A Padé-based fast frequency sweep approach for irregular large-scale building models subjected to seismic excitation

Structures ◽  
2021 ◽  
Vol 34 ◽  
pp. 4376-4388
Author(s):  
Humberto Brambila de Salles ◽  
Leandro Fleck Fadel Miguel ◽  
Marcos Souza Lenzi ◽  
Rafael Holdorf Lopez
Keyword(s):  
Large Scale ◽  
Seismic Excitation ◽  
Frequency Sweep ◽  
Building Models

scholarly journals ANALYSIS OF 3D BUILDING MODELS ACCURACY BASED ON THE AIRBORNE LASER SCANNING POINT CLOUDS

2018 ◽  
Vol XLII-2 ◽  
pp. 797-804 ◽  
Author(s):  
W. Ostrowski ◽  
M. Pilarska ◽  
J. Charyton ◽  
K. Bakuła
Keyword(s):  
Point Cloud ◽  
Laser Scanning ◽  
Large Scale ◽  
Point Clouds ◽  
3D Models ◽  
Airborne Laser Scanning ◽  
Aerial Images ◽  
Statistical Parameters ◽  
Airborne Laser ◽  
Building Models

Creating 3D building models in large scale is becoming more popular and finds many applications. Nowadays, a wide term “3D building models” can be applied to several types of products: well-known CityGML solid models (available on few Levels of Detail), which are mainly generated from Airborne Laser Scanning (ALS) data, as well as 3D mesh models that can be created from both nadir and oblique aerial images. City authorities and national mapping agencies are interested in obtaining the 3D building models. Apart from the completeness of the models, the accuracy aspect is also important. Final accuracy of a building model depends on various factors (accuracy of the source data, complexity of the roof shapes, etc.). In this paper the methodology of inspection of dataset containing 3D models is presented. The proposed approach check all building in dataset with comparison to ALS point clouds testing both: accuracy and level of details. Using analysis of statistical parameters for normal heights for reference point cloud and tested planes and segmentation of point cloud provides the tool that can indicate which building and which roof plane in do not fulfill requirement of model accuracy and detail correctness. Proposed method was tested on two datasets: solid and mesh model.

scholarly journals HOLISTIC PARAMETRIC RECONSTRUCTION OF BUILDING MODELS FROM POINT CLOUDS

2020 ◽  
Vol XLIII-B2-2020 ◽  
pp. 689-695
Author(s):  
Z. Li ◽  
W. Zhang ◽  
J. Shan
Keyword(s):  
Large Scale ◽  
Traditional Approach ◽  
Holistic Approach ◽  
Point Clouds ◽  
Airborne Lidar ◽  
Reconstruction Method ◽  
Optimization Strategy ◽  
Building Roof ◽  
Building Model ◽  
Building Models

Abstract. Building models are conventionally reconstructed by building roof points via planar segmentation and then using a topology graph to group the planes together. Roof edges and vertices are then mathematically represented by intersecting segmented planes. Technically, such solution is based on sequential local fitting, i.e., the entire data of one building are not simultaneously participating in determining the building model. As a consequence, the solution is lack of topological integrity and geometric rigor. Fundamentally different from this traditional approach, we propose a holistic parametric reconstruction method which means taking into consideration the entire point clouds of one building simultaneously. In our work, building models are reconstructed from predefined parametric (roof) primitives. We first use a well-designed deep neural network to segment and identify primitives in the given building point clouds. A holistic optimization strategy is then introduced to simultaneously determine the parameters of a segmented primitive. In the last step, the optimal parameters are used to generate a watertight building model in CityGML format. The airborne LiDAR dataset RoofN3D with predefined roof types is used for our test. It is shown that PointNet++ applied to the entire dataset can achieve an accuracy of 83% for primitive classification. For a subset of 910 buildings in RoofN3D, the holistic approach is then used to determine the parameters of primitives and reconstruct the buildings. The achieved overall quality of reconstruction is 0.08 meters for point-surface-distance or 0.7 times RMSE of the input LiDAR points. This study demonstrates the efficiency and capability of the proposed approach and its potential to handle large scale urban point clouds.

Analysis on the Seismic Torsional Response of Large-Scale Aqueduct Body

2012 ◽  
Vol 446-449 ◽  
pp. 2755-2762
Author(s):  
Ping Gao ◽  
De Min Wei ◽  
Meng Hua Xu
Keyword(s):  
Large Scale ◽  
Computational Analysis ◽  
Seismic Excitation ◽  
Simply Supported Beam ◽  
Simply Supported ◽  
Torsional Response ◽  
Torsion Effect ◽  
The Difference

The torsion of the multi-span aqueduct body was studied under the lateral seismic excitation by FSI computational analysis. The results show that the difference of stiffness of both sides has little influence on the torque of the aqueduct body. However, the influence of the torque on both end sections of the aqueduct body is not to be neglected. For the simply-supported beam aqueduct, if the centre moment of the aqueduct is adopted as the controlling condition to design the whole aqueduct body and when the bending-torsion effect is small, the safety of anti-seismic structures can meet the requirements. Otherwise, on the section between the centre section of the aqueduct body and the end slot section, the safety of anti-seismic structures could not meet the requirements.

