Computers and Geotechnics最新文献_第6页

Probabilistic reliability assessment method for max ground settlement prediction of subway tunnel under uncertain construction information 不确定施工信息下地铁隧道最大地面沉降预测的概率可靠性评估方法

IF 5.3 1区工程技术

Computers and Geotechnics Pub Date : 2024-10-12 DOI: 10.1016/j.compgeo.2024.106805

Yangyang Chen , Wen Liu , Demi Ai , Hongping Zhu , Yanliang Du

{"title":"Probabilistic reliability assessment method for max ground settlement prediction of subway tunnel under uncertain construction information","authors":"Yangyang Chen , Wen Liu , Demi Ai , Hongping Zhu , Yanliang Du","doi":"10.1016/j.compgeo.2024.106805","DOIUrl":"10.1016/j.compgeo.2024.106805","url":null,"abstract":"<div><div>Ground settlement resulting from shield tunnelling in densely populated areas has a significant impact on the surrounding environment, while accurate prediction of max ground settlement (MGS) is challenging under uncertain construction conditions. This paper investigates the vine copula probabilistic dependence approach for MGS predictions with incomplete information. A Monte Carlo simulation framework is established to incorporates vine copula analysis for eight identified soil parameters. Finite element (FE) method was used to model construction tunnels with different parameters and determine the MGS induced by excavation. The modelling results were used to construct six MGS base learners, which were created using six machine learning models combined with hybrid particle swarm optimisation (PSO) and gravity search algorithms (GSA). The integrated learning model combined six distinct base learners to generate a <em>meta</em>-learner. Improved hybrid GSA and PSO leveraged the global search capabilities of PSO and the local search abilities of GSA to optimize the integrated learning model. The FE model and <em>meta</em>-model predictions of MGS were validated using twelve uncertain input parameters. The results suggested that the hybrid GSA and PSO enhanced the precision of regression in the integrated learning model, and the resulting <em>meta</em>-model improved the reliability of MGS predictions in situations with uncertain information.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Study on the heat transfer characteristics of cemented backfill heat exchangers with a horizontally penetrating rough fracture under groundwater advection 地下水平流条件下具有水平贯通粗糙断裂的胶结回填热交换器的传热特性研究

IF 5.3 1区工程技术

Computers and Geotechnics Pub Date : 2024-10-11 DOI: 10.1016/j.compgeo.2024.106792

Rui Zhan, Bo Zhang, Lang Liu, Chao Huan, Yujiao Zhao, Xiaoyan Zhang, Xueli Wang

{"title":"Study on the heat transfer characteristics of cemented backfill heat exchangers with a horizontally penetrating rough fracture under groundwater advection","authors":"Rui Zhan, Bo Zhang, Lang Liu, Chao Huan, Yujiao Zhao, Xiaoyan Zhang, Xueli Wang","doi":"10.1016/j.compgeo.2024.106792","DOIUrl":"10.1016/j.compgeo.2024.106792","url":null,"abstract":"<div><div>One of the most effective methods for geothermal energy extraction in deep mine stopes is the installation of heat exchange tubes within cemented backfill bodies. However, the complex underground environment can cause fracture in the backfill, which may negatively affect the geothermal extraction performance, especially in the presence of groundwater flow. This study establishes a three-dimensional seepage and heat transfer coupling model of cemented backfill heat exchangers with horizontal penetrating rough fractures via a finite element software platform. The model employs the Monte Carlo method combined with linear filtering to generate a rough fracture. The findings demonstrate that for fracture apertures ranging from 0 to 0.3 mm, the predominant mechanism of heat transfer is thermal conduction, with a negligible contribution from groundwater flow. However, as apertures expand from 0.3 mm to 2 mm, groundwater flow significantly enhances heat transfer, stabilizing beyond 2 mm. Increased fracture roughness at a 0.2 mm aperture does not enhance the heat recovery performance of the heat exchange tubes, but at a 4 mm aperture, a strong positive correlation between roughness and heat transfer is observed. Thus, narrow fractures can be treated as smooth, whereas roughness must be considered for wider fractures. The interaction between fracture flow and Darcy seepage increases with increasing groundwater hydraulic head, resulting in a notable improvement in the heat extraction performance of the heat exchange tube. When the relative position transitions from 0.75 °C to 0 °C, the outlet water temperature of the heat exchanger tube increases by approximately 9 °C.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Permeability characteristics and empirical prediction of cementitious soil rock mixtures based on numerical experiments of mesostructure 基于中观结构数值实验的水泥基土岩混合物的渗透性特征和经验预测

