (R) equal to 90.95, 93.00, and 92.30% for SPI, CPI and TCPI respectively. Doi: 10.28991/cej-2021-03091666 Full Text: PDF

Page 2 of 2 | Total Record : 15

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