Dorothy Gartner
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The information provided by Virtua Research cited herein is provided “as is” and “as available” without warranty of any kind. Use of any Virtua Research data is at a user’s own risk and Virtua Research disclaims any liability for use of the Virtua Research data. Although the information is obtained or compiled from reliable sources Virtua Research neither can nor does guarantee or make any representation or warranty, either express or implied, as to the accuracy, validity, sequence, timeliness, completeness or continued availability of any information or data, including third-party content, made available herein. In no event shall Virtua Research be liable for any decision made or action or inaction taken in reliance on any information or data, including third-party content. Virtua Research further explicitly disclaims, to the fullest extent permitted by applicable law, any warranty of any kind, whether express or implied, including warranties of merchantability, fitness for a particular purpose and non-infringement.
The consensus estimate provided by Virtua Research is based on estimates, forecasts and predictions made by third party financial analysts, as described above. It is not prepared based on information provided by AtkinsRéalis and can only be seen as a consensus view on AtkinsRéalis' possible future results from an outside perspective. AtkinsRéalis has not provided input on these forecasts, except by referring to past publicly disclosed information. AtkinsRéalis does not accept any responsibility for the quality or accuracy of any individual or average of forecasts or estimates. This web page contains forward-looking statements based on current assumptions and forecasts made by third parties. Various known and unknown risks, uncertainties and other factors could lead to material differences between AtkinsRéalis' actual future results, financial situation, development or performance, and the estimates given here.
2026 Technical Journal volume 8 issue 1
Engineering a better future for our planet and its people
This latest edition of the AtkinsRéalis Technical Journal showcases how focused innovation turns complex challenges into practical, real‑world solutions. Spanning transport, water, geotechnical engineering, nuclear engineering, and digital delivery, the papers in this issue demonstrate our commitment to safer, smarter, and more resilient infrastructure. From early‑warning monitoring of railway embankments and reduced radiation exposure in nuclear environments, to digital rail permitting, flood‑risk mapping, circular water systems, and AI‑enabled project delivery, each contribution reflects rigorous thinking applied under real constraints. Together, they offer a compelling snapshot of how technical excellence is shaping better outcomes for communities, clients, and critical infrastructure worldwide.
E-Book PDFPlease note that you are now leaving the AtkinsRéalis website (legal name: AtkinsRéalis Group inc.) and entering a website maintained by a third party (the "External Website") and that you do so at your own risk.
AtkinsRéalis has no control over the External Website, any data or other content contained therein or any additional linked websites. The link to the External Website is provided for convenience purposes only. By clicking "Accept" you acknowledge and agree that AtkinsRéalis is not responsible, and does not accept or assume any responsibility or liability whatsoever for the data protection policy, the content, the data or the technical operation of the External Website and/or any linked websites and that AtkinsRéalis is not liable for the terms and conditions (or terms of use) of the External Website. Further, you acknowledge and agree that you assume all risks resulting from entering and/or using the External Website and/or any linked websites.
BY ENTERING THE EXTERNAL WEBSITE, YOU ALSO ACKNOWLEDGE AND AGREE THAT YOU COMPLETELY AND IRREVOCABLY WAIVE ANY AND ALL RIGHTS AND CLAIMS AGAINST ATKINSRÉALIS, AND RELEASE, DISCHARGE, INDEMNIFY AND HOLD HARMLESS ATKINSRÉALIS, ITS OFFICERS, EMPLOYEES, DIRECTORS AND AGENTS FROM ANY AND ALL LIABILITY INCLUDING BUT NOT LIMITED TO LIABILITY FOR LOSS, DAMAGES, EXPENSES AND COSTS ARISING OUT OF OR IN CONNECTION WITH ENTERING AND/OR USING THE EXTERNAL WEBSITE AND/OR ANY LINKED WEBSITES AND ANY DATA AND/OR CONTENT CONTAINED THEREIN.
Such waiver and release specifically includes, without limitation, any and all rights and claims pertaining to reliance on the data or content of the External Website, or claims pertaining to the processing of personal data, including but not limited to any rights under any applicable data protection statute. You also recognize by clicking “Accept” that the terms of this disclaimer are reasonable.