IF 5.3 1区工程技术

Computers and Geotechnics Pub Date : 2024-10-10 DOI: 10.1016/j.compgeo.2024.106813

Jiang Hai-yan , Wang Sheng-nian , Gao Xinqun , Wu Zhi-jian , Li Mingwei , Gu Leilei

{"title":"Permeability characteristics and empirical prediction of cementitious soil rock mixtures based on numerical experiments of mesostructure","authors":"Jiang Hai-yan , Wang Sheng-nian , Gao Xinqun , Wu Zhi-jian , Li Mingwei , Gu Leilei","doi":"10.1016/j.compgeo.2024.106813","DOIUrl":"10.1016/j.compgeo.2024.106813","url":null,"abstract":"<div><div>Due to material composition and structure effects, the permeability characteristics of cementitious soil rock mixtures (CSRMs) significantly differ from homogeneous rock and soil mass, and the great discreteness in limited indoor or in-situ experimental data has always shown up. This study established the stochastic mesostructure models of CSRMs with a self-developed modeling technology. Their saturated and unsaturated seepage parameters were determined by laboratory tests. Then, saturated and unsaturated numerical seepage simulations of CSRMs were carried out. The influences of rock block content, occurrence, shape, and permeability difference in soil and rock mass on their permeability coefficient were investigated. The empirical permeability coefficient prediction formulas about influencing factors were discussed. The results showed that the seepage characteristics of CSRMs conformed to Darcy’s law. Their permeability coefficient decreased first and then increased with the rock block content, and they achieved the minimum value when it was about 40 %. Their permeability coefficient increased with the rock block inclination and decreased with the aspect ratio of rock blocks. When the difference of soil and rock mass in permeability coefficient exceeded 1 × 10<sup>3</sup> in magnitude, their permeability coefficient should be mainly controlled by the side with the large permeability. Three empirical permeability prediction formulas for CSRMs were proposed. This study could provide theoretical and methodological references for the permeability cognition of CSRMs.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mesoscopic representation of conventional concrete and rock-filled concrete: A novel FEM-SBFEM coupled approach 传统混凝土和岩石填充混凝土的介观表示：新型 FEM-SBFEM 耦合方法

IF 5.3 1区工程技术

Computers and Geotechnics Pub Date : 2024-10-10 DOI: 10.1016/j.compgeo.2024.106820

Weichi Xu, Yuande Zhou, Yutai Guo, Feng Jin

{"title":"Mesoscopic representation of conventional concrete and rock-filled concrete: A novel FEM-SBFEM coupled approach","authors":"Weichi Xu, Yuande Zhou, Yutai Guo, Feng Jin","doi":"10.1016/j.compgeo.2024.106820","DOIUrl":"10.1016/j.compgeo.2024.106820","url":null,"abstract":"<div><div>A thorough characterization of the mesostructure of concrete serves as a fundamental cornerstone for investigating its complex mechanical response at the mesoscale. A coupled FEM-SBFEM (Finite element method − scaled boundary finite element method) model is developed for mesoscopic modeling of conventional concrete (CC) and rock-filled concrete (RFC). This model incorporates a novel RAM (Random Aggregate Model) generation procedure based on Laguerre tessellation, allowing for the construction of coarse polyhedral aggregates with diverse grading schemes and adjustable aggregate volume fractions. Moreover, a framework has been developed for the automatic generation of prelaid rock skeletons, which accurately encapsulate the distinctive self-sustaining skeletal characteristics inherent to RFC. In a departure from conventional FEM, the SBFEM in this approach discretizes each coarse aggregate using a singular polyhedral element, resulting in a significant reduction in degrees of freedom. The proposed mesoscopic construction method is adopted for the prediction of elastic properties for both CC and RFC. Numerical samples of 48 CC specimens and 13 RFC specimens, with various aggregate volume fractions and rockfill ratios, are constructed using Monte Carlo simulations, and the results are compared with experimental and numerical data in literature. Statistical analyses are performed to investigate the impacts of aggregate volume fraction and anisotropic behavior on the elastic properties of CC and RFC. The results demonstrate that RFC exhibited an elastic modulus approximately 7.32 % higher than CC at the same coarse aggregate volume fractions. Furthermore, RFC exhibits a more substantial degree of anisotropy than CC. The proposed FEM-SBFEM coupled approach presents the capability to accurately predict the elastic behavior of concrete materials, and can be extended for a comprehensive investigation of the linear and nonlinear properties of actual RFC that comprises extremely coarse aggregates.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

