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Global Sensitivity Analysis of Slope Stability Considering Effective Rainfall with Analytical Solutions SCIE
期刊论文 | 2025 , 17 (2) | WATER
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Abstract :

Rainfall-induced landslides are widely distributed in many countries. Rainfall impacts the hydraulic dynamics of groundwater and, therefore, slope stability. We derive an analytical solution of slope stability considering effective rainfall based on the Richards equation. We define effective rainfall as the total volume of rainfall stored within a given range of the unsaturated zone during rainfall events. The slope stability at the depth of interest is provided as a function of effective rainfall. The validity of analytical solutions of system states related to effective rainfall, for infinite slopes of a granite residual soil, is verified by comparing them with the corresponding numerical solutions. Additionally, three approaches to global sensitivity analysis are used to compute the sensitivity of the slope stability to a variety of factors of interest. These factors are the reciprocal of the air-entry value of the soil alpha, the thickness of the unsaturated zone L, the cohesion of soil c, the internal friction angle phi related to the effective normal stress, the slope angle beta, the unit weights of soil particles gamma(s), and the saturated hydraulic conductivity K-s. The results show the following: (1) The analytical solutions are accurate in terms of the relative differences between the analytical and the numerical solutions, which are within 5.00% when considering the latter as references. (2) The temporal evolutions of the shear strength of soil can be sequentially characterized as four periods: (i) strength improvement due to the increasing weight of soil caused by rainfall infiltration, (ii) strength reduction controlled by the increasing pore water pressure, (iii) strength reduction due to the effect of hydrostatic pressure in the transient saturation zone, and (iv) stable strength when all the soil is saturated. (3) The large alpha corresponds to high effective rainfall. (4) The factors ranked in descending order of sensitivity are as follows: alpha > L > c > beta > gamma(s) > K-s > phi.

Keyword :

analytic solution analytic solution effective rainfall effective rainfall global sensitivity analysis global sensitivity analysis shear strength shear strength slope stability slope stability

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GB/T 7714 Xia, Chuan-An , Zhang, Jing-Quan , Wang, Hao et al. Global Sensitivity Analysis of Slope Stability Considering Effective Rainfall with Analytical Solutions [J]. | WATER , 2025 , 17 (2) .
MLA Xia, Chuan-An et al. "Global Sensitivity Analysis of Slope Stability Considering Effective Rainfall with Analytical Solutions" . | WATER 17 . 2 (2025) .
APA Xia, Chuan-An , Zhang, Jing-Quan , Wang, Hao , Jian, Wen-Bin . Global Sensitivity Analysis of Slope Stability Considering Effective Rainfall with Analytical Solutions . | WATER , 2025 , 17 (2) .
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Global Sensitivity Analysis of Slope Stability Considering Effective Rainfall with Analytical Solutions Scopus
期刊论文 | 2025 , 17 (2) | Water (Switzerland)
Global Sensitivity Analysis of Slope Stability Considering Effective Rainfall with Analytical Solutions EI
期刊论文 | 2025 , 17 (2) | Water (Switzerland)
Reduced-order Monte Carlo simulation framework for groundwater flow in randomly heterogeneous composite transmissivity fields SCIE
期刊论文 | 2025 , 651 | JOURNAL OF HYDROLOGY
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Abstract :

