© LostPreCon.eu

Published work

Targeting objective 1 - Review existing models for shrinkage and

creep at specimen level.

Sousa, H., Chryssanthopoulos, M. (2015) Review existing models for shrinkage and creep at specimen level – Internal report, Guildford, University of Surrey, United Kingdom. Sousa, H., Santos, L., Chryssanthopoulos, M. (2015) Appraising creep and shrinkage model predictions, International RILEM Conference on Materials, Systems and Structures in Civil Engineering - Conference segment on Reliability, 22nd-24th August 2016, Technical University of Denmark, Lyngby, Denmark. Clarke, P. (2017) Modelling the Effects of Mineral Admixtures on the Rate of Creep and Shrinkage of Concrete, Individual Project, Faculty of Engineering and Physical Sciences / Civil & Environmental Engineering, University of Surrey, UK.

Targeting objective 2 - Establish robust hybrid FE models for

medium/long-term performance predictions

Peters, A. (2016) The long-term deflection of long span bridges due to shrinkage and creep effects Individual Project, Faculty of Engineering and Physical Sciences / Civil & Environmental Engineering, University of Surrey, UK. Cheung, C. (2018) Analysis on the long-term performance of pre-stressed segmental bridges under different environmental conditions – a comparative study. Individual project. Faculty of Eng. & Phys. Sciences, Civil & Environ. Eng., University of Surrey, UK. Canestro, E. (2018) Finite Element modelling of prestressed concrete bridges – an exploratory cost-based analysis. Individual project. Faculty of Eng. & Phys. Sciences, Civil & Environ. Eng., University of Surrey, UK. Sellin, J. P., H. Sousa, J. F. Barthélémy and J. M. Torrenti (2019). Novel semi-analytical model to calculate shear forces due to viscoelastic interactions. Engineering Structures 183: 999- 1013. https://doi.org/10.1016/j.engstruct.2018.12.015 Sousa, H. (2020). Advanced FE modeling supported by monitoring toward management of large civil infrastructures: The case study of Lezíria Bridge. Structural Concrete, 21(4), 1309-1320. https://doi.org/10.1002/suco.201900382 H., Mitoulis, S., Psarras, K., Tegos, I. A. (2020). Control of long-term deflections of RC beams using reinforcements and low-shrinkage concrete. Proceedings of the Institution of Civil Engineers - Bridge Engineering 173(2): 63-77. https://doi.org/10.1680/jbren.19.00038 Canestro, E., Strauss, A., & Sousa, H. (2021). Multiscale modelling of the long-term performance of prestressed concrete structures – Case studies on T-Girder beams. Engineering Structures, 231, 111761. https://doi.org/10.1016/j.engstruct.2020.111761

Targeting objective 3 - Develop a novel monitoring approach

based on Digital Image Correlation

Sousa, H., Santos, L. (2016). Long-term performance of prestressed concrete bridges. European Workshop on Structural Health Monitoring – European Workshop on Structural Health Monitoring 2016. Bilbao, Spain. Sousa, H., Wang, Y. (2018) Sparse representation approach to data compression for strain- based traffic load monitoring: A comparative study. Measurement, 122:630-637. Quartile Q1, JCR2016. https://doi.org/10.1016/j.measurement.2017.10.042 Ivanković, A., H., Strauss, A., Sousa, H. (2020) European review of performance indicators towards sustainable road bridge management. Proceedings of the Institution of Civil Engineers - Engineering Sustainability 173(3): 109-124. https://doi.org/10.1680/jensu.18.00052

Targeting objective 4 and 5 - Time-dependent reliability

assessment produce representative performance-time profiles

Bismut, E. Schneider, R., Sousa, H., Straub, D. (2017) Framework and Categorization for Value of Information Analysis - Factsheet, 9th Workshop COST TU1402 - Quantifying the Value of Structural Health Monitoring, 29th – 30th May 2017, Dublin, Ireland. Sousa, H., Santos, L., Chryssanthopoulos, M. (2017) A Bayesian approach to the use of in- situ specimen data for predicting creep compliance. ICOSSAR - 12th International Conference on Structural Safety and Reliability. Technische Universit at Wien, Vienna, Austria. Sousa H, Santos LO, Chryssanthopoulos M (2019) Quantifying monitoring requirements for predicting creep deformations through Bayesian updating methods. Structural Safety 76:40-50. doi:https://doi.org/10.1016/j.strusafe.2018.06.002

Continuously

updated!

Here you may find work that has been already published and made available in the public domain mainly: Reports Conference papers Journal papers Please, keep an eye on this since as soon as more work is accepted for publication, I will put them here as well.
© LostPreCon.eu

Published work

Targeting objective 1 - Review

existing models for shrinkage and

creep at specimen level.

