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Strength development of bottom ash based geopolymer and their application in columns to improve soft soil underneath embankment: Achieving sustainability in ground improvement
IF 4.9 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-01-01 DOI: 10.1016/j.trgeo.2024.101463
Arshad Ullah , Azman Kassim , Ahmad Safuan A Rashid , Yu Huang , Nor Zurairahetty Mohd Yunus , Chongqiang Zhu , Ilyas Khan , Nazirah Mohd Apandi
In this study, bottom ash (BA) was used in ground improvement to conserve natural resources and promote sustainability. The effect of the fineness of BA on the properties of a geopolymer and the bearing capacity (qu) performance of embankment resting on the BA-based geopolymer columns (BAGC) was evaluated. The unconfined compressive strength (UCS) test and mineralogical, microstructural, and elemental analysis were carried out for the BA-based geopolymer (BAG) prepared with a different fineness of BA. Laboratory scale experiments and numerical analysis were performed on the soft soil reinforced with two column length to diameter ratios (L/d) of 6 and 8 and three column spacing to diameter ratios (s/d) of 1.8, 2.4, and 3.6. The UCS test results depict that UCS values significantly increased with the increase in the fineness of BA and satisfy the minimum strength requirement (1034 kPa) for the ground improvement project. The mineralogical analysis, microstructure, and elemental characterization showed that increasing BA fineness resulted in more BA decomposition and a denser geopolymer matrix. The results achieved from the laboratory scale experiments and numerical simulations showed that ultimate bearing capacity (qult) is enhanced by decreasing the s/d and enlarging the L/d values. Moreover, a mathematical expression with R2 of 0.999 was developed to predict qult. This study shows that BA-based geopolymer can be used to improve soft ground with substantial environmental benefits.
{"title":"Strength development of bottom ash based geopolymer and their application in columns to improve soft soil underneath embankment: Achieving sustainability in ground improvement","authors":"Arshad Ullah ,&nbsp;Azman Kassim ,&nbsp;Ahmad Safuan A Rashid ,&nbsp;Yu Huang ,&nbsp;Nor Zurairahetty Mohd Yunus ,&nbsp;Chongqiang Zhu ,&nbsp;Ilyas Khan ,&nbsp;Nazirah Mohd Apandi","doi":"10.1016/j.trgeo.2024.101463","DOIUrl":"10.1016/j.trgeo.2024.101463","url":null,"abstract":"<div><div>In this study, bottom ash (BA) was used in ground improvement to conserve natural resources and promote sustainability. The effect of the fineness of BA on the properties of a geopolymer and the bearing capacity (<em>q<sub>u</sub></em>) performance of embankment resting on the BA-based geopolymer columns (BAGC) was evaluated. The unconfined compressive strength (UCS) test and mineralogical, microstructural, and elemental analysis were carried out for the BA-based geopolymer (BAG) prepared with a different fineness of BA. Laboratory scale experiments and numerical analysis were performed on the soft soil reinforced with two column length to diameter ratios (L/d) of 6 and 8 and three column spacing to diameter ratios (s/d) of 1.8, 2.4, and 3.6. The UCS test results depict that UCS values significantly increased with the increase in the fineness of BA and satisfy the minimum strength requirement (1034 kPa) for the ground improvement project. The mineralogical analysis, microstructure, and elemental characterization showed that increasing BA fineness resulted in more BA decomposition and a denser geopolymer matrix. The results achieved from the laboratory scale experiments and numerical simulations showed that ultimate bearing capacity (<em>q<sub>ult</sub></em>) is enhanced by decreasing the s/d and enlarging the L/d values. Moreover, a mathematical expression with R<sup>2</sup> of 0.999 was developed to predict <em>q<sub>ult</sub></em>. This study shows that BA-based geopolymer can be used to improve soft ground with substantial environmental benefits.</div></div>","PeriodicalId":56013,"journal":{"name":"Transportation Geotechnics","volume":"50 ","pages":"Article 101463"},"PeriodicalIF":4.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143163375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 data-driven approach for proactive risk assessment in shield tunnel construction
IF 4.9 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-01-01 DOI: 10.1016/j.trgeo.2024.101466
Xin-Hui Zhou , Shui-Long Shen , Annan Zhou
Underestimation of risks during tunnelling may result in substantial economic losses and even fatal accidents. This study develops a data-driven approach for evaluating construction risk levels during tunnelling. Two computational models including the deep forest algorithm (DF) and fuzzy set pair analysis (FSPA) are fused, where the DF is employed for predicting shield operational parameters and the FSPA is utilized to evaluate the risk level based on the predicted operational data. Furthermore, a linear combination of the subjective and objective weights is adopted in FSPA. The proposed method is then applied to an intercity railway tunnel project in Guangzhou, China. The analysis results align well with the in-situ engineering observations for the first 600 rings. In addition, it effectively predicts a relatively high risk (level IV) during the construction of rings 1571 to 1580. The proposed method offers a reliable and feasible tool for proactively assessing the risk levels in tunnelling.
