使用基于深度注意力的改进型 Nerfacto 绘制三维像素损伤图

IF 9.6 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Geontae Kim, Youngjin Cha
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引用次数: 0

摘要

结构健康监测领域的最新进展凸显了在数字孪生体上绘制精确三维(3D)损伤图的必要性,这已超越了摄影测量等传统方法,因为传统方法往往难以捕捉错综复杂的平面。针对这一局限,本文提出了一种新的先进三维重建方法,并将其与三维损伤绘图技术相结合。作为三维重建方法,本文开发了基于注意力的修正纳法特(ABM-Nerfacto)模型,并将其与先进的损伤分割方法相结合。以混凝土桥墩的三跨连续桥梁为示例结构,以混凝土裂缝为示例损伤,利用最先进的 STRNet 进行裂缝分割。通过广泛的参数研究和比较评估,证明了所提出的 ABM-Nerfacto 模型可以为该桥梁系统生成高质量的三维重建和相应的损伤映射。这种集成方法为基于三维数字孪生的全面结构健康监测提供了一种前景广阔的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
3D Pixelwise damage mapping using a deep attention based modified Nerfacto
Recent advancements in structural health monitoring have highlighted the necessity for accurate three-dimensional (3D) damage mapping on digital twins, moving beyond traditional methods such as photogrammetry, which frequently struggle to capture intricate planar surfaces. To address this limitation, this paper proposes a new advanced 3D reconstruction method and its integration with 3D damage mapping techniques. As the 3D reconstruction method, an Attention-based Modified Nerfacto (ABM-Nerfacto) model is developed, and is integrated with an advanced damage segmentation method. Using a three-span continuous bridge with concrete piers as an example structure, and concrete cracks as the example damage, the state-of-the-art STRNet is utilized for crack segmentation. Through extensive parametric studies and comparative evaluations, the proposed ABM-Nerfacto model was demonstrated to produce high-quality 3D reconstructions and corresponding damage mappings for this bridge system. This integrated approach provides a promising solution for comprehensive 3D digital twin-based structural health monitoring.
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来源期刊
Automation in Construction
Automation in Construction 工程技术-工程:土木
CiteScore
19.20
自引率
16.50%
发文量
563
审稿时长
8.5 months
期刊介绍: Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities. The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.
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