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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 1,848 Documents
 177   178   179   180   181 
Using the Kalman Filter with Satellite Altimetry to Estimate the Water Level of Inland Water Aryan, Murtadha; Bin Rasib, Abd Wahid; Hassan, Muhammad Imzan; bin Hamden, Muhammad Hanif
Civil Engineering Journal Vol. 11 No. 10 (2025): October
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-10-018

Abstract

The Euphrates River extends for approximately 2,700 km, making it the longest river in Southwest Asia. Reliable water level measurements are obtained through the integration of an advanced outlier rejection system with Kalman filter technology. This study employs water level data from the Database for Hydrological Time Series over Inland Waters (DAHITI) and validates them using in situ measurements collected from gauging stations along the Euphrates River. To improve the accuracy of water level time series across the study area (Lat: 31.9676, Lon: 44.9306 to Lat: 31.0955, Lon: 46.0942), the research incorporates multibeam altimetry data from Envisat, Jason-2, and Sentinel-3A/B/B. Validation of the altimetry techniques is carried out by comparing DAHITI water level records with in situ measurements and other satellite-based datasets. Both the Kalman filter and Hydroweb methods yield Unbiased Root Mean Square Difference (ubRMSD) values ranging between 0.2961–0.3922 cm and 0.536–0.577 cm, respectively. The Nash-Sutcliffe Efficiency coefficient for DAHITI-derived water levels varies between 0.5971 and 0.9831, while Hydroweb produces values from –0.871 to 0.567. Overall, DAHITI-based altimetry height estimates demonstrate superior accuracy compared to other altimeter datasets in most parts of the Euphrates River, with precision strongly influenced by river topography. The application of Kalman filtering further enhances water level monitoring, particularly in regions characterized by complex inland water structures.
Enhancing Post-Fire Performance of Lightweight RC Slabs Using Expanded Polystyrene and Steel Fibers: An Experimental Study Abd, Alaa A.; Abbas, Rafaa M.
Civil Engineering Journal Vol. 11 No. 10 (2025): October
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-10-03

Abstract

Aggregate significantly influences the mechanical properties of concrete material and has a crucial role in post-fire behavior. This research focuses on investigating the post-fire behavior of a fiber-reinforced one-way slab made from lightweight expanded polystyrene (EPS) aggregate concrete. The experimental study consisted of testing fourteen fiber-reinforced self-compacting concrete (SCC) one-way slabs with EPS as a partial replacement of coarse aggregate. All specimens have identical dimensions of 1800×500×125 mm. The main parameters investigated included fire exposure, EPS replacement ratio, and steel fiber content. The tested specimens were divided into two groups. The first group included seven specimens tested under monotonic static load, whereas the seven specimens of the second group were tested under monotonic static load after being exposed to a steady-state temperature of 700°C for one hour. Following exposure to fire, results revealed a dramatic decrease in the structural performance of the slab specimens, including cracking load, ultimate load, stiffness, absorbed energy, and ductility, especially for the non-fibrous lightweight samples. However, adding EPS beads in the concrete mixture helps in reducing strength degradation due to fire exposure, and the higher the EPS content, the less strength degradation. This result exposed the positive impact of EPS on the structural performance of RC lightweight slabs exposed to fire due to their thermal properties. Moreover, results revealed a significant enhancement in post-fire stiffness, ductility, and absorbed energy of the RC slab due to steel fiber inclusion, showing their constructive impact on the slab performance.
Geodynamic Processes Monitoring of Subway Infrastructure Using Geodetic and Remote Sensing Methods Khamit, Nurzhan; Jangulova, Gulnar; Kakimzhanov, Yerkin; Kyrgyzbay, Kudaibergen; Zhumatayev, Serik; Atalykova, Nazym; Kozhaev, Zhenis
Civil Engineering Journal Vol. 11 No. 10 (2025): October
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-10-021

