cover
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 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
Search results for , issue "Vol 10, No 12 (2024): December" : 20 Documents clear
Flexural Performance of a New Composite Double PSSDB Slab System Filled with Recycled Concrete Al-Sudani, Zaid A.; De’nan, Fatimah; Al-Zand, Ahmed W.; Abd Rahman, Noorhazlinda; Liejy, Mohammed C.
Civil Engineering Journal Vol 10, No 12 (2024): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2024-010-12-03

Abstract

This study investigated the flexural performance of a composite floor system utilizing a profile steel sheet dry board (PSSDB) that was enhanced by adding an additional layer of profile steel sheet (PSS) and infilled with both normal and recycled concrete materials. This improved system is referred to as the double-profile steel sheet dry board (DPSSDB) system. The new DPSSDB concept was proposed to reduce fabrication costs, overall weight, and the depth of the composite floor system compared to traditional composite beam-slab systems. To assess the impact of the additional PSS layer, ten full-scale specimens of both PSSDB and DPSSDB were subjected to four-point static load tests. Additionally, the study investigated the use of lightweight recycled aggregates such as crumb rubber and expanded polystyrene as partial replacements for the aggregates in the infill concrete. The results demonstrated that the DPSSDB system exhibited a 112–170% increase in bending capacity compared to the PSSDB specimens. Partial replacement of concrete aggregates with lightweight recycled materials up to 50% had only a marginal effect on the bending behavior of both PSSDB and DPSSDB specimens compared to those filled with normal concrete. However, replacing 75% of the aggregate with recycled materials led to a 27% reduction in the flexural bending capacity of the DPSSDB specimens compared to those infilled with normal concrete. Additionally, a new method (theoretical equation) was developed to predict the ultimate moment strength (flexural) of the novel DPSSDB composite slab system, which aligned well with the experimental results, achieving a deviation percentage of 0.81% and a mean value of 0.965a. Doi: 10.28991/CEJ-2024-010-12-03 Full Text: PDF
Assessment of Fluid Forces on Flooded Bridge Superstructures Using the SPH Method Do, T. A.; Nguyen, T. H.
Civil Engineering Journal Vol 10, No 12 (2024): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2024-010-12-019

Abstract

This paper presents a numerical simulation utilizing the Smoothed Particle Hydrodynamics (SPH) methodology to analyze the impact of water flow on bridge superstructures. The focus of the study is the Canh Nang bridge, which experienced significant damage during a severe flood in Vietnam. The SPH model accounts for flow morphology, velocity fields, and flow pressure around the submerged superstructure, providing insights into areas of high flow pressure and the water resistance coefficient (Cd). By employing modified dynamic boundaries for solid surfaces and the inflow-outflow conditions, the model effectively addresses fluid-bed and fluid-structure interactions. The results highlight elevated flow pressure on specific surface locations of the superstructure, while lower pressures are observed on the bottom surfaces and between adjacent girders. The calculated Cd values are evaluated against those from various bridge design standards, including the Indian code, Eurocode, AS5100, and TCVN 11823. This comparison reveals discrepancies and suggests the potential for refining current design practices. Future research directions include the experimental validation of SPH model results and the exploration of how structural parameters influence superstructure response during flood events. Doi: 10.28991/CEJ-2024-010-12-019 Full Text: PDF
Analysis of Climate Change Scenarios Using the LARS-WG 8 Model Based on Precipitation and Temperature Trends Hadi, Saad H.; Alwan, Husam H.; Al-Mohammed, Fadhil M.
Civil Engineering Journal Vol 10, No 12 (2024): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2024-010-12-014

