Distributed fiber optic sensing and Informer-LSTM prediction for damage evolution of asphalt concrete under freeze–thaw cycling

IF 3.9 3区 工程技术 Q2 CONSTRUCTION & BUILDING TECHNOLOGY
Xuebing Zhang, Jia Wang, Jun Cao, Yang Quan, Luoqing Liu, Kenxuan Wen, Ping Xiang
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Abstract

In this study, distributed fiber optic sensing together with deep learning frameworks was developed to accurately capture the strain distribution characteristics of asphalt concrete under different conditions. As the performance and damage evolution of asphalt concrete in low-temperature environments have garnered increasing attention, the effects of freeze–thaw cycles on crack evolution in asphalt concrete were investigated under various test conditions, such as saturated versus unsaturated states and elevated versus reduced temperatures. The informer and long short-term memory (Informer-LSTM) networks time series prediction model was proposed to predict the strain state of the specimen across both temporal and spatial dimensions. The results indicate that the distributed fiber optic sensor effectively monitors local damage during the freeze–thaw cycles of the trabeculae and identifies the location of cracks. Furthermore, the Informer-LSTM model accurately captures and predicts strain distribution at the cracks, indicating the superior robustness and adaptability of the parallel time-series prediction model. This research significantly contributes to improving the durability and safety of pavement structures, providing a scientific foundation for assessing the durability and safety of road infrastructure.

冻融循环作用下沥青混凝土损伤演变的分布式光纤传感和Informer-LSTM预测
本研究将分布式光纤传感与深度学习框架相结合,准确捕捉沥青混凝土在不同条件下的应变分布特征。随着沥青混凝土在低温环境下的性能和损伤演化受到越来越多的关注,冻融循环对沥青混凝土裂缝演化的影响在不同的试验条件下进行了研究,如饱和与非饱和状态、升高与降低温度。提出了基于信息和长短期记忆(informer - lstm)网络的时间序列预测模型,从时间和空间两个维度对试件的应变状态进行预测。结果表明,分布式光纤传感器能够有效地监测冻融循环过程中小梁的局部损伤,识别裂缝的位置。此外,Informer-LSTM模型能够准确捕获和预测裂缝处的应变分布,表明该模型具有较好的鲁棒性和自适应性。该研究对提高路面结构的耐久性和安全性具有重要意义,为道路基础设施的耐久性和安全性评估提供了科学依据。
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来源期刊
Materials and Structures
Materials and Structures 工程技术-材料科学:综合
CiteScore
6.40
自引率
7.90%
发文量
222
审稿时长
5.9 months
期刊介绍: Materials and Structures, the flagship publication of the International Union of Laboratories and Experts in Construction Materials, Systems and Structures (RILEM), provides a unique international and interdisciplinary forum for new research findings on the performance of construction materials. A leader in cutting-edge research, the journal is dedicated to the publication of high quality papers examining the fundamental properties of building materials, their characterization and processing techniques, modeling, standardization of test methods, and the application of research results in building and civil engineering. Materials and Structures also publishes comprehensive reports prepared by the RILEM’s technical committees.
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