All Outputs (42)

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. https://doi.org/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.

Probabilistic model for the representation of the reservoir water level of concrete dams during normal operation periods (2018)
Journal Article
Pereira, R., Batista, A. L., & Neves, L. C. (in press). Probabilistic model for the representation of the reservoir water level of concrete dams during normal operation periods. Water Resources Management, https://doi.org/10.1007/s11269-018-1973-x

The dam’s reservoir water level varies over the year according to the water inflow and outflow, as a function of environmental events but also of dam exploitation management policy and human decisions. In the Portuguese dam safety regulation (RSB 200... Read More about Probabilistic model for the representation of the reservoir water level of concrete dams during normal operation periods.

Probabilistic-based characterisation of the mechanical properties of CFRP laminates (2018)
Journal Article
Gomes, S., Dias-da-Costa, D., Neves, L., Hadigheh, S., Fernandes, P., & Júlio, E. (2018). Probabilistic-based characterisation of the mechanical properties of CFRP laminates. Construction and Building Materials, 169, https://doi.org/10.1016/j.conbuildmat.2018.02.190

Fibre reinforced polymer (FRP) composites have been increasingly used worldwide in the strengthening of civil engineering structures. As FRP becomes more common in structural strengthening, the development of probability-based limit state design code... Read More about Probabilistic-based characterisation of the mechanical properties of CFRP laminates.

Reliability-based design of interventions in deteriorated timber structures (2018)
Journal Article
Sousa, H. S., & Neves, L. C. (in press). Reliability-based design of interventions in deteriorated timber structures. International Journal of Architectural Heritage, 12(4), https://doi.org/10.1080/15583058.2018.1436205

When accommodating new uses or mitigating the consequences of deterioration, the strength increase of existing structures is significantly more onerous than a similar increase at the design stage of new structures. The safety methods prescribed in cu... Read More about Reliability-based design of interventions in deteriorated timber structures.

Stochastic petri net-based modeling of the durability of renderings (2017)
Journal Article
Ferreira, C., Canhoto Neves, L., Silva, A., & Brito, J. D. (2018). Stochastic petri net-based modeling of the durability of renderings. Automation in Construction, 87, 96-105. https://doi.org/10.1016/j.autcon.2017.12.007

In this study, a methodology to model and predict the life-cycle performance of building façades based on Stochastic Petri Nets is proposed. The proposed model evaluates the performance of rendered façades over time, evaluating the uncertainty of the... Read More about Stochastic petri net-based modeling of the durability of renderings.

Designing NSM FRP systems in concrete using partial safety factors (2017)
Journal Article
Coelho, M., Neves, L. C., & Sena-Cruz, J. (2018). Designing NSM FRP systems in concrete using partial safety factors. Composites Part B: Engineering, 139, https://doi.org/10.1016/j.compositesb.2017.11.031

This paper presents design procedures for fibre reinforced polymer (FRP) systems inserted in the cover of concrete elements according to the near-surface mounted (NSM) technique. Such strengthening system depends greatly on their bond strength. Two e... Read More about Designing NSM FRP systems in concrete using partial safety factors.

Seismic assessment of a heavy-timber frame structure with ring-doweled moment-resisting connections (2017)
Journal Article
Rodrigues, L. G., Branco, J. M., Neves, L. C., & Barbosa, A. R. (in press). Seismic assessment of a heavy-timber frame structure with ring-doweled moment-resisting connections. Bulletin of Earthquake Engineering, https://doi.org/10.1007/s10518-017-0247-y

The performance of heavy-timber structures in earthquakes depends strongly on the inelastic behavior of the mechanical connections. Nevertheless, the nonlinear behavior of timber structures is only considered in the design phase indirectly through th... Read More about Seismic assessment of a heavy-timber frame structure with ring-doweled moment-resisting connections.

