Soils and Foundations最新文献_第10页

Effect of deep mixed column pattern on the performance of basal reinforced embankment resting on soft soil 深层混合柱模式对软土基础加筋路堤性能的影响

IF 3.3 2区工程技术 Q2 ENGINEERING, GEOLOGICAL

Soils and Foundations

Pub Date : 2025-02-10 DOI: 10.1016/j.sandf.2025.101578

Sujata Fulambarkar, Bappaditya Manna, J.T. Shahu

The deep mixing method (DMM) a soil solidification technique, involves mechanically blending the natural soft soil with a binder to create stiffer soil columns or panel walls, enhancing stability in soft ground areas. In this study, different configurations of deep mixed (DM) columns with a consistent area ratio were tested under vertical loading. Various column patterns, including Square Group Columns (SGC), Longitudinal Tangent Wall (LTW), Transverse Tangent Wall (TTW), and Tangent Grid (TG), were evaluated for their response to stress-settlement, the heaving of the soft clay, and the lateral deformation of the embankment slope. Particle Image Velocimetry (PIV) was employed to analyse ground deformation during the tests. The results show that the LTW pattern has the least, while the TG pattern has the maximum heaving of soft soil and lateral deformation of the embankment slope. The LTW pattern showed the most significant strength improvement, while the TG pattern demonstrated the least enhancement in strength compared to the other patterns. A post-examination of the deformed column was conducted to understand the column failure pattern, and it was noted that the DM column primarily experienced failure due to tilting and bending, indicating that these columns did not fully mobilize their shear strength.

深层混合法（DMM）是一种土壤固化技术，它将天然软土与粘合剂机械混合，形成更硬的土柱或板墙，提高软土地区的稳定性。在竖向荷载作用下，对具有相同面积比的不同配置深度混合柱进行了试验研究。对方柱群（SGC）、纵向切线墙（LTW）、横向切线墙（TTW）和切线网格（TG）等不同柱型对应力沉降、软土隆起和路堤边坡侧向变形的响应进行了评价。采用粒子图像测速法（PIV）对试验过程中的地面变形进行了分析。结果表明：LTW模式对软土的隆起和路堤边坡的侧向变形影响最小，而TG模式对路堤边坡的侧向变形影响最大；与其他模式相比，LTW模式的强度提高最为显著，而TG模式的强度提高最少。对变形柱进行了事后检查，以了解柱的破坏模式，并指出DM柱主要是由于倾斜和弯曲而发生破坏，这表明这些柱没有充分发挥其抗剪强度。

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引用次数: 0

Mechanical properties and microscopic research of different types of bentonite in conjunction with cement and fine sand 不同类型膨润土与水泥、细砂复合的力学性能及细观研究

IF 3.3 2区工程技术 Q2 ENGINEERING, GEOLOGICAL

Soils and Foundations

Pub Date : 2025-02-04 DOI: 10.1016/j.sandf.2025.101573

Zheyuan Feng , Zhibo Zhang , Qiang Tang , Yu Zhou

This study delves into the mechanical properties and mechanisms of bentonite-modified cement soil, a reinforced material formed through the physicochemical reactions of cement, soil, and water. Recognizing the material’s widespread application in foundation treatment, slope reinforcement, and seepage control, alongside the environmental pressures of cement production, this research explores the potential of bentonite as a partial cement substitute. Through indoor unconfined compressive strength and permeability tests, varied by curing age, bentonite type, and mix ratio, the study assesses the impact of these factors on the material’s performance. Microscopic analyses further elucidate the intrinsic mechanisms at play. Key findings include: a non-linear relationship between bentonite content and modified cement soil strength, with sodium-based bentonite enhancing strength more effectively than calcium-based; a significant reduction in permeability coefficient with increased bentonite content, particularly with sodium-based bentonite; and a detailed examination of the material’s microstructure, revealing the critical role of cement and bentonite content in pore reduction and strength enhancement. The study underscores the paramount influence of cement content on both strength and permeability, proposing a prioritized framework for optimizing modified cement soil’s performance.

