© LostPreCon.eu

Published work

Targeting objective 1 (Work Package 1)

Sousa, H., Chryssanthopoulos, M. (2015) Review existing models for shrinkage and creep at specimen level – Internal report, Guildford, University of Surrey, United Kingdom. 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. 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.

Targeting objective 2 (Work Package 2)

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.

Targeting objective 3 (Work Package 3)

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. (2017). Sparse representation approach to data compression for strain-based traffic load monitoring: A comparative study. Measurement - accepted for publication, in press.

Targeting objective 4 and 5 (Work Package 4 and 5)

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

This section is in

continuous updating

Here you may find work that has been already published and made available in the public domain mainly: Reports Conference papers Journal papers Others 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 (Work Package

1)

Sousa, H., Chryssanthopoulos, M. (2015) Review existing models for shrinkage and creep at specimen level – Internal report, Guildford, University of Surrey, United Kingdom. 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. 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.

Targeting objective 2 (Work Package

2)

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.

Targeting objective 3 (Work Package

3)

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. (2017). Sparse representation approach to data compression for strain-based traffic load monitoring: A comparative study. Measurement - accepted for publication, in press.

Targeting objective 4 and 5 (Work

Package 4 and 5)

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

This section is in continuous

updating

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