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首页> 外文期刊>Arabian journal of geosciences >Nomographs for predicting allowable bearing capacity and elastic settlement of shallow foundation on granular soil
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Nomographs for predicting allowable bearing capacity and elastic settlement of shallow foundation on granular soil

机译:用于预测允许造粒容量和弹性沉降的粒状土壤

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摘要

Prediction of allowable bearing capacity of granular soil requires an intensive field investigation program. This research proposes empirical correlations to predict the allowable bearing capacity and elastic settlement of shallow foundation on granular soils. The current correlation using only standard penetration blow count number and soil unit weight an estimation of the bearing capacity can be attained. Such correlations can be used at the preliminary stage of estimating the allowable bearing capacity and elastic settlement of shallow foundation on granular soils and can help site engineers make immediate decisions in cases of field variations given in soil reports. Moreover, it can be used to create a map for the country in basis of the allowable bearing capacity based on few soil parameters. In this study, database of granular soil properties obtained from 650 boreholes collected from various locations in Sharjah, United Arab Emirates, were used to develop the governing predictive equations. Multiple regression analyses were conducted to develop mathematical models and nomographic solutions to predict the allowable bearing capacity and elastic settlement of shallow foundation. Following development of predictive equations, a set of data collected from 40 boreholes and 20 zone load tests was used to verify validity of the predictive model. The results indicated that the nomographs could effectively predict allowable bearing capacity within +/- 15% confidence interval and the elastic settlement within +/- 10%.
机译:粒状土壤允许承载能力的预测需要密集的现场调查计划。本研究提出了经验相关性,以预测粒状土壤浅埋壳体的允许轴承能力和弹性沉降。目前使用仅使用标准渗透吹奏数和土单位重量的相关性可以获得轴承能力的估计。这种相关性可以在估计粒状土壤允许轴承容量和浅基础上的允许轴承容量和弹性沉降的初步阶段中,可以帮助现场工程师在土壤报告中给出的田间变化的情况下立即决定。此外,它可用于基于少量土壤参数的允许轴承能力为国家创建地图。在本研究中,使用从阿拉伯联合酋长国沙迦各地收集的650个钻孔中获得的粒状土壤性质数据库,用于发展管理预测方程。进行多元回归分析,以开发数学模型和制图解决方案,以预测浅基础的允许轴承容量和弹性沉降。在启动预测方程之后,使用从40个钻孔和20个区域负载测试收集的一组数据来验证预测模型的有效性。结果表明,该素仪可以有效地预测+/- 15%置信区间内的允许承载能力和+/- 10%的弹性沉降。

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