Methodological-technological framework for construction 4.0
F Muñoz-La Rivera, J Mora-Serrano, I Valero… - … methods in engineering, 2021 - Springer
The construction industry has traditionally been characterised by the high diversity of its
agents and processes, high resistance to change and low incorporation of technology …
agents and processes, high resistance to change and low incorporation of technology …
Data acquisition-interpretation-aggregation for dynamic design of rock tunnel support
During the rock tunnel construction, one of the critical aspects lies on the support design to
secure the construction safety. Due to the extreme complex underground geological and …
secure the construction safety. Due to the extreme complex underground geological and …
[HTML][HTML] Machine learning-based classification of rock discontinuity trace: SMOTE oversampling integrated with GBT ensemble learning
This paper presents a hybrid ensemble classifier combined synthetic minority oversampling
technique (SMOTE), random search (RS) hyper-parameters optimization algorithm and …
technique (SMOTE), random search (RS) hyper-parameters optimization algorithm and …
Automated extraction and evaluation of fracture trace maps from rock tunnel face images via deep learning
This paper proposes an image-based method for automated rock fracture segmentation and
fracture trace quantification. It is integrated using a CNN-based model named FraSegNet, a …
fracture trace quantification. It is integrated using a CNN-based model named FraSegNet, a …
A critical review of automated extraction of rock mass parameters using 3D point cloud data
This paper presents a comprehensive review aimed at gaining insights into the current state
of research on quantification technology used for acquiring three-dimensional (3D) point …
of research on quantification technology used for acquiring three-dimensional (3D) point …
Discontinuity interpretation and identification of potential rockfalls for high-steep slopes based on UAV nap-of-the-object photogrammetry
W Wang, W Zhao, B Chai, J Du, L Tang, X Yi - Computers & Geosciences, 2022 - Elsevier
Discontinuity extraction and interpretation of fractured masses is of high importance when
analyzing rock slope stability. Regarding high-steep slopes, which are areas that are difficult …
analyzing rock slope stability. Regarding high-steep slopes, which are areas that are difficult …
Multi-source data driven method for assessing the rock mass quality of a NATM tunnel face via hybrid ensemble learning models
Current assessments of rock mass quality of a NATM tunnel face are important in the
practice of tunnel excavation. This study establishes a multi-source database and proposes …
practice of tunnel excavation. This study establishes a multi-source database and proposes …
Towards semi-automatic discontinuity characterization in rock tunnel faces using 3D point clouds
Searching for an efficient and reliable method to reduce manual intervention and subjective
parameter selection during the discontinuity characterization process of rock tunnel faces is …
parameter selection during the discontinuity characterization process of rock tunnel faces is …
Rapid photogrammetry with a 360-degree camera for tunnel mapping
Structure-from-Motion Multi-View Stereo (SfM-MVS) photogrammetry is a viable method to
digitize underground spaces for inspection, documentation, or remote mapping. However …
digitize underground spaces for inspection, documentation, or remote mapping. However …
Image-based segmentation and quantification of weak interlayers in rock tunnel face via deep learning
In this paper, an advanced integrated pixel-level method based on the deep convolutional
neural network (DCNN) approach named DeepLabv3+ is proposed for weak interlayers …
neural network (DCNN) approach named DeepLabv3+ is proposed for weak interlayers …