We develop a reduced-order modeling strategy aimed at providing numerical Monte Carlo simulations of groundwater flow in randomly heterogeneous transmissivity fields. We rely on moment equations for groundwater flow and conduct space reductions for both transmissivity, T , and hydraulic head, h . A truncated singular value decomposition (SVD) solver is employed to cope with the ill-conditioned stiffness matrix caused by (negative and thus) unphysical values of T that might arise due to possible low accuracy stemming from the order of model reduction. The performance of the approach is assessed through the analysis of various synthetic reference scenarios. These encompass diverse degrees of heterogeneity of the transmissivity field and various values of reduced-order dimensions, n and m , associated with h and T , respectively. Transmissivity is conceptualized as a composite (spatial) random field where there is uncertainty in the locations of regions associated with diverse geomaterials as well as in the heterogeneity of transmissivity therein. Our results are also compared against their counterparts that one could obtain upon performing a model reduction solely on the basis of hydraulic heads. Our findings show that: (i) resting on the truncated SVD solver is beneficial for coping with ill- conditioned stiffness matrices; (ii) the two model reduction strategies provide comparable solution accuracy for m >= 5n, while (iii) the computational cost associated with the reduced-order model based on space reduction for both T and h is always significantly smaller than that associated with space reduction based solely on h .

Keyword :

Groundwater Groundwater Moment equations Moment equations Monte Carlo simulation Monte Carlo simulation Reduced-order model Reduced-order model Truncated singular value decomposition Truncated singular value decomposition

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GB/T 7714 Xia, Chuan-An , Wang, Hao , Jian, Wenbin et al. Reduced-order Monte Carlo simulation framework for groundwater flow in randomly heterogeneous composite transmissivity fields [J]. | JOURNAL OF HYDROLOGY , 2025 , 651 .
MLA Xia, Chuan-An et al. "Reduced-order Monte Carlo simulation framework for groundwater flow in randomly heterogeneous composite transmissivity fields" . | JOURNAL OF HYDROLOGY 651 (2025) .
APA Xia, Chuan-An , Wang, Hao , Jian, Wenbin , Riva, Monica , Guadagnini, Alberto . Reduced-order Monte Carlo simulation framework for groundwater flow in randomly heterogeneous composite transmissivity fields . | JOURNAL OF HYDROLOGY , 2025 , 651 .
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Reduced-order Monte Carlo simulation framework for groundwater flow in randomly heterogeneous composite transmissivity fields Scopus
期刊论文 | 2025 , 651 | Journal of Hydrology
Reduced-order Monte Carlo simulation framework for groundwater flow in randomly heterogeneous composite transmissivity fields EI
期刊论文 | 2025 , 651 | Journal of Hydrology
干湿循环下煤矸石土石混合体大型直剪试验研究
期刊论文 | 2025 , 44 (2) , 331-341 | 岩石力学与工程学报
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煤炭开挖和选煤过程中产生大量煤矸石,堆积于地表的煤矸石易受到环境的影响引发灾害.目前,干湿循环条件下煤矸石土石混合体的强度特性研究较少.通过大型直剪试验,探究干湿循环和含石量对煤矸石土石混合体强度特性的作用机制;揭示含石量(RP)和干湿循环次数对土石混合体积变化及相对破碎率(rB)的影响规律;建立干湿循环下土石混合体抗剪强度劣化方程.试验结果表明,随着含石量的提高,煤矸石土石混合体的内摩擦角呈现线性增加,而黏聚力则呈现出下降趋势;煤矸石土石混合体在剪切过程中呈现明显的剪切收缩现象;煤矸石土石混合体的剪切强度和法向应变最大值随着含石量的增加而增加,并随着干湿循环次数的增加而减小.首次干湿循环对土石混合体的抗剪强度劣化作用显著,3 次干湿循环后土石混合体抗剪强度变化不明显;干湿循环加剧了土石混合体中岩块的破碎趋势,提高岩块的 rB,导致土壤颗粒含量(粒径<5 mm)增加.高法向应力下(nσ=800 kPa),rB 随干湿循环次数增加而提高,而低法向应力下(nσ=200 kPa)干湿循环对岩块破碎影响有限.

