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Mendoza Lugo, M.A. (author), Nogal Macho, M. (author), Morales Napoles, O. (author)Around the world, an increasing amount of bridge infrastructure is ageing. The resources involved in the reassessment of existing assets often exceed available resources and many bridges lack a minimum structural assessment. Therefore, there is a need for comprehensive and quantitative approaches to assess all the assets in the bridge network to...journal article 2024
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Bij de Vaate, I. (author), Slobbe, D.C. (author), Verlaan, M. (author)Multi-mission satellite altimetry data have been used to study the spatial and temporal variability in global storm surge water levels. This was done by means of a time-dependent extreme value analysis applied to the monthly maximum detided water levels. To account for the limited temporal resolution of the satellite data, the data were first...journal article 2024
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Yarveisy, R. (author), Khan, Faisal (author), Abbassi, Rouzbeh (author)This paper presents a data-driven approach to predict the pipelines’ corrosion-induced Burst failure. In this approach, different aspects of pit growth progression and spatial distribution of pits are simulated. The proposed approach takes advantage of population characteristics to model these aspects of the degradation paths for each pipe...journal article 2024
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Gründemann, Gaby J. (author)Improved understanding of historical precipitation extremes is important to better explain their behavior, predict future occurrences, and inform planning and engineering design. The intensity, seasonality, and timing of these extremes have far-reaching consequences, and require a comprehensive analysis of both historical trends and projected...doctoral thesis 2023
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Shang, Y. (author), Nogal Macho, M. (author), Teixeira, Rui (author), Wolfert, A.R.M. (author)The use of sensitivity analysis is essential in model development for the purposes of calibration, verification, factor prioritization, and mechanism reduction. While most contributions to sensitivity methods focus on the average model response, this paper proposes a new sensitivity method focusing on the extreme response and structural limit...journal article 2023
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Scharnke, Jule (author), van Essen, S.M. (author), Seyffert, Harleigh C. (author)In the assessment of wave-in-deck loads for new and existing maritime structures typically model tests are carried out. To determine the most critical conditions and measure sufficient impact loads, a range of sea states and various seeds (realisations) for each sea state are tested. Based on these measurements, probability distributions can...journal article 2023
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Gründemann, Gaby J. (author), Zorzetto, Enrico (author), Beck, Hylke E. (author), Schleiss, M.A. (author), van de Giesen, N.C. (author), Marani, Marco (author), van der Ent, R.J. (author)Quantifying the magnitude and frequency of extreme precipitation events is key in translating climate observations to planning and engineering design. Past efforts have mostly focused on the estimation of daily extremes using gauge observations. Recent development of high-resolution global precipitation products, now allow estimation of...journal article 2023
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Velthoen, J.J. (author), Dombry, Clément (author), Cai, Juan Juan (author), Engelke, Sebastian (author)Extreme quantile regression provides estimates of conditional quantiles outside the range of the data. Classical quantile regression performs poorly in such cases since data in the tail region are too scarce. Extreme value theory is used for extrapolation beyond the range of observed values and estimation of conditional extreme quantiles....journal article 2023
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van Essen, S.M. (author), Scharnke, Jule (author), Seyffert, Harleigh C. (author)For the design of maritime structures in waves, the extreme values of responses such as motions and wave impact loads are required. Waves and wave-induced responses are stochastic, so such responses should always be related to a probability. This information is not easy to obtain for strongly non-linear responses such as wave impact forces....journal article 2023
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Velthoen, J.J. (author)In this thesis we develop several statistical methods to estimate high conditional quantiles to use for statistical post-processing of weather forecasts. We propose methodologies that combine theory from extreme value statistics and machine learning algorithms in order to estimate high conditional quantiles in large covariate spaces. In...doctoral thesis 2022
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Cheng, D. (author)This dissertation collects three scientific contributions, already published in international peer-reviewed journals, plus some extra considerations and work-in-progress. First, we present a model based on reinforced urn processes, which conjugates to the right-censored recovery process, and empirically apply it to the time series of recovery...doctoral thesis 2022
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Maffei, C. (author)Forest fires are a major ecosystem disturbance at global scale, put pressure on agencies in charge of citizens and infrastructure security and cause unvaluable human losses. Fires are controlled by multiple static and dynamic drivers related to topography, land cover, climate, weather, and anthropic activity. Among these, weather is an active...doctoral thesis 2022
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Seyffert, Harleigh C. (author)To examine the reliability or performance of marine systems related to dynamic time-varying responses, time domain simulation may be required. But for long durations, brute-force simulation is clearly not feasible from a computational point of view to examine converged extreme value statistics. An additional challenge is defining a set of...journal article 2022
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Memar, S. (author), Morales Napoles, O. (author), Hofland, Bas (author), Melling, Gregor (author)During the last two decades, increasing vessel size in major German estuaries has led to the significant change of the local loading regime i.e. increased importance of ship-induced waves and currents. As a consequence, the intensity of ship-induced loads has increased considerably, resulting in damage to rock structures such as revetments,...conference paper 2021
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Torres Alves, G.A. (author), Morales Napoles, O. (author), Jonkman, Sebastiaan N. (author)A submerged floating tunnel (SFT) is a novel structure that allows crossing waterways where immersed tunnels or bridges are not viable. However, no SFT has been built yet mainly, due to lack of experience. In consequence, there are several uncertainties regarding its design and construction. An effect that should be further investigated is the...conference paper 2021
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Pudane, B. (author), van Cranenburgh, S. (author), Chorus, C.G. (author)Fully Automated Vehicles (AVs) have been widely expected to revolutionise the future travel experience. Recent studies have shown that their impact may also reach beyond the travel episode, and lead their users to alter other activities performed during the day – their daily lifestyles. This study is among the first to empirically investigate...journal article 2021
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Zhang, Min (author), Dai, Zhijun (author), Bouma, T.J. (author), Bricker, J.D. (author), Townend, Ian (author), Wen, Jiahong (author), Zhao, Tongtiegang (author), Cai, Huayang (author)A better understanding of how tidal-flat reclamation changes the flood hazard is critical for climate-proofing coastal flood defense design of heavily urbanized areas. Since the 1950s, large-scale reclamation has been performed along the Shanghai coast, China, to fulfill the land demands of city expansion. We now show that the loss of tidal...journal article 2021
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Tapia, Rodrigo Javier (author), de Jong, Gerard (author), Larranaga, Ana M. (author), Bettella Cybis, Helena B. (author)There are some examples where freight choices may be of a multiple discrete nature, especially the ones at more tactical levels of planning. Nevertheless, this has not been investigated in the literature, although several discrete-continuous models for mode/vehicle type and shipment size choice have been developed in freight transport. In...journal article 2021
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van der Veen, A.J. (author), Romme, J.P.A. (author), Cui, Ye (author)In Principal Component Analysis (PCA), the dimension of the signal subspace is detected by counting the number of eigenvalues of a covariance matrix that are above a threshold. Random matrix theory provides accurate estimates for this threshold if the underlying data matrix has independent identically distributed columns. However, in time series...conference paper 2020
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Lavidas, G. (author)This study introduces a novel index that accounts for the interactions of wave climate and wave energy converters, offering an unbiased approach that considers climate variability, survivability and energy production. Application of the index is done with use of a longterm wave hindcast validated database for the North Sea. A detailed overall...journal article 2020
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