Implementation and Calibration of Finite-Length Plastic Hinge Elements for Use in Seismic Structural Collapse Analysis (2017)
Journal Article
Ribeiro, F. L., Neves, L. A. C., & Barbosa, A. R. (2017). Implementation and Calibration of Finite-Length Plastic Hinge Elements for Use in Seismic Structural Collapse Analysis. Journal of Earthquake Engineering, 21(8), 1197-1219. https://doi.org/10.1080/13632469.2015.1036327

Copyright © Taylor & Francis Group, LLC. Finite-length plastic hinge (FLPH) models have shown advantages over the concentrated plasticity hinge (CPH) models. However, empirical phenomenological relationships, such as Modified Ibarra–Medina–Krawinkl... Read More about Implementation and Calibration of Finite-Length Plastic Hinge Elements for Use in Seismic Structural Collapse Analysis.

On the robustness to corrosion in the life cycle assessment of an existing reinforced concrete bridge (2017)
Journal Article
Cavaco, E. S., Neves, L. C., & Casas, J. R. (2017). On the robustness to corrosion in the life cycle assessment of an existing reinforced concrete bridge. Structure and Infrastructure Engineering, 14(2), 137-150. https://doi.org/10.1080/15732479.2017.1333128

Management of existing structures has traditionally been based on condition assessment, based on visual inspections, disregarding the susceptibility of different structural types to aging and deterioration. Robustness, as a measure of the effects of... Read More about On the robustness to corrosion in the life cycle assessment of an existing reinforced concrete bridge.

Reliability-based approach to the robustness of corroded reinforced concrete structures (2017)
Journal Article
Cavaco, E. S., Neves, L. A., & Casas, J. R. (2017). Reliability-based approach to the robustness of corroded reinforced concrete structures. Structural Concrete, 18(2), 316-325. https://doi.org/10.1002/suco.201600084

Currently, decisions on the maintenance and repair of infrastructural assets, structures in particular, are mostly based on the results of inspections and the resulting condition index, neglecting system robustness and therefore not making optimal us... Read More about Reliability-based approach to the robustness of corroded reinforced concrete structures.

Incorporating local environmental factors into railway bridge asset management (2016)
Journal Article
Yianni, P. C., Neves, L. C., Rama, D., Andrews, J. D., & Dean, R. (2016). Incorporating local environmental factors into railway bridge asset management. Engineering Structures, 128, 362-373. https://doi.org/10.1016/j.engstruct.2016.09.038

© 2016 Elsevier Ltd A novel approach to comparing bridge deterioration rates under different environmental conditions is employed using a network analysis approach. This approach uses a matrix condition scoring system utilised by Network Rail (NR). I... Read More about Incorporating local environmental factors into railway bridge asset management.

Using data mining algorithms to predict the bond strength of NSM FRP systems in concrete (2016)
Journal Article
Coelho, M. R., Sena-Cruz, J. M., Neves, L. A., Pereira, M., Cortez, P., & Miranda, T. (2016). Using data mining algorithms to predict the bond strength of NSM FRP systems in concrete. Construction and Building Materials, 126, https://doi.org/10.1016/j.conbuildmat.2016.09.048

This paper presents the effectiveness of soft computing algorithms in analyzing the bond behavior of fiber reinforced polymer (FRP) systems inserted in the cover of concrete elements, commonly known as the near-surface mounted (NSM) technique. It foc... Read More about Using data mining algorithms to predict the bond strength of NSM FRP systems in concrete.

Fracture-based interface model for NSM FRP systems in concrete (2016)
Journal Article
Coelho, M., Caggiano, A., Sena-Cruz, J., & Neves, L. C. (2016). Fracture-based interface model for NSM FRP systems in concrete. Composite Structures, 152, https://doi.org/10.1016/j.compstruct.2016.06.021

This paper introduces a numerical simulation tool using the Finite Element Method (FEM) for near-surface mounted (NSM) strengthening technique using fibre reinforced polymers (FRP) applied to concrete elements. In order to properly simulate the st... Read More about Fracture-based interface model for NSM FRP systems in concrete.

