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Reliability assessment of shallow foundations on undrained soils considering soil spatial variability (2019)
Journal Article
Simões, J., Neves, L. C., Antão, A. N., & Guerra, N. M. (2020). Reliability assessment of shallow foundations on undrained soils considering soil spatial variability. Computers and Geotechnics, 119, https://doi.org/10.1016/j.compgeo.2019.103369

Structural design using partial safety factors aims at achieving an homogeneous safety level in geotechnical design without the use of more complex reliability analysis. In this work, the different Design Approaches proposed by Eurocode 7 for shallow... Read More about Reliability assessment of shallow foundations on undrained soils considering soil spatial variability.

Partial safety factors for prestressed concrete girders strengthened with CFRP laminates (2019)
Journal Article
Dias-da-Costa, D., Neves, L. A. C., Gomes, S., Graça-e-Costa, R., Hadigheh, S. A., & Fernandes, P. (2020). Partial safety factors for prestressed concrete girders strengthened with CFRP laminates. Journal of Composites for Construction, 24(1), https://doi.org/10.1061...%29CC.1943-5614.0000993

This paper provides a framework for the calibration of partial safety factors in prestressed concrete (PC) girders strengthened in flexure with carbon fibre-reinforced polymer (CFRP) laminates. A hybrid approach was proposed to take advantage of comp... Read More about Partial safety factors for prestressed concrete girders strengthened with CFRP laminates.

Fragility Assessment of Pre-Northridge Steel Moment Frames using Finite-Length Plastic Hinge Elements and Concentrated Plasticity Fracture Elements (2019)
Journal Article
Ribeiro, F. L., Barbosa, A. R., & Neves, L. C. (2019). Fragility Assessment of Pre-Northridge Steel Moment Frames using Finite-Length Plastic Hinge Elements and Concentrated Plasticity Fracture Elements. Computer Modeling in Engineering & Sciences, 120(3), 657-676. https://doi.org/10.32604/cmes.2019.06296

Although pre-Northridge earthquake steel moment resisting frame buildings have been shown to be susceptible to brittle connection failures, they still represent a large fraction of the existing steel buildings in the United States o... Read More about Fragility Assessment of Pre-Northridge Steel Moment Frames using Finite-Length Plastic Hinge Elements and Concentrated Plasticity Fracture Elements.

Stochastic maintenance models for ceramic claddings (2019)
Journal Article
Ferreira, C., Neves, L. C., Silva, A., & de Brito, J. (2020). Stochastic maintenance models for ceramic claddings. Structure and Infrastructure Engineering, 62(2), 247-265. https://doi.org/10.1080/15732479.2019.1652657

Maintenance decision-making involves a series of multiple objectives, some of them contradictory. Usually, stakeholders intend to find the optimal maintenance strategy, to minimize the economic burden, while simultaneously maximizing the buildings’ p... Read More about Stochastic maintenance models for ceramic claddings.

Resilience indicators for road networks: the role of robustness and rapidity (2019)
Conference Proceeding
Sohouenou, P. Y., Neves, L. A., & Presti, D. L. (2019). Resilience indicators for road networks: the role of robustness and rapidity

With the increased complexity of urban systems, the need to protect the services of smart cities from disruptions by increasing their resilience to adverse events is more critical than ever before. The present paper aims at clarifying the meaning of... Read More about Resilience indicators for road networks: the role of robustness and rapidity.

Time-dependent reliability analyses of prestressed concrete girders strengthened with CFRP laminates (2019)
Journal Article
Fernandes, P., Dias-da-Costa, D., Hadigheh, S., Neves, L., & Gomes, S. (2019). Time-dependent reliability analyses of prestressed concrete girders strengthened with CFRP laminates. Engineering Structures, 196, 109297. https://doi.org/10.1016/j.engstruct.2019.109297

This paper presents a time-dependent reliability analysis of prestressed concrete girders subjected to degradation caused by pitting corrosion. The procedure presented includes the effects of both spatial and temporal pitting corrosions on prestressi... Read More about Time-dependent reliability analyses of prestressed concrete girders strengthened with CFRP laminates.

