cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
,
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 24 Documents
 1   2   3 
Search results for , issue "Vol. 11 No. 12 (2025): December" : 24 Documents clear
Assessing Urban Characteristics: The C-DNA As a Catalyst of Urban Morphogenesis Alsaffar, Noor Hadi; Abdullah, Sally Fakhri Khalaf; Alobaydi, Dhirgham; Hussein, Mohammed Mahdi; Al-Qaysi, Marwan A. J.
Civil Engineering Journal Vol. 11 No. 12 (2025): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-12-014

Abstract

Historic city centers are cultural archives where built forms and spatial practices hold the collective memory of generations. In Baghdad, the concept of Cultural DNA (C-DNA) is a tool to understand how cultural codes are the generative rules that shape the evolution and persistence of the historic urban fabric. This research explores the role of C-DNA as a trigger of urban morphogenesis in Rusafa, the historic heart of Baghdad, by looking into how cultural values underpin spatial continuity, change, and adaptability. The study uses Space Syntax methodologies with DepthmapX, supported by historical maps, surveys, and field observations, to analyze two morphological stages of Rusafa: 1850 and now. Through axial analysis, the research measures integration, connectivity, choice, and control to evaluate key urban characteristics: centrality, hierarchy, privacy, and territoriality. This comparative approach highlights both continuity and disruption in the historic fabric. The results show that cultural nuclei (mosques, markets, khans, and schools) are still the central points of the city, anchoring movement and interaction across centuries. Despite the disruption caused by modern interventions like Al-Rashid Street, the organic urban fabric still holds the capacity to sustain privacy, territoriality, and hierarchical spatial arrangements. The findings prove C-DNA is not a metaphor but an operational system that generates urban order and resilience. The study concludes that understanding C-DNA is crucial for developing sustainable revitalization strategies in Baghdad and similar Islamic historic cities. By treating culture as the city’s genetic code, planners and policymakers can design interventions that preserve cultural identity while accommodating urban needs.
Performance Characterization for Polymer Modified Bitumen Contained Newly Used Terpolymer Chafat, Osamah H.; Al-Humeidawi, Basim H.; Abed, Alaa H.
Civil Engineering Journal Vol. 11 No. 12 (2025): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-12-022

Abstract

Polymer-modified bitumen (PMB) plays a vital role in extending the service life of hot mix asphalt (HMA) used in flexible pavement construction. Several types of polymers have been used to produce PMB, among which styrene–butadiene–styrene (SBS) is the most widely used. However, the use of SBS in PMB production presents several limitations, including storage stability issues, high mixing temperatures, and the requirement for a relatively high modifier content. The present research investigated the use of a new terpolymer, EVA-GMA (LOTADER® AX8670T), for PMB production and compared the resulting PMB with PMB produced using 4% SBS polymer. Rheological, performance, and chemical composition tests were conducted on neat bitumen as well as PMB modified with EVA-GMA and SBS. The results indicated that the optimal LOTADER® AX8670T content required to produce PMB was 2.5%. In addition, storage stability increased by 11% compared to 4% SBS-modified PMB. The viscosity was found to be 50% higher than that of asphalt modified with 4% SBS-PMB and 100% higher than that of unmodified asphalt. The performance grade (PG) was determined to be PG 82-10 for both PMB types, while unmodified bitumen exhibited a PG of 76-10. Based on these results, it can be concluded that PMB produced with LOTADER® AX8670T can perform comparably to SBS-modified PMB while requiring a lower modifier content, lower mixing temperatures, and offering improved storage stability, thereby enhancing economic, production, and environmental aspects.
Robust Ensemble Machine Learning for Flash Flood Susceptibility Mapping Across Semiarid Regions Talha, Soukaina; Akhssas, Ahmed; Aarab, Abdellatif; Aabi, Ayoub; Berkat, Badr; Amouch, Said
Civil Engineering Journal Vol. 11 No. 12 (2025): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-12-02