Keyword :

剪切强度 剪切强度 土石混合体 土石混合体 岩石力学 岩石力学 干湿循环 干湿循环 煤矸石 煤矸石 相对破碎率 相对破碎率

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GB/T 7714 刘红位 , 游诗琪 , 简文彬 et al. 干湿循环下煤矸石土石混合体大型直剪试验研究 [J]. | 岩石力学与工程学报 , 2025 , 44 (2) : 331-341 .
MLA 刘红位 et al. "干湿循环下煤矸石土石混合体大型直剪试验研究" . | 岩石力学与工程学报 44 . 2 (2025) : 331-341 .
APA 刘红位 , 游诗琪 , 简文彬 , 黄云 , 冯嵩 , 邓涛 . 干湿循环下煤矸石土石混合体大型直剪试验研究 . | 岩石力学与工程学报 , 2025 , 44 (2) , 331-341 .
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滑坡对降雨入渗的响应研究
期刊论文 | 2025 , 39 (1) , 86-92 | 土工基础
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福建省降雨型滑坡频发,揭示由降雨引发的滑坡失稳演化及其规律对研究福建省地质灾害形成机理及风险预警判据具有重要意义.以福建省福州市永泰县后亭滑坡为研究对象,建立数值模型并辅以现场监测数据,研究降雨作用下滑坡渗流场变化及其稳定性响应.研究表明:①强降雨下滑坡形成局部高负孔压区,并使水流向该区域汇集,土体含水率响应与降雨呈正相关,响应及时;②强降雨下滑坡稳定性系数迅速降低,雨后恢复,但恢复速率远小于下降速率,且无法恢复到初始值;③干湿循环后土体强度下降,由此引起同条件下的滑坡稳定性下降,故在多个降雨周期后,其稳定性可能下降致使产生滑坡;④强降雨下,地表位移稳步增长,并在雨后由于水分下渗,仍存在一定增长.

Keyword :

干湿循环 干湿循环 数值模拟 数值模拟 滑坡稳定性 滑坡稳定性 降雨 降雨

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GB/T 7714 章德生 , 简文彬 , 夏昌 . 滑坡对降雨入渗的响应研究 [J]. | 土工基础 , 2025 , 39 (1) : 86-92 .
MLA 章德生 et al. "滑坡对降雨入渗的响应研究" . | 土工基础 39 . 1 (2025) : 86-92 .
APA 章德生 , 简文彬 , 夏昌 . 滑坡对降雨入渗的响应研究 . | 土工基础 , 2025 , 39 (1) , 86-92 .
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Enhancing Landslide Detection: A Novel LA-YOLO Model for Rainfall-Induced Shallow Landslides SCIE
期刊论文 | 2025 , 22 | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
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Abstract :

As a geological disaster widely distributed in the southern regions of China, rainfall-induced shallow landslides pose a significant threat to affected areas. Timely detection of landslides is crucial in the effective response to such disasters. However, landslide detection faces adverse impacts from various factors, such as insufficient sample data, complex model structures, and limitations in detection accuracy during the actual detection process. In this study, high-quality image samples were collected from multiple landslide disaster areas in southern China, and a rainfall-induced shallow landslide sample database was constructed in the region. Based on this, a lightweight attention-guided YOLO model (LA-YOLO) was proposed to improve the detection performance of YOLO model for rainfall-induced shallow landslides. First, CG block is introduced to enhance the C2f module, enriching the feature representation capability through multiscale feature fusion and reducing the model's parameters and computational complexity. Second, the SimAM attention module is used to focus on the target regions, improving feature extraction effectiveness. Experimental results show that the model parameters of LA-YOLO were reduced by approximately 30%, with precision, recall, and mean average precision (mAP) on the landslide sample dataset increasing by 2.6%, 0.7%, and 2.2%, respectively. While ensuring model detection performance, the model structure was significantly optimized, achieving both lightweight and accuracy goals, confirming the model's superiority in monitoring rainfall-induced shallow landslide disasters.