膨润土是一种通过水泥、土壤和水的物理化学反应形成的增强材料，本研究深入研究了膨润土改性水泥土的力学特性和机理。考虑到这种材料在基础处理、边坡加固和防渗方面的广泛应用，以及水泥生产带来的环境压力，本研究探索了膨润土作为部分水泥替代品的潜力。通过室内无侧限抗压强度和渗透性测试，根据养护年龄、膨润土类型和混合比例的不同，研究评估了这些因素对材料性能的影响。微观分析进一步阐明了起作用的内在机制。主要发现包括：膨润土含量与改性水泥土强度之间存在非线性关系，其中钠基膨润土比钙基膨润土更能有效提高改性水泥土强度；随着膨润土含量的增加，渗透系数显著降低，特别是钠基膨润土；并对材料的微观结构进行了详细的研究，揭示了水泥和膨润土含量在减少孔隙和增强强度方面的关键作用。该研究强调了水泥含量对强度和渗透性的重要影响，并提出了优化改性水泥土性能的优先框架。

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引用次数: 0

Robust optimization of stabilizing piles for landslides composed of soil–rock mixtures 土石混合体滑坡稳定桩的鲁棒性优化

IF 3.3 2区工程技术 Q2 ENGINEERING, GEOLOGICAL

Soils and Foundations

Pub Date : 2025-02-04 DOI: 10.1016/j.sandf.2025.101574

Yang Yu , Songlin Liu , Qing Lü

Colluvial landslides are mainly composed of soil–rock mixtures with complex composition and structure, resulting in large uncertainties in mechanical properties. This leads to difficulties in designing stabilizing piles for colluvial landslides. In this study, we derive a predictive model for the ultimate lateral force of stabilizing piles in soil–rock mixtures, and use it to evaluate the factor of safety of a pile-stabilized colluvial landslide. Subsequently, robust geotechnical design is employed to optimize the design of the stabilizing piles. The design robustness is measured by the variation of failure probability, an approach which can overcome difficulties in characterizing uncertainties in soil–rock mixture mechanical properties. Accordingly, we propose a robust design procedure for stabilizing piles for colluvial landslides. The design method and procedure are illustrated using a real colluvial landslide case study, out of which the most preferred design considering the safety, cost, and design robustness is obtained. Moreover, the influences of rock blocks and safety requirements on the optimal designs are discussed. Our results show that the angle of repose of the rock blocks and the volumetric block proportion determine whether the mechanical parameters of the soil matrix can be used to effectively design the stabilizing pile. It is also found that a higher safety requirement can improve the design robustness, but at higher cost. The advantages of the proposed method are illustrated by a comparison with the traditional reliability-based design method.

崩落型滑坡主要由土石混合体组成，其组成和结构复杂，其力学性质具有较大的不确定性。这就给滑坡稳定桩的设计带来了困难。本文建立了土石混合体中稳定桩的极限侧力预测模型，并应用该模型评价了桩稳定型崩塌滑坡的安全系数。随后，采用鲁棒岩土设计对稳定桩进行优化设计。设计鲁棒性是通过破坏概率的变化来衡量的，这种方法可以克服表征土石混合体力学特性不确定性的困难。据此，我们提出了一种稳定滑坡桩的稳健设计程序。以实际滑坡为例，阐述了设计方法和步骤，得出了综合考虑安全性、成本和设计稳健性的最佳设计方案。此外，还讨论了岩块和安全要求对优化设计的影响。研究结果表明，岩体的休止角和体块比例决定了土基质的力学参数能否有效地用于稳定桩的设计。研究还发现，更高的安全要求可以提高设计的鲁棒性，但成本较高。通过与传统的基于可靠性的设计方法的比较，说明了该方法的优越性。

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引用次数: 0

Reliability assessment of steel slag and construction waste backfill for reinforced earth structures using response surface method 用响应面法评价钢渣和建筑垃圾回填加筋土结构的可靠度

IF 3.3 2区工程技术 Q2 ENGINEERING, GEOLOGICAL

Soils and Foundations

Pub Date : 2025-02-01 DOI: 10.1016/j.sandf.2025.101569

Sanjana Sarkar , Amarnath Hegde

The study investigates the potential of two waste materials, steel slag and construction and demolition waste (CDW) as backfills for mechanically stabilized earth (MSE) walls. The design of MSE walls traditionally relies on factors of safety (FS) derived from empirical assessments, leading to uncertainties in soil behaviour and stability evaluations. To address this, probabilistic analyses were conducted to evaluate the suitability of slag and CDW backfills. The performance of MSE walls with various backfills was compared through FLAC-2D finite difference simulations. The findings show that substituting sand with slag or CDW significantly reduced the horizontal facing displacement by 83 % and 86 %, respectively. Lower reinforcement strains were also observed with slag and CDW backfills compared to sand. Further, probabilistic studies were conducted on the numerical model using the response surface method (RSM). The reliability index of the MSE wall model was determined using RSM considering uncertainties in soil properties and reinforcement characteristics. At a specified displacement limit, the probability of failure of walls filled with slag and CDW was significantly lower than that of walls filled with sand. Partial safety factors pertaining to friction angle, unit weight and geogrid stiffness were higher with slag and CDW backfills, suggesting reduced risk of failure associated with the alternate backfills. These findings emphasize the potential benefits of using slag and CDW in MSE walls, highlighting the improved performance of these alternate backfills over conventional backfill.

