All Outputs (62)

Application of machine learning for fuel consumption modelling of trucks (2017)
Conference Proceeding
Perrotta, F., Parry, T., & Neves, L. C. (2017). Application of machine learning for fuel consumption modelling of trucks.

This paper presents the application of three Machine Learning techniques to fuel consumption modelling of articulated trucks for a large dataset. In particular, Support Vector Machine (SVM), Random Forest (RF), and Artificial Neural Network (ANN) mod... Read More about Application of machine learning for fuel consumption modelling of trucks.

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.

Using truck sensors for road pavement performance investigation (2017)
Conference Proceeding
Perrotta, F., Parry, T., & Neves, L. C. (2017). Using truck sensors for road pavement performance investigation.

Considering data from 260 articulated trucks, with ~12900 cc Euro 6 engines driving along a motorway in England (M18), the study first shows how different approaches lead to the conclusion that road pavement surface conditions influence fuel consumpt... Read More about Using truck sensors for road pavement performance investigation.

Bridge asset management using Petri-Nets (2017)
Conference Proceeding
Yianni, P., Neves, L. C., Rama, D., Andrews, J., & Dean, R. (2017). Bridge asset management using Petri-Nets.

Management of a diverse portfolio of assets is a demanding and complex task. Although extensive research has been carried out in bridge asset management models, the model developed in this study contains flexibility which is able to model a vast arra... Read More about Bridge asset management using Petri-Nets.

Route level analysis of road pavement surface condition and truck fleet fuel consumption (2017)
Conference Proceeding
Perrotta, F., Trupia, L., Parry, T., & Neves, L. C. (2017). Route level analysis of road pavement surface condition and truck fleet fuel consumption.

Experimental studies have estimated the impact of road surface conditions on vehicle fuel consumption to be up to 5% (Beuving et al., 2004). Similar results have been published by Zaabar and Chatti (2010). However, this was established testing a limi... Read More about Route level analysis of road pavement surface condition and truck fleet fuel consumption.

A big data approach to assess the influence of road pavement condition on truck fleet fuel consumption (2017)
Conference Proceeding
Perrotta, F., Parry, T., & Neves, L. C. (2017). A big data approach to assess the influence of road pavement condition on truck fleet fuel consumption.

In Europe, the road network is the most extensive and valuable infrastructure asset. In England, for example, its value has been estimated at around £344 billion and every year the government spends approximately £4 billion on highway maintenance (Ho... Read More about A big data approach to assess the influence of road pavement condition on truck fleet fuel consumption.

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.