{"title":"A novel data-driven approach for proactive risk assessment in shield tunnel construction","authors":"Xin-Hui Zhou ,&nbsp;Shui-Long Shen ,&nbsp;Annan Zhou","doi":"10.1016/j.trgeo.2024.101466","DOIUrl":"10.1016/j.trgeo.2024.101466","url":null,"abstract":"<div><div>Underestimation of risks during tunnelling may result in substantial economic losses and even fatal accidents. This study develops a data-driven approach for evaluating construction risk levels during tunnelling. Two computational models including the deep forest algorithm (DF) and fuzzy set pair analysis (FSPA) are fused, where the DF is employed for predicting shield operational parameters and the FSPA is utilized to evaluate the risk level based on the predicted operational data. Furthermore, a linear combination of the subjective and objective weights is adopted in FSPA. The proposed method is then applied to an intercity railway tunnel project in Guangzhou, China. The analysis results align well with the in-situ engineering observations for the first 600 rings. In addition, it effectively predicts a relatively high risk (level IV) during the construction of rings 1571 to 1580. The proposed method offers a reliable and feasible tool for proactively assessing the risk levels in tunnelling.</div></div>","PeriodicalId":56013,"journal":{"name":"Transportation Geotechnics","volume":"50 ","pages":"Article 101466"},"PeriodicalIF":4.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143102461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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
Effect of pre-grouting on the ground deformation and its mechanism in the construction of tunnels with small-spacing and large-section
IF 4.9 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-01-01 DOI: 10.1016/j.trgeo.2024.101458
Dechun Lu , Xu Meng , Qingtao Lin , Leilei Shi , Xiuli Du
The ground deformation is difficult to control in the construction of tunnels with small-spacing and large-section. Taking a crossover track tunnel in Beijing Metro line 12 as a case, a refined numerical model for tunnels with small-spacing and large-section is established to research the effect of pre-grouting on the ground deformation. Rationality of the numerical model is validated by the good consistence between the field measured simulated results, including the ground and pipelines settlement. Further, by comparing the results of numerical models with and without pre-grouting measures, the effect of pre-grouting measures on the ground deformation, involving in the settlement, horizontal displacement, and the plastic region, are analyzed quantitatively. The implementation of the pre-grouting measures reduces both the maximum settlement at surface and horizontal displacement by approximately 67.5 %, and the PEEQ distribution region is limited to the region outside the pre-grouting, and the moderate and severe disturbance areas are respectively reduced by 65 % and 80 %. Finally, the control mechanism of the pre-grouting on the ground deformation is revealed based on the strength-stiffness theory.
