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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 20 Documents
 1   2 
Search results for , issue "Vol 8, No 12 (2022): December" : 20 Documents clear
The Effects of Recruitment, Selection, and Training Practices on Employee Performance in the Construction and Related Industries Rashed Aldhuhoori; Khalfan Almazrouei; Ahmad Sakhrieh; Muataz Al Hazza; Mohammed Alnahhal
Civil Engineering Journal Vol 8, No 12 (2022): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2022-08-12-012

Abstract

The human resource management of a company is important in today's competitive business environment because employees are the support of the company. The performance of employees is crucial to the success of any corporation. Therefore, this study aims to identify the factors that contribute to better employee performance (EP). In this study, recruitment, selection, and training strategies are examined for their influence on EP in the UAE public sector, including the construction and related industries. Researchers used a structured questionnaire, a deductive approach, and a survey strategy to conduct the research. In this quantitative study, cross-sectional data was collected using the mono method. A sample size of 151 employees from the UAE public sector was used for this study. SPSS (statistical software) has been used to analyze the collected data. The analysis of the study confirmed a direct positive link between recruitment procedure (RP), effective selection (ES), training, and EP. The outcomes also showed a robust effect of ES on EP. In UAE public-sector corporations, training appears to be the least significant factor influencing EP. Public sector employers, such as construction and related industries in the UAE, should consider the significance and selection of enhanced EP. Doi: 10.28991/CEJ-2022-08-12-012 Full Text: PDF
Simulation of Hybrid Mesh Turbomachinery using CFD and Additive Technologies Yuri A. Sazonov; Mikhail A. Mokhov; Inna V. Gryaznova; Victoria V. Voronova; Khoren A. Tumanyan; Mikhail A. Frankov; Nikolay N. Balaka
Civil Engineering Journal Vol 8, No 12 (2022): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2022-08-12-011

Abstract

This paper develops schematics and evaluates the performance of hybrid mesh turbomachinery at the patenting stage of individual technical solutions. This type of turbomachine uses reduced-sized blades and also forms flow channels with a mesh structure between the blades. The research methods are based on simulations using computational fluid dynamics (CFD) and additive technologies. An intermediate conclusion is that a new scientific direction for investigating and creating hybrid mesh turbomachinery equipped with mesh jet control systems was formed to develop Euler's ideas. This paper describes new possibilities for the simultaneous implementation of two workflows in a single impeller: 1) Turbine workflow, and 2) Compressor workflow. Calculation methods showed possible improvements in the performance of the new turbomachines. This paper considers options for mesh turbomachine operation in the two-stage gas generator mode with partial involvement of atmospheric air in the workflow. Preliminary calculations based on examples show that it is possible to expect a two- to four-times increase in thrust when using hybrid mesh turbomachines. Ongoing studies mainly focus on developing multi-mode turbomachinery that works in complicated conditions, such as offshore oil and gas fields, but some research results are applicable in other industries, for example, in developing hybrid propulsion systems or propulsors. Doi: 10.28991/CEJ-2022-08-12-011 Full Text: PDF
Evaluation of Three Natural Coagulant from Moringa Oleifera Seed for the Treatment of Synthetic Greywater Carlos Peña-Guzmán; Beatriz Elena Ortiz-Gutierrez
Civil Engineering Journal Vol 8, No 12 (2022): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2022-08-12-013

Abstract

The scarcity of water has become a growing problem worldwide. The search for new sources has therefore intensified, and one of these sources is greywater. The objective of this article is to evaluate the effectiveness of three different coagulants obtained from Moringa oleiferaseed (seed husk, ground seed, and degreased) in synthetic greywater. The methodology is planned in stages; in the first stage, these seeds were selected, unsheathed, and dried in the sun for 24 hours, and the coagulant was synthesized by a 1 M NaCl solution. In the second stage, the synthetic greywater was prepared in a laboratory and included personal cleaning products and additional chemical components. Finally, a statistical test was employed to evaluate the removal of turbidity and the incidence and behavior of the turbidity, pH, alkalinity, and dissolved oxygen over seven periods and the type of coagulant. It was found that the coagulant degreased obtained the highest percentage of removal (85%) and the coagulant from seed husk had the lowest efficiency with 75%. On the other hand, it was found that parameters such as pH and dissolved oxygen depend on the type of coagulant, while conductivity and alkalinity do not depend on time or the type of coagulant. Doi: 10.28991/CEJ-2022-08-12-013 Full Text: PDF
Some Approaches to the Prediction of Permeability Parameters in a Finite Element Program for Early Warning Krairoj Mahannopkul; Chollada Kanjanakul
Civil Engineering Journal Vol 8, No 12 (2022): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2022-08-12-014

