Khalifa Al-Jabri
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Khalifa Al-Jabri has a total of 82 co-authors. Here are the top co-authors by number of shared publications:
- Hossam F. Hassan
Civil and Architectural Engineering Department, Sultan Qaboos University, Muscat, Oman
5 shared publications - Muhammad Bilal Waris
Sultan Qaboos University
5 shared publications - Nammalvar Anand
Department of Civil Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India
4 shared publications Issa Al-Harthy
Department of Civil and Architectural Engineering, College of Engineering, Sultan Qaboos University, Muscat, Sultanate of Oman
3 shared publications- Kazi Md Abu Sohel
College of Engineering, Sultan Qaboos University
3 shared publications - Khalid Al-Shamsi
Civil and Architectural Engineering Department, Sultan Qaboos University, Muscat, Oman
3 shared publications
Latest Publications
- Open Access
- 30 September 2026
- Published by Springer Nature in Circular Economy and Sustainability
- Vol. 6 (5) , 426
From Ad Hoc to Systemic Circular Construction: Evidence of a Legislative Bottleneck in an Emerging Economy
- 30 September 2026
- Published by Springer Nature in Circular Economy and Sustainability
- Vol. 6 (5) , 426
Open AccessFrom Ad Hoc to Systemic Circular Construction: Evidence of a Legislative Bottleneck in an Emerging Economy
- Open Access
- 29 July 2026
- Published by Elsevier in Results in Engineering
- Vol. 32
Kernel principal component analysis as a non-linear unsupervised learning algorithm for assessing drivers of bolted angle steel connection tension failure
- 29 July 2026
- Published by Elsevier in Results in Engineering
- Vol. 32
Open AccessKernel principal component analysis as a non-linear unsupervised learning algorithm for assessing drivers of bolted angle steel connection tension failure
- 4 July 2026
- Published by Springer Nature
- p. 45-54
Sustainable Utilization of Iron Ore Tailings as Sand Alternative in Cement Mortars
- 4 July 2026
- Published by Springer Nature
- p. 45-54
Sustainable Utilization of Iron Ore Tailings as Sand Alternative in Cement Mortars
- 15 June 2026
- Published by IOP Publishing in Engineering Research Express
- Vol. 8 (13)
A Mineralogy-Driven Machine Learning Framework for Optimizing LC³-Based 3D-Printed Cementitious Composites with an Integrated, End-to-End Python-Based Design Tool
This study presents a framework for developing low-carbon, printable limestone–calcined clay cement (LC³) using locally available clays in Oman that primarily contain kaolinite, illite, and montmorillonite. A dataset of 287 formulations using varying the proportions of these components and limestone, with each mix experimentally tested for compressive strength, flexural strength, and static yield stress to link mechanical performance with printability. Two supervised machine learning models: Gaussian Process Regression (GPR) and a shape-constrained Generalized Additive Model (GAM), were trained on the dataset. GPR showed superior performance, achieving R² values of 0.966 (compressive strength), 0.958 (flexural strength), and 0.736 (yield stress). A multi-objective optimization approach identified an optimal LC³ composition of 60% kaolinite, 5% illite, 5% montmorillonite, and 30% limestone. This mix yielded predicted properties of approximately 35 MPa compressive strength, 4.0 MPa flexural strength, and 720 Pa static yield stress. Experimental validation confirmed improved rheological behavior, with peak shear stress reaching about 950 Pa compared to 670 Pa for an OPC control, while maintaining shear-thinning characteristics. Mechanical testing of 3D-printed elements confirmed anisotropy due to layer interfaces, with 28-day strengths of 33.80 MPa (perpendicular) and 24.00 MPa (parallel), compared to higher values in the control mix. Durability tests using 1% HCl over 120 days showed better residual strength for LC³ (≈24 MPa) than the control (≈22 MPa). Strength degradation followed a Kohlrausch–Williams–Watts model (R² = 0.91), enabling structural parameterization. A validated finite-element model of a 3D-printed wall predicted a 47% reduction in load capacity and 35% stiffness loss after acid exposure. Overall, the study demonstrates a practical, reproducible pathway for sustainable, printable LC³ systems using regional materials. All codes and inputs are provided in Appendix for full reproducibility.