{"title":"Effect of pre-grouting on the ground deformation and its mechanism in the construction of tunnels with small-spacing and large-section","authors":"Dechun Lu ,&nbsp;Xu Meng ,&nbsp;Qingtao Lin ,&nbsp;Leilei Shi ,&nbsp;Xiuli Du","doi":"10.1016/j.trgeo.2024.101458","DOIUrl":"10.1016/j.trgeo.2024.101458","url":null,"abstract":"<div><div>The ground deformation is difficult to control in the construction of tunnels with small-spacing and large-section. Taking a crossover track tunnel in Beijing Metro line 12 as a case, a refined numerical model for tunnels with small-spacing and large-section is established to research the effect of pre-grouting on the ground deformation. Rationality of the numerical model is validated by the good consistence between the field measured simulated results, including the ground and pipelines settlement. Further, by comparing the results of numerical models with and without pre-grouting measures, the effect of pre-grouting measures on the ground deformation, involving in the settlement, horizontal displacement, and the plastic region, are analyzed quantitatively. The implementation of the pre-grouting measures reduces both the maximum settlement at surface and horizontal displacement by approximately 67.5 %, and the PEEQ distribution region is limited to the region outside the pre-grouting, and the moderate and severe disturbance areas are respectively reduced by 65 % and 80 %. Finally, the control mechanism of the pre-grouting on the ground deformation is revealed based on the strength-stiffness theory.</div></div>","PeriodicalId":56013,"journal":{"name":"Transportation Geotechnics","volume":"50 ","pages":"Article 101458"},"PeriodicalIF":4.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143102466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 unimodal soil-water characteristic curve model for gap-graded soil based on bimodal grain-size distribution and fractal theory
IF 4.9 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-01-01 DOI: 10.1016/j.trgeo.2024.101465
Yuefeng Wu , Junsheng Chen , Weidong Pan , Lingfeng Guo , Yi Shan
Soil-water characteristic curve (SWCC) is an important hydraulic property that describes the relationship between matric suction and water content in unsaturated soils. However, existing SWCC models for gap-graded soil are highly empirical and fail to account for the influence of soil physical properties on SWCC. SWCC models for continuous-graded soil don’t consider the packing between particles, which results in predictions that are inconsistent with measured data. To solve the above limitation, this study proposed a new pore capillary model considering the packing of coarse and fine-grained soils and established a unimodal SWCC model called GU (Gap-graded soil and Unimodal SWCC) for gap-graded soil based on bimodal grain-size distribution (GSD) and fractal theory. There were only two physical fitting parameters in the GU model, pore fractal dimension and maximum adsorbed water content. The new proposed GU model was verified by published measured data and compared with SAP model, a representative SWCC theoretical model for continuous-graded soil. The verification and comparison prove that SWCCs predicted by the GU model have fewer error and a more reasonable variation trend than SWCCs predicted by the SAP model for different types of gap-graded soils. Thus, this study provides a novel approach to establish the relationship between soil properties and SWCC for gap-graded soil based on soil water retention mechanisms, which is important for subsequent studies of hydraulic properties.
{"title":"A unimodal soil-water characteristic curve model for gap-graded soil based on bimodal grain-size distribution and fractal theory","authors":"Yuefeng Wu ,&nbsp;Junsheng Chen ,&nbsp;Weidong Pan ,&nbsp;Lingfeng Guo ,&nbsp;Yi Shan","doi":"10.1016/j.trgeo.2024.101465","DOIUrl":"10.1016/j.trgeo.2024.101465","url":null,"abstract":"<div><div>Soil-water characteristic curve (SWCC) is an important hydraulic property that describes the relationship between matric suction and water content in unsaturated soils. However, existing SWCC models for gap-graded soil are highly empirical and fail to account for the influence of soil physical properties on SWCC. SWCC models for continuous-graded soil don’t consider the packing between particles, which results in predictions that are inconsistent with measured data. To solve the above limitation, this study proposed a new pore capillary model considering the packing of coarse and fine-grained soils and established a unimodal SWCC model called GU (Gap-graded soil and Unimodal SWCC) for gap-graded soil based on bimodal grain-size distribution (GSD) and fractal theory. There were only two physical fitting parameters in the GU model, pore fractal dimension and maximum adsorbed water content. The new proposed GU model was verified by published measured data and compared with SAP model, a representative SWCC theoretical model for continuous-graded soil. The verification and comparison prove that SWCCs predicted by the GU model have fewer error and a more reasonable variation trend than SWCCs predicted by the SAP model for different types of gap-graded soils. Thus, this study provides a novel approach to establish the relationship between soil properties and SWCC for gap-graded soil based on soil water retention mechanisms, which is important for subsequent studies of hydraulic properties.</div></div>","PeriodicalId":56013,"journal":{"name":"Transportation Geotechnics","volume":"50 ","pages":"Article 101465"},"PeriodicalIF":4.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143102481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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
Experimental study on the effect of unloading rate on monotonic and cyclic behavior of fissured clay
IF 4.9 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-01-01 DOI: 10.1016/j.trgeo.2024.101477
Zhiao Gao , Lingwei Kong , Xinming Li , Shuangjiao Wang , Jiacheng Deng
Variations in excavation construction periods for fissured soil transportation engineering lead to differing unloading rates, which affect the soil’s mechanical properties. This study utilizes a triaxial testing system to conduct monotonic and cyclic loading undrained shear tests on undisturbed fissured samples as well as remolded samples subjected to three distinct unloading rates. The K0 consolidated samples are regarded as soil mass that undergoes no unloading during testing. The findings indicated that the initial unloading rate influences the reloading shear mechanical properties of undisturbed and remolded specimens. The effects of unloading rates differ between undisturbed and remolded soil, a discrepancy attributed to inherent fissures. Specifically, undisturbed soil exhibits significant damage at low unloading rates due to fissures, while remolded soil experiences strength augmentation due to compaction with decreased unloading rates. Similarly, unloading will cause a loss of strength. Structural disparities result in the monotonic loading strength of undisturbed specimens being higher than that of remolded ones. In contrast, remolded specimens demonstrate greater dynamic strength under cyclic loading, likely because fissures deform, diminishing overall dynamic strength. Subsequent microscopic analysis, utilizing SEM images, along with a discussion of macroscopic inherent fissures, elucidated the impact of unloading rate on soil damage mechanisms, advancing the understanding of fissured soil behavior post-unloading. The study of mechanical properties of fissured soil following varying unloading rates is crucial for comprehending its damage mechanism and determining post-unloading soil strength parameters, providing valuable insights for practical applications in soil engineering.