Keyword :

Accuracy Accuracy Attention mechanism Attention mechanism Biological system modeling Biological system modeling context guidance module context guidance module Data models Data models Disasters Disasters Feature extraction Feature extraction landslide detection landslide detection Neurons Neurons Rain Rain rainfall-induced shallow landslide rainfall-induced shallow landslide Terrain factors Terrain factors Training Training YOLO YOLO YOLO v8 YOLO v8

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GB/T 7714 Wang, Lin , Lei, Henggang , Jian, Wenbin et al. Enhancing Landslide Detection: A Novel LA-YOLO Model for Rainfall-Induced Shallow Landslides [J]. | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS , 2025 , 22 .
MLA Wang, Lin et al. "Enhancing Landslide Detection: A Novel LA-YOLO Model for Rainfall-Induced Shallow Landslides" . | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 22 (2025) .
APA Wang, Lin , Lei, Henggang , Jian, Wenbin , Wang, Wenjia , Wang, Hao , Wei, Nan . Enhancing Landslide Detection: A Novel LA-YOLO Model for Rainfall-Induced Shallow Landslides . | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS , 2025 , 22 .
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Enhancing Landslide Detection: A Novel LA-YOLO Model for Rainfall-Induced Shallow Landslides Scopus
期刊论文 | 2025 , 22 | IEEE Geoscience and Remote Sensing Letters
Enhancing Landslide Detection: A Novel LA-YOLO Model for Rainfall-Induced Shallow Landslides Scopus
期刊论文 | 2025 | IEEE Geoscience and Remote Sensing Letters
Enhancing Landslide Detection: A Novel LA-YOLO Model for Rainfall-Induced Shallow Landslides EI
期刊论文 | 2025 , 22 | IEEE Geoscience and Remote Sensing Letters
Degradation of the mechanical properties of root-soil composites under moisture influence SCIE
期刊论文 | 2025 , 84 (3) | BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
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Although the root can enhance the soil's strength, vegetation cover landslide still occurs frequently under the rainfall. To elucidate the mechanism underlying the degradation of the shear strength of root-soil composites under the influence of moisture, we investigated trees from hilly slopes in southeastern China. The tensile mechanical properties of roots were tested under varying moisture conditions.The results of previous work on the friction characteristics of the root-soil interface under different soil water content were also considered. Furthermore, large-scale direct shear tests were performed to assess the strength characteristics of root-soil composites under different root cross-sectional area ratios (RAR) and moisture contents. Based on the widely used Wu model, and incorporating the failure modes of roots in root-soil composites and the mechanism of root-soil interface friction, a root-soil composite strength degradation model was established considering the effects of moisture. Moisture significantly affected the tensile strength of fine tree roots, with the tensile strength of fine roots being lower in the saturated state than in the fresh state. In contrast, coarse roots were almost unaffected by moisture. As the moisture content increased, the additional strength provided by the roots decreased, and the root efficiency (REp) decreased significantly. The model was validated against experimental data, and the calculated results were accurate. In root-soil composites, as moisture infiltrates, the tensile strength of the roots, soil shear strength, and root-soil interface shear strength decrease to different degrees. This results in reduced resistance to deformation in the root-soil composites, leading to a decrease in its strength.

Keyword :

Moisture content Moisture content Root reinforcement Root reinforcement Root-soil interface friction Root-soil interface friction Root tensile strength Root tensile strength Strength degradation model Strength degradation model

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GB/T 7714 Lin, Yunzhao , Jian, Wenbin , Wu, Yilong et al. Degradation of the mechanical properties of root-soil composites under moisture influence [J]. | BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT , 2025 , 84 (3) .
MLA Lin, Yunzhao et al. "Degradation of the mechanical properties of root-soil composites under moisture influence" . | BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT 84 . 3 (2025) .
APA Lin, Yunzhao , Jian, Wenbin , Wu, Yilong , Zhu, Zuteng , Wang, Hao , Dou, Hongqiang et al. Degradation of the mechanical properties of root-soil composites under moisture influence . | BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT , 2025 , 84 (3) .
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Degradation of the mechanical properties of root–soil composites under moisture influence Scopus
期刊论文 | 2025 , 84 (3) | Bulletin of Engineering Geology and the Environment
Degradation of the mechanical properties of root–soil composites under moisture influence EI
期刊论文 | 2025 , 84 (3) | Bulletin of Engineering Geology and the Environment
Characteristics of preferential flow suffosion of soil-rock interface in spherical weathered granite slopes EI CSCD PKU
期刊论文 | 2024 , 45 (4) , 950-960 | Rock and Soil Mechanics
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Abstract :