研究了钢渣和建筑垃圾作为机械稳定土（MSE）墙体回填材料的潜力。MSE墙的设计传统上依赖于经验评估得出的安全系数（FS），导致土壤行为和稳定性评估的不确定性。为了解决这一问题，进行了概率分析，以评估矿渣和CDW充填体的适用性。通过FLAC-2D有限差分模拟，比较了不同充填方式下MSE墙体的性能。研究结果表明，用矿渣或CDW替代砂可显著降低水平面驱替，分别降低83%和86%。与砂相比，矿渣和CDW充填体的钢筋应变也较低。利用响应面法（RSM）对数值模型进行了概率研究。考虑土体性质和加筋特性的不确定性，采用RSM法确定了MSE墙体模型的可靠度指标。在一定的位移极限下，填充矿渣和CDW的墙体破坏概率明显低于填充砂的墙体。与摩擦角、单位重量和土工格栅刚度相关的部分安全系数在矿渣和CDW充填体中较高，表明替代充填体降低了破坏风险。这些发现强调了在MSE壁中使用矿渣和CDW的潜在好处，突出了这些替代充填体比传统充填体性能的改善。

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引用次数: 0

Effects of internal erosion on mechanical properties of different soil compositions and its impact on their cyclic response 内侵蚀对不同土壤成分力学特性的影响及其循环响应

IF 3.3 2区工程技术 Q2 ENGINEERING, GEOLOGICAL

Soils and Foundations

Pub Date : 2025-02-01 DOI: 10.1016/j.sandf.2024.101540

Ali Naqi, Kenji Watanabe

Suffusion, a process whereby water gradually carries away fine particles from soil, is thought to be one of the possible reasons for the settlement or inclination of bridge piers after a major flood (delayed displacement). The aim of this study is to offer fresh insights into suffusion and its mechanical impact on the affected soil, with a specific focus on how it relates to bridge pier failures. Riverbed material is replicated with relatively larger fine particles than those used in past studies which focused on soil in embankments or dikes.

Through both monotonic and cyclic loading tests on soil samples with varying initial fines contents, while maintaining a constant relative density of 79%, several important discoveries are made. The small strain stiffness of suffused soil fluctuates as erosion occurs, along with a decrease in shear strength and an increase in soil contraction under monotonic stress. Furthermore, the research simulates the train loading exerted on the base soil of bridge piers susceptible to suffusion by subjecting the soil samples to cyclic loading both before and after erosion, mirroring practical conditions. The key findings of this study reveal that the stiffness of soil drops during erosion with no significant deformation of the soil. This leads to a large strain accumulation in the soil specimens under subsequent cyclic traffic loading. These findings highlight that the delayed settlement or inclination of bridge piers under cyclic or train loading after a major flood is possibly due to suffusion in the base soil of the piers.

水逐渐从土壤中带走细颗粒的过程被认为是大洪水后桥墩沉降或倾斜的可能原因之一（延迟位移）。本研究的目的是为渗透及其对受影响土壤的机械影响提供新的见解，并特别关注它与桥梁桥墩破坏的关系。与过去着重于堤防土壤的研究相比，用相对较大的细颗粒复制河床材料。在相对密度恒定为79%的情况下，对不同初始细粒含量的土样进行了单调加载和循环加载试验，得到了一些重要发现。浸润土的小应变刚度随侵蚀的发生而波动，单调应力作用下土体抗剪强度减小，收缩增大。此外，通过对易发生渗水的桥墩基础土进行侵蚀前和侵蚀后的循环加载，模拟列车荷载作用于易发生渗水的桥墩基础土，以反映实际情况。本研究的主要发现是土壤在侵蚀过程中刚度下降，但土壤没有明显的变形。这导致土样在后续循环交通荷载作用下产生较大的应变积累。这些研究结果表明，大洪水后桥墩在循环或火车荷载作用下的延迟沉降或倾斜可能是由于桥墩基础土的渗透造成的。

