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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.

Deterioration modeling of steel moment resisting frames using finite-length plastic hinge force-based beam-column elements (2014)
Journal Article
Ribeiro, F. L., Barbosa, A. R., Scott, M. H., & Neves, L. C. (2015). Deterioration modeling of steel moment resisting frames using finite-length plastic hinge force-based beam-column elements. Journal of Structural Engineering, 141(2), Article 04014112. https://doi.org/10.1061/%28ASCE%29ST.1943-541X.0001052

The use of empirically calibrated moment-rotation models that account for strength and stiffness deterioration of steel frame members is paramount in evaluating the performance of steel structures prone to collapse under seismic loading. These deteri... Read More about Deterioration modeling of steel moment resisting frames using finite-length plastic hinge force-based beam-column elements.

Application of reliability-based robustness assessment of steel moment resisting frame structures under post-mainshock cascading events (2014)
Journal Article
Ribeiro, F. L., Barbosa, A. R., & Neves, L. C. (in press). Application of reliability-based robustness assessment of steel moment resisting frame structures under post-mainshock cascading events. Journal of Structural Engineering, 140(8), Article A4014008. https://doi.org/10.1061/%28ASCE%29ST.1943-541X.0000939

This paper proposes a reliability-based framework for quantifying structural robustness considering the occurrence of a major earthquake (mainshock) and subsequent cascading hazard events, such as aftershocks that are triggered by the mainshock. Thes... Read More about Application of reliability-based robustness assessment of steel moment resisting frame structures under post-mainshock cascading events.