The information provided by Virtua Research cited herein is provided “as is” and “as available” without warranty of any kind. Use of any Virtua Research data is at a user’s own risk and Virtua Research disclaims any liability for use of the Virtua Research data. Although the information is obtained or compiled from reliable sources Virtua Research neither can nor does guarantee or make any representation or warranty, either express or implied, as to the accuracy, validity, sequence, timeliness, completeness or continued availability of any information or data, including third-party content, made available herein. In no event shall Virtua Research be liable for any decision made or action or inaction taken in reliance on any information or data, including third-party content. Virtua Research further explicitly disclaims, to the fullest extent permitted by applicable law, any warranty of any kind, whether express or implied, including warranties of merchantability, fitness for a particular purpose and non-infringement.
The consensus estimate provided by Virtua Research is based on estimates, forecasts and predictions made by third party financial analysts, as described above. It is not prepared based on information provided by AtkinsRéalis and can only be seen as a consensus view on AtkinsRéalis' possible future results from an outside perspective. AtkinsRéalis has not provided input on these forecasts, except by referring to past publicly disclosed information. AtkinsRéalis does not accept any responsibility for the quality or accuracy of any individual or average of forecasts or estimates. This web page contains forward-looking statements based on current assumptions and forecasts made by third parties. Various known and unknown risks, uncertainties and other factors could lead to material differences between AtkinsRéalis' actual future results, financial situation, development or performance, and the estimates given here.
Obfuscation of Aggregated Spatial Data for Buried Infrastructure: A National Approach
Introduces a secure, hexagon-based mapping system that enables sharing of underground infrastructure data without exposing sensitive details. The approach improves planning, reduces risk, and supports coordinated development by giving utilities and authorities actionable insights while protecting critical assets.
Neil Brammall, Colin Henderson, Christopher Carlon, Holger Kessler, Carsten Roensdorf
Innovative Flood Hazard Classification for Resilient Urban Development
Presents an innovative approach that combines water depth and velocity to rank flood severity and predict flood danger in desert regions, developed for NEOM, Saudi Arabia. This study enables smarter planning decisions to reduce risk in rapidly growing flood-prone environments.
Dr. Khaled Pordel, Dr. Ken Hunu
Explores a practical framework for applying circular economy principles in urban water systems. Introducing the Water Circularity Indicator, the article helps utilities benchmark performance, prioritize investments, and reduce reliance on finite resources while enhancing resilience and sustainability.
Nikita Kakwani, Pradip P. Kalbar
Railway Embankment Failure Trends and Monitoring – Lessons Learned from the Anglia Route
Examines risks facing aging railway embankments under climate pressures and outlines best-practice monitoring strategies. By improving data-driven insights into slope behavior, asset owners can proactively manage failures, prioritize interventions, and enhance safety and reliability across critical transport networks.
Simon J. Holt, Isaac W. Griffiths, Stuart Fielder, Jonathan Garelick, Chris Milne, Rory O’Rourke, Freddie Savill, Ian Payne
Making Bubbles: Using Sparging to Remove Radioactive Gases from Reactor Coolant Samples
Showcases an innovative gas-capture system that reduces radiation exposure in nuclear operations. Using proven sparging techniques, the solution improves safety for workers and operations while demonstrating how fundamental science can deliver practical, high-impact engineering solutions.
David Pitt, Jackson Mountford
3D Analysis and Visualisation of Reinforced Concrete Design Data
Highlights a digital approach that converts complex analysis results and reinforcement demand into interactive 3D models. This innovation enhances collaboration, improves design clarity, and streamlines delivery in nuclear infrastructure projects by making critical data readily accessible to all stakeholders.
Will Jarvis, Fenella Ross, Steven Betts, Dave Cotton
Leveraging AI to Enhance Project Management Tasks
Explores how aligning artificial intelligence with project management frameworks can automate routine tasks and improve decision-making. The approach increases efficiency, consistency, and transparency, helping teams deliver projects more effectively in complex and fast-paced environments.
Ross David Ronald Cumming, Lewis David Hayward
Examines the need for transitioning from paper-based to digital rail work permits, outlining benefits in safety, efficiency, and operational oversight. The article provides a roadmap for implementation, helping organizations reduce delays, lower costs, and improve coordination in safety-critical rail operations.
