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Published work
Targeting objective 1 - Review
existing models for shrinkage and
creep at specimen level.
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Sousa, H., Chryssanthopoulos, M. (2015) Review
existing models for shrinkage and creep at
specimen level – Internal report, Guildford,
University of Surrey, United Kingdom.
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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.