Probabilistic prediction of asphalt pavement performance (2019)
Journal Article
Abed, A., Thom, N., & Neves, L. (2019). Probabilistic prediction of asphalt pavement performance. Road Materials and Pavement Design, 20( Sup 1), S247-S264 . https://doi.org/10.1080/14680629.2019.1593229

Variability of pavement design parameters has always been a concern to pavement designers and highway agencies. A robust pavement design should take into account the variability of the design inputs and its impact on the reliability of the design. In... Read More about Probabilistic prediction of asphalt pavement performance.

Probabilistic-based assessment of existing steel-concrete composite bridges : application to Sousa River Bridge (2018)
Journal Article
Matos, J. C., Moreira, V. N., Valente, I. B., Cruz, P. J., Neves, L. C., & Galvão, N. (2019). Probabilistic-based assessment of existing steel-concrete composite bridges : application to Sousa River Bridge. Engineering Structures, 181, 95-110. doi:10.1016/j.engstruct.2018.12.006

This paper presents a framework to assess the safety of existing structures, combining deterministic model identification and reliability assessment techniques, considering both load-test and complementary laboratory test results. Firstly, the propos... Read More about Probabilistic-based assessment of existing steel-concrete composite bridges : application to Sousa River Bridge.

Verification of the HDM-4 fuel consumption model using a Big data approach: a UK case study (2018)
Journal Article
Perrotta, F., Parry, T., Neves, L. C., Buckland, T., Benbow, E., & Mesgarpour, M. (2019). Verification of the HDM-4 fuel consumption model using a Big data approach: a UK case study. Transportation Research Part D: Transport and Environment, 67, 109-118. doi:10.1016/j.trd.2018.11.001

This paper presents an assessment of the accuracy of the HDM-4 fuel consumption model calibrated for the United Kingdom and evaluates the need for further calibration of the model. The study focuses on HGVs and compares estimates made by HDM-4 to mea... Read More about Verification of the HDM-4 fuel consumption model using a Big data approach: a UK case study.

Mechanical performance of eco-efficient hollow clay bricks incorporating industrial nano-crystalline aluminium sludge (2018)
Journal Article
Neves, L., Cavaco, E., Cavaco, E. S., Grilo, I., Paulo Gouveia, J., Júlio, E., & Neves, L. C. (2018). Mechanical performance of eco-efficient hollow clay bricks incorporating industrial nano-crystalline aluminium sludge. European Journal of Environmental and Civil Engineering, 1-18. https://doi.org/10.1080/19648189.2018.1492974

In this paper, mechanical properties of a new structural and eco-efficient hollow clay bricks are investigated. The principal goal was to recycle residual sludge from aluminium anodizing industries by incorporating it in the raw material of bricks, t... Read More about Mechanical performance of eco-efficient hollow clay bricks incorporating industrial nano-crystalline aluminium sludge.

Effect of non-structural masonry brick infill walls on the robustness of a RC (2018)
Journal Article
Barros, M., Cavaco, E., Neves, L., & Julio, E. (2019). Effect of non-structural masonry brick infill walls on the robustness of a RC. Engineering Structures, 180, 274-283. doi:10.1016/j.engstruct.2018.11.027

Western countries are increasingly demanding for robust structures, i.e., structures capable of withstanding local damage caused by unforeseen extreme events without triggering a progressive collapse, thus reducing the magnitude and proportion of the... Read More about Effect of non-structural masonry brick infill walls on the robustness of a RC.

Comparison of truck fuel consumption measurements with results of existing models and implications for road pavement LCA (2018)
Conference Proceeding
Perrotta, F., Parry, T., Neves, L. C., Buckland, T., Benbow, E., & Viner, H. (2018). Comparison of truck fuel consumption measurements with results of existing models and implications for road pavement LCA

Life Cycle Assessment (LCA) is increasingly used to evaluate the impact of all lifecycle phases of road pavements on the environment. From the late ‘90s, this technique has continuously evolved and improved, however, there are still limitations and u... Read More about Comparison of truck fuel consumption measurements with results of existing models and implications for road pavement LCA.

A machine learning approach for the estimation of fuel consumption related to road pavement rolling resistance for large fleets of trucks (2018)
Conference Proceeding
Perrotta, F., Parry, T., Neves, L. C., & Mesgarpour, M. (2018). A machine learning approach for the estimation of fuel consumption related to road pavement rolling resistance for large fleets of trucks

There remains a level of uncertainty concerning the methodological assumptions and parameters to consider in the estimation of road vehicle fuel consumption due to the condition of road pavements. In fact, recent studies highlighted how existing mode... Read More about A machine learning approach for the estimation of fuel consumption related to road pavement rolling resistance for large fleets of trucks.