Abstract

Flash floods cause severe environmental and socio-economic impacts in arid and semi-arid regions. This study aims to improve the accuracy of flash flood susceptibility mapping in southwestern Morocco’s Assaka watershed by using an ensemble of machine learning models. Four models, Logistic Regression (LR), Multivariate Discriminant Analysis (MDA), Naïve Bayes (NB), and Multilayer Perceptron (MLP), were trained on a flood inventory of over 1.5 million data points and 14 environmental factors (e.g., altitude, slope, land surface temperature, soil moisture index). Each model produced a susceptibility map, and a voting ensemble of the top-performing models (all above 80% accuracy) further improved reliability. The MLP achieved the highest predictive performance, followed closely by LR and MDA. Sensitivity analysis identified altitude, topographic position index, land surface temperature, and soil moisture index as the most influential factors. The ensemble susceptibility map highlights densely populated areas near the city of Guelmim and infrastructure along major rivers as most prone to flash flooding. These findings enable practical mitigation measures such as improved drainage, early warning systems, and better land-use planning in high-risk zones. Integrating multiple models in an ensemble is a novel approach that reduces uncertainty and provides a more robust tool for flash flood risk prediction.
Effect of Air Pressure on Changes in Parameters and Soil Settlement Behavior in Very Soft Soils Sutarman, Encu; Wardani, Sri Prabandiyani Retno; Muntohar, Agus Setyo
Civil Engineering Journal Vol. 11 No. 12 (2025): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-12-020

Abstract

An effective soil improvement method is essential in soft soil due to the poor bearing capacity for construction loads. To address the challenge, the use of the staged air pressure method with Suction Assisted Vacuum Preloading (SAVP) has shown significant potential when applied through Geosystem Air Booster Vacuum Preloading (GAVP), specifically designed with a sensor system as a real-time measuring tool for soil parameter changes. Therefore, this research aims to examine the effectiveness of the SAVP method in relation to the discharge of drained water from prefabricated vertical drains (PVD) on changes in soil parameters due to air pressure and vacuum using the GAVP tool. The method used five PVDs in large-diameter soil sample tubes, applying air pressure and vacuum simultaneously and selectively. This experimental setup was designed to examine the fundamental aspects of soil parameter changes, namely permeability, consolidation, and volume compression coefficient. The results showed that soil parameters during testing interacted with each other, where air pressure balanced with vacuum caused changes and optimized settlement and consolidation efficiency. Decreasing air pressure enhanced vacuum performance, causing a corresponding rise in soil settlement and consolidation degree. However, increasing air pressure decreased soil settlement and the degree of consolidation.
Quantifying Slope Stability and Landslide Susceptibility Through Rainfall-Induced Geotechnical Assessment Nasir, Nur Fazielah; Mohamad, Habib M.; Haziq Rosly, Mohammad; Omar, Heryanti Awang; Hamansa, Harryanshah
Civil Engineering Journal Vol. 11 No. 12 (2025): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-12-017

Abstract

Landslides are a major hazard to people and infrastructure, especially in areas with weak geology and high rainfall. This study examined soil properties and slope stability in Ranau (RNU) and Kota Belud (KB), Sabah. Soil tests showed that RNU had 2–21% clay with cohesion of 3.49–9.7 kPa, while KB soils contained 2–17% clay, more sand and gravel, and much lower cohesion of 0.5–1.1 kPa, indicating weaker strength and higher permeability. Rainfall data from 2013–2023, provided by the Malaysian Meteorological Department, were used to develop Intensity-Duration-Frequency (IDF) curves. Results showed that 1-hour intensities increased from 0.92 mm/hr at ARI-2 to 2.18 mm/hr at ARI-100, reflecting the variation of extreme rainfall. Slope stability was analyzed using GeoStudio’s SEEP/W and SLOPE/W to simulate infiltration and compute the Factor of Safety (FOS). In RNU, FOS rose from 2.481 to 2.565 after 24 hours, showing stable slopes. In KB, FOS declined from 2.495 to 2.379 under ARI-100 rainfall, along with higher pore-water pressures. Both slopes remained above the safe limit of 1.50, but KB proved more vulnerable to long rainfall. Compared with earlier studies, this research introduces a decade-long dataset combined with numerical modelling to demonstrate the dynamic response of tropical slopes. The findings provide practical contributions to slope design, drainage management, and disaster risk reduction in regions experiencing similar climatic and geological conditions.
The Effect of Fiberglass Paint Coating on the Shear and Flexural Strength of Concrete Blocks Juliafad, Eka; Restu, Lisyana Junelin; Yusmar, Fajri; Sandra, Nevy; Putra, Rusnardi Rahmat
Civil Engineering Journal Vol. 11 No. 12 (2025): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-12-04

