Prof. Dr. Nicola Baldo
University of Udine
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Academic Career Length
17Years (2010-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 September 2010 in Journal of Hazardous Materials
Journal Article
MPMarco Pasetto
Marco PasettoNicola Baldo1 August 2011 in Construction and Building Materials
Journal Article
MPMarco Pasetto
Marco PasettoNicola Baldo1 April 2016 in Construction and Building Materials
Journal Article
MPMarco Pasetto
Marco PasettoNicola BaldoJournal Article
The present paper discusses the analysis and modeling of laboratory data regarding the mechanical characterization of hot mix asphalt (HMA) mixtures for road pavements, by means of artificial neural networks (ANNs). The HMAs investigated were produced using aggregate and bitumen of different types. Stiffness modulus (ITSM) and Marshall stability (MS) and quotient (MQ) were assumed as mechanical parameters to analyze and predict. The ANN modeling approach was characterized by multiple layers, the k-fold cross validation (CV) method, and the positive linear transfer function. The effectiveness of such an approach was verified in terms of the coefficients of correlation ( ) and mean square errors; in particular, values were within the range in the training phase and in the CV testing phase, depending on the predicted parameters.
14 September 2011 in Materials and Structures
Journal Article
MPMarco Pasetto
Marco PasettoNicola Baldo1 September 2017 in International Journal of Pavement Research and Technology
Journal Article
MPMarco Pasetto
Marco Pasetto
Nicola BaldoThe paper discusses the results of an experimental study and a statistical analysis on the stiffness and the fatigue performance of recycled asphalt concretes, evaluated by the four-point bending test, at 20 °C and 10 Hz. The laboratory study was conducted on five different base-binder bituminous mixtures, made with recycled aggregates, namely Reclaimed Asphalt Pavement aggregate (RAP) and Electric Arc Furnace (EAF) steel slag, up to 70% by weight of the aggregate. In order to evaluate statistically the influence of the recycled aggregates on the stiffness of the mixes, the analysis of variance (ANOVA) has been performed on the modulus data. The fatigue tests were performed in stress and strain control mode, in order to describe completely the fatigue properties of the mixes. A dissipated energy method, based on the internal damage produced within the asphalt concretes, was used for the fatigue analysis. The damage curves, expressed in terms of the Plateau Value of the Ratio of Dissipated Energy Change, for both the stress and the strain control mode, were elaborated and statistically analyzed in order to unify the fatigue analysis. Compared to the control asphalt concrete, made exclusively with natural aggregate, the resulting mixes with RAP and EAF slag were characterized by improved stiffness and fatigue performance
About Me
Nicola Baldo graduated in Civil Engineering, Transport, at the University of Padua (December 2000), and obtained a Ph.D. in Geodesy and Geomatics, at the Politecnico di Milano (May 2006).
He is currently Full Professor at the University of Udine (October 2023 - today), for which he previously served as Associate Professor (December 2018 - September 2023) as well as Assistant Professor (November 2010 - November 2018).
He serves at the Polytechnic Department of Engineering and Architecture - DPIA (January 2016 - present).
Lecturer of Road, Railways and Airports Construction (B.Sc. in Civil and Environmental Engineering), and Transport Infrastructures Design (M.Sc. in Civil Engineering).
Head of the research group "Road Infrastructures" and of the Car Driving Simulator Lab. of DPIA.
His main research topics are: analysis and modeling of road safety, study of driving behaviors in complex infrastructural, environmental and cognitive conditions, analysis and modeling of experimental data related to the mechanical characterization of road infrastructure materials, also with advanced computational approaches based on machine learning algorithms.
Speaker at numerous international scientific workshops and conferences. Reviewer and member of the editorial board of international scientific journals in civil, environmental and road engineering.