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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 1,947 Documents
 191   192   193   194   195 
Application of XGBoost in Road Maintenance Cost Prediction Dian Setiawan; Leksmono S. Putranto; Endah Murtiana Sari
Civil Engineering Journal Vol. 12 No. 4 (2026): April
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2026-012-04-018

Abstract

Road maintenance costs play a critical role in government budgeting, as they represent a recurring expenditure required to sustain transportation infrastructure performance and traffic safety. Accurate cost prediction enables long-term efficiency by ensuring that maintenance budgets are allocated appropriately. This study aims to develop a predictive model for road maintenance cost using the Extreme Gradient Boosting (XGBoost) algorithm, optimized through iterative training to improve prediction accuracy based on deviations between predicted and actual costs. Model performance was evaluated using Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), and the coefficient of determination (R²), all of which indicate a strong model fit and high predictive reliability. The model was developed using simulated and empirical data from 30 road sections with varying characteristics, incorporating key predictors such as road length, cold mix asphalt, asphalt emulsion, diesel fuel, gasoline, water consumption, working area, asphalt removal volume, and labor requirements. The results demonstrate that the proposed XGBoost-based model can effectively estimate maintenance costs and associated resource requirements. The findings provide practical insights for government agencies in planning material usage and workforce allocation for road maintenance activities.
Evaluating AI-Based Video Analytics for Traffic Engineering: Accuracy, Calibration, and Practical Use Dražen Cvitanić; Biljana Maljković; Sanja Vrdoljak
Civil Engineering Journal Vol. 12 No. 4 (2026): April
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2026-012-04-04

Abstract

This paper examines the potential and reliability of AI-based video analytics for solving key traffic engineering problems. The objectives were to compare several commercially available tools for collecting traffic data and, through practical examples, to show that AI-processed data can be used for the development, calibration, and validation of traffic models. Four AI-based video analytics (StreetLogic Pro, DataFromSky, CVEDIA RT Studio, and Camlytics Single) were tested using field video recordings at a signalized intersection on an urban arterial in Split, Croatia. Detection accuracy, usability, and sensitivity to camera placement and recording conditions are analyzed, and selected microscopic parameters (saturation flow rate and control delay) were obtained and compared with values derived from HCM procedures. DataFromSky and CVEDIA RT Studio achieved 97–99% vehicle detection accuracy and provided detailed trajectory data suitable for scientific applications, while StreetLogic Pro achieved 100% accuracy for operational vehicle counting. AI-based estimates of saturation flow rate and control delay differed by less than 1% and 5%, respectively, from traditional field measurements. The main novelty of this research lies in its practical comparison of AI-based video analytics tools combined with a worked example of using AI-derived data to calibrate analytical models, providing practical guidance for researchers and practitioners in traffic engineering.
Dynamic Responses of a Cylindrical Lattice Shell Structure with Explosion Venting Holes under Internal Explosion Shiqi Fu; Xuanneng Gao
Civil Engineering Journal Vol. 12 No. 4 (2026): April
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2026-012-04-022

Abstract

This study investigates the dynamic response of cylindrical steel lattice shell structures subjected to internal explosions and evaluates the effectiveness of explosion venting holes in mitigating structural damage. A detailed numerical model was developed using ANSYS/LS-DYNA and validated against experimental results. The comparison shows good agreement in both overpressure and structural strain responses, confirming the reliability of the model. Internal explosions produce complex shock wave reflections and convergence within confined spaces, leading to severe structural responses that differ significantly from those caused by external explosions. Based on the validated model, a systematic parametric analysis was conducted to examine the effects of venting hole arrangement, venting ratio, charge mass, connection stiffness, and rise-to-span ratio. The results show that dome-mounted and evenly distributed venting holes with a venting ratio of approximately 50% provide the most effective mitigation performance. Compared with a fully confined configuration, this design reduces the peak internal energy by more than 85% and limits the maximum displacement to less than one-third of the baseline value. The results also indicate that a larger charge mass and higher connection stiffness increase the structural energy and deformation, while a larger rise-to-span ratio generally reduces the internal explosion response. The study highlights the importance of combining explosion venting design with geometric optimization to improve the blast resistance of cylindrical lattice shell structures. The findings provide useful guidance for the protective design of large-span structures exposed to internal explosion hazards.
Numerical Assessment of Integrated Perforated and Recurved Seawall Designs for Tsunami Mitigation Weixiao Jiang; Wei Chek Moon; Huanhuan Du; Tze Liang Lau; How Tion Puay; Jin Chai Lee
Civil Engineering Journal Vol. 12 No. 4 (2026): April
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2026-012-04-01

Abstract

Tsunami wave overtopping remains a major challenge for conventional vertical seawalls. Alternative seawall designs have therefore been proposed to address the overtopping issue. This study aims to conduct a staged numerical investigation to evaluate the hydraulic performance of solid, perforated, and integrated perforated–recurved seawall configurations. Tsunami-like waves were simulated in a numerical flume at two impoundment depths under dry and wet bed conditions. The results reveal that perforation significantly reduced peak horizontal wave forces by about 25-30%, depending on the perforation ratio and wave conditions. Nevertheless, this force reduction led to an increase in overtopping discharge, along with higher inland flow depth and velocity. This demonstrates that wave energy is redistributed rather than eliminated. The subsequent multi-criteria performance evaluation found that a 20% perforation ratio offers an optimal compromise between hydraulic performance and material efficiency. Building on this configuration, two types of integrated perforated-recurved seawalls were tested, incorporating triangular and arc-recurved profiles. The results indicate that the addition of the recurved crest elements in the design improved overall energy dissipation from approximately 52% (perforated-only) to over 90% for near-threshold overtopping under dry bed conditions. Among the integrated design types, triangular recurved performed slightly better than arc types. Incorporating perforations and recurves partially offset the disadvantages of each design, and these results demonstrate that such a design is effective and adaptable for mitigating coastal flood risk and improving coastal resilience against tsunamis.
Decoupling Chemical Composition from Viscoelastic Recovery in Rejuvenated Asphalt Binders Multazam Hutabarat; Suwaphit Chamwon; Preeda Chaturabong
Civil Engineering Journal Vol. 12 No. 4 (2026): April
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2026-012-04-09

