Qing Quan Liang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Qing Quan Liang has a total of 111 co-authors. Here are the top co-authors by number of shared publications:
Vipulkumar Ishvarbhai Patel
29 shared publications- Muhammad N. S. Hadi
Univ. of Wollongong
25 shared publications - Mizan Ahmed
Centre for Infrastructure Monitoring and Protection, School of Civil and Mechanical Engineering, Curtin University, Bentley, Australia
17 shared publications Mizan Ahmed
10 shared publications- Brian Uy
School of Civil Engineering; The University of Sydney; NSW 2006 Australia
9 shared publications - Vipulkumar Ishvarbhai Patel
School of Computing, Engineering and Mathematical Sciences, La Trobe University, Bendigo, VIC 3552, Australia
7 shared publications
Latest Publications
- 23 October 2026
- Published by World Scientific Pub Co Pte Ltd in International Journal of Structural Stability and Dynamics
Seismic Simulation of Self-Slitting Squat Composite Shear Walls Incorporating Recycled Aggregate Concrete
A dual-function self-slitting recycled aggregate concrete squat composite shear wall with steel tubes (DF-SRAC-SCSW) is an efficient lateral load resisting system. In this system, the boundary elements are designed to provide both load-bearing capacity and self-slitting energy dissipation through the formation of controlled vertical slits under cyclic loading. This paper presents a numerical study on the seismic performance of squat composite shear walls constructed with recycled aggregate concrete and steel tubes. A three-dimensional finite element (FE) model is developed in ABAQUS, in which a proposed bond-slip constitutive model is used to simulate the bond-slip behavior between steel tubes and concrete. The validated FE model is employed to investigate the effects of axial compressive ratio, hoop spacing, yield strength of steel, steel content ratio, recycled concrete strength, shear span ratio, and steel tube arrangement on seismic performance. The results indicate that axial compressive ratio and shear span ratio are key factors governing seismic performance. Shear walls with high axial compressive ratios combined with low shear span ratios have a higher risk of brittle failure. Closely spaced hoops and higher steel content ratios improve confinement to the core RAC, thereby enhancing strength, stiffness, and energy dissipation. In addition, the number and distribution of steel tubes strongly influence seismic response, with a uniform distribution along the wall length providing the most favorable balance between strength, ductility, and energy dissipation. Design-oriented recommendations are proposed for DF-SRAC-SCSWs, offering practical guidelines for the seismic design of sustainable composite wall systems.
- 23 October 2026
- Published by World Scientific Pub Co Pte Ltd in International Journal of Structural Stability and Dynamics
Seismic Simulation of Self-Slitting Squat Composite Shear Walls Incorporating Recycled Aggregate Concrete
A dual-function self-slitting recycled aggregate concrete squat composite shear wall with steel tubes (DF-SRAC-SCSW) is an efficient lateral load resisting system. In this system, the boundary elements are designed to provide both load-bearing capacity and self-slitting energy dissipation through the formation of controlled vertical slits under cyclic loading. This paper presents a numerical study on the seismic performance of squat composite shear walls constructed with recycled aggregate concrete and steel tubes. A three-dimensional finite element (FE) model is developed in ABAQUS, in which a proposed bond-slip constitutive model is used to simulate the bond-slip behavior between steel tubes and concrete. The validated FE model is employed to investigate the effects of axial compressive ratio, hoop spacing, yield strength of steel, steel content ratio, recycled concrete strength, shear span ratio, and steel tube arrangement on seismic performance. The results indicate that axial compressive ratio and shear span ratio are key factors governing seismic performance. Shear walls with high axial compressive ratios combined with low shear span ratios have a higher risk of brittle failure. Closely spaced hoops and higher steel content ratios improve confinement to the core RAC, thereby enhancing strength, stiffness, and energy dissipation. In addition, the number and distribution of steel tubes strongly influence seismic response, with a uniform distribution along the wall length providing the most favorable balance between strength, ductility, and energy dissipation. Design-oriented recommendations are proposed for DF-SRAC-SCSWs, offering practical guidelines for the seismic design of sustainable composite wall systems.
- Open Access
- 12 August 2026
- Published by Elsevier in Structures
- Vol. 92
Structural performance of edge slab–column connections strengthened with high-performance materials: Experimental, numerical, and analytical studies
- 12 August 2026
- Published by Elsevier in Structures
- Vol. 92
Open AccessStructural performance of edge slab–column connections strengthened with high-performance materials: Experimental, numerical, and analytical studies
- 9 July 2026
- Published by World Scientific Pub Co Pte Ltd in International Journal of Structural Stability and Dynamics
A unified design method for concrete-filled composite columns under fire exposure
Concrete-filled double steel tubular (CFDST) columns possess higher fire resistance than concrete-filled steel tubular (CFST) and double-skin CFST (DCFST) columns. However, there is a lack of a simple and practical fire design method for such concrete-filled composite (CFC) columns. This paper proposes a unified method for the design of CFC columns exposed to fire, including CFDST, CFST, and DCFST columns. The unified method is developed based on the Rankine approach, in which the temperature-dependent sectional resistance, Euler buckling load, global buckling reduction, and loading eccentricity effect are consistently incorporated. A total of 474 finite element models were developed using Abaqus to simulate the fire behavior of CFDST columns. A new buckling curve for CFDST columns is derived from Rankine's theory. The buckling coefficients are calibrated by the finite element analysis results. A parameter is proposed to account for the influence of loading eccentricity on the column behavior. Furthermore, a MATLAB-based post-processing program is developed to monitor the temperature evolution of CFC columns. The average temperatures are calculated to approximate the temperature fields in a composite column. The accuracy of the proposed unified method is validated by 118 experimental results and 1040 finite element simulations of CFC columns exposed to fire. The unified method is shown to be an accurate and efficient tool for practical design of CFC columns under fire exposure.