- 15 June 2026
- Published by IOP Publishing in Engineering Research Express
- Vol. 8 (13)
A Mineralogy-Driven Machine Learning Framework for Optimizing LC³-Based 3D-Printed Cementitious Composites with an Integrated, End-to-End Python-Based Design Tool
This study presents a framework for developing low-carbon, printable limestone–calcined clay cement (LC³) using locally available clays in Oman that primarily contain kaolinite, illite, and montmorillonite. A dataset of 287 formulations using varying the proportions of these components and limestone, with each mix experimentally tested for compressive strength, flexural strength, and static yield stress to link mechanical performance with printability. Two supervised machine learning models: Gaussian Process Regression (GPR) and a shape-constrained Generalized Additive Model (GAM), were trained on the dataset. GPR showed superior performance, achieving R² values of 0.966 (compressive strength), 0.958 (flexural strength), and 0.736 (yield stress). A multi-objective optimization approach identified an optimal LC³ composition of 60% kaolinite, 5% illite, 5% montmorillonite, and 30% limestone. This mix yielded predicted properties of approximately 35 MPa compressive strength, 4.0 MPa flexural strength, and 720 Pa static yield stress. Experimental validation confirmed improved rheological behavior, with peak shear stress reaching about 950 Pa compared to 670 Pa for an OPC control, while maintaining shear-thinning characteristics. Mechanical testing of 3D-printed elements confirmed anisotropy due to layer interfaces, with 28-day strengths of 33.80 MPa (perpendicular) and 24.00 MPa (parallel), compared to higher values in the control mix. Durability tests using 1% HCl over 120 days showed better residual strength for LC³ (≈24 MPa) than the control (≈22 MPa). Strength degradation followed a Kohlrausch–Williams–Watts model (R² = 0.91), enabling structural parameterization. A validated finite-element model of a 3D-printed wall predicted a 47% reduction in load capacity and 35% stiffness loss after acid exposure. Overall, the study demonstrates a practical, reproducible pathway for sustainable, printable LC³ systems using regional materials. All codes and inputs are provided in Appendix for full reproducibility.
- 14 June 2026
- Published by Elsevier in Applied Soft Computing
- Vol. 201
Bridging data scarcity in coastal risk forecasting through physics-informed transfer learning and fuzzy decision support
- 14 June 2026
- Published by Elsevier in Applied Soft Computing
- Vol. 201
Bridging data scarcity in coastal risk forecasting through physics-informed transfer learning and fuzzy decision support
- Open Access
- 17 October 2025
- Published by Elsevier in Journal of Materials Research and Technology
- Vol. 39, 5508-5533
Next-generation net-zero composite for underwater 3D printing construction: Hybrid machine learning optimized LC3 with recycled rubber
- 17 October 2025
- Published by Elsevier in Journal of Materials Research and Technology
- Vol. 39, 5508-5533
Open AccessNext-generation net-zero composite for underwater 3D printing construction: Hybrid machine learning optimized LC3 with recycled rubber
- 26 August 2025
- Published by Emerald Publishing in Proceedings of the Institution of Civil Engineers - Forensic Engineering
- Vol. 178 (3) , 81-89
Forensic investigation of a damaged concrete building: causes and remedial measures
This paper presents a forensic investigation methodology which was adopted to identify the causes of deterioration and damage due to groundwater leakage beneath a reinforced concrete (RC) building. Extensive visual inspection, structural, geotechnical and geophysical investigations were used to identify the causes of the problem, assess the structural stability and integrity of the affected building. This study found that the main cause of underground water intrusion into the basement room is from irrigation of lawn and trees that surround the building where the water level was depicted at a depth of 3 m. The geotechnical and geophysical investigations were consistent and revealed the presence of a variable fill layer followed by a thin top layer of medium dense to dense sand followed by weathered conglomerate overlying sandstone. Shutting off the irrigation systems and the removal of the lawns and trees from the immediate vicinity of the building resulted in the stoppage of water intrusion into the basement within 90 days. The study concluded that the building is stable, while precaution remedial measures are recommended to prevent further deterioration. This study also highlights the effectiveness of combining geophysical and geotechnical methods for forensic analysis of damaged buildings.