Abstract

This study uses an experimental method to investigate the behavior of concrete blocks coated with fiber paint, focusing on their shear and flexural strength, ductility, stiffness, and energy dissipation to enhance their mechanical performance. The fiber paint coatings used in this study were applied in different thicknesses, namely 1 mm, 2 mm, and 3 mm. The results show that a 3 mm coating provided the highest improvement, with shear and flexural strengths increasing by 47.36% and 66.06%, respectively. Flexural ductility improved by up to 32%, while stiffness increased by 12% in flexure and 13% in shear. Energy dissipation also showed significant enhancement; total flexural energy increased from 1.38 kNmm to 10.76 kNmm at 3 mm, and shear energy dissipation reached 50.72 kNmm at 3 mm. These results confirm that fiber paint can enhance the shear and flexural strength, ductility, stiffness, and energy dissipation of concrete blocks. This study introduces fiber paint as a practical reinforcement method for concrete block materials, offering a simple, easy-to-apply, and cost-effective alternative that improves both mechanical and aesthetic performance.
Three-Dimensional Finite Element Evaluations of H-Steel Beams Strengthened with Various Types of Steel Stiffeners Atshan, Ali F.; Radi, Mohammed A.; Kadhum, Ali Kifah; Assi, Malik H.; Hacheem, Zuhair Abd; Taresh, Noor S.
Civil Engineering Journal Vol. 11 No. 12 (2025): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-12-06

Abstract

Three-dimensional finite element analyses were carried out to assess the impact of various types of lateral stiffeners on the response of steel beams. Hot-rolled simply supported H-steel beams were modeled in Abaqus and strengthened with centrally located vertical, V-shaped, inverted V-shaped, single X-shaped, or doubled X-shaped stiffeners. All these stiffeners possess a similar quantity of steel by varying the length and thickness of the stiffeners. The behavior of beams was studied in the elastic phase, hardening phase, necking phase, and failure. The yield stress, ultimate load, deflection value, and hardening in the three phases were also examined. It has been found that the findings indicate that altering the configuration of the stiffener, while maintaining its location and steel volume, can influence the response of the strengthened beam either favorably or adversely. Two stiffeners raised the yield load by 9.6%, the ultimate load by 10.8%, and elastic storage energy by 70% above the reference beam. One kind of stiffener increases in the plastic region, two types drop somewhat, and two others decrease significantly. The necking region shows a rise of 237% in one threshold and 36% to 90% for the other beams compared to the reference beam. Furthermore, the software provides a definitive indication of the kind of stiffener and the degree of its advantage, while simultaneously revealing the type of stiffener that is not advantageous.
Probabilistic Reliability Framework for Nanomaterial-Stabilized Soft Clays: Model Calibration and Geometry Effects Khalaf, Fawzi Kh.; Mohd Pauzi, Nur Irfah; Fattah, Mohammed Y.; Mostafa, Karim Sherif; Sidek, Norbaya; Hafez, Mohamed A.
Civil Engineering Journal Vol. 11 No. 12 (2025): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-12-03

Abstract

The stabilization of soft clay soils using nanomaterials offers a promising alternative to conventional additives such as lime and cement, yet most studies remain deterministic, neglecting soil variability and treatment geometry. This study proposes an experimental–probabilistic framework combining triaxial shear and model footing tests with Monte Carlo simulations to evaluate nano-SiO₂, nano-MgO, and nano-clay. Dosages from 1% to 5% were examined, and 3% was selected as optimal based on strength improvement and economic feasibility. Classical bearing capacity models (Terzaghi, Meyerhof, Hansen) were applied and calibrated using regression factors, with input variability modeled under normal and lognormal distributions. Results indicate that nano-MgO achieved the lowest probability of failure ( < 0.1), nano-SiO₂ showed intermediate but geometry-sensitive performance, and nano-clay provided limited reliability. The calibrated Terzaghi model (R² = 0.742) yielded the most consistent predictions. Enlarged treatment zones improved stress redistribution and reduced failure risk. The study also identifies priorities for future work: durability under cyclic loading, hybrid nanomaterial blends (e.g., SiO₂ + MgO), and scalability for large infrastructure projects. Collectively, the findings establish a reliability-based framework that integrates probabilistic modeling, calibration, and material geometry optimization for resilient geotechnical design.
Statistical (SPSS) Models: Ultimate Uplift Capacity of Horizontal Square Anchor Plate Daibil, Ali R.; Al-Saidi, A’amal A. H.
Civil Engineering Journal Vol. 11 No. 12 (2025): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-12-010