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引用次数: 0

Bayesian inverse analysis with field observation for slope failure mechanism and reliability assessment under rainfall accounting for nonstationary characteristics of soil properties 考虑土壤性质非平稳特征的降雨条件下边坡破坏机理贝叶斯反分析及可靠性评估

IF 3.3 2区工程技术 Q2 ENGINEERING, GEOLOGICAL

Soils and Foundations

Pub Date : 2025-02-01 DOI: 10.1016/j.sandf.2025.101568

Xian Liu , Shui-Hua Jiang , Jiawei Xie , Xueyou Li

Slope failure mechanism and reliability assessment under rainfall usually not only ignores the nonstationary characteristics of soil hydraulic and shear strength parameters, but also does not make use of the freely available field observation that the slope remains stable under the natural condition. In this paper, the nonstationary characteristics and spatial variabilities of soil hydraulic and shear strength parameters, along with model bias, are explicitly accounted for. Firstly, Bayesian inverse analysis is conducted to infer the spatially varying shear strength parameters and reduce their uncertainties by incorporating the field observation. Following this, an infinite slope model is taken as an example to perform slope seepage, stability and reliability analyses subjected to a rainfall event based on the posterior statistics of soil shear strength parameters. The probabilities of slope failure and distributions of critical slip surface for various rainfall durations are then evaluated within a Monte-Carlo simulation framework. Based on these, the slope failure mechanism induced solely by the rainfall is investigated. The results indicate that the probability of failure of the infinite slope, when evaluated using the posterior statistics of soil shear strength parameters, is close to zero (7.24 × 10⁻²), which aligns with the field observation wherein the slope remains stable under the natural condition. The triggering factors for slope failure vary across different stages of rainfall infiltration are identified and elucidated in this paper. Ignoring the field observation and the nonstationary characteristics of soil properties can lead to inaccurate assessments of both the failure mechanisms and probabilities of slopes induced by the rainfall. The research can provide a new perspective for understanding the slope failure mechanism caused by the rainfall.

降雨作用下边坡破坏机理及可靠度评估往往忽略了土体水力和抗剪强度参数的非平稳特性，也没有充分利用自然条件下边坡稳定的现场观测资料。本文明确考虑了土体水力和抗剪强度参数的非平稳特征和空间变异性，以及模型偏差。首先，通过贝叶斯反分析，结合现场观测，推断出抗剪强度参数的空间变化规律，降低其不确定性；在此基础上，以无限边坡模型为例，基于土体抗剪强度参数后验统计，进行降雨作用下边坡渗流、稳定性和可靠度分析。然后在蒙特卡罗模拟框架内评估不同降雨持续时间的边坡破坏概率和临界滑移面分布。在此基础上，对降雨单独引起的边坡破坏机理进行了研究。结果表明，利用土抗剪强度参数后验统计进行评估时，无限边坡的破坏概率接近于零（7.24 × 10−2），这与现场观测结果一致，其中边坡在自然条件下保持稳定。本文对降雨入渗不同阶段引起边坡破坏的触发因素进行了识别和阐述。忽略现场观测和土壤性质的非平稳特征，可能导致对降雨引起的边坡破坏机制和概率的不准确评估。该研究为认识降雨引起的边坡失稳机理提供了新的视角。

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引用次数: 0

Estimation of water content of compacted Kunigel-V1 bentonite using near-infrared spectra 用近红外光谱估计压实Kunigel-V1膨润土的含水量

IF 3.3 2区工程技术 Q2 ENGINEERING, GEOLOGICAL

Soils and Foundations

Pub Date : 2025-02-01 DOI: 10.1016/j.sandf.2024.101545

Sota Murase , Te Ma , Kunlin Ruan , Daichi Ito , Hailong Wang , Hideo Komine

Bentonite has been selected as a candidate buffer material for the deep geological disposal of high-level radioactive waste (HLW). To more effectively control the compaction quality of bentonite blocks, an efficient and accurate method for estimating the water content of compacted bentonite should be developed. A method for estimating the water content of compacted bentonite using near-infrared spectroscopy is proposed in this study. The near-infrared spectra of 60 compacted Kunigel-V1 (KV1) bentonite specimens, with varying water contents and compaction loads, were measured using a near-infrared spectral sensor. Based on the obtained experimental data, a calibration model was constructed through partial least squares (PLS) regression, and its accuracy was evaluated by means of several indicators. The results demonstrated that the calibration model could achieve an estimation accuracy of approximately ± 1.0 %, regardless of the compaction load. These findings confirm the applicability of using near-infrared spectroscopy for estimating the water content of compacted Kunigel-V1 bentonite.