Abstract

Global food production and water distribution are at risk due to increasing temperatures and changing precipitation trends. The main objective of the study was to analyze the climate trend and future projections in seven stations in southern Iraq. The period (1981–2020) was designated as a base period. The periods (2021-2040) and (2041-2060) were defined as the future two periods. The Mann-Kendall trend test was employed to assess trends utilizing XLSTAT. The study employed the most recent version of the LARS-WG 8 model to forecast climate change by using three GCMs (ACCES-ESM1-5, HadGEM3-GC31-LL, and MRI-ESM2-0). These simulations are based on two scenarios (SSP-245 and SSP-585). The statistical indicators provided support for the outcomes of model calibration and validation, demonstrating its competence and reliability. The results of this analysis indicate that there is a non-significant increase in precipitation and a considerable increase in both maximum and minimum temperatures during the period (1981-2060). The downscaled result reveals an increase in monsoon precipitation in the range of 2.233-2.831 mm under SSP-245 and SSP-585, respectively, compared with the base periods 1981-2020 during the Near Future and 1.988-2.543 mm during the mid-future. Also, annual maximum/minimum temperature increases in the range of (1.156-1.549 °C) and (1.486-1.770 °C) during the Near Future. (2.095-2.892 °C) and (1.486-1.770 °C) during the mid-future, respectively, for SSP-245 and SSP-585. These outcomes can enhance understanding to develop strategies for mitigating and adapting to these impacts. Doi: 10.28991/CEJ-2024-010-12-014 Full Text: PDF
Evaluation of GPM IMERG Product Against Ground Station Rainfall Data in Semi-Arid Region Krisnayanti, Denik Sri; Pah, Jusuf J. S.; Klau, Ralno R.; Decaprio, Alex; Syamsumarlin, .
Civil Engineering Journal Vol 10, No 12 (2024): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2024-010-12-09

Abstract

Benanain River is the longest and largest river on Timor Island, with a length of 132 km and an area of 6,460.12 km². In this region, a significant factor affecting the presence of surface water sources is rainfall. To compensate for the lack or unavailability of automatic Rainfall Data (RD) in the Benanain River Basin (BRB), Global Rainfall Measurement (GPM) data from 1998 to 2018 (20 years) were used. The accuracy of GPM rainfall analysis was obtained when parameter conformity and compatibility with data recorded at Rainfall Station (RS) were maintained. The difficulty of predicting rainfall values, spatially and temporally, in the field led to data gaps and unreliable data for analysis needs. Additionally, RD obtained from observation stations contributed to measuring rainfall because there was insufficient RD for analysis in a few regions. The challenge of accurately predicting rainfall values in the field led to differences in data, rendering it unreliable for analysis. To address this issue, satellite data was required as an alternative method to estimate rainfall. Among a total of 7 RS, only 2 passed rainfall characteristic tests. Following this discussion, Lahurus station showed a correlation coefficient of 0.7046, an RMSE of 25.89, and an NSE of 0.476. In addition, the rainfall characteristic test result for Haliwen Station was 1.66 (R100/R2). The second station that passed was Kaubele Station, signifying a correlation coefficient of 0.7907, RMSE of 25.28, and NSE of 0.604. Additionally, the rainfall characteristic test result for Haliwen Station was 3.04 (R100/R2) and the daily performance of the GPM product in the rainy season with low rainfall (≤ 50 mm) was better compared to extreme rainfall (≥ 100 mm). In this study, corrected GPM daily RD in the range >100 mm was underestimated. This analysis implied that the GPM IMERG Final Run product on daily and monthly rainfall timescales had strong detection capabilities and provided data support for long-time series investigations on Timor Island. Doi: 10.28991/CEJ-2024-010-12-09 Full Text: PDF
Flood Hazard Assessment Due to Changes in Land Use and Cover Supratman, Maman; Kusuma, Muhammad S. B.; Cahyono, Muhammad; Kuntoro, Arno Adi
Civil Engineering Journal Vol 10, No 12 (2024): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2024-010-12-04

