- document
-
Zhang, F. (author), Yang, Y. (author), Hendriks, M.A.N. (author)To assess the structural capacity of reinforced concrete structures, identifying the internal cracks is important. Acoustic emission (AE) is promising to estimate the location of internal cracks. However, the localization is influenced by many factors like arrival time picking error, presence of crack, etc., resulting in localization error. The...journal article 2023
- document
-
Falcetelli, F. (author), Cristiani, D.L.M. (author), Yue, N. (author), Sbarufatti, Claudio (author), Sante, Raffaella Di (author), Zarouchas, D. (author)Distributed Optical Fiber Sensors (DOFS) show several inherent benefits with respect to conventional strain-sensing technologies and represent a key technology for Structural Health Monitoring (SHM). Despite the solid motivation behind DOFS-based SHM systems, their implementation for real-time structural assessment is still unsatisfactory...conference paper 2023
- document
-
Matos, Ana Mafalda (author), Granja, José (author), Nunes, Sandra (author), Barroso-Aguiar, José L. (author), Azenha, Miguel (author)The current work provides an integrated analysis of autogenous shrinkage, isothermal calorimetry, and modulus of elasticity measurement through ambient response method (EMM-ARM), to characterise the hardening behaviour of a non-proprietary and more eco-friendly ultra-high performance fibre reinforced cementitious composite (UHPFRC)....journal article 2023
- document
-
Rojas, D. (author), Quintana Gallo, P. (author), Pürgstaller, A. (author), Bianchi, S. (author), Ciurlanti, J. (author), Pampanin, S. (author), Bergmeister, K. (author)This article presents a numerical study on the influence of the anchorage shear hysteresis on the seismic response of nonstructural components (NSC) connected to multi-storey reinforced concrete (RC) buildings, and of the anchorage itself. To cover a variety of different types of shear hysteresis shapes, this contribution considered the...journal article 2023
- document
-
Sarkar, A. (author), Al-Ars, Z. (author), Bertels, K.L.M. (author)In this research, we extend the universal reinforcement learning agent models of artificial general intelligence to quantum environments. The utility function of a classical exploratory stochastic Knowledge Seeking Agent, KL-KSA, is generalized to distance measures from quantum information theory on density matrices. Quantum process...conference paper 2023
- document
-
Slegers, Ron (author)An experimental research into the use of basalt as reinforcement in concrete to reduce the ECI value of a concrete quay wall apron. In this research experiments with basalt minibars and basalt reinforced polymer rebars are performed to compare directly to steel fibres and steel rebars. With the test results 4 designs are produced resulting in...master thesis 2022
- document
-
Neustroev, G. (author)Sequential decision-making under uncertainty is an important branch of artificial intelligence research with a plethora of real-life applications. In this thesis, we generalize two fundamental properties of the decision-making process. First, we show that the theory on planning methods for finite spaces can be extended to infinite but countable...doctoral thesis 2022
- document
-
Zhang, S. (author)Alkali-activated Materials (AAMs), including those classified as geopolymer, are obtained through the reaction between a solid precursor and an alkaline solution. Compared with ordinary Portland cement (OPC) binders, these materials maintain comparable mechanical properties but have the advantage of reducing greenhouse gas emissions and...doctoral thesis 2022
- document
-
Li, Zhuoheng (author)Programmers usually write test cases to test onboard software. However, this procedure is time-consuming and needs sufficient prior knowledge. As a result, small satellite developers may not be able to test the software thoroughly. <br/> <br/>A promising direction to solve this problem is reinforcement learning (RL) based testing. It searches...master thesis 2022
- document
-
Voogd, Kevin (author)Autonomous driving is attracting growing attention because of the potential advantages it poses on safety, leisure, energy efficiency, reduced emissions, and traffic reduction. Current research is focusing on areas related to artificial intelligence to solve complex planning and decision-making tasks, object detection, or simultaneous...master thesis 2022
- document
-
Lambregts, Dorien (author)The production and consumption of electricity need to be balanced at all times. Due to the ever-growing shift towards renewable energy generation, this poses an increasingly difficult challenge. Currently, supply is regulated to maintain balance. However, there is potential to improve reliability and save costs by shifting the balancing to the...master thesis 2022
- document
-
Seres, Peter (author)With the recent increase in the complexity of aerospace systems and autonomous operations, there is a need for an increased level of adaptability and model-free controller synthesis. Such operations require the controller to maintain safety and performance without human intervention in non-static environments with partial observability and...master thesis 2022
- document
-
van Rietbergen, Tomas (author)Reliable indoor navigation in the presence of dynamic obstacles is an essential capability for mobile robot deployment. Previous work on robot navigation focuses on expanding the network structure and hardware setup leading to more complex and costly systems. The accompanying physical demonstrations are often limited to slow-moving agents and...master thesis 2022
- document
-
Casals Sadlier, Juliette (author)The implementation of a model-free, off-policy, actor-critic deep reinforcement learning algorithm consistent of two separate agents to a six-degree-of freedom spacecraft docking maneuver to develop a control policy is carried out in the research presented in this article. Reinforcement learning has the ability to learn without instruction, this...master thesis 2022
- document
-
Drozdowski, Tomasz (author)Artificial Intelligence technology offers computational, decision-making, and optimizing abilities that surpass every previously established traditional computation method. By being able to navigate across large amounts of data, the realized solutions learn on their own and provide results that would be unattainable with other ways. The complex...master thesis 2022
- document
-
de Brouchoven de Bergeyck, Aymar (author)Vehicle routing problems have been studied for more than 50 years, and their in- terest has never been higher. It is partly due to their significant economic impact. Decreasing the traveling time, certainly for big organizations, can save costs in the range of millions of dollars and increase their service quality. Moreover, the wide variety of...master thesis 2022
- document
-
Rowntree, Timon (author)For future operations of unmanned aviation, even higher traffic densities than previously seen in manned aviation are expected. Previous work has shown that a vertically layered airspace design performs best at improving safety metrics such as the total number of conflicts and Losses of Separation (LoSs). Furthermore, it has been shown that...master thesis 2022
- document
-
Ferreira de Brito, B.F. (author)Autonomous robots will profoundly impact our society, making our roads safer, reducing labor costs and carbon dioxide (CO2) emissions, and improving our life quality. However, to make that happen, robots need to navigate among humans, which is extremely difficult. Firstly, humans do not explicitly communicate their intentions and use intuition...doctoral thesis 2022
- document
-
Robijns, Daisy (author)Vitrectomy is an often performed procedure during eye surgery and requires a high-precision vitreous cutter. The production of these precise and lightweight vitreous cutters sets high demands on the manufacturing process. Trained technicians must assemble the device step by step and continuously check and validate the manufacturing process....master thesis 2022
- document
-
Ferreira Lemos, André (author)Even though Deep Reinforcement Learning (DRL) techniques have proven their ability to solve highly complex control tasks, the opaqueness and inexplicability associated with these solutions many times stops them from being applied to real flight control applications. In this research, reward decomposition explanations are used to tackle this...master thesis 2022