Due to rainfall, the soil-rock differential weathering interface of spherical weathered granite soil slopes is prone to evolve into a dominant seepage channel and undergo seepage suffosion, which accelerates the deformation and instability of these slopes. However, little research has been carried out on the characteristics of seepage suffosion and the migration of fine particles. Based on the unsaturated seepage theory of porous media, a numerical calculation framework is established to accurately describe the seepage suffosion process at the soil-rock interface, considering the coupling relationship between the fine particle migration, suffosion initiation response and unsaturated seepage. The finite element method is used to construct a seepage suffosion model for unsaturated granite residual soil under the effect of dominant flow. Based on the seepage suffosion process of homogeneous soil columns, the suffosion characteristics of dominant flow under three typical soil-rock interface burial states are systematically investigated. The results show that the soil-rock interface and the matrix permeability of spherical weathered granite soil slopes are highly variable, with the wetting front forming a downward depression infiltration funnel, and the degree of depression of the wetting front becomes more pronounced as rainfall continues. The degree of fine particle loss is related to the burial state of the soil-rock interface, in which the dominant flow potential suffosion of the under-filled soil condition is the most significant, and even excess pore water pressure occurs at the interface, which is the most unfavorable to the stability of this type of slope. The research results can provide a scientific basis for accurately evaluating the stability of spherical weathered granite soil slopes under rainfall conditions. © 2024 Biodiversity Research Center Academia Sinica. All rights reserved.

Keyword :

Biodiversity Biodiversity Finite element method Finite element method Groundwater flow Groundwater flow Interface states Interface states Porous materials Porous materials Rain Rain Seepage Seepage Slope stability Slope stability Soils Soils Spheres Spheres Wetting Wetting

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GB/T 7714 Hong-Qiang, Dou , Sen-Hua, Xie , Wen-Bin, Jian et al. Characteristics of preferential flow suffosion of soil-rock interface in spherical weathered granite slopes [J]. | Rock and Soil Mechanics , 2024 , 45 (4) : 950-960 .
MLA Hong-Qiang, Dou et al. "Characteristics of preferential flow suffosion of soil-rock interface in spherical weathered granite slopes" . | Rock and Soil Mechanics 45 . 4 (2024) : 950-960 .
APA Hong-Qiang, Dou , Sen-Hua, Xie , Wen-Bin, Jian , Hao, Wang , Chao-Xu, Guo . Characteristics of preferential flow suffosion of soil-rock interface in spherical weathered granite slopes . | Rock and Soil Mechanics , 2024 , 45 (4) , 950-960 .
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Characteristics of preferential flow suffosion of soil-rock interface in spherical weathered granite slopes
期刊论文 | 2024 , 45 (4) , 950-960 | ROCK AND SOIL MECHANICS
Characteristics of preferential flow suffosion of soil-rock interface in spherical weathered granite slopes; [球状风化花岗岩类土质边坡土-岩界面优势流潜蚀特性研究] Scopus CSCD PKU
期刊论文 | 2024 , 45 (4) , 950-960 | Rock and Soil Mechanics
基于现场原型测试的乔木覆盖滑坡区根-土复合体力学性能研究
期刊论文 | 2024 , (11) | 岩土力学
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Abstract :