Quantifying the impact of variability in railway bridge asset management (2018)
Conference Proceeding
Yianni, P. C., Neves, L. C., Rama, D., Andrews, J. D., Tedstone, N., & Dean, R. (2018). Quantifying the impact of variability in railway bridge asset management

Bridge asset management is often a challenging and complicated task due to the diversity, multitude and variation of bridge configurations. Much research has been carried out in the field of asset management which has resulted in a wealth of models t... Read More about Quantifying the impact of variability in railway bridge asset management.

A big data approach for investigating the performance of road infrastructure (2018)
Conference Proceeding
Perrotta, F., Parry, T., Neves, L. C., Mesgarpour, M., Benbow, E., & Viner, H. (2018). A big data approach for investigating the performance of road infrastructure. In n/a

“Using truck sensors for road pavement performance investigation” is a research project within TRUSS, an innovative training network funded from the EU under the Horizon 2020 programme. The project aims at assessing the impact of the condition of the... Read More about A big data approach for investigating the performance of road infrastructure.

Numerical modelling of CLT diaphragms tested on a shake-table experiment (2018)
Conference Proceeding
Barbosa, A. R., Rodrigues, L., Sinha, A., Higgins, C., Zimmerman, R. B., Breneman, S., …Neves, L. C. (2018). Numerical modelling of CLT diaphragms tested on a shake-table experiment

Current standards and existing literature provide very limited information regarding the design of cross-laminated timber (CLT) floor diaphragms. In addition, limited procedures exist to develop analytical models to estimate the deformation response... Read More about Numerical modelling of CLT diaphragms tested on a shake-table experiment.

Stochastic petri-net models to predict the degradation of ceramic claddings (2018)
Journal Article
Ferreira, C., Canhoto Neves, L., Silva, A., & de Brito, J. (2018). Stochastic petri-net models to predict the degradation of ceramic claddings. Building Research and Information, doi:10.1080/09613218.2018.1501873. ISSN 0961-3218

A stochastic Petri-net formalism is proposed to predict the degradation of ceramic claddings over time in order to understand how different environmental exposure conditions contribute to the overall degradation of these claddings. For that purpose,... Read More about Stochastic petri-net models to predict the degradation of ceramic claddings.

Uncertainty quantification for random fields estimated from effective moduli of elasticity (2018)
Conference Proceeding
Pierce-Brown, J., Neves, L. C., & Brown, D. L. (2018). Uncertainty quantification for random fields estimated from effective moduli of elasticity. In Proceedings of the 8th International Workshop on Reliable Computing "Computing with Confidence", 16-18 July 2018, University of Liverpool, Liverpool, UK, 51-62

The stochastic finite element method is a useful tool to calculate the response of systems subject to uncertain parameters and has been applied extensively to analyse structures composed of randomly heterogeneous materials. The methodology to estimat... Read More about Uncertainty quantification for random fields estimated from effective moduli of elasticity.

Using Petri-Net modelling for a data-driven approach to bridge management and safety (2018)
Conference Proceeding
Yianni, P. C., Neves, L. C., Rama, D., Andrews, J., & Dean, R. (2018). Using Petri-Net modelling for a data-driven approach to bridge management and safety

Bridge portfolio managers have a difficult task managing a large, varied portfolio of aging assets in a squeezed financial climate and on networks with increasing usage. Therefore, decision support tools are becoming more and more integral in managin... Read More about Using Petri-Net modelling for a data-driven approach to bridge management and safety.

Behavior of reinforced concrete frame with masonry infill wall subjected to vertical load (2018)
Journal Article
Baghi, H., Oliveira, A., Valença, J., Cavaco, E., Neves, L., & Júlio, E. (2018). Behavior of reinforced concrete frame with masonry infill wall subjected to vertical load. Engineering Structures, 171, 476-487. doi:10.1016/j.engstruct.2018.06.001

The effectiveness of masonry infill wall on behavior of a Reinforced Concrete (RC) frame subjected to a column failure is studied experimentally. For this reason, one full scale RC frame designed according to Eurocode is statically tested to investig... Read More about Behavior of reinforced concrete frame with masonry infill wall subjected to vertical load.