An Adaptive Multi-Point Fast Frequency Sweep for Large-Scale Finite Element Models

2009 ◽  
Vol 45 (3) ◽  
pp. 1108-1111 ◽  
Author(s):  
A. Schultschik ◽  
O. Farle ◽  
R. Dyczij-Edlinger
Keyword(s):  
Finite Element ◽  
Large Scale ◽  
Finite Element Models ◽  
Frequency Sweep

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

2016 ◽  
Vol III-6 ◽  
pp. 49-55 ◽  
Author(s):  
M. Bassier ◽  
M. Vergauwen ◽  
B. Van Genechten
Keyword(s):  
Laser Scanning ◽  
Large Scale ◽  
Real Life ◽  
Terrestrial Laser Scanning ◽  
Current Data ◽  
Cloud Data ◽  
Architectural Engineering ◽  
Building Models ◽  
Additional Control ◽  
Dense Point

With the increasing popularity of as-built building models for the architectural, engineering and construction (AEC) industry, the demand for highly accurate and dense point cloud data is rising. The current data acquisition methods are labour intensive and time consuming. In order to compete with indoor mobile mapping systems (IMMS), surveyors are now opting to use terrestrial laser scanning as a standalone solution. However, there is uncertainty about the accuracy of this approach. The emphasis of this paper is to determine the scope for which terrestrial laser scanners can be used without additional control. Multiple real life test cases are evaluated in order to identify the boundaries of this technique. Furthermore, this research presents a mathematical prediction model that provides an indication of the data accuracy given the project dimensions. This will enable surveyors to make informed discussions about the employability of terrestrial laser scanning without additional control in mid to large-scale projects.

scholarly journals Size-Adaptive Texture Atlas Generation and Remapping for 3D Urban Building Models

2021 ◽  
Vol 10 (12) ◽  
pp. 798
Author(s):  
Xuequan Zhang ◽  
Wei Liu ◽  
Bing Liu ◽  
Xin Zhao ◽  
Zihe Hu
Keyword(s):  
Large Scale ◽  
Texture Mapping ◽  
Graphics Hardware ◽  
High Fidelity ◽  
Blank Space ◽  
Web Based ◽  
Vertex Number ◽  
Building Model ◽  
Building Models ◽  
Atlas Method

A high-fidelity 3D urban building model requires large quantities of detailed textures, which can be non-tiled or tiled ones. The fast loading and rendering of these models remain challenges in web-based large-scale 3D city visualization. The traditional texture atlas methods compress all the textures of a model into one atlas, which needs extra blank space, and the size of the atlas is uncontrollable. This paper introduces a size-adaptive texture atlas method that can pack all the textures of a model without losing accuracy and increasing extra storage space. Our method includes two major steps: texture atlas generation and texture atlas remapping. First, all the textures of a model are classified into non-tiled and tiled ones. The maximum supported size of the texture is acquired from the graphics hardware card, and all the textures are packed into one or more atlases. Then, the texture atlases are remapped onto the geometric meshes. For the triangle with the original non-tiled texture, new texture coordinates in the texture atlases can be calculated directly. However, as for the triangle with the original tiled texture, it is clipped into many unit triangles to apply texture mapping. Although the method increases the mesh vertex number, the increased geometric vertices have much less impact on the rendering efficiency compared with the method of increasing the texture space. The experiment results show that our method can significantly improve building model rendering efficiency for large-scale 3D city visualization.

Oblique Aerial Image Acquisition, 3D City Modeling, 3D City Guide Project for Konya Metropolitan Municipality

2019 ◽  
pp. 1371-1385
Author(s):  
Tuncer Ozerbıl ◽  
Ergun Gokten ◽  
Mustafa Onder ◽  
Osman Selcuk ◽  
Nilhan Ciftci Sarılar ◽  
...  
Keyword(s):  
Large Scale ◽  
Image Acquisition ◽  
Spatial Database ◽  
3D Models ◽  
Aerial Image ◽  
Oracle Spatial ◽  
Building Models ◽  
City Modeling ◽  
Oblique Images ◽  
First Time

Usage of aerial oblique cameras and oblique images in generation of 3D city models has become popular all over the world in recent years and various solutions has been developed involving specialized methods and softwares. The first comprehensive step in this field was taken by Konya Metropolitan Municipality in Turkey in 2012 and the project undertaken by GEOGIS has been successfully completed in February 2014. It is the first time in Turkey that 3D city model of this large scale has been generated. The project involves: Aerial image acquisition of the project area with vertical and oblique cameras respectively and photogrammetric triangulation; Development of OttoPenta software, which can display oblique images in pentaview screen, make spatial queries and also can measure the horizontal, vertical distance and area; Digitization of roof and roof structures from vertical stereo images using photogrammetric interpretation techniques and generation of 3D solid building models using this data; Assigning building ID numbers to solid models to integrate with the GIS data of the Municipality that is available in Oracle Spatial database; Automatic texturing of 3D models with oblique images; Exporting of textured 3D models into Oracle Spatial Database in CityGML format, complying the OGC standards; and development of KNVCity software, to create and publish the 3D city guide on WEB and mobile devices. The goal of this paper is sharing the experience and knowledge that was gained during the 3D City modeling and 3D city guide project which was performed for the first time in Turkey.

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