| 基于BP模型的粗粒亚硫酸盐渍土盐胀特性敏感因素研究 |
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| 引用本文： | 张莎莎1,刘瑞瑞1,王永威2. 基于BP模型的粗粒亚硫酸盐渍土盐胀特性敏感因素研究[J]. 建筑科学与工程学报, 2021, 0(3): 107-116. DOI: 10.19815/j.jace.2020.08062 |
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| 作者姓名： | 张莎莎1 刘瑞瑞1 王永威2 |
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| 作者单位： | (1. 长安大学 公路学院,陕西 西安 710064; 2. 中交第二航务工程局有限公司技术中心,湖北 武汉 430040) |
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| 摘 要： | 为了探究影响粗粒亚硫酸盐渍土路基盐胀特征的敏感参数,提出相关的敏感参数量化分析模型及交互作用下各因素的量化指标。针对细粒土质砾亚硫酸盐渍土、含细粒土砂(细粒土质量分数15%)亚硫酸盐渍土及细粒土质砂(细粒土质量分数50%)亚硫酸盐渍土3类土样,基于单因素试验结果,依据二次回归正交设计方法,开展多因素交互作用下的盐胀试验,通过BP神经网络模型建立3种粗粒亚硫酸盐渍土的盐胀率与其他影响因素间的计算模型,确定了粗粒亚硫酸盐渍土盐胀敏感参数的量化指标。结果表明:含盐量与含水率、上覆荷载与含水率的交互作用对细粒土质砾亚硫酸盐渍土的盐胀作用较显著,含盐量与含水率、上覆荷载与含盐量的交互作用对细粒土质砂亚硫酸盐渍土的盐胀作用较显著; 上覆荷载对粗粒亚硫酸盐渍土具有较强的抑制作用; 初始压实度对粗粒亚硫酸盐渍土盐胀率具有一定的促进作用,但由于其特殊的级配特征,试验所设压实度在89%～97%内对盐胀率的影响效果较小; 所得结论可以为采用粗粒亚硫酸盐渍土作为路基填料进行工程设计与施工提供技术参考。
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| 关 键 词： | 路基工程 粗粒亚硫酸盐渍土 BP神经网络模型 敏感参数 |
Research on Sensitive Parameters of Salt Expansion Characteristics for Coarse-grained Sulfite Saline Soil Based on BP Model |
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| ZHANG Sha-sha1,LIU Rui-rui1,WANG Yong-wei2. Research on Sensitive Parameters of Salt Expansion Characteristics for Coarse-grained Sulfite Saline Soil Based on BP Model[J]. Journal of Architecture and Civil Engineering, 2021, 0(3): 107-116. DOI: 10.19815/j.jace.2020.08062 |
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| Authors: | ZHANG Sha-sha1 LIU Rui-rui1 WANG Yong-wei2 |
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| Affiliation: | (1. School of Highway, Chang'an University, Xi'an 710064, Shaanxi, China; 2. CCCC Second Harbour Engineering Co., Ltd National Enterprise Technology Center, Wuhan 430040, Hubei, China) |
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| Abstract: | In order to determine the sensitive parameters of embankment deformation behavior for coarse-grained sulfate saline soil, the quantitative analysis model of the correlation sensitive parameters and the quantitative indexes of the interaction between the factors of coarse-grained sulfate saline soil were proposed. Aimed at three types of soil samples, including gravel sulfite saline soil, sandy soil-I(fine-grained soil content is 15%)sulfite saline soil, sandy soil-II(fine-grained soil content is 50%)sulfite saline soil, based on the single factor salt expansion test results, the salt expansion tests under the interaction of multiple factors were performed with the orthogonal design method. The calculation model between salt expansion rate and other relevant influence factors of three coarse-grained sulfite saline soil was established through BP neural network model. The quantitative indexes of sensitive parameters for the deformation behavior of coarse-grained sulfite saline soil were studied. The results show that the interaction of salt content and water content, overburden load and water content has a significant effect on salt expansion of gravel sulfite saline soil. The interaction of salt content and water content, overburden load and salt content has a significant effect on salt expansion of sandy soil-II sulfite saline soil. The overburden load has a strong inhibitory effect on coarse-grained sulfite saline soil. The initial compaction degree has a certain effect on the salt expansion rate, due to its special gradation characteristics, the degree of compaction set by the experiment(from 89% to 97%)has little effect on the salt expansion rate. The results can provide a technical reference for engineering design and construction using coarse-grained sulfite soil as subgrade filling. |
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| Keywords: | road engineering coarse-grained sulfite saline soil BP neural network model sensitive parameter |
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