{"title":"Experimental study on the effect of unloading rate on monotonic and cyclic behavior of fissured clay","authors":"Zhiao Gao ,&nbsp;Lingwei Kong ,&nbsp;Xinming Li ,&nbsp;Shuangjiao Wang ,&nbsp;Jiacheng Deng","doi":"10.1016/j.trgeo.2024.101477","DOIUrl":"10.1016/j.trgeo.2024.101477","url":null,"abstract":"<div><div>Variations in excavation construction periods for fissured soil transportation engineering lead to differing unloading rates, which affect the soil’s mechanical properties. This study utilizes a triaxial testing system to conduct monotonic and cyclic loading undrained shear tests on undisturbed fissured samples as well as remolded samples subjected to three distinct unloading rates. The K0 consolidated samples are regarded as soil mass that undergoes no unloading during testing. The findings indicated that the initial unloading rate influences the reloading shear mechanical properties of undisturbed and remolded specimens. The effects of unloading rates differ between undisturbed and remolded soil, a discrepancy attributed to inherent fissures. Specifically, undisturbed soil exhibits significant damage at low unloading rates due to fissures, while remolded soil experiences strength augmentation due to compaction with decreased unloading rates. Similarly, unloading will cause a loss of strength. Structural disparities result in the monotonic loading strength of undisturbed specimens being higher than that of remolded ones. In contrast, remolded specimens demonstrate greater dynamic strength under cyclic loading, likely because fissures deform, diminishing overall dynamic strength. Subsequent microscopic analysis, utilizing SEM images, along with a discussion of macroscopic inherent fissures, elucidated the impact of unloading rate on soil damage mechanisms, advancing the understanding of fissured soil behavior post-unloading. The study of mechanical properties of fissured soil following varying unloading rates is crucial for comprehending its damage mechanism and determining post-unloading soil strength parameters, providing valuable insights for practical applications in soil engineering.</div></div>","PeriodicalId":56013,"journal":{"name":"Transportation Geotechnics","volume":"50 ","pages":"Article 101477"},"PeriodicalIF":4.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143103063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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
Geosynthetic stabilization of road pavements, railroads, and airfields 路面、铁路和机场的土工合成材料加固工程
IF 4.9 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-01-01 DOI: 10.1016/j.trgeo.2024.101321
Erol Tutumluer , Mingu Kang , Issam I.A. Qamhia
Geosynthetics provide sustainable alternatives for enhanced performance, durability and cost-effectiveness of road pavements, railways, and airfields. Even when the same geosynthetic products are used for constructing these different transportation facilities, an optimal approach is needed to match the properties of soils or unbound aggregate geomaterials and the geosynthetic products to establish an effective mechanical stabilization. This Proctor lecture keynote paper presents the state-of-the-practice on the transportation applications of geosynthetics, design methods, and the recent research findings on geosynthetics used in road and airfield pavements and ballasted railway tracks. The paper introduces first the transportation applications of commonly used geosynthetic products, i.e., geogrids, geotextiles, and geocells, with special emphases to subgrade restraint and unbound aggregate stabilization applications and discusses in detail the related unpaved and paved design procedures. Next, the focus is directed towards establishing a better understanding of geosynthetic mechanisms governing stabilization applications. To summarize, this keynote paper reports on two decades of developments and research findings at the University of Illinois and elsewhere on the topic of geosynthetic stabilization using the latest technologies to quantify the stiffness enhancement in the vicinity of a geosynthetic material via the bearing capacity improvement and lateral restraint mechanisms. Recent research at the University of Illinois focused on the successful use of bender element shear wave transducer technology is discussed in detail with several examples given related to the laboratory and field efforts of unbound aggregate base and railroad ballast geosynthetic stabilization including full-scale instrumentation of stabilization geosynthetics used in actual road and airfield pavements constructed in the United States.
