All Outputs (53)

The unspoken value of water infrastructure (2025)
Journal Article
Valero, D., Pummer, E., Heller, V., Kramer, M., Bung, D. B., Mulligan, S., & Erpicum, S. (2025). The unspoken value of water infrastructure. Renewable and Sustainable Energy Reviews, 212, Article 115378. https://doi.org/10.1016/j.rser.2025.115378

Water infrastructure forms the backbone of development, being pivotal for water, food and energy security. Both existing and new infrastructure must cope with global climatic challenges and increased human activity. Continuous investment in water inf... Read More about The unspoken value of water infrastructure.

Enhancing fatigue resistance and low-temperature performance of asphalt pavements using antioxidant additives (2025)
Journal Article
Hu, Y., Cheng, X., Sreeram, A., Si, W., Li, B., Pipintakos, G., & Airey, G. D. (2025). Enhancing fatigue resistance and low-temperature performance of asphalt pavements using antioxidant additives. Materials and Structures, 58, Article 46. https://doi.org/10.1617/s11527-025-02574-4

Ageing results in significant performance deterioration of asphalt, especially in relation to its fatigue and low-temperature performance. This performance deterioration can theoretically be lowered by incorporating antioxidants in asphalt mixtures.... Read More about Enhancing fatigue resistance and low-temperature performance of asphalt pavements using antioxidant additives.

An indirect data-driven model-updating framework to estimate soil-pile interaction parameters using output-only data (2025)
Journal Article
Ioakim, A., Greś, S., Döhler, M., Prendergast, L. J., & Chatzi, E. (2025). An indirect data-driven model-updating framework to estimate soil-pile interaction parameters using output-only data. Engineering Structures, 328, Article 119699. https://doi.org/10.1016/j.engstruct.2025.119699

This paper presents a data-driven model updating framework to estimate the operational parameters of a laterally-impacted pile. The goal is to facilitate the estimation of soil-pile interaction parameters such as the mobilized mass and stiffness, as... Read More about An indirect data-driven model-updating framework to estimate soil-pile interaction parameters using output-only data.

Physicochemical compatibility assessment of bio-additives and bitumen using solubility science-based approaches (2025)
Journal Article
Hu, Y., Sreeram, A., Al-Tabbaa, A., & Airey, G. D. (2025). Physicochemical compatibility assessment of bio-additives and bitumen using solubility science-based approaches. Fuel, 387, Article 134361. https://doi.org/10.1016/j.fuel.2025.134361

Increasing environmental concerns necessitate the urgent investigation of alternative, sustainable resources as replacement for fossil fuel-derived bitumen; the primary material used for road construction. One of the promising approaches is the use o... Read More about Physicochemical compatibility assessment of bio-additives and bitumen using solubility science-based approaches.

Effectiveness of SRG in shear strengthening of deep and slender concrete beams (2025)
Journal Article
Liu, X., & Thermou, G. E. (2025). Effectiveness of SRG in shear strengthening of deep and slender concrete beams. Structures, 71, Article 108197. https://doi.org/10.1016/j.istruc.2025.108197

This study investigates Steel-Reinforced Grout (SRG) jackets’ efficiency in enhancing the shear strength in Reinforced Concrete (RC) beams with various shear span-to-depth (a/d) ratios, comparing them with Carbon Fabric Reinforced Cementitious Mortar... Read More about Effectiveness of SRG in shear strengthening of deep and slender concrete beams.

Comprehensive prediction of subaerial landslide-tsunamis via slide model- and water body geometry-invariant machine learning techniques (2025)
Journal Article
Jenkins, D. G., Heller, V., & Giannakidis, A. (2025). Comprehensive prediction of subaerial landslide-tsunamis via slide model- and water body geometry-invariant machine learning techniques. Ocean Engineering, 320, Article 120197. https://doi.org/10.1016/j.oceaneng.2024.120197

Subaerial landslide-tsunamis (SLTs) are generated by mass movements impacting water bodies. These phenomena are responsible for substantial loss of life and damage to properties making their prediction vital. There is limited literature on deriving c... Read More about Comprehensive prediction of subaerial landslide-tsunamis via slide model- and water body geometry-invariant machine learning techniques.

Data integration framework for multi-level information modelling and numerical analysis of deteriorated RC bridges (2025)
Journal Article
Alsharif, M. A., Thermou, G., Ninic, J., & Tizani, W. (2025). Data integration framework for multi-level information modelling and numerical analysis of deteriorated RC bridges. Advances in Engineering Software, 202, Article 103860. https://doi.org/10.1016/j.advengsoft.2024.103860

Structural assessment of deteriorated bridges is a vital step in the decision-making process for asset management. This paper proposes a novel Building Information Modelling (BIM) and Finite Element (FE) integration framework to analyse and retrofit... Read More about Data integration framework for multi-level information modelling and numerical analysis of deteriorated RC bridges.

