Multi-domain transfer generation of cavity defect data in asphalt pavements using 3D GPR and 3D forward modeling

IF 9.6 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Peng Wang , Lei Zhang , Yiqiu Tan , Zhen Leng
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引用次数: 0

Abstract

The paucity of GPR data pertaining to cavity defects significantly impedes the advancement of intelligent nondestructive testing methods in pavement engineering. This paper illustrates that heterogeneous forward models of cavity defects, constructed using pseudo-random generation algorithms, exhibit remarkable accuracy in mimicking the electromagnetic responses within asphalt pavement structures. A unified multi-domain transfer learning framework, employing StarGAN, facilitates the cross-domain generation of data representing cavity defects in asphalt pavements. The model effectively suppresses clutter interference, thereby preserving cavity defect characteristics in heterogeneous forward images, while adeptly synthesizing signals conforming to heterogeneous structural properties in homogeneous forward images. Quantitative assessments reveal an exceptionally high degree of similarity between the synthetically generated data and actual samples (LPIPS≈0). The measured cavity defect features generated by StarGAN exhibit high physical regularity and morphological diversity compared to real samples (LPIPS<0.1). This paper introduces a novel approach to data augmentation for GPR applications in asphalt roads.
基于三维探地雷达和三维正演建模的沥青路面空腔缺陷多域传输生成
洞洞缺陷探地雷达数据的缺乏严重阻碍了路面工程中智能无损检测方法的发展。本文表明,采用伪随机生成算法构建的空腔缺陷异质正演模型在模拟沥青路面结构内的电磁响应方面具有显著的准确性。采用StarGAN的统一多域迁移学习框架促进了沥青路面空洞缺陷跨域数据的生成。该模型有效地抑制杂波干扰,从而在非均匀前向图像中保留空腔缺陷特征,同时在非均匀前向图像中巧妙地合成符合非均匀结构特性的信号。定量评估显示,合成生成的数据与实际样本之间的相似性异常高(LPIPS≈0)。与真实样品相比,StarGAN生成的测量腔体缺陷特征表现出高度的物理规律性和形态多样性(LPIPS<0.1)。本文介绍了一种新的沥青路面探地雷达数据增强方法。
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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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