{"title":"Geosynthetic stabilization of road pavements, railroads, and airfields","authors":"Erol Tutumluer ,&nbsp;Mingu Kang ,&nbsp;Issam I.A. Qamhia","doi":"10.1016/j.trgeo.2024.101321","DOIUrl":"10.1016/j.trgeo.2024.101321","url":null,"abstract":"<div><div>Geosynthetics provide sustainable alternatives for enhanced performance, durability and cost-effectiveness of road pavements, railways, and airfields. Even when the same geosynthetic products are used for constructing these different transportation facilities, an optimal approach is needed to match the properties of soils or unbound aggregate geomaterials and the geosynthetic products to establish an effective mechanical stabilization. This Proctor lecture keynote paper presents the state-of-the-practice on the transportation applications of geosynthetics, design methods, and the recent research findings on geosynthetics used in road and airfield pavements and ballasted railway tracks. The paper introduces first the transportation applications of commonly used geosynthetic products, i.e., geogrids, geotextiles, and geocells, with special emphases to subgrade restraint and unbound aggregate stabilization applications and discusses in detail the related unpaved and paved design procedures. Next, the focus is directed towards establishing a better understanding of geosynthetic mechanisms governing stabilization applications. To summarize, this keynote paper reports on two decades of developments and research findings at the University of Illinois and elsewhere on the topic of geosynthetic stabilization using the latest technologies to quantify the stiffness enhancement in the vicinity of a geosynthetic material via the bearing capacity improvement and lateral restraint mechanisms. Recent research at the University of Illinois focused on the successful use of bender element shear wave transducer technology is discussed in detail with several examples given related to the laboratory and field efforts of unbound aggregate base and railroad ballast geosynthetic stabilization including full-scale instrumentation of stabilization geosynthetics used in actual road and airfield pavements constructed in the United States.</div></div>","PeriodicalId":56013,"journal":{"name":"Transportation Geotechnics","volume":"50 ","pages":"Article 101321"},"PeriodicalIF":4.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141847207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Characterising geomaterial shakedown and related deformation accumulation from cyclic triaxial tests
IF 4.9 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-01-01 DOI: 10.1016/j.trgeo.2024.101455
Andrew Lees , Erol Tutumluer
Permanent deformation accumulation in soils and unbound granular materials under repetitive loading leads to surface rutting in roads and deterioration of track geometry in railways, eventually requiring costly and disruptive maintenance. Cyclic or repeated load triaxial tests are a convenient test method to characterise the permanent deformation behaviour of different soils under high numbers of load repetitions and a large volume of data is available. Existing empirical functions either take no account of shakedown, leading to an over-prediction of deformations at a high number of load cycles, or those that do take account of shakedown contain a high number of regression parameters that make them difficult to use. A simple empirical function with only one input parameter is proposed to characterise the accumulation of permanent axial strain in cyclic triaxial tests on a wide range of geomaterials undergoing shakedown deformations. It is shown to give predictions of a similar accuracy to existing functions at low numbers of load cycles and increased accuracy at high numbers of load cycles. It is shown to be applicable to soils ranging from a high plasticity clay to a rail ballast, across a range of stress states, stress history and strain levels provided that ratcheting deformations do not occur. The single input parameter has a physical meaning and is related to the permanent deformation required to reach the shakedown condition. Since the proposed function predicts the slowing rate of deformation accumulation towards shakedown not covered by the commonly-used existing functions, it could lead to more economical designs of applications involving high numbers of load repetitions. Its broad application to both coarse granular materials and fine-grained soils should streamline the design of applications involving layers of both these material types without the need to change empirical function.