RDT-FragNet: A DCN-Transformer network for intelligent rock fragment recognition and particle size distribution acquisition RDT-FragNet：用于智能岩石碎块识别和粒度分布采集的 DCN 变压器网络

IF 5.3 1区工程技术

Computers and Geotechnics Pub Date : 2024-10-10 DOI: 10.1016/j.compgeo.2024.106809

Mingze Li , Ming Chen , Wenbo Lu , Fengze Zhao , Peng Yan , Jie Liu

{"title":"RDT-FragNet: A DCN-Transformer network for intelligent rock fragment recognition and particle size distribution acquisition","authors":"Mingze Li , Ming Chen , Wenbo Lu , Fengze Zhao , Peng Yan , Jie Liu","doi":"10.1016/j.compgeo.2024.106809","DOIUrl":"10.1016/j.compgeo.2024.106809","url":null,"abstract":"<div><div>Accurately and promptly identifying rock fragments and particle size distribution after blasting is crucial for rock transportation and aggregate control in hydraulic and hydropower engineering. Manual screening and traditional edge detection methods suffer from subjectivity and inefficiency, resulting in considerable processing time. Images of rock fragments post-blasting, captured in open-air conditions, present challenges due to overlapping fragments, complicating intelligent recognition. To address this, an instance segmentation model, RDT-FragNet, is designed for rock fragment segmentation. RDT-FragNet is a hybrid model that integrates the Deformable Convolutional Network (DCN) and the Transformer Attention Mechanism (TAM). The DCN-Transformer structure adaptively preserves global and local features, enhancing the segmentation and recognition of rock fragment edges. Comparative analyses and rigorous ablation studies demonstrate RDT-FragNet’s competitive advantages. RDT-FragNet outperforms other advanced models in both quantitative metrics and visual results. The visualization results and the characteristic and maximum particle size of rock fragments closely match the actual situation. The robustness and applicability of the RDT-FragNet model are validated using images from two additional engineering projects. This research introduces an intelligent, efficient, and objective method for rock fragment analysis in open-air settings.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel hybrid PD-FEM-FVM approach for simulating hydraulic fracture propagation in saturated porous media 模拟饱和多孔介质中水力压裂传播的新型 PD-FEM-FVM 混合方法

IF 5.3 1区工程技术

Computers and Geotechnics Pub Date : 2024-10-10 DOI: 10.1016/j.compgeo.2024.106821

Daosheng Zhang , Zongqing Zhou , Chenglu Gao , Panpan Gai , Xiaochu Chen , Jinbo Chen , Fanlin Bu

{"title":"A novel hybrid PD-FEM-FVM approach for simulating hydraulic fracture propagation in saturated porous media","authors":"Daosheng Zhang , Zongqing Zhou , Chenglu Gao , Panpan Gai , Xiaochu Chen , Jinbo Chen , Fanlin Bu","doi":"10.1016/j.compgeo.2024.106821","DOIUrl":"10.1016/j.compgeo.2024.106821","url":null,"abstract":"<div><div>To enhance the computational efficiency of fluid–solid coupling in peridynamics (PD), a hybrid modeling approach based on the classical Biot theory is proposed for simulating hydraulic crack propagation in saturated porous media. The deformation and damage of solids are described by the coupling of the finite element method (FEM) and PD. Based on Darcy’s law, the finite volume method (FVM) is used to describe fluid seepage and calculate pore water pressure. The mutual transfer of fluid pressure and solid deformation is realized through the transition layer between the solid layer and the fluid layer. Firstly, the effectiveness of the proposed method is verified by a porous media seepage simulation example. Secondly, the ability and efficiency of this method to simulate crack propagation in saturated porous media are verified by several examples of hydraulic fracturing of rock with a single pre-existing crack. Finally, the synchronous hydraulic fracturing process of rock with double cracks is simulated. The ability of this method to simulate the simultaneous propagation of multiple fractures in the rock under fluid–solid coupling is further illustrated. The aforementioned studies demonstrate that the novel hybrid PD-FEM-FVM approach not only ensures computational accuracy and effectiveness but also significantly enhances computational efficiency.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multiscale data-driven modeling of transient deposition physics of dense granular flows 多尺度数据驱动的致密颗粒流瞬态沉积物理学建模