为揭示乔木根系力学特性及其对斜坡的力学效应,选取福建武平高植被覆盖区滑坡为研究点,对研究区典型乔木根系按径级分类后进行根系抗拉力学特性测试,并在滑坡现场进行不同RAR(根系横截面积比)、含水率下的根-土复合体原位直剪试验以及剖面根系分布特征调查,对根系在浅层滑坡的力学效应展开探究。研究结果表明:1. 1-7径级下马尾松、杉木抗拉力范围12.45~673.09 N,抗拉力与根径呈幂函数正相关;抗拉强度范围7.16~60.95 MPa,抗拉强度与根径呈幂函数负相关。杉木根系平均抗拉力与抗拉强度均大于马尾松。2. 乔木根系显著提高了土体抗剪强度,根系对土体提供的附加黏聚力与剪切面RAR显著正相关。杉木根系构型更接近R型,马尾松为VH型,相近RAR下杉木对土体的加固作用优于马尾松。3. 随着含水率增加,马尾松、杉木根-土复合体抗剪强度显著下降,水分入渗使根系对土体提供的附加黏聚力受到削减。4. 基于Wu模型,考虑水分对土体黏聚力与根系附加黏聚力的影响,建立了考虑含水率的根-土复合体抗剪强度值估算模型,经检验精度高于Wu模型,结果较为合理。5. 根系对浅层滑坡虽然具有加固作用,但受到根系分布深度、密度以及降雨等因素限制,强降雨作用下根系对浅层滑坡稳定性贡献具有局限性。

Keyword :

乔木根系 乔木根系 原位直剪 原位直剪 抗拉强度 抗拉强度 根-土复合体 根-土复合体 浅层滑坡 浅层滑坡

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GB/T 7714 林昀昭 , 简文彬 , 赖增荣 et al. 基于现场原型测试的乔木覆盖滑坡区根-土复合体力学性能研究 [J]. | 岩土力学 , 2024 , (11) .
MLA 林昀昭 et al. "基于现场原型测试的乔木覆盖滑坡区根-土复合体力学性能研究" . | 岩土力学 11 (2024) .
APA 林昀昭 , 简文彬 , 赖增荣 , 钟鑫 , 张骏逸 , 夏昌 . 基于现场原型测试的乔木覆盖滑坡区根-土复合体力学性能研究 . | 岩土力学 , 2024 , (11) .
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基于现场原型测试的乔木覆盖滑坡区根-土复合体力学性能研究
期刊论文 | 2024 , 45 (11) , 3423-3434 | 岩土力学
Mechanical properties of Moso bamboo root-soil composite based on field prototype testing; [基于现场原型测试的毛竹根土复合体力学性能研究] Scopus
期刊论文 | 2024 , 33 (5) , 38-47 | Journal of Natural Disasters
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Abstract :

Moso bamboo is widespread in the hilly and mountainous regions of southeastern Fujian. Moso bamboo is extensively distributed across the hilly and mountainous regions of southeastern Fujian. To delve into the unique vegetation Moso bamboo’s root-soil composite and its resistance to pullout and shear forces, as well as its influence on slope stability, we conducted on-site whole Moso bamboo pullout tests and in-situ shear tests using bespoke instruments on Moso bamboo of varying diameters in the landslide-prone area of Zhuangbian Village, Linglu Township, Yongtai County of Fuzhou. A universal testing machine was employed to conduct single-root pullout tests on roots of varying diameters within the on-site root-soil complex. The results reveal that the diameter of Moso bamboo influences its tensile strength during whole-plant pullout tests, with larger diameters exhibiting higher ultimate tensile and shear strengths. Both the Moso bamboo culm and rhizome play a crucial role in resisting pullout forces. Moreover, the diameter of individual Moso bamboo roots shows a linear positive correlation with the ultimate tensile force while tensile strength decreases with increasing root diameter. Regarding shear resistance, there is a positive correlation between Moso bamboo diameter and the shear strength of the root-soil composite. It is of great significance in theoretical and practical implications for analyzing the mechanical properties of Moso bamboo root-soil composite, understanding the mechanisms of geological disasters in Moso bamboo forest slopes, and enhancing the effectiveness of vegetation in slope protection. © 2024 Institute of Engineering Mechanics (IEM). All rights reserved.

