Evaluation Method for Bearing Capacity of Fine-Grained Soil Subgrade Based on Multiple Moduli

IF 4.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Structural Control & Health Monitoring Pub Date : 2024-11-25 DOI:10.1155/stc/7735960
Danfeng Li, Weichao Liu, Guangming Zhang
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Abstract

The bearing capacity of the existing fine-grained soil subgrade is mainly achieved by measuring the modulus, and its testing methods can be divided into two categories including static method and dynamic method. The data connection between the two is still lacking in systematic research. The traditional BB (Benkelman Beam) static test has disadvantages such as slow detection speed, low accuracy, and poor reliability due to the use of deflection index, which is not fully applicable to the expressway. To this end, dynamic and static comparison tests were carried out and a rapid test method for subgrade bearing capacity based on Soil Stiffness Gauge (SSG) and Portable Falling Weight Deflectometer (PFWD) with dynamic modulus was proposed. To establish the connectivity of the static and dynamic modulus, modulus-dependent prediction model was developed. The results show that the multiplier power model with modulus () is superior to the usual linear model (EBB = 0.9415EPFWD − 6.1507, R2 = 0.9639; EBB = 0.7878ESSG − 0.4566,  R2 = 0.8894), and it can replace the traditional BB method. PFWD and SSG were found to be reliable devices with faster and more accurate monitoring of the modulus change of the fine-grained soil subgrade. But they have the property of overestimating material modulus, the modulus ranking of the three instruments is obtained. In this way, it provides a reference for the dynamic and accurate determination and scientific evaluation of the bearing capacity of the highway subgrade.

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基于多模量的细粒土路基承载力评估方法
现有细粒土路基的承载力主要是通过测量模量来实现的,其测试方法可分为静力法和动力法两类。二者之间的数据联系还缺乏系统的研究。传统的 BB(Benkelman Beam)静态试验由于使用挠度指标,存在检测速度慢、精度低、可靠性差等缺点,并不完全适用于高速公路。为此,开展了动静态对比试验,并提出了基于土体刚度仪(SSG)和便携式落锤式挠度仪(PFWD)动态模量的路基承载力快速测试方法。为了建立静态模量和动态模量之间的联系,建立了模量相关预测模型。结果表明,带模量()的乘数功率模型优于通常的线性模型(EBB = 0.9415EPFWD - 6.1507,R2 = 0.9639;EBB = 0.7878ESSG - 0.4566,R2 = 0.8894),可以取代传统的 BB 方法。研究发现,PFWD 和 SSG 是可靠的设备,能更快、更准确地监测细粒土路基的模量变化。但它们都有高估材料模量的特性,因此得出了三种仪器的模量排序。从而为公路路基承载力的动态准确测定和科学评价提供参考。
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来源期刊
Structural Control & Health Monitoring
Structural Control & Health Monitoring 工程技术-工程:土木
CiteScore
9.50
自引率
13.00%
发文量
234
审稿时长
8 months
期刊介绍: The Journal Structural Control and Health Monitoring encompasses all theoretical and technological aspects of structural control, structural health monitoring theory and smart materials and structures. The journal focuses on aerospace, civil, infrastructure and mechanical engineering applications. Original contributions based on analytical, computational and experimental methods are solicited in three main areas: monitoring, control, and smart materials and structures, covering subjects such as system identification, health monitoring, health diagnostics, multi-functional materials, signal processing, sensor technology, passive, active and semi active control schemes and implementations, shape memory alloys, piezoelectrics and mechatronics. Also of interest are actuator design, dynamic systems, dynamic stability, artificial intelligence tools, data acquisition, wireless communications, measurements, MEMS/NEMS sensors for local damage detection, optical fibre sensors for health monitoring, remote control of monitoring systems, sensor-logger combinations for mobile applications, corrosion sensors, scour indicators and experimental techniques.
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