Oswaldo Morales Nápoles

Associate professor probabilistic design

Delft University of Technology

Netherlands

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Oswaldo Morales Nápoles is an Associate Professor of Probabilistic Design at Technische Universiteit Delft, Netherlands. His research areas include reliability-based structural assessment, probabilistic modeling in engineering, and the evaluation of flood protection measures. He has published recent articles focusing on topics such as structural engineering under uncertain conditions and statistical methods for expert judgment in engineering applications.

Oswaldo Morales Nápoles

Research Interests

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Articles (26)

Continuous Distributions and Measures of Statistical Accuracy for Structured Expert Judgment

Reliability-based structural assessment of steel truss bridges subjected to failure scenarios

Unlocking Student Choices: Assessing Student Preferences in Courses in Engineering Education

Storm surge hydrographs from historical observations of sea level along the Dutch North Sea coast

Evolution of flood protection levels and flood vulnerability in Europe since 1950 estimated with vine-copula models

Probabilistic Estimation of Primary Ship-Induced Wave Heights at Estuary Groins Using a Nonparametric Bayesian Network

Wind-induced vibration control of base-isolated high-rise buildings by using tuned mass damper inerter

Using the classical model for structured expert judgment to estimate extremes: a case study of discharges in the Meuse River

The influence of spatial variation on the design of foundations of immersed tunnels: Advanced probabilistic analysis

Elicitation of Rank Correlations with Probabilities of Concordance: Method and Application to Building Management

Estimating bridge criticality due to extreme traffic loads in highway networks

A copula-based model to describe the uncertainty of overtopping variables on mound breakwaters

Corrigendum to “Estimating bridge criticality due to extreme traffic loads in highway networks” [Eng. Struct. vol. 300, 1 February 2024, 117172] (Engineering Structures (2024) 300, (S0141029623015870), (10.1016/j.engstruct.2023.117172))

Gaussian Copula-based Bayesian network approach for characterizing spatial variability in aging steel bridges

Investigating meteorological wet and dry transitions in the Dutch Meuse River basin

Mapping hazardous locations on a road network due to extreme gross vehicle weights

Chimera: An atlas of regular vines on up to 8 nodes

Climate change - induced hazards on touristic island beaches: Cyprus, Eastern Mediterranean

Applying non-parametric Bayesian networks to estimate maximum daily river discharge: potential and challenges

Expert judgment-based reliability analysis of the Dutch flood defense system

Decision Making Model for Municipal Wastewater Conventional Secondary Treatment with Bayesian Networks

A Non-parametric Bayesian Network for multivariate probabilistic modelling of Weigh-in-Motion System Data

Structural reliability analysis of a submerged floating tunnel under copula-based traffic load simulations

Stochastic Modeling of Hydroclimatic Processes Using Vine Copulas

Probabilistic Characterization of the Vegetated Hydrodynamic System Using Non-Parametric Bayesian Networks

A probabilistic approach to estimating residential losses from different flood types

Collaborators (10)

Elisa Ragno

Guus Rongen

Borja Conde

Markus Hrachowitz

Miguel Angel Mendoza Lugo

Marcel van Gent

Robert Lanzafame

José A. Á. Antolínez

Belen Riveiro

Gina Alexandra Torres Alves

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