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Amir, Sana (author), van der Veen, C. (author), Walraven, J.C. (author), de Boer, Ane (author)
A large number of bridges in the Netherlands have transversely post tensioned deck slabs cast in-situ between flanges of precast girders and were found to be critical in shear when evaluated by Eurocode 2. To investigate the bearing (punching shear) capacity of such bridges, a 1:2 scale bridge model was constructed in the laboratory and...
conference paper 2023
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Kamat, Ameya (author), Abbas, Yawar (author), Blagojević, Andrija (author), van Casteren, Toine (author), Walraven, Joost (author)
Service life of concrete infrastructure is severely compromised because of chloride-induced corrosion and measuring the chloride content is crucial to determine the remaining service life. DuraCrete provides a chloride ingress model based on Fick’s 2nd law. Although the diffusion coefficient is modelled as a time-dependent variable, the...
conference paper 2021
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Kamat, Ameya (author), Abbas, Yawar (author), Blagojevic, Andrija (author), van Casteren, Toine (author), Walraven, J.C. (author)
Service life of concrete infrastructure is severely compromised because of chloride-induced corrosion and measuring the chloride content is crucial to determine the remaining service life. DuraCrete provides a chloride ingress model based on Fick’s 2nd law. Although the diffusion coefficient is modelled as a time-dependent variable, the...
conference paper 2021
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Roijers, Diederik M. (author), Walraven, E.M.P. (author), Spaan, M.T.J. (author)
Iteratively solving a set of linear programs (LPs) is a common strategy for solving various decision-making problems in Artificial Intelligence, such as planning in multi-objective or partially observable Markov Decision Processes (MDPs). A prevalent feature is that the solutions to these LPs become increasingly similar as the solving algorithm...
conference paper 2018
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de Nijs, F. (author), Walraven, E.M.P. (author), de Weerdt, M.M. (author), Spaan, M.T.J. (author)
Multi-agent planning problems with constraints on global resource consumption occur in several domains. Existing algorithms for solving Multi-agent Markov Decision Processes can compute policies that meet a resource constraint in expectation, but these policies provide no guarantees on the probability that a resource constraint violation will...
conference paper 2017
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Walraven, E.M.P. (author), Spaan, M.T.J. (author)
Partially Observable Markov Decision Processes (POMDPs) are powerful models for planning under uncertainty in partially observable domains. However, computing optimal solutions for POMDPs is challenging because of the high computational requirements of POMDP solution algorithms. Several algorithms use a subroutine to prune dominated vectors in...
conference paper 2017
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Walraven, E.M.P. (author), Spaan, M.T.J. (author)
Renewable energy sources introduce uncertainty regarding generated power in smart grids. For instance, power that is generated by wind turbines is time-varying and dependent on the weather. Electric vehicles will become increasingly important in the development of smart grids with a high penetration of renewables, because their flexibility makes...
conference paper 2016
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Walraven, E.M.P. (author), Spaan, M.T.J. (author)
The increasing penetration of renewable energy sources and electric vehicles raises important challenges related to the operation of electricity grids. For instance, the amount of power generated by wind turbines is time-varying and dependent on the weather, which makes it hard to match flexible electric vehicle demand and uncertain wind power...
conference paper 2016
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Walraven, E.M.P. (author), Spaan, M.T.J. (author)
In many planning domains external factors are hard to model using a compact Markovian state. However, long-term dependencies between consecutive states of an environment might exist, which can be exploited during planning. In this paper we propose a scenario representation which enables agents to reason about sequences of future states. We show...
conference paper 2015
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Walraven, E.M.P. (author), Spaan, M.T.J. (author)
Integration of renewable energy in power systems is a potential source of uncertainty, because renewable generation is variable and may depend on changing and highly uncertain weather conditions. In this paper we present and evaluate a new method to schedule power-demanding tasks with release times and deadlines under uncertainty, in order to...
conference paper 2015
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Shionaga, R. (author), Pansuk, W. (author), Grunewald, S. (author), den Uijl, J.A. (author), Walraven, J.C. (author)
The synergistic action of a cementitious matrix and fibres can result in strain hardening in tension. The accompanied tensile strain capacity can be an important design parameter for strain-hardening cementitious composites in order to prevent the localization in a single crack and to assure that the stress is at least the tensile strength o f...
conference paper 2014
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Blagojevic, A. (author), Koleva, D.A. (author), Walraven, J.C. (author)
This work reports on the investigation of steel corrosion behavior in 1000 mm in length reinforced concrete beams under sustained load, aiming to define a feasible experimental protocol for corrosion monitoring. The beams were subjected to wetting (5% NaCl for corroding cases and tap water for control ones) and drying cycles. Generally applied...
conference paper 2014
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Amir, S. (author), Van der Veen, C. (author), Walraven, J.C. (author), De Boer, A. (author)
The research subject of this paper is the bearing capacity of transversely prestressed concrete bridge decks between concrete girders under concentrated loads. Experiments on a 1:2 scale model of this bridge were carried out in the laboratory and a 3D nonlinear finite element model was developed in the FEA software package DIANA to study the...
conference paper 2014
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Blagojevic, A. (author), Koleva, D.A. (author), Walraven, J.C. (author)
Chloride-induced corrosion of steel reinforcement is one of the major threats to durability of reinforced concrete structures in aggressive environmental conditions. When the steel reinforcement starts to corrode, structures gradually lose integrity and service life is shortened. Cracks are inevitable in practice and they facilitate ingress of...
conference paper 2014
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Amir, S. (author), Van der Veen, C. (author), Walraven, J.C. (author), De Boer, A. (author)
In the Netherlands, most of the bridges were built more than 50 years ago and it is essential for designers to find out if these bridges are safe for modern traffic especially in shear since that was not considered in design recommendations before 1976. Detailed experiments have been carried out in the laboratory to investigate punching shear...
conference paper 2014
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Lantsoght, E.O.L. (author), De Boer, A. (author), Van der Veen, C. (author), Walraven, J.C. (author)
conference paper 2014
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Grunewald, S. (author), Shionaga, R. (author), Walraven, J.C. (author)
Floor panels produced with traditionally vibrated concrete are relatively thick due to the need to reinforce concrete and consequently, heavy. Without the need to place rebars in panels and by applying self-compacting fibre reinforced concrete (SCFRC) the production process becomes more efficient. Fibres improve the performance of concrete by...
conference paper 2013
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Ter Maten, R.N. (author), Grunewald, S. (author), Walraven, J.C. (author)
Ultra-High Performance Fibre-Reinforced Concrete (UHPFRC) is an innovative concrete type with a high compressive strength and a far more durable character compared to conventional concrete. UHPFRC can be applied in structures with aesthetic appearance and high material efficiency. Shell structures are spatially curved surface structures of which...
conference paper 2013
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Elffers, J. (author), Konijnenberg, D. (author), Walraven, E.M.P. (author), Spaan, M.T.J. (author)
Several approaches exist to solve Artificial Intelligence planning problems, but little attention has been given to the combination of using landmark knowledge and satisfiability (SAT). Landmark knowledge has been exploited successfully in the heuristics of classical planning. Recently it was also shown that landmark knowledge can improve the...
conference paper 2013
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Elffers, J. (author), Konijnenberg, D. (author), Walraven, E. (author), Spaan, M.T.J. (author)
Several approaches exist to solve Artificial Intelligence planning problems, but little attention has been given to the combination of using landmark knowledge and satisfiability (SAT). Landmark knowledge has been exploited successfully in the heuristics of classical planning. Recently it was also shown that landmark knowledge can improve the...
conference paper 2013
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