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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 17 Documents
 1   2 
Search results for , issue "Vol 10 (2024): Special Issue " : 17 Documents clear
Numerical Analysis of Time-Dependent Strength and Stiffness in Palm Oil Fuel Ash-Stabilized Soil: Early and Long-Term Effects Al-Dalain, Nour A. W.; Ezreig, Ali M. A.; Ismail, Mohd A. M.
Civil Engineering Journal Vol 10 (2024): Special Issue "Sustainable Infrastructure and Structural Engineering: Innovations in
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-SP2024-010-05

Abstract

Over the years, investigating the behavior of soft soil, stabilized using different techniques, has been recognized as a critical priority for geotechnical engineers. Numerous soil constitutive models have been utilized to simulate stabilized soil behavior, improve strength and ductility, and analyze load-deformation responses. However, further investigation is required to study stabilized soil's time-dependent strength and stiffness, especially at an early curing age. Early strength and stiffness development is crucial in engineering construction for improving building quality and efficiency and minimizing crack risk. Furthermore, estimating UCS from an early age aid in safety evaluation and ground-improvement analysis. Researchers are increasingly recognizing palm oil fuel ash (POFA) as an eco-friendly alternative to traditional soil stabilizers due to its abundant availability. This study proposes an advanced concrete constitutive model to simulate the time-dependent strength and stiffness of POFA-stabilized and cement-stabilized soil due to pozzolanic interactions. The model accurately measures strength and stiffness improvement from an early curing age to 28 days using finite element analysis (FEA) before then comparing the experimental results. Based on the experimental results, the UCS values of palm oil fuel ash-stabilized soil grew to 3.18 MPa and 3.89 MPa after seven and 28 days with an optimum content of 30% (POFA): 10% Magnesium Oxide (MgO). It exhibited a significant increase in early strength with 64.02% compared with cement-stabilized soil. For stiffness results, a slight increment of 9.26% was observed. Employing FEM, the sensitivity of the parameters to stress-strain behavior was investigated. Finally, the validity of the concrete constitutive model to predict the time-dependent strength and stiffness of stabilized soil was proved. Doi: 10.28991/CEJ-SP2024-010-05 Full Text: PDF
Geotechnical Properties of Fly Ash Blended Expansive Soil: A Review Alam, Shamshad; Alselami, Nimer Ali
Civil Engineering Journal Vol 10 (2024): Special Issue "Sustainable Infrastructure and Structural Engineering: Innovations in
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-SP2024-010-06

Abstract

Fly ash, an industrial byproduct, is used as both a building material and a soil stabilizer due to its pozzolanic properties. Moreover, it is challenging to extrapolate the results based on an inadequate amount of laboratory data because of the non-homogeneous character of the soil and the diversity in the chemical properties of fly ash. This review article fills in the gaps by providing an overview of the existing data related to the geotechnical characteristics of expansive soil stabilized with fly ash. The chemical composition of fly ash is provided in terms of oxides of various elements to help identify the kinds produced in different nations. Additionally, information about the physical and geotechnical characteristics of fly ash blended expansive soil is provided in order to comprehend the influence of the fly ash's chemical composition and the expansive soil's fines percentage. While the geotechnical property comprises Atterberg's limit, compaction, UCS, shear strength, free swelling index, CBR, and consolidation, the physical property includes specific gravity and durability. Shear modulus, damping ratio, and Poisson's ratio are used to describe the dynamic properties of the modified expansive soil. The published data in this field and the research gap will be identified by the researchers with the aid of this article. Doi: 10.28991/CEJ-SP2024-010-06 Full Text: PDF
Artificial Intelligence Models for Predicting the Compressive Strength of Geopolymer Cements Rahmawati, Cut; Aisyah, Siti; Sanusi, .; Iqbal, .; Maulana, M. Mufid; Erdiwansyah, .; Ahmad, Jawad
Civil Engineering Journal Vol 10 (2024): Special Issue "Sustainable Infrastructure and Structural Engineering: Innovations in
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-SP2024-010-03