Maria Leo Prince Maria Singaraj
Previous journals
| Title | E-Book | |
|---|---|---|
| 2025 – Technical Journal volume 7 issue 2 | Open | Open |
| 2025 – Technical Journal volume 7 issue 1 | Open | Open |
| 2024 – Technical Journal volume 6 issue 2 | Open | Open |
| 2024 – Technical Journal volume 6 issue 1 | Open | Open |
| 2023 – Technical Journal volume 5 issue 2 | Open | Open |
| 2023 – Technical Journal volume 5 issue 1 | Open | Open |
| 2022 – Technical Journal Volume 4 Issue 2 | Open | Open |
| 2022 – Technical Journal Volume 4 Issue 1 | Open | Open |
| 2021 – Technical Journal Volume 3 Issue 2 | Open | Open |
| 2021 – Technical Journal Volume 3 Issue 1 | Open | Open |
| 2020 – Technical Journal Volume 2 Issue 2 | Open | Open |
| 2020 – Technical Journal Volume 2 Issue 1 | Open | Open |
| 2019 – Technical Journal Volume 1 Issue 2 | Open | Open |
| 2019 – Technical Journal Volume 1 Issue 1 | Open | Open |
| Atkins Technical Journal 10 | Open | Open |
| Atkins Technical Journal 9 | Open | Open |
| Atkins Technical Journal 8 | Open | Open |
| Atkins Technical Journal 7 | Open | Open |
| Atkins Technical Journal 6 | Open | Open |
| Atkins Technical Journal 5 | Open | Open |
| Atkins Technical Journal 4 | Open | Open |
| Atkins Technical Journal 3 | Open | Open |
| Atkins Technical Journal 2 | Open | Open |
| Atkins Technical Journal 1 | Open |
Please note that you are now leaving the AtkinsRéalis website (legal name: AtkinsRéalis Group inc.) and entering a website maintained by a third party (the "External Website") and that you do so at your own risk.
AtkinsRéalis has no control over the External Website, any data or other content contained therein or any additional linked websites. The link to the External Website is provided for convenience purposes only. By clicking "Accept" you acknowledge and agree that AtkinsRéalis is not responsible, and does not accept or assume any responsibility or liability whatsoever for the data protection policy, the content, the data or the technical operation of the External Website and/or any linked websites and that AtkinsRéalis is not liable for the terms and conditions (or terms of use) of the External Website. Further, you acknowledge and agree that you assume all risks resulting from entering and/or using the External Website and/or any linked websites.
BY ENTERING THE EXTERNAL WEBSITE, YOU ALSO ACKNOWLEDGE AND AGREE THAT YOU COMPLETELY AND IRREVOCABLY WAIVE ANY AND ALL RIGHTS AND CLAIMS AGAINST ATKINSRÉALIS, AND RELEASE, DISCHARGE, INDEMNIFY AND HOLD HARMLESS ATKINSRÉALIS, ITS OFFICERS, EMPLOYEES, DIRECTORS AND AGENTS FROM ANY AND ALL LIABILITY INCLUDING BUT NOT LIMITED TO LIABILITY FOR LOSS, DAMAGES, EXPENSES AND COSTS ARISING OUT OF OR IN CONNECTION WITH ENTERING AND/OR USING THE EXTERNAL WEBSITE AND/OR ANY LINKED WEBSITES AND ANY DATA AND/OR CONTENT CONTAINED THEREIN.
Such waiver and release specifically includes, without limitation, any and all rights and claims pertaining to reliance on the data or content of the External Website, or claims pertaining to the processing of personal data, including but not limited to any rights under any applicable data protection statute. You also recognize by clicking “Accept” that the terms of this disclaimer are reasonable.
The information provided by Virtua Research cited herein is provided “as is” and “as available” without warranty of any kind. Use of any Virtua Research data is at a user’s own risk and Virtua Research disclaims any liability for use of the Virtua Research data. Although the information is obtained or compiled from reliable sources Virtua Research neither can nor does guarantee or make any representation or warranty, either express or implied, as to the accuracy, validity, sequence, timeliness, completeness or continued availability of any information or data, including third-party content, made available herein. In no event shall Virtua Research be liable for any decision made or action or inaction taken in reliance on any information or data, including third-party content. Virtua Research further explicitly disclaims, to the fullest extent permitted by applicable law, any warranty of any kind, whether express or implied, including warranties of merchantability, fitness for a particular purpose and non-infringement.
The consensus estimate provided by Virtua Research is based on estimates, forecasts and predictions made by third party financial analysts, as described above. It is not prepared based on information provided by AtkinsRéalis and can only be seen as a consensus view on AtkinsRéalis' possible future results from an outside perspective. AtkinsRéalis has not provided input on these forecasts, except by referring to past publicly disclosed information. AtkinsRéalis does not accept any responsibility for the quality or accuracy of any individual or average of forecasts or estimates. This web page contains forward-looking statements based on current assumptions and forecasts made by third parties. Various known and unknown risks, uncertainties and other factors could lead to material differences between AtkinsRéalis' actual future results, financial situation, development or performance, and the estimates given here.