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 1,897 Documents
 186   187   188   189   190 
Functional Verification of a Stainless Steel Reference Block for Calibration of Industrial Ultrasonic Test System Vera, Jorge; Caballero, Luis; Taboada, Martín; Aguilar, Luis; Briceño, Braulio; Azabache, Eduardo
Civil Engineering Journal Vol. 12 No. 2 (2026): February
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2026-012-02-09

Abstract

In the construction and assembly of metal structures, ultrasonic testing constitutes a pillar for the guarantee of structural integrity. This study aimed to develop and experimentally validate a semi-cylindrical reference block, optimized for the ultrasonic inspection of welds in austenitic stainless steels under the AWS D1.6 code. Unlike conventional devices, this proposal integrates three functional zones into a unified body. Methodologically, the acoustic properties of velocity and attenuation coefficient were characterized using the pulse-echo technique with 2.25 and 5.0 MHz transducers, validating the results through analysis of variance (ANOVA) and Pearson correlation. The findings revealed a statistically significant influence of frequency on the acoustic properties of the material. Functionally, experimental tests demonstrated that the geometric arrangement of three integrated references allows for the efficient construction of Distance-Amplitude Correction (DAC) curves and direct angular verification, overcoming the logistical limitations of conventional prismatic blocks. The main novelty of the device lies in its capacity to unify the functions of sensitivity, resolution, and distance calibration into a single body of acoustically equivalent material, eliminating the need for complex correction factors and ensuring greater precision in industrial inspection.
Structural Behavior of Beam-Column Connection Using Post-Installed Steel and GFRP Rebars Mutashar, Borkan M.; Salih, Oday Asal; Kasim , Suhaib Y.
Civil Engineering Journal Vol. 12 No. 2 (2026): February
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2026-012-02-08

Abstract

This study investigates the performance of steel and GFRP bars as post-installed reinforcement for retrofitting concrete infrastructure through experimental evaluation of the structural performance of the beam-column connection specimens. Three groups of concrete specimens were tested under flexural loading to investigate the influence of bar diameter, bar material (Steel vs. GFRP), and installation method on failure modes, load-deflection curves, and bond strength. The main failure mode at the connections was concrete breakout; however, specimens reinforced with small-diameter post-installed bars tended to fail by bar pullout. The load capacity increases by 9.64% and 12.5% when the diameter of the post-installed GFRP bar increases from 12 to 16 mm and 20 mm, respectively, and the deflection at the midspan of the beam decreases by 17.9% and 33.6% for 16 and 20 mm bars. Specimens with cast-installed reinforcements showed comparable load capacity to post-installed specimens but exhibited lower displacements. Increasing bar diameter reduced bond strength, and GFRP bars showed lower bond strength than steel bars. Overall, the results highlight the potential of GFRP bars as reliable post-installed reinforcement for strengthening critical concrete connections.
A Correlated Random-Field Ising Model for Pore-Scale Hysteresis in Soil-Water Characteristic Curves Gómez Azuero, Angela Viviana; Salazar Montenegro, Juan Carlos
Civil Engineering Journal Vol. 12 No. 2 (2026): February
Publisher : Salehan Institute of Higher Education

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

Abstract

The soil–water characteristic curve (SWCC) plays a central role in the behavior of unsaturated soils, yet explaining its hysteresis directly from pore-scale mechanisms remains challenging. The objective of this study is to investigate how pore-size heterogeneity, spatial correlations, and cooperative dynamics contribute to hysteresis in SWCCs. In this study, a correlated Random-Field Ising Model (RFIM) combined with Monte Carlo simulations is developed to represent the pore space as a two-dimensional lattice with a bimodal distribution of pore volumes and a spatially correlated disorder field. Drainage processes are simulated without parametric curve fitting, enabling direct analysis of pore-scale switching dynamics. The results show that macropore fraction, pore-size heterogeneity, and the activation parameter \beta exert a strong control on drainage behavior. Low \beta values produce smooth and nearly reversible drainage, whereas higher \beta stabilizes metastable pore configurations and yields abrupt transitions accompanied by hysteresis. The divergence between number-based and volume-based saturation serves as a useful indicator of size-selective drainage and cooperative pore-scale events. The novelty of this work lies in providing a physically grounded and statistically dynamics to macroscopic hysteresis in SWCCs, offering insights beyond traditional phenomenological or uncorrelated pore-network approaches.
Effect of Fly Ash and Nano-Silica Fume on Soft Clay: Atterberg Limits, MDD, and OMC Jumaa, Ruqaya M.; Saeed, Khitam A.; Al-Jaberi, Layth A.
Civil Engineering Journal Vol. 12 No. 2 (2026): February
Publisher : Salehan Institute of Higher Education