Abstract

This article examines the development of a methodology for monitoring geodynamic processes during the construction of the Almaty metro using an integrated approach that incorporates geodetic methods, laser scanning, and aerospace technologies. The study aims to enhance the safety of underground structures in the context of complex engineering-geological conditions and high-density urban environments. Monitoring was conducted at the "Saryarka" and "Bauyrzhan Momyshuly" stations, employing underground polygonometry, aerial surveys with unmanned aerial vehicles (DJI Mavic 3 multispectral), laser scanning (Faro Focus 3D X), and finite element numerical modeling (PHASE 2, AutoCAD Civil 3D). The geodetic work covered a 3201-meter section with the installation of 34 benchmarks, ensuring a relative measurement error of no more than 1:30,000. Laser scanning achieved an average point cloud density of 7 mm, enabling the creation of precise 3D tunnel models, identification of deviations from the design axis, and determination of critical stress zones. The study revealed that at a depth of 32.28 m, the maximum vertical stress reached 11.2 MPa, and horizontal stress was 2.7 MPa. At a depth of 19.58 m, the vertical stress reached 10.5 MPa, while the horizontal stress was 2.47 MPa. The maximum concentration of stresses in critical zones reached 20 MPa. The use of UAVs and aerospace technologies facilitated the creation of a highly accurate digital terrain model and the identification of potential deformation zones. The findings confirm the necessity of regular monitoring in dense urban and seismically active areas and demonstrate the potential of integrating modern technologies to improve the precision and efficiency of geodynamic assessments. The proposed methodology can be applied not only to metro construction but also to other underground structures, including mining industry facilities, both in Kazakhstan and internationally.
Performance Evaluation of Composite CNT/PE-Modified Asphalt Concrete at Binder, Mixture, and Pavement Levels Albayati, Amjad H.; Al-Mosawe, Hasan; Maher, Ahmed M.; Al-Ani, Aliaa F.; Moudhafar, Mustafa M.
Civil Engineering Journal Vol. 11 No. 10 (2025): October
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-10-022

Abstract

Advancing the multi-scale performance of asphalt pavements requires innovative binder modifications that address limitations in rutting resistance, fatigue resistance, and durability across the binder, mixture, and structural levels. This study evaluates the performance of asphalt cement, mixtures, and pavement systems modified with a combination of polyethylene (PE) and carbon nanotubes (CNTs). The binder was modified using 4% PE and varying CNT contents (0.5%, 1%, 1.5%, and 2% by weight of the modified binder). Binder performance was assessed through conventional and rheological tests, including penetration, softening point, viscosity, performance grade (PG) evaluation, and master curve analysis. Mixture-level performance was evaluated using Marshall properties, rutting, resilient modulus, and fatigue tests. Long-term pavement behavior was predicted using VESYS 5W software. The results showed that incorporating 1.0% CNT with 4.0% PE significantly improved binder rheology, increasing the true failure temperature by approximately 10% compared to the reference binder. Complex modulus and phase angle master curves also indicated notable improvements at low frequencies. Mixtures containing 2% CNT demonstrated approximately one-third of the permanent strain observed in the reference mix, while PCNT1.0% exhibited the best fatigue resistance. These findings highlight the significant role of combining plastomeric modifiers (PE) with nanoscale materials (CNTs) in enhancing the performance of asphalt binders and mixtures.
Geomechnical Characterization of Lateritic Soil by Combining Crushed Granite and Low Content of Cement Mbengue, Marie Thérèse Marame; N’tsoukpoe, Jeannot Komi; Messan, Adamah; Ayite, Mawuénya Xolali Dany
Civil Engineering Journal Vol. 11 No. 10 (2025): October
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-10-020