Abstract

The utilization of nanosilica and cellulose nanocrystals (CNCs) in cement geopolymers remains challenged by intricacies and uncertainties regarding their concentration, posing difficulties in the formulation of systematic geopolymer mix designs. This study aims to formulate models based on Artificial Neural Networks (ANN) capable of forecasting the compressive strength of geopolymers through the utilization of experimentally acquired data. Nanosilica was applied at concentrations of 2%–4% and CNCs at 1%–3%. ANN was modeled using MATLAB to predict the compressive strength of the geopolymer. The results indicated an effect of nanosilica and CNCs on the compressive strength of geopolymer at 2%–4% concentration and 1%–3% CNCs. The best ANN was the GDX training function, purelin activation function, LGD and LGDM learning functions, Lr 0.1 and 0.01 at the number of epochs 3812 out of 25000 and 1774 out of 25000, resulting in the best correlation values of 0.994 and 0.959; the lowest RMSE values are 0.022 and 0.110. The results of the ANN model built based on actual data prove that the model is helpful for accurate simulation to predict the compressive strength of geopolymer cement. This study contributes novelty by optimizing the design model for Geopolymer Cements incorporating nanosilica and CNCs. Doi: 10.28991/CEJ-SP2024-010-03 Full Text: PDF
Impact of Rear Slope Variation on Rubble Mound Breakwater Stability Under Seismic Loading Morabit, Abdelmajid; El Ghoulbzouri, Abdelouafi
Civil Engineering Journal Vol 10 (2024): Special Issue "Sustainable Infrastructure and Structural Engineering: Innovations in
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-SP2024-010-08

Abstract

This study aims to enhance the seismic stability of rubble mound breakwaters, crucial maritime structures, by examining how variations in the rear slope angle affect their response to seismic loads. Utilizing the Plaxis 2D software, a finite element method was employed to simulate the behavior of a conventional rubble mound breakwater under different seismic conditions. The analysis considered three different rear slope angles and subjected each to various seismic loads characterized by differing amplitudes and frequencies. Our findings indicate that the rear slope inclination significantly influences the seismic response of the breakwaters, notably affecting the displacements and deformations within the structure. The most optimal angle of inclination was identified, which minimized the seismic-induced deformations, thereby potentially improving the structural integrity and longevity of these maritime defenses. This investigation not only provides valuable insights into the design of more resilient maritime structures but also introduces an approach to optimize breakwater design for better performance under seismic conditions, marking a notable improvement in the field of maritime engineering. Doi: 10.28991/CEJ-SP2024-010-08 Full Text: PDF
The Influence of Recycled Coarse Aggregate Content on the Properties of High-Fly-Ash Self-Compacting Concrete Nguyen, Hung Cuong
Civil Engineering Journal Vol 10 (2024): Special Issue "Sustainable Infrastructure and Structural Engineering: Innovations in
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-SP2024-010-04

Abstract

In Vietnam, solid waste from construction activities significantly impacts environmental pollution. Recycled concrete aggregate (RCA), derived from waste concrete, can serve as a coarse aggregate in concrete production. However, compared to natural aggregates, RCA exhibits distinct characteristics, including lower strength, higher water absorption, and an increased angular and rough surface. These properties may influence concrete’s workability, compressive strength, and durability. This research investigates the influence of RCA on the properties of High-Fly-Ash Self-Compacting Concrete (SCC). The study explores various replacement levels of natural coarse aggregate with RCA (0%, 50%, 75%, and 100%), alongside a 50% volume fraction of fly ash. Key concrete properties evaluated include workability, compressive strength, flexural strength, and chloride ion permeability. The findings reveal that using 100% RCA in combination with a high fly ash content (50%) produces SCC that meets workability requirements according to EFNARC standards. However, there are trade-offs: the compressive strength decreases by 4.61%, the flexural strength decreases by 3.1%, and chloride ion permeability increases by 57.57% compared to the control sample (using natural aggregates). Notably, the chloride ion permeability of SCC using 100% RCA falls into the category of low permeability. Doi: 10.28991/CEJ-SP2024-010-04 Full Text: PDF
Role of Slag Replacement on Strength Enhancement of One-Part High-Calcium Fly Ash Geopolymer Intarabut, Darrakorn; Sukontasukkul, Piti; Phoo-ngernkham, Tanakorn; Hanjitsuwan, Sakonwan; Sata, Vanchai; Chumpol, Poopatai; Sae-Long, Worathep; Zhang, Hexin; Chindaprasirt, Prinya
Civil Engineering Journal Vol 10 (2024): Special Issue "Sustainable Infrastructure and Structural Engineering: Innovations in
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-SP2024-010-013