- 9 July 2026
- Published by World Scientific Pub Co Pte Ltd in International Journal of Structural Stability and Dynamics
A unified design method for concrete-filled composite columns under fire exposure
Concrete-filled double steel tubular (CFDST) columns possess higher fire resistance than concrete-filled steel tubular (CFST) and double-skin CFST (DCFST) columns. However, there is a lack of a simple and practical fire design method for such concrete-filled composite (CFC) columns. This paper proposes a unified method for the design of CFC columns exposed to fire, including CFDST, CFST, and DCFST columns. The unified method is developed based on the Rankine approach, in which the temperature-dependent sectional resistance, Euler buckling load, global buckling reduction, and loading eccentricity effect are consistently incorporated. A total of 474 finite element models were developed using Abaqus to simulate the fire behavior of CFDST columns. A new buckling curve for CFDST columns is derived from Rankine's theory. The buckling coefficients are calibrated by the finite element analysis results. A parameter is proposed to account for the influence of loading eccentricity on the column behavior. Furthermore, a MATLAB-based post-processing program is developed to monitor the temperature evolution of CFC columns. The average temperatures are calculated to approximate the temperature fields in a composite column. The accuracy of the proposed unified method is validated by 118 experimental results and 1040 finite element simulations of CFC columns exposed to fire. The unified method is shown to be an accurate and efficient tool for practical design of CFC columns under fire exposure.
- Open Access
The Development and Optimization of Machine Learning Models for Predicting the Shear Capacity of Corroded Reinforced Concrete Beams
The deterioration of steel reinforcement through corrosion triggers cracking and loss of concrete cover, ultimately weakening the structure’s strength and ductility. In practical design and assessment, it is vital to precisely quantify the shear capacity of corroded reinforced concrete beams (CRCBs). In this paper, machine learning (ML) models are developed to predict the shear capacity of CRCBs, including kernel ridge regression (KRR), K-nearest neighbors (KNN), decision trees (DT), random forest (RF), gradient-boosted regression trees (GBRT), and extreme gradient boosting (XGBoost). A total of 408 data entries on the shear strength of CRCBs under different corrosion conditions were collected to establish an extensive database. The reliability of the proposed ML models is examined by contrasting their outputs with the experimental data. The XGBoost model demonstrated superior predictive capability, achieving an R2 value of 0.994 and outperforming all other tested models, including RF, GBRT, and DT. The Shapley Additive Explanations (SHAP) algorithm is adopted to reveal the contribution of each input feature to the predicted shear capacity of CRCBs. The interpretive SHAP results show that the ultimate shear capacity of CRCBs is most influenced by beam depth (h), with the shear span-to-depth ratio (λ) and concrete compressive strength () being the subsequent key contributors. A comparative assessment between the XGBoost model and traditional analytical models was carried out to estimate the shear strength of CRCBs. Results demonstrate that the XGBoost model delivers enhanced predictive accuracy and improved performance. A parametric investigation examined its robustness under variations in geometry and material properties, while a user-friendly interface was created to support its practical use.Open AccessThe Development and Optimization of Machine Learning Models for Predicting the Shear Capacity of Corroded Reinforced Concrete Beams
The deterioration of steel reinforcement through corrosion triggers cracking and loss of concrete cover, ultimately weakening the structure’s strength and ductility. In practical design and assessment, it is vital to precisely quantify the shear capacity of corroded reinforced concrete beams (CRCBs). In this paper, machine learning (ML) models are developed to predict the shear capacity of CRCBs, including kernel ridge regression (KRR), K-nearest neighbors (KNN), decision trees (DT), random forest (RF), gradient-boosted regression trees (GBRT), and extreme gradient boosting (XGBoost). A total of 408 data entries on the shear strength of CRCBs under different corrosion conditions were collected to establish an extensive database. The reliability of the proposed ML models is examined by contrasting their outputs with the experimental data. The XGBoost model demonstrated superior predictive capability, achieving an R2 value of 0.994 and outperforming all other tested models, including RF, GBRT, and DT. The Shapley Additive Explanations (SHAP) algorithm is adopted to reveal the contribution of each input feature to the predicted shear capacity of CRCBs. The interpretive SHAP results show that the ultimate shear capacity of CRCBs is most influenced by beam depth (h), with the shear span-to-depth ratio (λ) and concrete compressive strength () being the subsequent key contributors. A comparative assessment between the XGBoost model and traditional analytical models was carried out to estimate the shear strength of CRCBs. Results demonstrate that the XGBoost model delivers enhanced predictive accuracy and improved performance. A parametric investigation examined its robustness under variations in geometry and material properties, while a user-friendly interface was created to support its practical use. - Open Access