Numerical study on ballast disturbance and maintenance performance of tamping and stone-blowing (2025)
Journal Article
Chen, C., Li, P.-Y., McDowell, G., Zhang, L., & Rao, W.-J. (2025). Numerical study on ballast disturbance and maintenance performance of tamping and stone-blowing. Construction and Building Materials, 460, Article 139837. https://doi.org/10.1016/j.conbuildmat.2024.139837

Ballasted trackbeds are prone to settlement and degradation under long-term train loads, effective and timely maintenance is crucial for extending the lifespan of trackbeds and ensuring the safety of railway operations. Ballast maintenance, such as t... Read More about Numerical study on ballast disturbance and maintenance performance of tamping and stone-blowing.

A novel fatigue test method for bitumen-stone combinations under cyclic tension-compression loading (2024)
Journal Article
Zhou, L., Airey, G., Zhang, Y., Huang, W., & Wang, C. (2025). A novel fatigue test method for bitumen-stone combinations under cyclic tension-compression loading. Materials and Design, 249, Article 113577. https://doi.org/10.1016/j.matdes.2024.113577

Asphalt pavement distress is closely linked to the fatigue performance of asphalt mixtures. Traditional fatigue tests like the dynamic shear rheometer (DSR) cannot assess failure between bitumen and stone, while methods like the four-point bending (4... Read More about A novel fatigue test method for bitumen-stone combinations under cyclic tension-compression loading.

Data-driven shear strength prediction of RC beams strengthened with FRCM jackets using machine learning approach (2024)
Journal Article
Liu, X., Figueredo, G. P., Gordon, G. S., & Thermou, G. E. (2025). Data-driven shear strength prediction of RC beams strengthened with FRCM jackets using machine learning approach. Engineering Structures, 325, Article 119485. https://doi.org/10.1016/j.engstruct.2024.119485

Fabric Reinforced Cementitious Matrix (FRCM) is an effective intervention method for improving the shear strength of existing reinforced concrete (RC) beams, yet predictive analyses are scarce. This study introduces and compares nine machine learning... Read More about Data-driven shear strength prediction of RC beams strengthened with FRCM jackets using machine learning approach.

A Revolutionary Deep Generative Modelling for Linear and Nonlinear Analysis of Masonry (2024)
Presentation / Conference Contribution
Adaileh, A., Ghiassi, B., & Briganti, R. (2024, July). A Revolutionary Deep Generative Modelling for Linear and Nonlinear Analysis of Masonry. Presented at 18th International Brick and Block Masonry Conference, Birmingham, UK

The primary challenge in designing and analysing masonry structures is predicting their mechanical response. In particular, fast and direct prediction of masonry mechanical response field is desirable. This motivates the present study to introduce an... Read More about A Revolutionary Deep Generative Modelling for Linear and Nonlinear Analysis of Masonry.

Assessment of the Accuracy of Terrestrial Laser Scanners in Detecting Local Surface Anomaly (2024)
Journal Article
Algadhi, A., Psimoulis, P., Grizi, A., & Neves, L. (2024). Assessment of the Accuracy of Terrestrial Laser Scanners in Detecting Local Surface Anomaly. Remote Sensing, 16(24), Article 4647. https://doi.org/10.3390/rs16244647

The surface anomaly is a common defect for structures that resist lateral stresses, such as retaining walls. The accurate detection of an anomaly using contactless techniques, such as the Terrestrial Laser Scanner (TLS), is significant for the reliab... Read More about Assessment of the Accuracy of Terrestrial Laser Scanners in Detecting Local Surface Anomaly.

Compressive behavior and design calculations of CFST slender columns with latticed annular steel part (2024)
Journal Article
Yang, Z.-M., Chen, J., & Pandey, M. (2024). Compressive behavior and design calculations of CFST slender columns with latticed annular steel part. Journal of Constructional Steel Research, 223, Article 109028. https://doi.org/10.1016/j.jcsr.2024.109028

In this paper, the design calculations of axially loaded CFST slender columns with latticed annular steel parts (SRCFST) are proposed based on the separated model. Finite Element (FE) analysis is conducted to predict the axial compressive performance... Read More about Compressive behavior and design calculations of CFST slender columns with latticed annular steel part.