Abstract

This study aimed to investigate the influence of land use changes on the occurrence of flood hazards in the Pondok Karya area, Jakarta, Indonesia. Landsat OLI 8 and 7 from 2002 to 2023 were analyzed with a supervised classification tool using Envi and ArcGIS to investigate land use changes over the period. Additionally, the HEC-HMS and HEC-RAS tools were utilized for hydrological and hydraulic assessments under 25 discharge return periods (Q25), using a daily rainfall dataset from 2004 to 2021. The flood hazard index was produced using statistical and GIS methodologies and was based on Neighbourhood Associations (NAs) after qualified hydraulic model performance, indicating a Nash 0.65–Nash-Sutcliffe model efficiency (NSE) value. The analysis revealed considerable alterations in land use and cover within the Pondok Karya watershed. Consequently, the percentage of urban areas surged 30%, whereas vegetative cover declined 24%. Additionally, bare land decreased 9%, and water bodies marginally increased 3%. This indicates a 10% increase in the peak flood river flow of Mampang, from approximately 90 m³/s to 100 m³/s within this period. Subsequently, the percentage of high-risk areas increased from 42.85% (six NAs) to 57.14% (eight NAs), whereas the percentage of low-risk areas decreased from 14.29% (two NAs) to 7.14% (one NAs). Moderate-risk areas also decreased from 42.85% (six NAs) to 35.71% (five NAs). The study found that despite vegetative cover exceeding 30%, the capacity of the Mampang River remained inadequate, and the risk of flooding increased with the impact of its conversion. Additionally, the soil properties and social intervention factors contributed to the performance of the inundation model. Our study underscores the need for further research to mitigate flood risks and advocate interventions such as reservoir construction or river normalization in the upper Mampang catchment area. This study is useful for both local and central governments, which act as decision-makers to reduce the risk of flooding. Doi: 10.28991/CEJ-2024-010-12-04 Full Text: PDF
The Performance of Geosynthetic Reinforcement Road Pavement Over Expansive Soil Subgrade Hairulla, .; Harianto, Tri; Djamaluddin, Abdul Rahman; Arsyad, Ardy
Civil Engineering Journal Vol 10, No 12 (2024): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2024-010-12-020

Abstract

One of the problems faced in infrastructure development, especially roads, is problematic soils, including expansive soils, which are distributed around 20% of national road construction in Indonesia. Geosynthetics are reinforcement materials that can be used to overcome problematic soils. The study aimed to determine the behavior of expansive soil with geosynthetic reinforcement against swelling potential and swelling pressure in the wetting cycle. The research utilized an experimental approach involving three test concepts. The first was a control test without reinforcement. The second included a combination of geogrid, geotextile, and geomembrane layers, while the third utilized an H2Rx reinforcement layer. Analysis was carried out on the development potential and pressure; the test was carried out for 57 days using displacement sensors and pressure sensors, and data recording was carried out every 5 seconds using a computer. The findings from the results of this study indicated that the presence of reinforcement using a geosynthetic reinforcement layer can overcome the behavior that occurs in expansive soils with swelling potential and swelling pressure. The novelty of this research is the inclusion of a geosynthetic reinforcement layer on expansive soil combined with a drainage layer in the pavement subgrade. Doi: 10.28991/CEJ-2024-010-12-020 Full Text: PDF
Data Mining Approach-Based Damage Identification for Asphalt Pavement Under Natural Disaster Conditions Rifai, Andri I.; Isradi, Muhammad; Prasetijo, Joewono; Sari, Yusra A.; Zolkepli, Muhammad F.
Civil Engineering Journal Vol 10, No 12 (2024): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2024-010-12-015

Abstract

Road performance can also decline due to natural disasters such as earthquakes, often in Indonesia. Given the high risk of natural disasters in Indonesia, it is important to consider their impact. Therefore, it is necessary to prepare for road rehabilitation and reconstruction quickly and accurately. This research aims to identify potential factors causing road damage by developing an approach to obtain predictions of road damage levels due to natural disasters by utilizing the availability of historical data, developing a decision support system to rehabilitate and reconstruct roads after disasters, and developing a road damage model due to earthquakes using data mining. The data was used to assess the condition of the national road pavement in Central Sulawesi and identified the disaster events as earthquakes that originated from the USGS. Data processing uses a data mining (DM) approach, which includes three models. The results found that the SVM modeling with the DM approach had a high accuracy rate of 0.91 ± 0.01, RMSE 0.70 ± 0.02, and MAD 0.42 ± 0.01. SVM achieves the highest accuracy after 20 runs. The best hyperparameters to accomplish a fit SVM model are ϵ = 0.07 ± 0.01 and γ = 0.05 ± 0.00. Meanwhile, for ANN, the hyperparameters are H = 3 ± 1. The earthquake’s magnitude (27%) and depth (24%) contribute to road damage. Doi: 10.28991/CEJ-2024-010-12-015 Full Text: PDF
Measuring Belt and Road Initiative Perceptions: A Comparative Analysis of Thai Border and Non-Border Regions Champahom, Thanapong; Chonsalasin, Dissakoon; Theerathitichaipa, Kestsirin; Jomnonkwao, Sajjakaj; Watcharamaisakul, Fareeda; Kasemsri, Rattanaporn; Ratanavaraha, Vatanavongs
Civil Engineering Journal Vol 10, No 12 (2024): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2024-010-12-010