{"title":"Characterising geomaterial shakedown and related deformation accumulation from cyclic triaxial tests","authors":"Andrew Lees ,&nbsp;Erol Tutumluer","doi":"10.1016/j.trgeo.2024.101455","DOIUrl":"10.1016/j.trgeo.2024.101455","url":null,"abstract":"<div><div>Permanent deformation accumulation in soils and unbound granular materials under repetitive loading leads to surface rutting in roads and deterioration of track geometry in railways, eventually requiring costly and disruptive maintenance. Cyclic or repeated load triaxial tests are a convenient test method to characterise the permanent deformation behaviour of different soils under high numbers of load repetitions and a large volume of data is available. Existing empirical functions either take no account of shakedown, leading to an over-prediction of deformations at a high number of load cycles, or those that do take account of shakedown contain a high number of regression parameters that make them difficult to use. A simple empirical function with only one input parameter is proposed to characterise the accumulation of permanent axial strain in cyclic triaxial tests on a wide range of geomaterials undergoing shakedown deformations. It is shown to give predictions of a similar accuracy to existing functions at low numbers of load cycles and increased accuracy at high numbers of load cycles. It is shown to be applicable to soils ranging from a high plasticity clay to a rail ballast, across a range of stress states, stress history and strain levels provided that ratcheting deformations do not occur. The single input parameter has a physical meaning and is related to the permanent deformation required to reach the shakedown condition. Since the proposed function predicts the slowing rate of deformation accumulation towards shakedown not covered by the commonly-used existing functions, it could lead to more economical designs of applications involving high numbers of load repetitions. Its broad application to both coarse granular materials and fine-grained soils should streamline the design of applications involving layers of both these material types without the need to change empirical function.</div></div>","PeriodicalId":56013,"journal":{"name":"Transportation Geotechnics","volume":"50 ","pages":"Article 101455"},"PeriodicalIF":4.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143102465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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
Empirical and soft computing approaches for estimation of residual friction angle of clays using toughness limit
IF 4.9 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-01-01 DOI: 10.1016/j.trgeo.2024.101467
Satoru Shimobe , Eyyüb Karakan , Alper Sezer
The residual friction angle is an important parameter in soil mechanics, since it is a widely used parameter in long-term stability analysis and a fair descriptor of post-failure strength. In this regard, a database was constituted including Atterberg limits, clay fraction, effective normal stress and residual friction angle. Relationships among the above-mentioned parameters were investigated, and an empirical equation for estimation of tangent of residual friction angle based on effective normal stress and coefficients depending on Atterberg limits was proposed. Later, relationships between residual friction angle and toughness limit; residual friction angle and a combined index parameter based on clay fraction and toughness limit were obtained. Finally, back-propagation neural networks and sensitivity analyses were employed to find out the best combination of inputs, for prediction of residual friction angle. These methods are capable of estimating residual friction angle by use of toughness limit, with a high accuracy.
{"title":"Empirical and soft computing approaches for estimation of residual friction angle of clays using toughness limit","authors":"Satoru Shimobe ,&nbsp;Eyyüb Karakan ,&nbsp;Alper Sezer","doi":"10.1016/j.trgeo.2024.101467","DOIUrl":"10.1016/j.trgeo.2024.101467","url":null,"abstract":"<div><div>The residual friction angle is an important parameter in soil mechanics, since it is a widely used parameter in long-term stability analysis and a fair descriptor of post-failure strength. In this regard, a database was constituted including Atterberg limits, clay fraction, effective normal stress and residual friction angle. Relationships among the above-mentioned parameters were investigated, and an empirical equation for estimation of tangent of residual friction angle based on effective normal stress and coefficients depending on Atterberg limits was proposed. Later, relationships between residual friction angle and toughness limit; residual friction angle and a combined index parameter based on clay fraction and toughness limit were obtained. Finally, back-propagation neural networks and sensitivity analyses were employed to find out the best combination of inputs, for prediction of residual friction angle. These methods are capable of estimating residual friction angle by use of toughness limit, with a high accuracy.</div></div>","PeriodicalId":56013,"journal":{"name":"Transportation Geotechnics","volume":"50 ","pages":"Article 101467"},"PeriodicalIF":4.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143102924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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
Effect of MICP treatment on the mechanical properties of clay soils
IF 4.9 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-01-01 DOI: 10.1016/j.trgeo.2025.101483
Olivier Maston , Tariq Ouahbi , Said Taibi , Ahmad El Hajjar , Leslie Sapin , Annette Esnault-Filet , Benoit Duchemin , Jean-Marie Fleureau
The presence of drying cracks can significantly affect soil hydromechanical behavior, which has effects on soil performance in civil engineering. One innovative approach that has received much interest in the last decade is using microbially induced calcium carbonate precipitation (MICP) for soil reinforcement and stabilization. A series of clay specimens with varying moisture levels and concentrations of cementation solution were carefully prepared. All these samples were subjected to a series of mechanical tests to assess the improvement in the clay’s mechanical characteristics. These tests covered various conditions, ranging from unsaturated to saturated states of the clays. The results showed that the strength of clays was significantly improved, and the most significant increase in mechanical strength was observed with the 1.4 M MICP solution. The precipitation of CaCO3 was quantified using a calcimeter. In addition, composition analysis by X-ray diffraction and attenuated total reflectance infrared spectroscopy confirmed the presence of calcium carbonate crystals and indicated residual urea and calcium acetate.