IF 5.3 1区工程技术

Computers and Geotechnics Pub Date : 2024-10-10 DOI: 10.1016/j.compgeo.2024.106825

Mohammad Nikooei, Clarence Edward Choi, Jiaqi Zhang

{"title":"Multiscale data-driven modeling of transient deposition physics of dense granular flows","authors":"Mohammad Nikooei, Clarence Edward Choi, Jiaqi Zhang","doi":"10.1016/j.compgeo.2024.106825","DOIUrl":"10.1016/j.compgeo.2024.106825","url":null,"abstract":"<div><div>Geophysical flows involving granular masses exhibit complex dynamics with transient mass and momentum changes due to deposition. Geophysical flows are typically simulated using depth-averaged (DA) models, which rely on empirical closures for deposition. However, these models typically overlook the detailed grain-scale physics involved in deposition, treating the flow as an equivalent fluid at the macro-scale. This study introduces a multiscale framework to integrate grain-scale deposition physics into macro-scale DA models without relying on empirical closures. The framework utilizes a surrogate model, trained on discrete element modeling (DEM) datasets, to capture changes in effective flow depth. This surrogate model is integrated with a DA model to create a multiscale approach, improving the deposition physics within an efficient computational framework. The effectiveness of the proposed multiscale framework is assessed by studying how a granular mass, initially in motion, settles when the slope angle is suddenly reduced to zero. Predictions from the multiscale model of effective flow depth (i.e., not including deposited material) and DA velocity are compared with DEM results. It is demonstrated that the proposed framework has potential to streamline upscaling simulations and facilitate field-scale hazard assessments in the future.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comprehensive multivariate joint distribution model for marine soft soil based on the vine copula 基于藤状协约的海洋软土综合多变量联合分布模型

IF 5.3 1区工程技术

Computers and Geotechnics Pub Date : 2024-10-10 DOI: 10.1016/j.compgeo.2024.106814

Xiaohua Bao , Junhong Li , Jun Shen , Xiangsheng Chen , Cong Zhang , Hongzhi Cui

{"title":"Comprehensive multivariate joint distribution model for marine soft soil based on the vine copula","authors":"Xiaohua Bao , Junhong Li , Jun Shen , Xiangsheng Chen , Cong Zhang , Hongzhi Cui","doi":"10.1016/j.compgeo.2024.106814","DOIUrl":"10.1016/j.compgeo.2024.106814","url":null,"abstract":"<div><div>In this study, we propose a multivariate joint distribution model for marine soft soil using D-vine copula function. The model is based on detailed investigation data from a tunnel constructed in marine soft soil. The variation patterns of the mechanical and physical parameters of quaternary marine–land interaction sedimentary soft soil layers were analysed. First, a comprehensive database of marine soft soils was established on the basis of detailed field investigation data. The variability and correlations among the physical and mechanical performance indices of the soft soil were then analysed. Subsequently, optimal marginal functions for nine soil parameters were proposed on the basis of the fitting characteristics of the physical and mechanical performance parameters of the soft soil. Finally, 15 copula functions were used to establish a multivariate joint distribution model of the D-vine copula function for marine soft soil, and the effectiveness of the model was verified. This model offers flexibility for constructing multivariate joint distributions tailored to various characteristics of the correlation structure by leveraging several bivariate correlation structures. It can provide an effective method for accurately delineating the features of the correlation structure among multivariate geotechnical parameters and establishing a probabilistic transformation model for marine soft soil parameters.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Coupled vibratory roller and layered unsaturated subgrade model for intelligent compaction 用于智能压实的振动压路机和分层非饱和路基耦合模型

IF 5.3 1区工程技术

Computers and Geotechnics Pub Date : 2024-10-10 DOI: 10.1016/j.compgeo.2024.106827