Abstract

This study aims to analyze and compare perceptions of the Belt and Road Initiative (BRI) between border and non-border regions in Thailand, addressing a gap in understanding how geographic proximity influences BRI project views. Using a sample of 3,200 respondents, this study employed confirmatory factor analysis and measurement invariance techniques to examine perceptions across eight key constructs related to BRI impacts. The findings reveal significant structural differences in BRI perceptions between border and non-border regions. Non-border regions generally showed more consistently positive perceptions across all constructs, while border regions demonstrated more varied and nuanced views. Notable differences were observed in perceptions of economic benefits, logistics improvements, and social impacts. This study contributes to the field by providing a comprehensive comparative analysis of BRI perceptions across different geographical contexts within a single country, employing advanced statistical methods to ensure valid comparisons. The results suggest the need for tailored approaches to BRI implementation and communication in different regions, implementing inclusive policy-making processes, and establishing robust monitoring and evaluation systems to address the varied perceptions and potential impacts of BRI projects in Thailand. Doi: 10.28991/CEJ-2024-010-12-010 Full Text: PDF
Unfired Bricks Mixed with Para Rubber Latex for Sustainable Construction Materials Janpetch, Natapong; Trakolkul, Chokchai; Plitsiri, Itthi; Thepjunthra, Wiphada
Civil Engineering Journal Vol 10, No 12 (2024): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2024-010-12-05

Abstract

This paper aims to study the development of bricks without burning, mixing para rubber latex, and compressing them with the technology of interlocking block production. The ratio of cement, lateritic soil, and water used in the mix was 1:6:11, while the percentage of para rubber latex (PRL) added was 2.5, 5, 7.5, 10, and 12.5% of the cement weight. The optimal PRL content (2.5%–7.5% by cement weight) enhances compressive strength, reduces water absorption, and improves durability, meeting the Thai industrial standard (TIS 77-2545). The PRL7.5 mixture achieved the highest performance, with a compressive strength of 21.42 MPa and a water absorption rate of 7.55%. These advancements are credited to the polymer film network formed from PRL during the hydration process, which strengthens particle bonds and reduces porosity. However, PRL content exceeding 7.5% leads to performance reductions, attributed to thicker polymer films and particle aggregation, which create larger voids within the material. Furthermore, the modified unfired bricks demonstrated enhanced crack resistance, increased ductility, and superior thermal insulation properties. Thermal tests of masonry walls confirmed that unfired bricks provide better thermal insulation. Temperature measurements revealed that houses constructed with unfired bricks consistently maintained cooler indoor temperatures compared to those made with fired bricks, indicating improved thermal efficiency. Environmentally, unfired bricks eliminate carbon emissions from firing processes and offer simpler, more energy-efficient production methods. These bricks provide sustainable alternatives to fired bricks, promoting both environmental and economic benefits for brick-making communities. Doi: 10.28991/CEJ-2024-010-12-05 Full Text: PDF
Macroscopic Traffic Characterization Based on Distance Headway Iftikhar, Amir; Khan, Zawar H.; Aaron Gulliver, T.; Khattak, Khurram S.; Ahmed, Irfan
Civil Engineering Journal Vol 10, No 12 (2024): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2024-010-12-016

Abstract

Accurate traffic characterization is essential for congestion mitigation. In this paper, a traffic model is proposed that incorporates distance headway in the well-known Lighthill, Whitham, and Richards (LWR) model. Velocity is influenced by the headway distance between vehicles. When this distance is small, the velocity is low, and when it is large, the velocity is high. The proposed and LWR models are implemented in MATLAB, and the performance is evaluated for different values of distance headway. The results show that traffic with the proposed model evolves with smaller changes that are more accurate and realistic than with the LWR model. Doi: 10.28991/CEJ-2024-010-12-016 Full Text: PDF

Page 2 of 2 | Total Record : 20


Filter by Year

2024 2024


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