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引用次数: 0
Predicting the stress-strain behavior of gravels with a hybrid deep learning approach
IF 4.9 2区 工程技术 Q1 ENGINEERING, CIVIL Pub Date : 2025-01-01 DOI: 10.1016/j.trgeo.2025.101492
Duo Li , Jingmao Liu , Degao Zou , Kaiyuan Xu , Fanwei Ning , Gengyao Cui
Large-scale datasets and efficient model algorithms are crucial foundations in Machine Learning. The prediction ability of previous approaches in determining the stress–strain characteristics of gravels is hindered by small datasets and shallow Machine Learning methods with significant limitations in model generalization and feature extraction. With this consideration, a large-scale dataset for the stress–strain–volume change curves from triaxial compression test was established. This extensive collection includes 1039 records for 312 gravel types, along with stress–strain–volume change curves and 13 influence factors related to particle properties, soil mass properties, and test conditions. Subsequently, drawing inspiration from the success of hybrid Deep Learning models in sequence prediction tasks, such as air quality prediction, a novel Deep Learning model named Res-LSTM-PiNet was proposed through ablation studies. This model integrates the capabilities of the Residual Neural Network (ResNet) for deep feature extraction and Long Short-Term Memory (LSTM) for sequence feature learning, while also incorporating prior information constraints into the loss function. The results demonstrate that the proposed model effectively captures and predicts the mechanical behaviors of softening/hardening and shrinkage/dilatancy of gravels. Compared with the traditional LSTM model, the Mean Absolute Percentage Error of Res-LSTM-PiNet in predicting the stress–strain curve is significantly reduced from 28.2% to 14.3%. This study offers effective support for predicting the stress–strain–volume change curves of gravels in the absence of experimental data.
{"title":"Predicting the stress-strain behavior of gravels with a hybrid deep learning approach","authors":"Duo Li ,&nbsp;Jingmao Liu ,&nbsp;Degao Zou ,&nbsp;Kaiyuan Xu ,&nbsp;Fanwei Ning ,&nbsp;Gengyao Cui","doi":"10.1016/j.trgeo.2025.101492","DOIUrl":"10.1016/j.trgeo.2025.101492","url":null,"abstract":"<div><div>Large-scale datasets and efficient model algorithms are crucial foundations in Machine Learning. The prediction ability of previous approaches in determining the stress–strain characteristics of gravels is hindered by small datasets and shallow Machine Learning methods with significant limitations in model generalization and feature extraction. With this consideration, a large-scale dataset for the stress–strain–volume change curves from triaxial compression test was established. This extensive collection includes 1039 records for 312 gravel types, along with stress–strain–volume change curves and 13 influence factors related to particle properties, soil mass properties, and test conditions. Subsequently, drawing inspiration from the success of hybrid Deep Learning models in sequence prediction tasks, such as air quality prediction, a novel Deep Learning model named Res-LSTM-PiNet was proposed through ablation studies. This model integrates the capabilities of the Residual Neural Network (ResNet) for deep feature extraction and Long Short-Term Memory (LSTM) for sequence feature learning, while also incorporating prior information constraints into the loss function. The results demonstrate that the proposed model effectively captures and predicts the mechanical behaviors of softening/hardening and shrinkage/dilatancy of gravels. Compared with the traditional LSTM model, the Mean Absolute Percentage Error of Res-LSTM-PiNet in predicting the stress–strain curve is significantly reduced from 28.2% to 14.3%. This study offers effective support for predicting the stress–strain–volume change curves of gravels in the absence of experimental data.</div></div>","PeriodicalId":56013,"journal":{"name":"Transportation Geotechnics","volume":"50 ","pages":"Article 101492"},"PeriodicalIF":4.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143102931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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
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Transportation Geotechnics
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