Keyword :

Moso bamboo Moso bamboo pullout pullout root root root-soil composite root-soil composite stable slope stable slope

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GB/T 7714 Zhong, X. , Jian, W. , Fan, X. et al. Mechanical properties of Moso bamboo root-soil composite based on field prototype testing; [基于现场原型测试的毛竹根土复合体力学性能研究] [J]. | Journal of Natural Disasters , 2024 , 33 (5) : 38-47 .
MLA Zhong, X. et al. "Mechanical properties of Moso bamboo root-soil composite based on field prototype testing; [基于现场原型测试的毛竹根土复合体力学性能研究]" . | Journal of Natural Disasters 33 . 5 (2024) : 38-47 .
APA Zhong, X. , Jian, W. , Fan, X. , Wu, Y. , Lin, Y. , Zhang, J. . Mechanical properties of Moso bamboo root-soil composite based on field prototype testing; [基于现场原型测试的毛竹根土复合体力学性能研究] . | Journal of Natural Disasters , 2024 , 33 (5) , 38-47 .
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考虑时间滞后的贝叶斯优化长短期记忆网络滑坡土压力预测模型:以福建省南平市公路边坡为例
期刊论文 | 2024 , 24 (29) , 12468-12478 | 科学技术与工程
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Abstract :

公路边坡失稳引发的滑坡等灾害问题对人们的生活影响重大,建立滑坡预测模型对地质灾害防治工作具有重大意义.以福建省南平市公路边坡为例,提出基于贝叶斯优化算法(Bayesian optimization algorithm,BOA)的长短期记忆网络(long short term memory,LSTM)模型,探究土压力变化对边坡稳定性的影响.该模型综合考虑了多个滑坡影响因素的相关性,尤其是各个影响因素之间的时间滞后性,并对滞后时间进行计算.对LSTM模型4个超参数(时间步长、隐藏元数量、迭代次数和批大小)进行自动搜索和寻优,解决了用LSTM模型建立滑坡预测模型时需要手动调参的问题.为了验证该模型的准确性和有效性,将该模型与循环神经网络(recurrent neural network,RNN)、LSTM模型进行对比,以南平市公路边坡土压力的监测数据集作为对照.结果表明:相对于其他两种模型,BOA-LSTM模型的均方误差(mean square error,MSE)、平均绝对误差(mean ab-solute error,MAE)和平均绝对百分比误差(mean absolute percentage error,MAPE)分别降低了 52.4%和 59.9%,28.8%和30.1%,30.2%和29.9%,预测精度从95%左右提高到96.56%,判定系数也更加接近于1,说明该模型可以更加准确地预测土压力的变化,为边坡变形稳定性分析提供有效的数据支撑.

Keyword :

土压力 土压力 贝叶斯优化 贝叶斯优化 边坡变形 边坡变形 边坡稳定性 边坡稳定性 长短期记忆网络 长短期记忆网络

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GB/T 7714 蓝小美 , 聂闻 , 谷潇 et al. 考虑时间滞后的贝叶斯优化长短期记忆网络滑坡土压力预测模型:以福建省南平市公路边坡为例 [J]. | 科学技术与工程 , 2024 , 24 (29) : 12468-12478 .
MLA 蓝小美 et al. "考虑时间滞后的贝叶斯优化长短期记忆网络滑坡土压力预测模型:以福建省南平市公路边坡为例" . | 科学技术与工程 24 . 29 (2024) : 12468-12478 .
APA 蓝小美 , 聂闻 , 谷潇 , 郑文明 , 卢焱保 , 简文彬 . 考虑时间滞后的贝叶斯优化长短期记忆网络滑坡土压力预测模型:以福建省南平市公路边坡为例 . | 科学技术与工程 , 2024 , 24 (29) , 12468-12478 .
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