Abstract

Lateritic soils, which are widespread in intertropical regions and traditionally used as pavement sub-base layers in Burkina Faso, often exhibit low geomechanical performance, thereby limiting their long-term durability under increasingly heavy traffic loads. This study investigates a combined stabilization approach consisting of incorporating 20% of 10/20 crushed granite aggregates together with low cement content (0%, 1%, 2%, and 3%). The objective was to improve both the mechanical properties and fracture behavior of these soils, while reducing the environmental footprint associated with cement use. Accordingly, an experimental program was carried out, including geotechnical tests (maximum dry density, optimum moisture content, and CBR at 95% compaction) and mechanical characterizations (unconfined compressive strength, indirect tensile strength, Young’s modulus, and full stress–strain behavior under uniaxial compression). The results revealed substantial improvements when 20% aggregates and 3% cement were added to the raw soil: the maximum dry density increased by approximately 5%, the CBR by 2253%, the compressive strength by 134%, the indirect tensile strength by 85%, and the Young’s modulus by 195%. Regarding fracture behavior, the same mixture showed an enhanced energy absorption capacity, with increases of approximately 40% for fracture energy, 65% for peak energy, 87% for elastic energy, 18% for plastic energy, and 5% for post-peak energy. These findings confirm that the combination of crushed aggregates and low cement content produces a synergistic effect, yielding a material that is stronger, stiffer, more water resistant, and more ductile. Thus, innovative stabilization approach represents a promising alternative for sustainable road construction.
Empirical Analysis of Risk Behavior in Truck Drivers Across Industrial Zones and Policy Recommendations Seefong, Manlika; Wisutwattanasak, Panuwat; Se, Chamroeun; Banyong, Chinnakrit; Theerathitichaipa, Kestsirin; Jomnonkwao, Sajjakaj; Champahom, Thanapong; Ratanavaraha, Vatanavongs; Kasemsri, Rattanaporn
Civil Engineering Journal Vol. 11 No. 10 (2025): October
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-10-010

Abstract

Truck drivers play a crucial role in industrial development but face disproportionately high risks of traffic-related injuries and fatalities. These risks arise from complex traffic conditions, especially in truck-congested industrial zones, and economic pressures that encourage risky driving behaviors. This study investigates key factors influencing these behaviors among truck drivers in industrial zones using an integrated framework combining the Health Belief Model and Protection Motivation Theory, a novel approach in this context. A random parameter model was employed to account for unobserved heterogeneity in drivers’ responses. The results highlight several significant psychological factors: perceived susceptibility (when drivers perceive the risk of crashes while driving), perceived severity (when drivers feel that crashes will impact their work), perceived barriers (when truck drivers perceive that fastening seat belts causes discomfort and when they perceive safety equipment for vehicles as expensive and unaffordable), cues to action (when truck drivers encounter safe driving campaigns), and health motivation (when truck drivers prioritize adequate rest and relaxation). Additionally, the study identifies route familiarity as a random effect, revealing variations in how this factor influences behavior across individuals. The study provides practical, evidence-based policy recommendations aimed at reducing road injuries and fatalities among truck drivers, offering valuable insights for policymakers, transport authorities, and logistics stakeholders.
Adaptive Stilt Housing and Socio-Ecological Resilience in Coastal Settlements Under Urbanization Pressure Asmal, Idawarni; Hayati, Arina; Suryani, Sri; Nadjmi, Nurul
Civil Engineering Journal Vol. 11 No. 10 (2025): October
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-10-011

Abstract

The water-based settlement of Cambayya, Makassar, represents a spatial adaptation by coastal communities facing urbanization, land scarcity, and dynamic marine conditions. High population density has driven the organic growth of informal stilt housing over coastal waters. This study examines spatial adaptation strategies that foster socio-ecological resilience in densely populated coastal environments. Utilizing a mixed-methods approach within a constructivist paradigm, the research combines spatial analysis, participatory observation, field surveys, interviews, and socio-ecological data interpretation. The findings reveal key adaptive responses, including the conversion of underfloor stilt areas into domestic space, the use of hybrid timber-concrete structures, and horizontal expansion into shallow waters. While adaptive, these practices exacerbate ecological degradation, such as tidal flooding, pollution, and inadequate sanitation. The study highlights the need for inclusive, sustainable spatial planning and proposes an innovative strategy: integrating stilt housing with waterfront development and cultural seascape tourism. This approach not only enhances resilience but also unlocks economic potential—estimated at over IDR 3.5 billion annually—through heritage-based ecotourism and creative industries. The study contributes a context-sensitive, community-driven spatial model for resilient coastal urbanism, positioning Cambayya as a reference for sustainable development in similar tropical coastal settlements.
Study on Shear Behavior of Reinforced Concrete Beams Confined with Reinforcing Meshes Abdulkareem, Bashar F.; Ibrahim, Teghreed H.; Mohammed, Hussein K.; Allawi, Abbas A.
Civil Engineering Journal Vol. 11 No. 10 (2025): October
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-10-012