Abstract

This paper reports the effect of slag (SL) replacement and water-to-binder (w/b) ratio on properties of one-part geopolymer derived from high-calcium fly ash (FA) and sodium silicate powder (NP). The FA was replaced by SL at the rates of 20% and 40%, respectively. This study focused on conducting experimental tests to evaluate the relative slump, setting time, compressive strength, and flexural strength of one-part FA-based geopolymer. The relationship between compressive and flexural strengths of one-part geopolymer mortar was expressed using the simplified linear regression model, whereas the normalization of compressive and flexural strengths with SL replacement by the strength of one-part geopolymer mortar without SL as the divisor was also evaluated. Experimental results showed that the increase of SL replacement and w/b ratio significantly affected the workability and strength development of one-part geopolymer mortar. Higher SL replacement exhibited a positive effect on their compressive and flexural strengths; however, a reduction in its setting time was obtained. The enhancement in strength development of one-part geopolymer was primarily due to the increased calcium content of SL. Similarly, reducing the w/b ratio in the production of one-part geopolymer resulted in a decrease in setting time and an increase in strength development. Based on the relationship between compressive and flexural strengths, the prediction coefficient value (R2) obtained from the curve fitting procedure was 0.835, indicating a good level of reliability and acceptability for engineering applications. Doi: 10.28991/CEJ-SP2024-010-013 Full Text: PDF
Artificial Recharge of an Unconfined Aquifer Using Treated Wastewater as a Climate Change Mitigation Strategy Mukheef, Rana A. H.; Hassan, Waqed H.; Alquzweeni, S.
Civil Engineering Journal Vol 10 (2024): Special Issue "Sustainable Infrastructure and Structural Engineering: Innovations in
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-SP2024-010-016

Abstract

Worldwide groundwater extraction has increased dramatically during the past six decades. Water scarcity will affect 1.4 billion people in around 48 nations by 2025. Iraq is experiencing an unparalleled and severe water crisis due to various factors, including climate changes, insufficient rainfall, the policies of neighboring nations, and the increased demand resulting from population expansion. The research area (Dibdiba aquifer) is in Iraq, in the middle between Najaf and Karbala. It was observed that farmers had abandoned numerous wells as a result of the decline in their water levels. Groundwater is the water resource for the region, and due to high agricultural and industrial demand, the Dibdiba aquifer is facing groundwater depletion. This study utilized climatic datasets projected under two scenarios obtained from CMIP6 and the Groundwater Modeling System (GMS). The objective was to evaluate the effect of projected climate change on the quantity of groundwater. Artificial recharge of treated wastewater from the wastewater treatment plant (WWTP) in Kerbala into groundwater aquifers has proven to be an effective method of mitigating groundwater depletion while providing a sustainable water supply. Eleven wells are distributed randomly within the research area; each of them is located within the unconfined aquifer. The groundwater levels in these wells were measured in situ from July 2023 to April 2024. The model was run for steady and unsteady flow conditions, and calibration at steady state was carried out using the groundwater head data for (7) wells. These seven wells were selected to represent the whole research region as well as shorten the simulation run duration in the calibration process. On the other hand, the transient calibration was performed employing measurements of groundwater heads for four wells. Calibration and validation results indicated convergence between the observed and simulated heads. The modeling findings showed that the increment in groundwater level is about 1.0, 1.85, and 2.25 m with artificial recharge of about 6000 m³/day, 9000 m³/day, and 12000 m³/day, respectively. The above findings illustrate the ability of artificial recharge as a highly promising strategy for addressing the water depletion and environmental issues in the Dibdiba aquifer. Doi: 10.28991/CEJ-SP2024-010-016 Full Text: PDF
Evaluating Axial Strength of Cold-formed C-Section Steel Columns Filled with Green High-performance Concrete Jasim, Al Mashhadani D. A.; Wong, Leong Sing; Al-Zand, Ahmed W.; Kong, Sih Ying
Civil Engineering Journal Vol 10 (2024): Special Issue "Sustainable Infrastructure and Structural Engineering: Innovations in
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-SP2024-010-014