Abstract

This paper examines the relationship between ultimate capacity and vertical displacement for single anchors and line anchor groups (1×2), (1×3), (1×4), and (1×5), in relation to the number of anchors and the embedment depth. Studies addressing statistical analysis in this area are limited; therefore, it was considered appropriate to conduct a statistical investigation to support this field with analytical results and to provide a foundation for future research. The statistical analysis for the single anchor plate indicated that the correlation between ultimate capacity, number of anchors, and embedment depth was strong, with acceptable values of R and R² and a well-fitting mathematical model. In contrast, vertical displacement showed insufficient mathematical representation when analyzed against the number of anchors and embedment depth, as vertical displacement is influenced by additional factors such as loading duration (creep effects), soil unit weight, plate shape and dimensions, internal friction angle, and moisture content, rather than by ultimate capacity alone. When the number of anchor plates in a group exceeds three, the vertical displacement at system failure increases due to the reduced strength of the soil associated with larger anchor groups.
Finite Element Analysis of Concrete Beams Reinforced with Basalt Fiber-Reinforced Polymer Sinthorn, Poramin; Kosittammakul, Anchalee; Tirapat, Supakorn; Foytong, Piyawat; Intarit, Pong-in; Sapsathiarn, Yasothorn; Kaewjuea, Wichairat; Thongchom, Chanachai; Chindaprasirt, Prinya
Civil Engineering Journal Vol. 11 No. 12 (2025): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-12-09

Abstract

The increasing demand for corrosion-resistant reinforcement in concrete structures has highlighted the potential of basalt fiber-reinforced polymer (BFRP) bars as a sustainable alternative to conventional steel reinforcement. However, the flexural behavior of BFRP-reinforced concrete beams remains insufficiently characterized, particularly through advanced numerical simulation. This study develops and validates a finite element model (FEM) to analyze the flexural performance of BFRP-reinforced concrete beams and to compare it with that of steel-reinforced beams. Eight beam specimens (200 × 300 × 3,100 mm), including six reinforced with BFRP bars and two with steel bars, were modeled under four-point bending using ANSYS software. The FEM predictions were validated against experimental data and benchmarked with the design provisions of ACI 440.1R-15 and CSA S806-12. The model showed strong agreement with experimental results, yielding ultimate load ratios of 0.92–0.94 for steel-reinforced beams and 1.01–1.45 for BFRP-reinforced beams. At higher reinforcement ratios, FEM predictions tended to overestimate the capacity of BFRP-reinforced beams. While steel-reinforced beams exhibited ductile failure, BFRP-reinforced beams failed in a brittle manner. The predicted moment-deflection responses and crack patterns closely matched both experimental observations and code-based predictions. This validated FEM provides a reliable computational framework for assessing and optimizing the design of BFRP-reinforced concrete beams, thereby advancing the application of non-metallic reinforcement in structural engineering. The findings also highlight challenges in accurately modeling concrete crushing and bond behavior within FEM, indicating directions for future refinement.

