9791221502893_114.pdf

The objective of this paper is to develop a semi-automatic method for constructing a practical finite element model from point cloud data of an entire span of a through-type steel truss bridge. In the first step, we introduced practical finite element models for truss bridges based on structural exp...

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Γλώσσα:English
Έκδοση: Firenze University Press 2024
Διαθέσιμο Online:https://books.fupress.com/doi/capitoli/979-12-215-0289-3_114
id oapen-20.500.12657-89130
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spelling oapen-20.500.12657-891302024-04-03T02:23:55Z Chapter Construction of a Practical Finite Element Model from Point Cloud Data for an Existing Steel Truss Bridge Hidaka, Nao Hashimoto, Naofumi Nonaka, Tetsuya Obata, Makoto Magoshi, Kazuya Watanabe, Ei Point Cloud Fiber-based model Steel Truss Bridge Structural Analysis Model Semi-Automatic Method thema EDItEUR::U Computing and Information Technology The objective of this paper is to develop a semi-automatic method for constructing a practical finite element model from point cloud data of an entire span of a through-type steel truss bridge. In the first step, we introduced practical finite element models for truss bridges based on structural experiments and numerical analyses of a sway bracing located at the end support. We also proposed a basic method for semi-automatically constructing a finite element model of a sway bracing using point cloud data. This method was then extended for an entire of steel truss bridge. The point cloud data is converted to individual data structures which, in turn, are connected to construct a whole structure. The main members, such as upper chords, lower chords, and diagonals, are converted to fiber-based models by automatically creating central axis lines and cross-sections from the point cloud. The slab is converted to shell models by obtaining surfaces and thickness from the point cloud. The effectiveness of the proposed method was confirmed by comparing the analysis results from the finite element model manually created from the design drawing (drawing-model) with those obtained from the model generated by this method (point-cloud-model). The proposed method is more efficient than reading drawings and creating the models manually, and it was confirmed that the point-cloud-model shows response values close to those of the drawing-model within the design load. However, the reproducibility of the response values with more than the design load remains an issue, which can be solved by tuning plate thickness 2024-04-02T15:47:27Z 2024-04-02T15:47:27Z 2023 chapter ONIX_20240402_9791221502893_99 2704-5846 9791221502893 https://library.oapen.org/handle/20.500.12657/89130 eng Proceedings e report application/pdf n/a 9791221502893_114.pdf https://books.fupress.com/doi/capitoli/979-12-215-0289-3_114 Firenze University Press 10.36253/979-12-215-0289-3.114 10.36253/979-12-215-0289-3.114 bf65d21a-78e5-4ba2-983a-dbfa90962870 9791221502893 137 12 Florence open access
institution OAPEN
collection DSpace
language English
description The objective of this paper is to develop a semi-automatic method for constructing a practical finite element model from point cloud data of an entire span of a through-type steel truss bridge. In the first step, we introduced practical finite element models for truss bridges based on structural experiments and numerical analyses of a sway bracing located at the end support. We also proposed a basic method for semi-automatically constructing a finite element model of a sway bracing using point cloud data. This method was then extended for an entire of steel truss bridge. The point cloud data is converted to individual data structures which, in turn, are connected to construct a whole structure. The main members, such as upper chords, lower chords, and diagonals, are converted to fiber-based models by automatically creating central axis lines and cross-sections from the point cloud. The slab is converted to shell models by obtaining surfaces and thickness from the point cloud. The effectiveness of the proposed method was confirmed by comparing the analysis results from the finite element model manually created from the design drawing (drawing-model) with those obtained from the model generated by this method (point-cloud-model). The proposed method is more efficient than reading drawings and creating the models manually, and it was confirmed that the point-cloud-model shows response values close to those of the drawing-model within the design load. However, the reproducibility of the response values with more than the design load remains an issue, which can be solved by tuning plate thickness
title 9791221502893_114.pdf
spellingShingle 9791221502893_114.pdf
title_short 9791221502893_114.pdf
title_full 9791221502893_114.pdf
title_fullStr 9791221502893_114.pdf
title_full_unstemmed 9791221502893_114.pdf
title_sort 9791221502893_114.pdf
publisher Firenze University Press
publishDate 2024
url https://books.fupress.com/doi/capitoli/979-12-215-0289-3_114
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