Exploration of Lean Construction in Japan and Its Paradoxical Stance (2024)
Presentation / Conference Contribution
Shigaki, J., Koskela, L., Tezel, A., & Pedo, B. (2024, July). Exploration of Lean Construction in Japan and Its Paradoxical Stance. Presented at 32nd Annual Conference of the International Group for Lean Construction (IGLC 32), Auckland, New Zealand

Japanese construction, appraised for its high quality and production efficiency, holds virtues that Lean advocates have long admired in the Toyota Production System. However, Japanese building construction academia and industry organizations have rem... Read More about Exploration of Lean Construction in Japan and Its Paradoxical Stance.

Research on cold-formed high strength steel tubular T- and X-joints (2024)
Journal Article
Pandey, M., & Young, B. (2024). Research on cold-formed high strength steel tubular T- and X-joints. Journal of Constructional Steel Research, 219, Article 108669. https://doi.org/10.1016/j.jcsr.2024.108669

This paper summarises the investigations carried out by the authors on traditional and member-rotated T- and X-joints made of cold-formed S900 and S960 steel grades tubular members with nominal 0.2% proof stresses (equivalent to yield strengths) of 9... Read More about Research on cold-formed high strength steel tubular T- and X-joints.

New insights into the mechanism of load transfer in steel-encased CFST connections (2024)
Journal Article
Song, S.-S., Chen, J., Zhan, X., & Pandey, M. (2024). New insights into the mechanism of load transfer in steel-encased CFST connections. Journal of Constructional Steel Research, 214, Article 108432. https://doi.org/10.1016/j.jcsr.2023.108432

Extensive numerical studies and analysis are presented to gain insights into the mechanism of load transfer in T- and K-type concrete-filled steel tube (CFST) connections. The new mechanism of load transfer investigated in this paper manifests that t... Read More about New insights into the mechanism of load transfer in steel-encased CFST connections.

Blockchain and lean construction: an exploration of bidirectional synergies and interactions (2023)
Journal Article
Kifokeris, D., & Tezel, A. (2023). Blockchain and lean construction: an exploration of bidirectional synergies and interactions. Architectural Engineering and Design Management, https://doi.org/10.1080/17452007.2023.2263873

Blockchain is a form of digital distributed ledger, referring to databases decentralized across numerous users, facilitating peer-to-peer transactions by eliminating or reducing the need for intermediaries to conduct, validate, or authenticate them.... Read More about Blockchain and lean construction: an exploration of bidirectional synergies and interactions.

Framing blockchain-integrated digital twins for emergent healthcare: a proof of concept (2023)
Journal Article
Lu, Q., Chen, L., Xie, X., Fang, Z., Ye, Z., & Pitt, M. (2023). Framing blockchain-integrated digital twins for emergent healthcare: a proof of concept. Proceedings of the ICE - Engineering Sustainability, 176(4), 228 - 243. https://doi.org/10.1680/jensu.22.00073

It has been witnessed that digital technology has the potential to improve the efficiency of emergent healthcare management of Covid-19; however, it has not been widely adopted due to unclear definition and configuration. This research aims to propose a... Read More about Framing blockchain-integrated digital twins for emergent healthcare: a proof of concept.

Integration of Blockchain and Digital Twins in the Smart Built Environment Adopting Disruptive Technologies—A Systematic Review (2023)
Journal Article
Sadri, H., Yitmen, I., Tagliabue, L. C., Westphal, F., Tezel, A., Taheri, A., & Sibenik, G. (2023). Integration of Blockchain and Digital Twins in the Smart Built Environment Adopting Disruptive Technologies—A Systematic Review. Sustainability, 15(4), Article 3713. https://doi.org/10.3390/su15043713

The integration of blockchain and digital twins (DT) for better building-lifecycle data management has recently received much attention from researchers in the field. In this respect, the adoption of enabling technologies such as artificial intellige... Read More about Integration of Blockchain and Digital Twins in the Smart Built Environment Adopting Disruptive Technologies—A Systematic Review.

Assessment of the Posttunneling Safety Factor of Piles under Drained Soil Conditions (2020)
Journal Article
Marshall, A. M., Franza, A., & Jacobsz, S. W. (2020). Assessment of the Posttunneling Safety Factor of Piles under Drained Soil Conditions. Journal of Geotechnical and Geoenvironmental Engineering, 146(9), Article 04020097. https://doi.org/10.1061/%28ASCE%29GT.1943-5606.0002348

The need to tunnel closely beneath piles is increasing due to the development of urban areas. This poses a risk to the stability and serviceability of overlying structures (e.g., buildings, piers, and piled embankments). The impact of tunneling on pi... Read More about Assessment of the Posttunneling Safety Factor of Piles under Drained Soil Conditions.