Page 1 of 3 | Total Record : 24

 1   2   3 

Filter by Year

2025 2025


Reset
Filter By Issues
All Issue Vol. 11 No. 12 (2025): December Vol. 11 No. 11 (2025): November Vol. 11 No. 10 (2025): October Vol. 11 No. 9 (2025): September Vol. 11 No. 8 (2025): August Vol. 11 No. 7 (2025): July Vol. 11 No. 6 (2025): June Vol. 11 No. 5 (2025): May Vol 11, No 3 (2025): March Vol 11, No 2 (2025): February Vol 11, No 1 (2025): January Vol 10, No 12 (2024): December Vol. 10 No. 11 (2024): November Vol 10, No 11 (2024): November Vol 10, No 10 (2024): October Vol 10, No 9 (2024): September Vol 10, No 8 (2024): August Vol 10, No 7 (2024): July Vol. 10 No. 7 (2024): July Vol 10, No 6 (2024): June Vol. 10 No. 5 (2024): May Vol 10, No 5 (2024): May Vol 10, No 4 (2024): April Vol 10, No 3 (2024): March Vol 10, No 2 (2024): February Vol 10, No 1 (2024): January Vol 10 (2024): Special Issue "Sustainable Infrastructure and Structural Engineering: Innovations in Vol 9, No 12 (2023): December Vol 9, No 11 (2023): November Vol 9, No 10 (2023): October Vol 9, No 9 (2023): September Vol 9, No 8 (2023): August Vol 9, No 7 (2023): July Vol 9, No 6 (2023): June Vol 9, No 5 (2023): May Vol 9, No 4 (2023): April Vol 9, No 3 (2023): March Vol 9, No 2 (2023): February Vol 9, No 1 (2023): January Vol 9 (2023): Special Issue "Innovative Strategies in Civil Engineering Grand Challenges" Vol 8, No 12 (2022): December Vol 8, No 11 (2022): November Vol 8, No 10 (2022): October Vol 8, No 9 (2022): September Vol 8, No 8 (2022): August Vol 8, No 7 (2022): July Vol 8, No 6 (2022): June Vol 8, No 5 (2022): May Vol 8, No 4 (2022): April Vol 8, No 3 (2022): March Vol 8, No 2 (2022): February Vol 8, No 1 (2022): January Vol 7, No 12 (2021): December Vol 7, No 11 (2021): November Vol 7, No 10 (2021): October Vol 7, No 9 (2021): September Vol 7, No 8 (2021): August Vol 7, No 7 (2021): July Vol 7, No 6 (2021): June Vol 7, No 5 (2021): May Vol 7, No 4 (2021): April Vol 7, No 3 (2021): March Vol 7, No 2 (2021): February Vol 7, No 1 (2021): January Vol 7 (2021): Special Issue "Innovative Strategies in Civil Engineering Grand Challenges" Vol 6, No 12 (2020): December Vol 6, No 11 (2020): November Vol 6, No 10 (2020): October Vol 6, No 9 (2020): September Vol 6, No 8 (2020): August Vol 6, No 7 (2020): July Vol 6, No 6 (2020): June Vol 6, No 5 (2020): May Vol 6, No 4 (2020): April Vol 6, No 3 (2020): March Vol 6, No 2 (2020): February Vol 6, No 1 (2020): January Vol 6 (2020): Special Issue "Emerging Materials in Civil Engineering" Vol 5, No 12 (2019): December Vol 5, No 11 (2019): November Vol 5, No 10 (2019): October Vol 5, No 9 (2019): September Vol 5, No 8 (2019): August Vol 5, No 7 (2019): July Vol 5, No 6 (2019): June Vol 5, No 6 (2019): June Vol 5, No 5 (2019): May Vol 5, No 4 (2019): April Vol 5, No 4 (2019): April Vol 5, No 3 (2019): March Vol 5, No 3 (2019): March Vol 5, No 2 (2019): February Vol 5, No 2 (2019): February Vol 5, No 1 (2019): January Vol 5, No 1 (2019): January Vol 4, No 12 (2018): December Vol 4, No 12 (2018): December Vol 4, No 11 (2018): November Vol 4, No 11 (2018): November Vol 4, No 10 (2018): October Vol 4, No 10 (2018): October Vol 4, No 9 (2018): September Vol 4, No 9 (2018): September Vol 4, No 8 (2018): August Vol 4, No 8 (2018): August Vol 4, No 7 (2018): July Vol 4, No 7 (2018): July Vol 4, No 6 (2018): June Vol 4, No 6 (2018): June Vol 4, No 5 (2018): May Vol 4, No 5 (2018): May Vol 4, No 4 (2018): April Vol 4, No 4 (2018): April Vol 4, No 3 (2018): March Vol 4, No 3 (2018): March Vol 4, No 2 (2018): February Vol 4, No 2 (2018): February Vol 4, No 1 (2018): January Vol 4, No 1 (2018): January Vol 3, No 12 (2017): December Vol 3, No 12 (2017): December Vol 3, No 11 (2017): November Vol 3, No 11 (2017): November Vol 3, No 10 (2017): October Vol 3, No 10 (2017): October Vol 3, No 9 (2017): September Vol 3, No 9 (2017): September Vol 3, No 8 (2017): August Vol 3, No 7 (2017): July Vol 3, No 7 (2017): July Vol 3, No 6 (2017): June Vol 3, No 5 (2017): May Vol 3, No 5 (2017): May Vol 3, No 4 (2017): April Vol 3, No 3 (2017): March Vol 3, No 2 (2017): February Vol 3, No 2 (2017): February Vol 3, No 1 (2017): January Vol 2, No 12 (2016): December Vol 2, No 12 (2016): December Vol 2, No 11 (2016): November Vol 2, No 11 (2016): November Vol 2, No 10 (2016): October Vol 2, No 9 (2016): September Vol 2, No 9 (2016): September Vol 2, No 8 (2016): August Vol 2, No 8 (2016): August Vol 2, No 7 (2016): July Vol 2, No 7 (2016): July Vol 2, No 6 (2016): June Vol 2, No 6 (2016): June Vol 2, No 5 (2016): May Vol 2, No 4 (2016): April Vol 2, No 3 (2016): March Vol 2, No 3 (2016): March Vol 2, No 2 (2016): February Vol 2, No 1 (2016): January Vol 1, No 2 (2015): December Vol 1, No 1 (2015): November More Issue