Abstract

This study reveals the results of a numerical simulation performed using the ABAQUS/CAE finite element program. The study aimed to provide a simulation model that can forecast the shear behavior of reinforced concrete beams confined with reinforcing meshes. Limited numerical studies have been conducted using geogrid or FRP mesh as shear reinforcement, with limited representation accuracy and limited material quality. The results were compared to published experimental findings in the literature. The finding of the finite element model and the experimental results were highly comparable; consequently, the model was determined to be valid. Following this, the domain of numerical analyses was broadened to include the investigation of many aspects, like the material of reinforcement mesh, the angle of inclination of mesh strip, and the number of mesh strips. The results show that the inclined strip beams gave ultimate loads greater than the beams with vertical strips, where the ultimate load for beams with inclined strips was higher than that for beams with vertical strips by 5.6, 2.5, and 9.4% for beams with geogrid, geotextile, and GFRP mesh, respectively. The smaller the strip width and the larger the number, the better. Beams with inclined strips (45°) gave higher ductility indexes than similar beams with vertical strips. Beams with six strips (width of 50 mm) gave higher ductility indexes than similar beams with four strips (width of 75 mm).
Predicting Soil Electrical Resistivity Using Geotechnical Properties and Artificial Neural Networks Sangprasat, Kornkanok; Puttiwongrak, Avirut; Inazumi, Shinya
Civil Engineering Journal Vol. 11 No. 10 (2025): October
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-10-04

Abstract

This study investigates the influence of key geotechnical parameters—water content, dry density, and plasticity index—on soil electrical resistivity, with the goal of improving prediction accuracy for substation grounding system design. A dataset comprising 150 laboratory test results was compiled from soil samples collected at three substations in Thailand, representing diverse moisture conditions to reflect field variability. Two modeling approaches were applied: multiple regression (MR) and artificial neural networks (ANN), evaluated using the coefficient of determination (R²) and root mean square error (RMSE). The MR models achieved relatively strong correlations, with R² values up to 0.8281; however, their higher RMSE values indicated limited precision under variable conditions. In contrast, the ANN models, particularly those incorporating the plasticity index, demonstrated superior performance, achieving lower RMSE values—down to 0.057—highlighting their ability to capture complex nonlinear relationships. In comparison to prior studies that often relied on single-variable models or uniform soil datasets, this research adopts a more integrative and generalizable framework. By incorporating multiple soil parameters into the ANN model and validating against a diverse dataset, the study offers practical insights for engineering applications. The findings are particularly valuable in tropical regions where soil moisture variation significantly impacts resistivity and grounding system performance.
Geopolymer Mortars from Tuff Waste: A Circular Approach Muradyan, Nelli; Arzumanyan, Arusyak; Kalantaryan, Marine; Khachatryan, Kristina; Zendri, Elisabetta; Arzumanyan, Avetik
Civil Engineering Journal Vol. 11 No. 10 (2025): October
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-10-07

Abstract

This study explores the potential use of volcanic tuff mining waste in geopolymer mortar formulations, aiming to enhance recycling and promote sustainable construction. Two filler-to-binder ratios (70/30 and 65/35) were developed using a geopolymer binder composed of tuff waste, dolomite powder, and sodium silicate. The mortars were subjected to heat treatments at 200, 350, 500, and 650°C for 8.5 hours. Compared to natural tuff (reference sample), water absorption decreased from 16.8% to 7.7%, with the lowest absorption observed in the 65/35 composition. Flexural strengths increased by 0.97% to 117.1%, and compressive strengths improved by 17.8% to 97.1%, reaching their maximum at 500°C; at 650°C, strengths declined due to water evaporation, shrinkage, and microcrack formation. Softening coefficients increased by over 10%, indicating enhanced resistance to water-induced softening. The study demonstrates that incorporating dolomite powder improves water resistance, while tuff waste serves effectively as both filler and binder component. Moreover, geopolymer mortars produce significantly lower CO₂ emissions (0.133 t/m³) compared to ordinary Portland cement mortars (0.415 t/m³), highlighting their environmental advantage. These results underscore the potential of tuff-based geopolymer mortars for sustainable construction applications.

Page 179 of 185 | Total Record : 1848

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