Abstract

This study investigates the decoupling between bulk chemical composition and high-temperature viscoelastic recovery in rejuvenated asphalt binders. A pressurized aging vessel (PAV)-aged binder (AC60/70) was rejuvenated using pyrolytic bio-oils from sugarcane bagasse (SBO) and rice straw (RSO) at 5–20 wt% dosages. SARA fractionation, colloidal instability index (Ic), penetration, and multiple stress creep recovery (MSCR) testing at 0.1 and 3.2 kPa were conducted before and after a rolling thin film oven (RTFO) aging. Both bio-oils restored SARA fractions to nearly identical levels (Ic = 0.541–0.572), yet penetration diverged substantially (79 vs. 36 dmm at 20% for SBO and RSO, respectively). After RTFO aging, MSCR responses converged across all formulations regardless of pre-aging differences, yielding identical an Equivalent Single Axle Load (ESAL) classification. This convergence is attributed to selective volatilization of low-molecular-weight bio-oil components during thermal conditioning, consistent with findings from a companion rheological–fatigue study. The results reveal a fundamental decoupling: bulk chemical indices, while useful for compositional assessment, do not correspond to stress-dependent viscoelastic recovery mechanisms governing rutting resistance. Performance-based rheological testing is therefore essential for reliable evaluation of rejuvenated binders under field-relevant conditions.
Comparative Study of Crack Width Prediction Models for Reinforced Concrete Beams Vlora Shatri; Burbuqe Shatri; Armend Mujaj; Bajram Shefkiu
Civil Engineering Journal Vol. 12 No. 4 (2026): April
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2026-012-04-019

Abstract

Crack-width control is a critical serviceability limit state (SLS) requirement in reinforced concrete (RC) structures, as excessive cracking can compromise durability and accelerate reinforcement corrosion. This study evaluates the accuracy of crack width prediction models within major international design standards. An experimental investigation was conducted on a RC beam subjected to four-point bending, where crack propagation, beam deflections, and reinforcement stresses were monitored throughout the loading process. The measured crack widths were compared with analytical predictions from Eurocode 2 (EN 1992-1-1), DIN 1045-1, and ACI-based formulations. The results indicate that while all evaluated codes capture the general trend of increasing crack width with rising steel stresses under incremental loading, significant discrepancies exist in their predicted magnitudes. In general, it is Eurocode 2 that consistently provides the most conservative estimates, whereas DIN 1045-1 yields slightly lower but also consistent values of the same. Conversely, ACI-based approaches tend to underestimate crack widths at higher load levels. This study highlights the influence of modeling assumptions—specifically those related to bond-slip behavior, crack spacing, and tension stiffening—on the reliability of crack-width predictions. The results provide experimental evidence regarding the reliability and limitations of common predictive methods, contributing to a refined understanding of design rules for the serviceability of RC structures.
Spatially-Adaptive Calibration for Reliable Uncertainty Quantification in Seismic Response Prediction of RC Frames Donwoo Lee; Seungjae Lee
Civil Engineering Journal Vol. 12 No. 4 (2026): April
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2026-012-04-02

Abstract

Data-driven models offer the computational speed needed for rapid post-earthquake assessment, but their uncertainty estimates must be trustworthy to support safety decisions. This study reveals that Monte Carlo dropout uncertainty for RC frame seismic response prediction is severely miscalibrated: 95% prediction intervals capture only 46.6% of actual responses, meaning Immediate Occupancy assessments under ASCE 41-17 would be unconservative in over half of cases. We address this through post-hoc Temperature Scaling calibration. While a global scaling parameter (T* = 4.40) reduces calibration error by 91.4%, we discover that the optimal calibration factor varies systematically across structural locations: T* ranges from 1.94 at fixed-base nodes to 5.52 at mid-height floors—a 2.8-fold variation that single-parameter approaches cannot capture. This spatial variation reflects physical differences in prediction uncertainty: boundary-constrained nodes exhibit lower uncertainty requiring less scaling, while mid-height nodes dominated by higher-mode contributions show greater uncertainty underestimation. Building on this finding, we propose floor-adaptive calibration using location-specific scaling factors. Compared to global calibration, this approach reduces average calibration error by an additional 62%, with improvements of 61-70% at ground and top floors, where global calibration performs worst. The method requires no model retraining—only a lookup table mapping floor levels to optimal scaling factors. Validation across 12 RC frames (3-7 stories), 2,400 analysis cases, and 35,000+ node-level predictions confirms that spatially adaptive calibration provides more reliable uncertainty estimates across all structural locations, enabling trustworthy confidence intervals for performance-based post-earthquake assessment.

Page 195 of 195 | Total Record : 1947

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