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

Abstract

To improve the geotechnical properties of soft clay soil, this study compares and contrasts two types of micro and nano stabilizing additives: fly ash and nano-silica fume. Treatments with fly ash and nano-silica fume were applied to soft clay samples from Basra, Iraq, at varying fly ash concentrations. The samples were then subjected to the treatments. The ASTM requirements were adhered to in the laboratory tests conducted to investigate changes in plasticity characteristics, maximum dry density, and optimum moisture content (OMC). In the course of this research, Atterberg limits and standard compaction tests were undertaken. In accordance with the findings, fly ash reduces MDD (maximum dry density) by increasing the plastic limit and OMC while simultaneously decreasing the liquid limit and plasticity index. On the other hand, nano-silica fume enhances MDD, decreases OMC and the plastic limit, and increases the plasticity index and the liquid limit. The flocculation and dilution of clay particles are both promoted by fly ash, but the significant reactivity of nano-silica fume increases water adsorption and pore filling. The differences in particle size, specific surface area, and interaction mechanisms explain the observed divergent tendencies. Micro- and nanosized additives added to local soft clay at the same dosage were compared and contrasted in this study. This comparative analysis aims to help select the most effective stabilizing agents that either increase soil plasticity or improve compaction properties. The use of such an approach is a new methodological contribution.
From Corrosion to Collapse: Spatiotemporal Evolution of Local Stability in Anchored Anti-Dip Slopes Wang, Ding-Jian; Wang, Qian-Yun; Fan, Zhi-Qiang; Ouyang, Fang; Zhang, Ya-Hui
Civil Engineering Journal Vol. 12 No. 2 (2026): February
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2026-012-02-01

Abstract

The long-term stability of anchored anti-dip slopes in hydropower and mining projects is threatened by corrosion-induced degradation of rock bolt systems. Existing deterministic models relying on global safety factors fail to capture localized failure mechanisms and inherent geotechnical uncertainties. This study aims to develop a probabilistic framework for assessing the spatiotemporal stability evolution of such slopes under progressive bolt corrosion. A novel Factor of Local Safety (FoLS) is introduced to quantify stability at individual rock column levels, enabling spatially explicit assessment. This metric is integrated with a time-variant mechanical model for bolt capacity loss and Monte Carlo simulation for uncertainty propagation. Applied to a representative slope, the framework reveals complex degradation patterns: failure initiates in the extremely active toppling zone, progresses to the moderately active zone, and ultimately extends to the passive and shear sliding zones. Sensitivity analyses highlight the critical influence of bolt inclination, yield strength, bolt-rock bond strength, and grout water-cement ratio. Comparative anchorage scenarios demonstrate the superior long-term effectiveness of lower-bench reinforcement. The study provides a novel, spatially differentiated approach for the design, maintenance, and risk management of anchored anti-dip slopes, emphasizing the necessity of dynamic stability monitoring over time.
Optimization of Drilling and Blasting Parameters During the Drifting of Underground Mine Workings Almenov, Talgat; Zhanakova, Raissa; Shabaz, Din-Mukhammed; Orynbas, Arsen
Civil Engineering Journal Vol. 12 No. 2 (2026): February
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2026-012-02-014

Abstract

The study aims to scientifically substantiate optimal drilling-and-blasting (D&B) parameters for driving underground mine workings under complex geological and mining conditions at the Akzhal deposit. The work addresses the selection of explosive types and the rational depth, configuration, and design of cut boreholes, together with their blasting pattern (BP), to improve rock-mass stability, operational safety, and advance efficiency. The methodology combines an assessment of geological-technical conditions with a review of current blasting practice, mathematical and numerical modelling of blast-induced face breakage, and pilot-scale industrial trials supported by statistical analysis and techno-economic evaluation under routine production constraints and reporting. The results show that optimization of the BP increases the borehole utilization factor (BUF) from η = 0.85 to η = 0.98. The locally produced Granulite A6 is proven effective, reducing blasting costs by 1.5 times relative to AS-8 while preserving the required energy characteristics. Charge optimization improves excavation-contour quality, enhances fragmentation uniformity, and reduces overbreak; the most rational solution is a rhombic cut combined with Granulite A6. Scientific novelty lies in integrating geological-geomechanical analysis, 3D modelling in Micromine, and industrial validation. Practical relevance is confirmed by decreasing cycle costs from USD 538.85 to USD 489.38, improving BUF, and enhancing contour quality.
Hierarchical Learning-Based System Decomposition for Time-Dependent Structural System Reliability Assessment Yan, Bingchuan; Han, Bing; Xie, Huibing; Yu, Jiaping
Civil Engineering Journal Vol. 12 No. 2 (2026): February
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2026-012-02-05

Abstract

Time-dependent reliability assessment of structural systems is challenging when degradation and multiple interacting failure modes govern failure. Under these conditions, the system limit state function (LSF) may be highly nonlinear, non-smooth, and available only implicitly through high-fidelity analysis. This paper proposes a system decomposition and hierarchical learning (DHL) framework to construct an evaluable surrogate system LSF for degradation-driven, time-variant reliability analysis. The structural system is decomposed into dominant failure modes and their connectivity. Artificial neural networks are trained hierarchically to learn the decomposed relationships. Mode-level surrogates approximate the LSF of each failure mode. A system-level surrogate then integrates the mode-level performance quantities and time to capture mode interaction and mechanism switching. The resulting surrogate is combined with Monte Carlo simulation and the probability density evolution method to compute time-dependent failure probabilities and, when required, the evolution of the system performance probability density. Two benchmark problems—a highly nonlinear parallel system and a rigid–plastic portal frame with correlated collapse mechanisms under degrading capacities—are used to evaluate the approach. DHL improves system-level surrogate fidelity relative to direct system-level ANN learning, with mean reliability prediction errors below 3.1% and 1.23% in the two benchmarks, respectively, while remaining compatible with both sampling-based and density-evolution propagation schemes.

Page 190 of 190 | Total Record : 1897

 186   187   188   189   190 

Filter by Year

2015 2026


Reset
Filter By Issues
All Issue Vol. 12 No. 2 (2026): February Vol. 12 No. 1 (2026): January 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. 3 (2025): March Vol 11, No 2 (2025): February 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