膨润土已被选定为高放废物深层地质处置的候选缓冲材料。为了更有效地控制膨润土块体的压实质量，需要开发一种高效、准确的压实膨润土含水量估算方法。本文提出了一种利用近红外光谱法测定膨润土含水量的方法。采用近红外光谱传感器测量了60个不同含水量和压实载荷的KV1 （Kunigel-V1）膨润土试样的近红外光谱。基于获得的实验数据，通过偏最小二乘（PLS）回归构建了标定模型，并通过多个指标对其精度进行了评价。结果表明，在不考虑压实载荷的情况下，标定模型的估计精度约为±1.0%。这些发现证实了用近红外光谱法估算压实Kunigel-V1膨润土含水量的适用性。

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引用次数: 0

Evaluation of frost heave model using measured values for temperature and water intake rate near the freezing front 利用冰冻锋附近温度和吸水率的测量值对冻胀模型进行评价

IF 3.3 2区工程技术 Q2 ENGINEERING, GEOLOGICAL

Soils and Foundations

Pub Date : 2025-02-01 DOI: 10.1016/j.sandf.2025.101570

Takeshi Ishizaki , Satoshi Nishimura

Many frost heave theories and models have been proposed to explain the frost heave phenomenon. In the present study, systematic frost heave experiments were conducted under various temperature gradients and freezing rates, and the relationships between the water intake rate and the freezing front, freezing rate, temperature gradient in the frozen zone, and temperature of the ice lens growth surface were investigated. The experimental results showed that there is a linear relationship among the water intake rate, freezing rate, and temperature gradient, and that there is also a linear relationship between the water intake rate and the temperature of the ice lens growth surface. Based on these findings, the validity of the existing frost heave models was evaluated. The results of this study revealed that the water intake rate to the freezing front cannot be expressed only by the temperature gradient in the frozen fringe. In addition, a model in which the rate of the water intake into the ice lens is determined by the hydrodynamic resistance of the water flow in the frozen fringe cannot explain the experimental results well. With a kinetic model, in which the water intake rate is determined by the chemical potential difference between the ice lens and the nearby water film, it was found that the calculated results and the actual measurement results corresponded well when the self-diffusion coefficient of the water film near the ice lens was used as a fitting parameter.

人们提出了许多冻胀理论和模型来解释冻胀现象。本研究在不同温度梯度和冻结速率下进行了系统的冻胀实验，研究了取水量与冻结锋、冻结速率、冻结区温度梯度和冰透镜生长面温度的关系。实验结果表明，取水速率、冻结速率与温度梯度之间存在线性关系，取水速率与冰透镜生长表面温度之间也存在线性关系。在此基础上，对现有冻胀模型的有效性进行了评价。研究结果表明，冻结锋的进水量不能仅用冻结边缘的温度梯度来表示。另外，将水进入冰透镜的速率由冻结条纹中水流的水动力阻力决定的模型不能很好地解释实验结果。采用由冰透镜与附近水膜的化学位势差决定进水速率的动力学模型，以冰透镜附近水膜的自扩散系数作为拟合参数，计算结果与实际测量结果吻合较好。

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引用次数: 0

Ensemble learning of soil–water characteristic curve for unsaturated seepage using physics-informed neural networks 基于物理信息神经网络的非饱和渗流土-水特征曲线集成学习

IF 3.3 2区工程技术 Q2 ENGINEERING, GEOLOGICAL

Soils and Foundations

Pub Date : 2025-02-01 DOI: 10.1016/j.sandf.2024.101556

Hao-Qing Yang , Chao Shi , Lulu Zhang

The determination of the soil–water characteristic curve (SWCC) is crucial for hydro-mechanical modelling and analysis of soil slopes. Conventional inverse analysis often relies on a predetermined SWCC model for parameter estimation. However, the selection of SWCC functions heavily relies on engineering judgement, which may be subjective and biased. Moreover, the estimation of multiple governing parameters for a preselected function form from limited site-specific data is a nontrivial task, particularly for inexperienced engineering practitioners. To explicitly address this challenge, this study proposes an ensemble learning framework that leverages physics-informed neural networks (PINN) for parameter estimation. Multiple representative SWCCs following different function forms are compiled, providing flexible learning bases to construct arbitrary SWCC. For a specific slope, the most compatible basis combination is adaptively selected based on limited site-specific measurements before being mobilized for forward predictions of hydraulic behavior. The proposed method is illustrated through a hypothetical example and a real slope project at Jalan Kukoh, Singapore. Results indicate that the ensemble learning framework can accurately estimate SWCC functions and the associated pore pressure distributions from limited measurements in a data-driven and physics-informed manner. The robustness of the method has also been demonstrated through a series of sensitivity analyses, showcasing the capability of PINN for unsaturated hydraulic seepage modelling and SWCC estimation during rainfall conditions.