- 26 August 2025
- Published by Emerald Publishing in Proceedings of the Institution of Civil Engineers - Forensic Engineering
- Vol. 178 (3) , 81-89
Forensic investigation of a damaged concrete building: causes and remedial measures
This paper presents a forensic investigation methodology which was adopted to identify the causes of deterioration and damage due to groundwater leakage beneath a reinforced concrete (RC) building. Extensive visual inspection, structural, geotechnical and geophysical investigations were used to identify the causes of the problem, assess the structural stability and integrity of the affected building. This study found that the main cause of underground water intrusion into the basement room is from irrigation of lawn and trees that surround the building where the water level was depicted at a depth of 3 m. The geotechnical and geophysical investigations were consistent and revealed the presence of a variable fill layer followed by a thin top layer of medium dense to dense sand followed by weathered conglomerate overlying sandstone. Shutting off the irrigation systems and the removal of the lawns and trees from the immediate vicinity of the building resulted in the stoppage of water intrusion into the basement within 90 days. The study concluded that the building is stable, while precaution remedial measures are recommended to prevent further deterioration. This study also highlights the effectiveness of combining geophysical and geotechnical methods for forensic analysis of damaged buildings.
- Open Access
- 28 May 2025
- Published by MDPI AG in Construction Materials
- Vol. 5 (2) , 35
Evaluation of the Rutting Performance of Hot-Mix Asphalt Concrete Containing Ferrochrome Slag Aggregate
Ferrochrome (FeCr) slag is a by-product of high-carbon ferrochromium, which is used in the manufacturing of stainless steel. In this study, FeCr was evaluated as a replacement for natural aggregates in hot-mix asphalt (HMA) bituminous base and wearing course layers. Four mixes were designed according to the Superpave mix design procedure, one control and three mixes, with FeCr slag replacing coarse, fine, or total aggregate. FeCr slag exhibited higher angularity and surface roughness than natural aggregates, resulting in an increased number of voids in mineral aggregate (VMA) and increased binder content. Performance testing using dynamic modulus, finite element analysis, and rutting evaluation using the MEPDG rut model showed that rutting increased with increased slag content. However, mixes with coarse aggregate replacement performed better than those with fine aggregate replacement. TCLP testing indicated that the FeCr slag is environmentally safe. The heavy metal leachate content was well below regulatory limits. Economic analysis showed material cost savings of up to 44% and 4% in the bituminous base and wearing course layers, respectively. The findings support the use of FeCr slag as a coarse aggregate replacement in asphalt mixes, offering both environmental and economic benefits.
- 28 May 2025
- Published by MDPI AG in Construction Materials
- Vol. 5 (2) , 35
Open AccessEvaluation of the Rutting Performance of Hot-Mix Asphalt Concrete Containing Ferrochrome Slag Aggregate
Ferrochrome (FeCr) slag is a by-product of high-carbon ferrochromium, which is used in the manufacturing of stainless steel. In this study, FeCr was evaluated as a replacement for natural aggregates in hot-mix asphalt (HMA) bituminous base and wearing course layers. Four mixes were designed according to the Superpave mix design procedure, one control and three mixes, with FeCr slag replacing coarse, fine, or total aggregate. FeCr slag exhibited higher angularity and surface roughness than natural aggregates, resulting in an increased number of voids in mineral aggregate (VMA) and increased binder content. Performance testing using dynamic modulus, finite element analysis, and rutting evaluation using the MEPDG rut model showed that rutting increased with increased slag content. However, mixes with coarse aggregate replacement performed better than those with fine aggregate replacement. TCLP testing indicated that the FeCr slag is environmentally safe. The heavy metal leachate content was well below regulatory limits. Economic analysis showed material cost savings of up to 44% and 4% in the bituminous base and wearing course layers, respectively. The findings support the use of FeCr slag as a coarse aggregate replacement in asphalt mixes, offering both environmental and economic benefits.
- 27 October 2024
- Published by Springer Nature
- p. 261-269
Sustainable Disposal of Waste Rockwool in the Production of Normal and Lightweight LC3-Based High-Performance Mortars
- 27 October 2024
- Published by Springer Nature
- p. 261-269
Sustainable Disposal of Waste Rockwool in the Production of Normal and Lightweight LC3-Based High-Performance Mortars