Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Maarten Bassier is active.

Publication


Featured researches published by Maarten Bassier.


euro-mediterranean conference | 2016

Implementation of Scan-to-BIM and FEM for the Documentation and Analysis of Heritage Timber Roof Structures

Maarten Bassier; George Hadjidemetriou; Maarten Vergauwen; Nathalie Van Roy; Els Verstrynge

Current heritage analysis applications and documentation techniques for timber roof structures rely on manual measurements to provide the spatial data. Major simplifications are made to document these structures efficiently. However, these simplified geometric models provide less reliable results. Therefore, the need exists for more realistic models. Additionally, the exchangeability of information between varying parties is paramount. Hence, the construction elements should be defined in a Building Information Model (BIM). This allows users to reuse the model, allowing the distribution of information throughout the project. The goal of our research is to create a realistic BIM model of a complex heritage roof structure employing dense point clouds. The comparison of our complex geometric model to a traditional wire-frame model proves that our approach provides more reliable results in terms of geometry and structural behaviour. Our work covers the acquisition, the modelling and the structural analysis of timber roof structures.


Archive | 2019

Semi-automated Creation of Accurate FE Meshes of Heritage Masonry Walls from Point Cloud Data

Maarten Bassier; Gilles Hardy; Leidy Bejarano-Urrego; Anastasios Drougkas; Els Verstrynge; Koen Van Balen; Maarten Vergauwen

The structural analysis of buildings requires accurate spatial models. Additionally, spatial information on pathologies such as settlement-induced damage is paramount in the assessment of heritage assets. This spatial information is used as a basis for Finite Element Methods (FEM) to evaluate the stability of the structure. Traditional data acquisition approaches rely on manual measurements which are labor intensive and error prone. Therefore, major simplifications are made to document structures efficiently. The goal of this research is to provide faster and more accurate procedures to capture the spatial information required by a Finite Element (FE) mesh. This paper presents a semi-automated approach to create accurate models of complex heritage buildings for the purpose of structural analysis. By employing remote sensing techniques such as terrestrial laser scanning and photogrammetry, a complex mesh of the structure is created. Also, a methodology is proposed to capture crack information. A stepwise approach is elaborated to illustrate how the spatial information is adapted towards a FE mesh. The results show a significant difference between the geometry of our model and a traditional wire-frame model. Not only does accurate modelling result in deviating loads, it also affects the behavior of the object. Through the proposed approach, experts can develop highly accurate FE meshes to assess the stability of the structure up to as-built conditions and taking into account existing damage patterns.


Archive | 2019

Numerical Analysis of Settlement-Induced Damage to a Masonry Church Nave Wall

Leidy Bejarano-Urrego; Els Verstrynge; Anastasios Drougkas; Giorgia Giardina; Maarten Bassier; Maarten Vergauwen; Koen Van Balen

Differential soil settlements can induce structural damage to heritage buildings, causing not only economic but also cultural value losses. In 1963, the Saint Jacob’s church in Leuven was permanently closed to the public because of severe settlement-induced damage caused by insufficient bearing capacity of the foundation. Currently, the church is stabilized using a temporary shoring system. This work aims at implementing a practical modelling approach to predict damage on church nave walls subjected to differential settlements. For that purpose, a finite element model of the Saint Jacob’s church nave was generated and validated through on-site monitoring data including levelling, damage survey and laser scanning. The model takes into account the non-linear behavior of the masonry by means of continuum smeared cracking. The paper introduces two approaches to model the settlement on the structure. One of them consists in the direct application of vertical displacements underneath the structure according to the deformation profile measured on-site. In the second approach, interfaces with different stiffness are placed at the base allowing the structure to deform under its self-weight. In addition, the effect of the settlement profile type in the damage level is analyzed.


euro-mediterranean conference | 2018

Panoramic Image Application for Cultural Heritage

Maarten Bassier; Tijs Deloof; Stan Vincke; Maarten Vergauwen

Advancements in remote sensing and communication technology caused a surge in new methods to capture and share information about tangible heritage. The documentation of these monuments is vital to the conservation process. However, current workflows generate an immense amount of information and often fail to properly relay the context of the scene. Additionally, the distribution of information between different stakeholders is paramount in preventive conservation.


ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences | 2017

AUTOMATED CLASSIFICATION OF HERITAGE BUILDINGS FOR AS-BUILT BIMUSING MACHINE LEARNING TECHNIQUES

Maarten Bassier; Maarten Vergauwen; B. Van Genechten


ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences | 2016

STANDALONE TERRESTRIAL LASER SCANNING FOR EFFICIENTLY CAPTURING AEC BUILDINGS FOR AS-BUILT BIM

Maarten Bassier; Maarten Vergauwen; B. Van Genechten


Proceedings of the 4th Annual International Conference on Architecture and Civil Engineering(ACE2016) | 2016

Automated Semantic Labelling of 3D Vector Models for Scan-to-BIM

Maarten Bassier; Maarten Vergauwen; Bjorn Van Genechten


Journal of building engineering | 2018

Classification of sensor independent point cloud data of building objects using random forests

Maarten Bassier; Bjorn Van Genechten; Maarten Vergauwen


ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences | 2017

SEGMENTATION OF LARGE UNSTRUCTURED POINT CLOUDS USINGOCTREE-BASED REGION GROWING AND CONDITIONAL RANDOM FIELDS

Maarten Bassier; M. Bonduel; B. Van Genechten; Maarten Vergauwen


Remote Sensing | 2018

An Overview of Innovative Heritage Deliverables Based on Remote Sensing Techniques

Maarten Bassier; Stan Vincke; Roberto de Lima Hernandez; Maarten Vergauwen

Collaboration


Dive into the Maarten Bassier's collaboration.

Top Co-Authors

Avatar

Maarten Vergauwen

Katholieke Universiteit Leuven

View shared research outputs
Top Co-Authors

Avatar

B. Van Genechten

Katholieke Universiteit Leuven

View shared research outputs
Top Co-Authors

Avatar

Els Verstrynge

Katholieke Universiteit Leuven

View shared research outputs
Top Co-Authors

Avatar

Anastasios Drougkas

Katholieke Universiteit Leuven

View shared research outputs
Top Co-Authors

Avatar

Koen Van Balen

Katholieke Universiteit Leuven

View shared research outputs
Top Co-Authors

Avatar

Leidy Bejarano-Urrego

Katholieke Universiteit Leuven

View shared research outputs
Top Co-Authors

Avatar

M. Bonduel

Katholieke Universiteit Leuven

View shared research outputs
Top Co-Authors

Avatar

R. Klein

Katholieke Universiteit Leuven

View shared research outputs
Top Co-Authors

Avatar

Stan Vincke

Katholieke Universiteit Leuven

View shared research outputs
Top Co-Authors

Avatar

George Hadjidemetriou

Katholieke Universiteit Leuven

View shared research outputs
Researchain Logo
Decentralizing Knowledge