Chuxuan Tang , Zheng Lu , Lang Qin , Tingzhou Yan , Jian Li , Yang Zhao , Yu Qiu

{"title":"Coupled vibratory roller and layered unsaturated subgrade model for intelligent compaction","authors":"Chuxuan Tang , Zheng Lu , Lang Qin , Tingzhou Yan , Jian Li , Yang Zhao , Yu Qiu","doi":"10.1016/j.compgeo.2024.106827","DOIUrl":"10.1016/j.compgeo.2024.106827","url":null,"abstract":"<div><div>To provide theoretical guidance for intelligent compaction, this study proposes an efficient analytical model that considers the coupled dynamic interaction between a vibratory roller and a layered subgrade. The vibratory roller is simulated using a lumped parameter model, while the subgrade is characterized as a layered unsaturated poroelastic medium. The governing equations are solved using the double Fourier transform to derive the steady-state solution of this fully coupled model. The correctness of the proposed model is verified by comparing it with published analytical results and field test results. Results indicate that the vertical acceleration response of the roller drum is sensitive to variations in subgrade modulus. However, when evaluating the modulus of the current filling layer, it is crucial to consider the effects of the underlying layer on the acceleration response of the roller drum, especially when the existing subgrade thickness is less than 2 m. The influence of excitation frequency on the sensitivity of vertical acceleration response is found to be significant. For subgrade quality assessment with existing subgrade thickness less than 2 m, a low-frequency excitation load is recommended to maximize sensitivity, while both low and high excitation frequencies can be employed for thicker existing subgrades.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A unified soil reaction model for laterally loaded monopiles in soft and stiff clays 软粘土和硬粘土中横向加载单桩的统一土壤反力模型

IF 5.3 1区工程技术

Computers and Geotechnics Pub Date : 2024-10-09 DOI: 10.1016/j.compgeo.2024.106819

Xiuyang Zhang , Degao Zou , Jingmao Liu , Kai Chen , Fanwei Ning , Tianju Wang

{"title":"A unified soil reaction model for laterally loaded monopiles in soft and stiff clays","authors":"Xiuyang Zhang , Degao Zou , Jingmao Liu , Kai Chen , Fanwei Ning , Tianju Wang","doi":"10.1016/j.compgeo.2024.106819","DOIUrl":"10.1016/j.compgeo.2024.106819","url":null,"abstract":"<div><div>To develop a unified soil reaction model suitable for laterally loaded monopiles in soft and stiff clays, this paper employs an experimentally validated numerical method to analyze the influence of diameter, embedded length (<em>L</em>), and clay types (soft or stiff) on the soil reaction model, proposing a unified model based on hyperbolic soil reaction curve. This model fully considers the contributions of distributed lateral load, base moment, base shear force, and distributed moment to the lateral resistance. The results of the analysis indicate that the ultimate normalized lateral soil resistance (<span><math><mrow><msub><mover><mrow><mi>p</mi></mrow><mrow><mo>¯</mo></mrow></mover><mi>u</mi></msub></mrow></math></span>) of soft and stiff clays in the wedge flow zone increases with depth, reaching a peak in the full flow zone with the peak points located around 0.5 <em>L</em>. The maximum of <span><math><mrow><msub><mover><mrow><mi>p</mi></mrow><mrow><mo>¯</mo></mrow></mover><mi>u</mi></msub></mrow></math></span> between soft and stiff clays is positively correlated with the ratio of effective vertical stress to undrained shear strength (<span><math><mrow><msubsup><mi>σ</mi><mrow><mtext>v</mtext></mrow><mo>′</mo></msubsup><mo>/</mo><msub><mi>s</mi><mi>u</mi></msub></mrow></math></span>) at the current depth. The ultimate base shear force and base moment for monopiles in soft and stiff clays can also be represented by <span><math><mrow><msubsup><mi>σ</mi><mrow><mtext>v</mtext></mrow><mo>′</mo></msubsup><mo>/</mo><msub><mi>s</mi><mi>u</mi></msub></mrow></math></span> at the base. Through rigorous validation with centrifuge and field tests, the unified soil reaction model proposed in this paper can accurately predict the response of monopiles in soft and stiff clays.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0