Influence of earthquake ground-motion duration on damage estimation - application to steel moment resisting frames (2016)
Journal Article
Barbosa, A. R., Ribeiro, F. L. A., & Neves, L. A. C. (in press). Influence of earthquake ground-motion duration on damage estimation - application to steel moment resisting frames. Earthquake Engineering and Structural Dynamics, https://doi.org/10.1002/eqe.2769

This paper presents an analytical study evaluating the influence of ground motion duration on structural damage of 3-story, 9-story, and 20-story SAC steel moment resisting frame buildings designed for downtown Seattle, WA, USA, using pre-Northridge... Read More about Influence of earthquake ground-motion duration on damage estimation - application to steel moment resisting frames.

An innovative framework for probabilistic-based structural assessment with an application to existing reinforced concrete structures (2016)
Journal Article
Matos, J. C., Cruz, P. J., Valente, I. B., Neves, L. C., & Moreira, V. N. (2016). An innovative framework for probabilistic-based structural assessment with an application to existing reinforced concrete structures. Engineering Structures, 111, https://doi.org/10.1016/j.engstruct.2015.12.040

A novel framework for probabilistic-based structural assessment of existing structures, which combines model identification and reliability assessment procedures, considering in an objective way different sources of uncertainty, is presented in this... Read More about An innovative framework for probabilistic-based structural assessment with an application to existing reinforced concrete structures.

Inference on stiffness and strength of existing chestnut timber elements using Hierarchical Bayesian Probability Networks (2015)
Journal Article
Sousa, H. S., Branco, J. M., Lourenço, P. B., & Neves, L. C. (2015). Inference on stiffness and strength of existing chestnut timber elements using Hierarchical Bayesian Probability Networks. Materials and Structures, https://doi.org/10.1617/s11527-015-0770-8

The assessment of the mechanical properties of existing timber elements could benefit from the use of probabilistic information gathered at different scales. In this work, Bayesian Probabilistic Networks are used to hierarchically model the results o... Read More about Inference on stiffness and strength of existing chestnut timber elements using Hierarchical Bayesian Probability Networks.

Probabilistic analysis of degradation of façade claddings using Markov chain models (2015)
Journal Article
Silva, A., Gaspar, P. L., de Brito, J., & Neves, L. C. (2016). Probabilistic analysis of degradation of façade claddings using Markov chain models. Materials and Structures, 49(7), 2871-2892. https://doi.org/10.1617/s11527-015-0692-5

In this study, the time-dependent stochastic degradation of three types of claddings is analysed. For this purpose, 203 fac¸ades with stone claddings(directly adhered to the substrate), 195 with adhered ceramic claddings and 220 with painted surfaces... Read More about Probabilistic analysis of degradation of façade claddings using Markov chain models.

Probabilistic transition of condition: render facades (2015)
Journal Article
Silva, A., Neves, L. C., Gaspar, P. L., & de Brito, J. (2016). Probabilistic transition of condition: render facades. Building Research and Information, 44(3), 301-318. https://doi.org/10.1080/09613218.2015.1023645

The service life of cement-rendered facades is closely related to the environmental conditions that they are exposed to. The probability distribution is determined for the degradation condition of render facades considering different environmental ex... Read More about Probabilistic transition of condition: render facades.

Bayesian assessment of an existing bridge - a case study (2015)
Journal Article
Jacinto, L., Neves, L. C., & Santos, L. O. (in press). Bayesian assessment of an existing bridge - a case study. Structure and Infrastructure Engineering, 12(1), https://doi.org/10.1080/15732479.2014.995105

This article presents a case study involving the assessment of an existing bridge, starting with simple methods and ending with a probabilistic analysis, the latter emphasising Bayesian methods. When assessing an existing bridge, it is common practic... Read More about Bayesian assessment of an existing bridge - a case study.

Review and application of Artificial Neural Networks models in reliability analysis of steel structures (2014)
Journal Article
Chojaczyk, A., Teixeira, A., Neves, L. C., Cardosa, J., & Soares, C. G. (2015). Review and application of Artificial Neural Networks models in reliability analysis of steel structures. Structural Safety, 52(A), https://doi.org/10.1016/j.strusafe.2014.09.002

This paper presents a survey on the development and use of Artificial Neural Network (ANN) models in structural reliability analysis. The survey identifies the different types of ANNs, the methods of structural reliability assessment that are typical... Read More about Review and application of Artificial Neural Networks models in reliability analysis of steel structures.