Publicaties

The present study reports on the preferences among e-bike users for commuting trips. An online survey with sixteen choice-based conjoint questions was conducted in March 2020 amongst 144 e-cyclists and non e-cyclists in Flanders (Belgium). Their choices were analysed using a no-choice binomial logit model. The impact of the following factors showed to be most important: weather conditions, trip time, type of e-bike, and financial support by the ...

In many companies and especially in companies producing small series of products, manual assembly is highly needed for its flexibility. Complexity of manual assembly tasks is increasing in these companies and operators need to be supported. A framework was developed to facilitate designers to design for assembly meaning, a product design approach that aims to improve the intuitiveness of the assembly process and tries to lower the need for ...

This paper deals with damage detection using a Gapped Smoothing Method (GSM) combined with deep learning. Convolutional Neural Network (CNN) is a model of deep learning. CNN has an input layer, an output layer, and a number of hidden layers that consist of convolutional layers. The input layer is a tensor with shape (number of images) x (image width) x (image height) x (image depth). An activation function is applied each time to this tensor ...

In this paper, a crack identification using Artificial Neural Network (ANN) is investigated to predict the crack depth in pipeline structure based on modal analysis technique using Finite Element Method (FEM). In various fields, ANN has become one of the most effective instruments using computational intelligence techniques to solve complex problems. This paper uses Particle Swarm Optimization (PSO) to enhance ANN training parameters (bias and ...

In this paper, new analytical formulations, which can be easily applied to normal and high-strength concretes under monotonic compressive and direct tensile loads, are proposed. Moreover, plastic damage model for concrete under uniaxial cyclic loading is also employed by introducing a simple damage function. The majority of published material models focuses on a certain type of concrete based on their testing results, which can be hardly applied ...

To achieve a modal shift towards waterborne transport and to deal with the shortage of crewmembers, a platooning concept called the “Vessel Train” is explored for the inland navigation sector. A Vessel Train consists of a lead and various follower vessels. The lead vessel is fully manned and takes over the navigational and situational awareness responsibilities for the follower vessels. This leading action benefits the followers through ...

The landing task is fundamental to Micro air vehicles (MAVs) when attempting to land in an unpredictable environment (e.g., presence of static obstacles or moving obstacles). The MAV should immediately detect the environment through its sensors and decide its actions for landing. This paper addresses the problem of the autonomous landing approach of a commercial AR. Drone 2.0 in presence of uncertain obstacles in an indoor environment. A ...