Abstract

Concrete-filled steel tube (CFST) columns that experience outward local buckling under high axial stress remain a significant concern, particularly when thin steel sections are used, as opposed to semi-compact and compact sections. This study investigated the performance of column systems by comparing single- and double-C-section configurations with both hollow and concrete-filled designs. Two types of infill materials were investigated: normal concrete and recycled material concrete, which included 10% waste glass powder as a cement replacement, 8% black high-density polyethylene beads as a sand substitute, and 10% pumice stone as coarse aggregate. To enhance the strength of the proposed CFS column, steel strips and screws were used to connect the flanges of the C-sections. Nine columns were tested experimentally under static axial load. Additionally, finite element analysis software was used to model and evaluate the effects of parameters beyond those investigated in the tests. The results indicated that the load capacity of the double face-to-face section was approximately 3% higher than that of the double back-to-back section. The addition of steel strips, used to connect the lips of the C-section flanges, enhanced the axial strength of the column by approximately 2% compared with the unstrengthened corresponding specimen and delayed buckling in the most vulnerable areas. Furthermore, the recycled infill concrete material had a minimal impact on the axial performance of the analyzed CFS columns compared to the control concrete, with a difference of less than 2.2%. The findings confirm that recycled waste material concrete can achieve performance comparable to that of the conventional concrete. Doi: 10.28991/CEJ-SP2024-010-014 Full Text: PDF
Experimental and Numerical Analysis of Punching Shear of GFRP-RC Slabs Al-Ateyat, Aroob; Barakat, Samer; Junaid, M. Talha; Altoubat, Salah; Maalej, Mohamed; Awad, Raghad
Civil Engineering Journal Vol 10 (2024): Special Issue "Sustainable Infrastructure and Structural Engineering: Innovations in
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-SP2024-010-017

Abstract

This study investigates the punching shear behavior of Glass Fiber-Reinforced Polymer (GFRP)-reinforced concrete slabs, addressing critical gaps in current design guidelines for high-strength concrete (HSC). The objective is to evaluate the impact of concrete strength, including normal-strength concrete (NSC, 30 MPa) and HSC (60 and 90 MPa), on the punching shear resistance, bridging the lack of experimental data that limits the use of HSC in FRP-reinforced slabs. The research employs experimental testing on three full-scale slab specimens (1.5 m × 1.5 m × 0.1 m) under concentric monotonic loading until failure, coupled with Finite Element Analysis (FEA) using the Concrete Damage Plasticity (CDP) model in ABAQUS. Key findings reveal that increasing concrete strength moderately enhances punching shear resistance by 5.6% and 8.9% for 100% and 200% strength increases, respectively. The FEA model successfully replicates load-deflection behavior, crack patterns, and failure mechanisms with less than a 3% deviation from experimental results. This study enriches the literature with experimental data on GFRP-reinforced slabs using HSC and verifies FEA as a robust design tool for engineers. The findings contribute to developing comprehensive design guidelines for FRP-reinforced slabs subjected to punching shear in high-strength applications. Doi: 10.28991/CEJ-SP2024-010-017 Full Text: PDF
Ensemble Learning Models for Prediction of Punching Shear Strength in RC Slab-Column Connections Habibi, Omid; Youssef, Tarik; Naseri, Hamed; Ibrahim, Khalid
Civil Engineering Journal Vol 10 (2024): Special Issue "Sustainable Infrastructure and Structural Engineering: Innovations in
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-SP2024-010-01

Abstract

In reinforced concrete (RC) structures, accurate prediction of the punching shear strength (PSS) of slab-column connections is imperative for ensuring safety. The existing equations in the literature show variability in defining parameters influencing PSS. They neglect potential variable interactions and rely on a limited dataset. This study aims to develop an accurate and reliable model to predict the PSS of slab-column connections. An extensive dataset, including 616 experimental results, was collected from earlier studies. Six robust ensemble machine learning techniques—random forest, gradient boosting, extreme gradient boosting, adaptive boosting, gradient boosting with categorical feature support, and light gradient boosting machines—are employed to predict the PSS. The findings indicate that gradient boosting stands out as the most accurate method compared to other prediction models and existing equations in the literature, achieving a coefficient of determination of 0.986. Moreover, this study utilizes techniques to explain machine learning predictions. A feature importance analysis is conducted, wherein it is observed that the reinforcement ratio and compressive strength of concrete demonstrate the highest influence on the PSS output. SHapley Additive exPlanation is conducted to represent the influence of variables on PSS. A graphical user interface for PSS prediction was developed for users’ convenience. Doi: 10.28991/CEJ-SP2024-010-01 Full Text: PDF

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