- 14 May 2026
- Published by Wiley in Structural Concrete
Behavior of manufactured sand and recycled coarse aggregate concrete‐filled steel tubular stub columns with circular section
Accelerated urbanization has intensified environmental concerns due to excessive natural resource consumption and construction waste generation. Circular concrete‐filled steel tube (CFST) columns incorporating manufactured sand recycled coarse aggregate (MS‐RCA) concrete have emerged as an innovative composite element offering notable environmental and economic benefits. To advance the use of MS‐RCA concrete in CFST structures, this paper presents experimental investigations into the behavior of 72 circular CFST stub columns constructed with MS‐RCA concrete. The effects of aggregate type, steel tube thickness, and stone powder content on structural response are examined. The results show that the failure modes of CFST columns with MS‐RCA concrete are characterized by local buckling and shear failure, similar to those of circular CFST columns with natural aggregate concrete. CFST columns with MS‐RCA have about 5.6% higher ultimate axial strength than those filled with natural sand‐RCA concrete. The inclusion of MS significantly enhances the ductility of CFST columns by an average of 34.6%, 25.4%, and 28.6% for steel tube thicknesses of 3.0, 3.5, and 4.0 mm, respectively. Moreover, for high‐strength concrete, the ultimate strength of columns filled with pebble MS‐RCA concrete is higher than that of those filled with limestone MS‐RCA concrete. Existing codes for CFST columns are evaluated and found to be highly conservative. Therefore, a new formula is proposed for CFST columns filled with MS‐RCA concrete and validated by experimental data. These findings confirm the viability of CFST columns with MS‐RCA concrete and highlight their potential to advance sustainable civil infrastructure.
- 14 May 2026
- Published by Wiley in Structural Concrete
Open AccessBehavior of manufactured sand and recycled coarse aggregate concrete‐filled steel tubular stub columns with circular section
Accelerated urbanization has intensified environmental concerns due to excessive natural resource consumption and construction waste generation. Circular concrete‐filled steel tube (CFST) columns incorporating manufactured sand recycled coarse aggregate (MS‐RCA) concrete have emerged as an innovative composite element offering notable environmental and economic benefits. To advance the use of MS‐RCA concrete in CFST structures, this paper presents experimental investigations into the behavior of 72 circular CFST stub columns constructed with MS‐RCA concrete. The effects of aggregate type, steel tube thickness, and stone powder content on structural response are examined. The results show that the failure modes of CFST columns with MS‐RCA concrete are characterized by local buckling and shear failure, similar to those of circular CFST columns with natural aggregate concrete. CFST columns with MS‐RCA have about 5.6% higher ultimate axial strength than those filled with natural sand‐RCA concrete. The inclusion of MS significantly enhances the ductility of CFST columns by an average of 34.6%, 25.4%, and 28.6% for steel tube thicknesses of 3.0, 3.5, and 4.0 mm, respectively. Moreover, for high‐strength concrete, the ultimate strength of columns filled with pebble MS‐RCA concrete is higher than that of those filled with limestone MS‐RCA concrete. Existing codes for CFST columns are evaluated and found to be highly conservative. Therefore, a new formula is proposed for CFST columns filled with MS‐RCA concrete and validated by experimental data. These findings confirm the viability of CFST columns with MS‐RCA concrete and highlight their potential to advance sustainable civil infrastructure.
- Open Access
- 17 April 2026
- Published by Elsevier in Engineering Structures
- Vol. 360
Experimental study of concrete-encased composite columns with GFRP-steel tubes filled with sea-sand concrete under cyclic loading
- 17 April 2026
- Published by Elsevier in Engineering Structures
- Vol. 360
Open AccessExperimental study of concrete-encased composite columns with GFRP-steel tubes filled with sea-sand concrete under cyclic loading
- 15 July 2025
- Published by Elsevier in Structures
- Vol. 79
Fatigue behavior and design of reinforced concrete beams strengthened with PCM-BFRP grids
- 15 July 2025
- Published by Elsevier in Structures
- Vol. 79
Fatigue behavior and design of reinforced concrete beams strengthened with PCM-BFRP grids
- Open Access
- 27 June 2025
- Published by Elsevier in Structures
- Vol. 79
Seismic performance of self-slitting composite shear walls with energy dissipation incorporating external O-connectors
- 27 June 2025
- Published by Elsevier in Structures
- Vol. 79
Open AccessSeismic performance of self-slitting composite shear walls with energy dissipation incorporating external O-connectors
- Open Access
- 6 May 2025
- Published by Elsevier in Structures
- Vol. 77
Experimental study on seismic behavior of self-slitting composite shear walls with external O-type dampers
- 6 May 2025
- Published by Elsevier in Structures
- Vol. 77
Open AccessExperimental study on seismic behavior of self-slitting composite shear walls with external O-type dampers