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41.
Seyyed Mohammad Mousavi Amir Hossein Alavi Ali Mollahasani Amir Hossein Gandomi 《Engineering Geology》2011,123(4):324
In this study, new empirical equations were developed to predict the soil deformation moduli utilizing a hybrid method coupling genetic programming and simulated annealing, called GP/SA. The proposed models relate secant (Es), unloading (Eu) and reloading (Er) moduli obtained from plate load–settlement curves to the basic soil physical properties. Several models with different combinations of the influencing parameters were developed and checked to select the best GP/SA models. The database used for developing the models was established upon a series of plate load tests (PLT) conducted on different soil types at various depths. The validity of the models was tested using parts of the test results that were not included in the analysis. The validation of the models was further verified using several statistical criteria. A traditional GP analysis was performed to benchmark the GP/SA models. The contributions of the parameters affecting Es, Eu and Er were analyzed through a sensitivity analysis. The proposed models are able to estimate the soil deformation moduli with an acceptable degree of accuracy. The Es prediction model has a remarkably better performance than the models developed for predicting Eu and Er. The simplified formulations for Es, Eu and Er provide significantly better results than the GP-based models and empirical models found in the literature. 相似文献
42.
New empirical models were developed to predict the soil deformation moduli using gene expression programming (GEP). The principal soil deformation parameters formulated were secant (Es) and reloading (Er) moduli. The proposed models relate Es and Er obtained from plate load-settlement curves to the basic soil physical properties. The best GEP models were selected after developing and controlling several models with different combinations of the influencing parameters. The experimental database used for developing the models was established upon a series of plate load tests conducted on different soil types at depths of 1–24 m. To verify the applicability of the derived models, they were employed to estimate the soil moduli of a part of test results that were not included in the analysis. The external validation of the models was further verified using several statistical criteria recommended by researchers. A sensitivity analysis was carried out to determine the contributions of the parameters affecting Es and Er. The proposed models give precise estimates of the soil deformation moduli. The Es prediction model provides considerably better results in comparison with the model developed for Er. The simplified formulation for Es significantly outperforms the empirical equations found in the literature. The derived models can reliably be employed for pre-design purposes. 相似文献
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方玉树 《中国地质灾害与防治学报》2011,22(4):89-95
当前的建筑边坡岩体分类不含外倾软弱结构面控制的边坡和倾倒崩塌型破坏的边坡,把岩体完整程度、结构面结合程度、结构面产状、岩石坚硬程度和地下水发育程度作为分类因素。对这种分类及其应用存在的问题进行了分析。研究表明,这个分类在分类规律、分类对象、分类因素等方面均不合理,也没有实际意义,已有的关于岩体性状的通用分类和专用于边坡的单因素分类对于边坡工程已经够用。提出了取消专用于边坡的岩体综合分类的建议。 相似文献
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通过对黑河日径流量变化规律的探索,重点论述最大李雅普诺夫指数的确定方法,计算结果表明:黑河日径流量时间序列的最大李雅普诺夫指数为0.002012,大于零,可以判定黑河日径流量时间序列具有混沌特性. 相似文献
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根据南黄海中部海底沉积物柱状样的实验室土工试验测试结果,分析沉积物的物理特征,并通过实验室方法获得沉积物压缩波速,探讨物理参数与压缩波速的相关关系,得到经验公式。结果表明:该区域沉积物以淤泥和淤泥质黏土为主,具有含水率高、孔隙比大、塑限高等特征;物理参数与压缩波速之间有较好的相关关系,密度、孔隙比、含水率、塑限、液限及塑性指数与压缩波速的相关性最明显,其中,密度与压缩波速成正比相关关系,而孔隙比、含水率、塑限、液限和塑性指数与压缩波速成反比相关关系;以沉积物天然密度和塑性指数为自变量的双变量回归分析方程能更好地表达沉积物物理特性与压缩波速的相关关系。 相似文献