Sousa, H., Chryssanthopoulos, M. (2015) Review existing models for shrinkage and creep at specimen level – Internal report, Guildford, University of Surrey, United Kingdom. Sousa, H., Santos, L., Chryssanthopoulos, M. (2015) Appraising creep and shrinkage model predictions, International RILEM Conference on Materials, Systems and Structures in Civil Engineering - Conference segment on Reliability, 22nd-24th August 2016, Technical University of Denmark, Lyngby, Denmark. Clarke, P. (2017) Modelling the Effects of Mineral Admixtures on the Rate of Creep and Shrinkage of Concrete, Individual Project, Faculty of Engineering and Physical Sciences / Civil & Environmental Engineering, University of Surrey, UK.

Targeting objective 2 - Establish

robust hybrid FE models for

medium/long-term performance

predictions

Peters, A. (2016) The long-term deflection of long span bridges due to shrinkage and creep effects Individual Project, Faculty of Engineering and Physical Sciences / Civil & Environmental Engineering, University of Surrey, UK. Cheung, C. (2018) Analysis on the long-term performance of pre-stressed segmental bridges under different environmental conditions – a comparative study. Individual project. Faculty of Eng. & Phys. Sciences, Civil & Environ. Eng., University of Surrey, UK. Canestro, E. (2018) Finite Element modelling of prestressed concrete bridges – an exploratory cost-based analysis. Individual project. Faculty of Eng. & Phys. Sciences, Civil & Environ. Eng., University of Surrey, UK. Sellin, J. P., H. Sousa, J. F. Barthélémy and J. M. Torrenti (2019). Novel semi-analytical model to calculate shear forces due to viscoelastic interactions. Engineering Structures 183: 999- 1013. https://doi.org/10.1016/j.engstruct.2018.12.015 Sousa, H. (2020). Advanced FE modeling supported by monitoring toward management of large civil infrastructures: The case study of Lezíria Bridge. Structural Concrete, 21(4), 1309- 1320. https://doi.org/10.1002/suco.201900382 H., Mitoulis, S., Psarras, K., Tegos, I. A. (2020). Control of long-term deflections of RC beams using reinforcements and low-shrinkage concrete. Proceedings of the Institution of Civil Engineers - Bridge Engineering 173(2): 63-77. https://doi.org/10.1680/jbren.19.00038 Canestro, E., Strauss, A., & Sousa, H. (2021). Multiscale modelling of the long-term performance of prestressed concrete structures – Case studies on T-Girder beams. Engineering Structures, 231, 111761. https://doi.org/10.1016/j.engstruct.2020.111761

Targeting objective 3 - Develop a

novel monitoring approach based on

Digital Image Correlation

Sousa, H., Santos, L. (2016). Long-term performance of prestressed concrete bridges. European Workshop on Structural Health Monitoring – European Workshop on Structural Health Monitoring 2016. Bilbao, Spain. Sousa, H., Wang, Y. (2018) Sparse representation approach to data compression for strain-based traffic load monitoring: A comparative study. Measurement, 122:630-637. Quartile Q1, JCR2016. https://doi.org/10.1016/j.measurement.2017.10 .042 Ivanković, A., H., Strauss, A., Sousa, H. (2020) European review of performance indicators towards sustainable road bridge management. Proceedings of the Institution of Civil Engineers - Engineering Sustainability 173(3): 109-124. https://doi.org/10.1680/jensu.18.00052

Targeting objective 4 and 5 - Time-

dependent reliability assessment

produce representative

performance-time profiles

Bismut, E. Schneider, R., Sousa, H., Straub, D. (2017) Framework and Categorization for Value of Information Analysis - Factsheet, 9th Workshop COST TU1402 - Quantifying the Value of Structural Health Monitoring, 29th – 30th May 2017, Dublin, Ireland. Sousa, H., Santos, L., Chryssanthopoulos, M. (2017) A Bayesian approach to the use of in-situ specimen data for predicting creep compliance. ICOSSAR - 12th International Conference on Structural Safety and Reliability. Technische Universit at Wien, Vienna, Austria. Sousa H, Santos LO, Chryssanthopoulos M (2019) Quantifying monitoring requirements for predicting creep deformations through Bayesian updating methods. Structural Safety 76:40-50. doi:https://doi.org/10.1016/j.strusafe.2018.06.0 02

Continuously updated!

Here you may find work that has been already published and made available in the public domain mainly: Reports Conference papers Journal papers Please, keep an eye on this since as soon as more work is accepted for publication, I will put them here as well.