土-水特征曲线（SWCC）的确定是土坡水力学建模和分析的关键。传统的逆分析通常依赖于预定的SWCC模型进行参数估计。然而，SWCC功能的选择在很大程度上依赖于工程判断，这种判断可能是主观的和有偏见的。此外，从有限的场地特定数据中预选择函数形式的多个控制参数的估计是一项非平凡的任务，特别是对于没有经验的工程从业者。为了明确解决这一挑战，本研究提出了一个集成学习框架，该框架利用物理信息神经网络（PINN）进行参数估计。编译了多个具有代表性的不同函数形式的SWCC，为构建任意SWCC提供了灵活的学习基础。对于特定的斜坡，在进行水力行为的预测之前，根据有限的场地特定测量自适应地选择最兼容的基组合。通过一个假设的例子和新加坡Jalan Kukoh的实际边坡工程来说明所提出的方法。结果表明，集成学习框架可以以数据驱动和物理信息的方式，从有限的测量中准确地估计SWCC函数和相关的孔隙压力分布。该方法的鲁棒性也通过一系列敏感性分析得到了证明，展示了PINN在降雨条件下非饱和水力渗流建模和SWCC估计的能力。

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引用次数: 0

Analysis of freezing and thawing processes in clay with freeze-induced compression (FIC) model 用冻害压缩（FIC）模型分析粘土的冻融过程

IF 3.3 2区工程技术 Q2 ENGINEERING, GEOLOGICAL

Soils and Foundations

Pub Date : 2025-02-01 DOI: 10.1016/j.sandf.2024.101559

Satoshi Nishimura , Mingxuan Liang , Chuangxin Lyu

Fine-grained soils generally exhibit significant permanent compression due to freezing and thawing cycles. The nature of this compression was explored through the numerical analysis of two series of freezing (and thawing) experiments involving a wide range of temperature gradients (0.04–5 °C/mm) performed under K₀ conditions. A submodel that describes a state-dependent plastic volumetric strain rate during freezing and thawing, originally developed by Nishimura (2021), was employed for the fully Thermo-Hydro-Mechanically (THM) coupled Finite Element (FE) analysis. The submodel, called the Freeze-Induced Compression (FIC) module, works as an add-in to any elasto-plastic frozen soil model developed under a THM framework, and can be turned on or off according to the need. The elasto-plastic model for frozen/unfrozen states was reappraised and re-formulated such that all parameter values could be determined from conventional frozen/unfrozen tests. This paper illustrates the model/module implementation, as well as its effectiveness in describing both slow frost heave tests and fast repeated freeze–thaw cyclic tests. In the latter, the analysis with and without the FIC module indicated that macroscopic, inter-element water transfer alone plays only a secondary role in causing cumulative permanent volumetric strain. This insight highlights the need to implement an explicit module to describe freeze-induced compression, as is done in the present study.

由于冻结和解冻循环，细粒土壤通常表现出显著的永久压缩。通过在K0条件下进行的涉及大范围温度梯度（0.04 - °C/mm）的两个系列冻结（和解冻）实验的数值分析，探索了这种压缩的性质。Nishimura（2021）最初开发了一个子模型，该模型描述了冻结和解冻过程中与状态相关的塑性体积应变率，该子模型被用于完全的热-水-机械（THM）耦合有限元（FE）分析。该子模型被称为冻结诱导压缩（FIC）模块，可作为在THM框架下开发的任何弹塑性冻土模型的附加组件，并可根据需要打开或关闭。对冻结/非冻结状态的弹塑性模型进行了重新评估和重新制定，以便所有参数值都可以从常规的冻结/非冻结试验中确定。本文说明了模型/模块的实现，以及它在描述慢速冻胀试验和快速重复冻融循环试验方面的有效性。在后者中，使用FIC模块和不使用FIC模块的分析表明，宏观的、单元间的水传递在造成累积永久体积应变方面仅起次要作用。这一见解强调需要实现一个明确的模块来描述冻结引起的压缩，正如在本研究中所做的那样。

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引用次数: 0