基于地表响应的地铁列车诱发建筑物振动混合预测方法

IF 4.9 2区 工程技术 Q1 ENGINEERING, CIVIL
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引用次数: 0

摘要

地铁列车诱发浅基础建筑物振动的数值模拟和理论方法往往存在成本高、预测精度不稳定、重要参数不明确等问题。因此,本文提出了一种基于地表振动水平的混合预测方法,以快速获得与地铁相邻的浅基础建筑物的振动特性。首先利用数值模拟获得了不同工况下地铁列车引起的浅基础建筑振动。然后,结合地铁沿线土壤和建筑物振动的现场测量数据,建立并重新训练了混合模型。最后,探讨了以不同数量的测量点作为输入层的混合模型的预测精度,并进行了案例研究。结果表明,在浅基础建筑参数中,对地铁列车引起的建筑振动影响最明显的是建筑跨度的长度。考虑到计算效率和精度,建议将地表振动水平的三个测量点作为混合模型输入层的训练集数据。随着数据集的增加,混合模型的预测精度逐渐提高,与传统模型相比,完全训练后的混合模型在整个频率范围内的表现更加稳定,其大部分预测结果都在 90% 的置信区间内,这为简化地铁列车诱发建筑振动的分析和快速预测提供了可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A hybrid methodology for the prediction of subway train-induced building vibrations based on the ground surface response

The numerical simulation and theoretical methods for the subway train-induced vibration of the shallow foundation buildings often suffer from high cost, unstable prediction accuracy, and lack of clarity of important parameters. Therefore, a hybrid prediction method based on the Z-vibration level at the ground surface was proposed to rapidly obtain the vibration characteristics of the shallow foundation building adjacent to the subway. The numerical simulation was first used to obtain the subway train-induced vibration of the shallow foundation building under different working conditions. Then, a hybrid model was established and retrained by combining the field measurement data of the soil and building vibration along the subway line. Finally, the prediction accuracy of the hybrid model with different numbers of measurement points as input layers was explored, and a case study was performed. The results show that the most noticeable effect on subway train-induced building vibration is the length of the building span among the shallow foundation building parameters. Three measurement points of the Z-vibration level at the ground surface are suggested as the training set data for the input layer of the hybrid model in consideration of computational efficiency and accuracy. The prediction accuracy of the hybrid model gradually increases as the number of data sets increases, and the fully trained hybrid model performs more stable across the frequency range compared to the traditional model, with the majority of its predictions in the 90% confidence interval, which provides the possibility of simplifying the analysis and fast prediction of subway train-induced building vibration.

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来源期刊
Transportation Geotechnics
Transportation Geotechnics Social Sciences-Transportation
CiteScore
8.10
自引率
11.30%
发文量
194
审稿时长
51 days
期刊介绍: Transportation Geotechnics is a journal dedicated to publishing high-quality, theoretical, and applied papers that cover all facets of geotechnics for transportation infrastructure such as roads, highways, railways, underground railways, airfields, and waterways. The journal places a special emphasis on case studies that present original work relevant to the sustainable construction of transportation infrastructure. The scope of topics it addresses includes the geotechnical properties of geomaterials for sustainable and rational design and construction, the behavior of compacted and stabilized geomaterials, the use of geosynthetics and reinforcement in constructed layers and interlayers, ground improvement and slope stability for transportation infrastructures, compaction technology and management, maintenance technology, the impact of climate, embankments for highways and high-speed trains, transition zones, dredging, underwater geotechnics for infrastructure purposes, and the modeling of multi-layered structures and supporting ground under dynamic and repeated loads.
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