Abstract

Recently, landslides often occurred in natural soil slopes in the tropical region, which correlate with the rainy season. Rainfall infiltration leads to groundwater level fluctuations. The increased positive pore-water pressures due to rainfall influence have affected the properties and behavior of the unsaturated soil slope. In this research, the Finite Element Method of SEEP/W and SLOPE/W analyzes the factor safety of the slope affected by pore water pressure change due to rainfall. The Soil Water Characteristic Curve (SWCC) and Hydraulic Conductivity function were obtained from sieve analysis and Atterberg's limit. In addition, unsaturated soil properties from the UNSODA code are estimated based on grain-size distribution using the SWRC program. The study area is in Khanom District, southern Thailand. The results show that the soil slope at the site became unstable on November 18, 2021, with F.S. = 1.0, which agrees well with the date of the disaster. In conclusion, the slope stability analysis without the parameters from the unsaturated soil hydraulic database (UNSODA) leads to the F.S. value being higher than the actual value, and the alarm estimation would be inaccurate. Doi: 10.28991/CEJ-2022-08-12-014 Full Text: PDF
Analysing the Effect of Cassava Flour as a Mixture on the Physical, Mechanical, and Durability Properties of High-Strength Concrete Marwa Gumma Omer Adam; David O. Koteng; Joseph Ng’ang’a Thuo; Mohammed Matallah
Civil Engineering Journal Vol 8, No 12 (2022): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2022-08-12-015

Abstract

The availability, cost, and environmental impact of chemical admixtures are reduced when natural substitute materials are incorporated into the concrete as an admixture. This paper outlines the findings of a study that looked at the physical characteristics of fresh and hardened concrete made with Portland pozzolanic cement CEM II/B-P blended with cassava flour up to 5% by weight of cement. A low water/binder ratio of 0.35 was used together with a carboxylate-based superplasticizing admixture to produce high strength. In fresh-state concrete, the initial and final setting times, soundness, and consistency were found to increase with increased cassava flour content, whereas the compacting factor and slump were observed to decrease. In the hardened state, compressive strengths were determined at 3, 7, 14, 28, 56, and 90 days, while split tensile and flexural strengths were investigated at 28 days. Similarly, dry density and porosity were also investigated at 28 days. Water absorption was also studied as a potential indicator of durability in hardened concrete. Scanning electron microscopy characterization of cassava flour revealed porous particles of irregular shape. On the other hand, X-ray diffraction imaging showed that the primary chemicals in cassava flour are silicon dioxide (50%), calcium oxide (17%), and aluminium oxide (7%). All of the mixes that incorporated cassava flour were stronger than the control mix, with the 3% cassava flour combination producing the best results. Doi: 10.28991/CEJ-2022-08-12-015 Full Text: PDF
Experimental Comparison of the Bearing Capacity of GFRP Beams and 50% Recycled GFRP Beams Aleksandar Jurić; Tihomir Štefić
Civil Engineering Journal Vol 8, No 12 (2022): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2022-08-12-017

Abstract

This manuscript investigates the possibility of using recycled glass fiber-reinforced polymer for the production of load-bearing elements in construction. Due to the increasing use of GFRP in the world, an increasing amount of waste is generated. The main objective of this research is to expand the use of composite materials in construction and, in particular, to examine the possibilities of original and recycled GFRP. Firstly, the basic characteristics of two different but very similar materials were determined using standard testing samples. Subsequently, experimental beam models were tested as a four-point bending beam model. The beam models used in this experiment were made of two types of materials, glass fiber reinforced polymer (GFRP) and recycled glass fiber-reinforced polymer (RGFRP). The experiments were conducted until the failure of the beam models. The test results are presented in the form of a force/displacement diagram, and the confirmation of the experimental results is shown by means of a numerical model of the beam. Both materials exhibited a very good strength-to-weight ratio, rendering them a suitable choice of material for load-bearing beam elements. Finally, the justification for recycling and the comparison of original and recycled material are presented in a dimensionless diagram. The comparison of these two materials provides some good insights for future research into GFRP beams. Doi: 10.28991/CEJ-2022-08-12-017 Full Text: PDF
Optimization of Green Concrete Containing Fly Ash and Rice Husk Ash Based on Hydro-Mechanical Properties and Life Cycle Assessment Considerations Kennedy C. Onyelowe; Ahmed M. Ebid; Hisham A. Mahdi; Atefeh Soleymani; Hashem Jahangir; Farshad Dabbaghi
Civil Engineering Journal Vol 8, No 12 (2022): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2022-08-12-018

Abstract

The development of sustainable concrete in achieving the developmental goals of the United Nations in terms of sustainable infrastructure and innovative technology forms part of the focus of this research paper. In order to move towards sustainability, the utilization of the by-products of agro-industrial operations, which are fly ash (FA) and rice husk ash (RHA), in the production of concrete has been studied. Considering the environmental impact of concrete constituents, multiple mechanical and hydraulic properties of fly ash (FA) and rice husk ash (RHA) concrete have been proposed using intelligent techniques; artificial neural network (ANN) and evolutionary polynomial regressions (EPR). Also, an intelligent mix design tool/chart for this case under study is proposed. Multiple data points of concrete materials, which were further reduced to ratios as follows; cement to binder ratio (C/B), aggregate to binder ratio (Ag/B), and plasticizer to binder ratio (PL/B) were used in this exercise. At the end of the protocol, it is observed that the constituents’ ratios are dependent on the behavior of the whole, which can be solved by using the proposed model equations and mix design charts. The models performed optimally, as none showed any performance below 80%. However, ANN, which predicted Fc03, Fc07, Fc28, Fc60, Fc90, Ft28, Ff28 & Fb28, S, Ec28 & K28, and P with an accuracy of greater than 95% each with average error of less than 9.4% each, is considered the decisive technique in predicting all the studied concrete properties, including the life cycle assessment potential of the concrete materials. Doi: 10.28991/CEJ-2022-08-12-018 Full Text: PDF
Dam-Break Energy of Porous Structure for Scour Countermeasure at Bridge Abutment Ira Widyastuti; M. Arsyad Thaha; Rita Tahir Lopa; Mukhsan Putra Hatta
Civil Engineering Journal Vol 8, No 12 (2022): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2022-08-12-019

Abstract

The aim of the study is to determine the structure for energy absorption in order to countermeasure the scouring on the bridge abutment. Consider a porous structure for energy absorption, which can reduce flow velocity and depth of scouring due to its porosity. The energy absorber plate demonstrated in triangular shape with several porous as submerged barrier. The investigation was conducted in laboratory and placed the abutment in the middle of the channel with a distance of 3Lb, 5Lb, 7Lb and 9Lb. The plate area consists of 0% (MP1), 5% (MP2), and 10% (MP3). The scour depth measurement (ds) is carried out at 6 crucial points in the abutment area. Comparisons between experimental measurements and a numerical prediction model are presented. The experimental results show that the percentage of frictional velocity in the inhibition area for each pore opening before the obstacle, 31.42% (decreasing), - 9.27% (increasing), and -32.92% (increasing), respectively. Furthermore, the optimum position of the porous energy absorber at 9Lb to the abutment. The magnitude decreases of scour depth obtained from MP2. It can be concluded that the placement of energy absorbers can lead to damping forces. It also found that the porous structures could be beneficial for motion damping and absorber of the scouring. Doi: 10.28991/CEJ-2022-08-12-019 Full Text: PDF
Physiological-based Driver Monitoring Systems: A Scoping Review Siti Fatimah Abdul Razak; Sumendra Yogarayan; Azlan Abdul Aziz; Mohd Fikri Azli Abdullah; Noor Hisham Kamis
Civil Engineering Journal Vol 8, No 12 (2022): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2022-08-12-020

Abstract

A physiological-based driver monitoring system (DMS) has attracted research interest and has great potential for providing more accurate and reliable monitoring of the driver’s state during a driving experience. Many driving monitoring systems are driver behavior-based or vehicle-based. When these non-physiological based DMS are coupled with physiological-based data analysis from electroencephalography (EEG), electrooculography (EOG), electrocardiography (ECG), and electromyography (EMG), the physical and emotional state of the driver may also be assessed. Drivers’ wellness can also be monitored, and hence, traffic collisions can be avoided. This paper highlights work that has been published in the past five years related to physiological-based DMS. Specifically, we focused on the physiological indicators applied in DMS design and development. Work utilizing key physiological indicators related to driver identification, driver alertness, driver drowsiness, driver fatigue, and drunk driver is identified and described based on the PRISMA Extension for Scoping Reviews (PRISMA-Sc) Framework. The relationship between selected papers is visualized using keyword co-occurrence. Findings were presented using a narrative review approach based on classifications of DMS. Finally, the challenges of physiological-based DMS are highlighted in the conclusion. Doi: 10.28991/CEJ-2022-08-12-020 Full Text: PDF
Effect of Vehicular Stream Characteristics on Traffic Noise Amjed J. Abed; Amjad H. Albayati; Yu Wang
Civil Engineering Journal Vol 8, No 12 (2022): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2022-08-12-016

Abstract

Human health can be negatively impacted by exposure to loud noise, which can harm the auditory system. Traffic noise is the leading cause of noise pollution. This paper studies the problem of noise pollution on the roads in Baghdad, Iraq. Due to the increase in vehicle numbers and road network modifications in Baghdad, noise levels became a serious topic to be studied. The aim of the paper was thus to study traffic noise levels and the effect of the traffic stream on noise levels and to formulate a prediction model that identified the guidelines used for designing or developing future roads in the city. Then, the noise levels were measured based on five variables: the functional classification of roads, traffic flow, vehicle speed, distance from the carriageway, and skid number. An analysis of traffic noise prediction was conducted using a simple linear regression model to accurately predict the equivalent sound levels. Finally, the findings have shown that the formulated prediction model gives acceptable prediction noise levels since the R2 is 88.83%. The results showed that the noise levels measured were 23.1% and 48.8% higher than the allowable noise levels limited by Iraqi standards during the daytime and nighttime, respectively. Further, studying the alternatives used to improve the performance of the environment on the existing roads in Baghdad can be considered as a future research direction. Doi: 10.28991/CEJ-2022-08-12-016 Full Text: PDF

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