Pub Date : 2024-01-09DOI: 10.1080/19386362.2023.2301141
Joy Ayankop Oke, Hossam Abuel-Naga, E. Leong
{"title":"De-carbonizing in construction using supplementary cementitious materials and accelerated carbonation technique - a review","authors":"Joy Ayankop Oke, Hossam Abuel-Naga, E. Leong","doi":"10.1080/19386362.2023.2301141","DOIUrl":"https://doi.org/10.1080/19386362.2023.2301141","url":null,"abstract":"","PeriodicalId":47238,"journal":{"name":"International Journal of Geotechnical Engineering","volume":"14 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139444077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-30DOI: 10.1080/19386362.2023.2297497
Debasmita Pal, A. Dey, Kaustubh Dasgupta
{"title":"Assessment of p-y response of a laterally loaded single pile embedded in two-layered cohesionless substrata with inclined interface","authors":"Debasmita Pal, A. Dey, Kaustubh Dasgupta","doi":"10.1080/19386362.2023.2297497","DOIUrl":"https://doi.org/10.1080/19386362.2023.2297497","url":null,"abstract":"","PeriodicalId":47238,"journal":{"name":"International Journal of Geotechnical Engineering","volume":" 2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139137541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-30DOI: 10.1080/19386362.2023.2295689
M. Uduebor, J. Daniels, Y. Saulick, W. Naqvi, B. Cetin
{"title":"Optimization of water repellency in soils for geotechnical applications","authors":"M. Uduebor, J. Daniels, Y. Saulick, W. Naqvi, B. Cetin","doi":"10.1080/19386362.2023.2295689","DOIUrl":"https://doi.org/10.1080/19386362.2023.2295689","url":null,"abstract":"","PeriodicalId":47238,"journal":{"name":"International Journal of Geotechnical Engineering","volume":" 3","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139140702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-28DOI: 10.1080/19386362.2023.2297493
Felipe Moschem de Nadai, Fernando A. M. Marinho, Joao Paulo Silva
{"title":"SWRC interpretation of iron ore tailings blends focusing on saturation assessment of dry stacking","authors":"Felipe Moschem de Nadai, Fernando A. M. Marinho, Joao Paulo Silva","doi":"10.1080/19386362.2023.2297493","DOIUrl":"https://doi.org/10.1080/19386362.2023.2297493","url":null,"abstract":"","PeriodicalId":47238,"journal":{"name":"International Journal of Geotechnical Engineering","volume":"19 15","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139148346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-27DOI: 10.1080/19386362.2023.2297500
Siddharth Pathak, Mousumi Mukherjee
{"title":"Influence of residual stress and soil dilatancy on the load capacity of jacked pile","authors":"Siddharth Pathak, Mousumi Mukherjee","doi":"10.1080/19386362.2023.2297500","DOIUrl":"https://doi.org/10.1080/19386362.2023.2297500","url":null,"abstract":"","PeriodicalId":47238,"journal":{"name":"International Journal of Geotechnical Engineering","volume":"182 1‐2","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139152916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-25DOI: 10.1080/19386362.2023.2295684
Mohamed A. Sakr, Ashraf K. Nazir, Wasiem R. Azzam, Nehal O. Ali
{"title":"Soft clay improvement using eggshell powder as a sustainable material","authors":"Mohamed A. Sakr, Ashraf K. Nazir, Wasiem R. Azzam, Nehal O. Ali","doi":"10.1080/19386362.2023.2295684","DOIUrl":"https://doi.org/10.1080/19386362.2023.2295684","url":null,"abstract":"","PeriodicalId":47238,"journal":{"name":"International Journal of Geotechnical Engineering","volume":"20 9","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139158062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-09DOI: 10.1080/19386362.2023.2264052
W. Elsiwi, M. Gunaratne, G. Mullins
ABSTRACTA dynamic finite element methodology (FEM) was developed to simulate an entire dynamic replacement (DR) program of clay with sand involving multiple poundings. The main objective of this research was to employ FEM and geotechnical test data such as cone penetration test (CPT) data at the site to predict the maximum achievable sand column (SC) depth and the corresponding optimum levels of attributing parameters such as number and height of pounder drops. Another goal was to predict the pore pressure generated in clay due to pounding. A full-scale ground improvement project was used to guide the analytical process. Comparison of FEM predictions and field measurements showed the potential of using FEM to achieve the above objectives in advance of the field work. Finally, a step – by-step procedure for using a FEM procedure to predict the optimum field setup and hence improve the efficacy of DR field implementation is illustrated.KEYWORDS: Dynamic replacementFEMsand columnground improvement Disclosure statementNo potential conflict of interest was reported by the author(s).
{"title":"Application of FEM tools in efficient field implementation of dynamic replacement of soft soils","authors":"W. Elsiwi, M. Gunaratne, G. Mullins","doi":"10.1080/19386362.2023.2264052","DOIUrl":"https://doi.org/10.1080/19386362.2023.2264052","url":null,"abstract":"ABSTRACTA dynamic finite element methodology (FEM) was developed to simulate an entire dynamic replacement (DR) program of clay with sand involving multiple poundings. The main objective of this research was to employ FEM and geotechnical test data such as cone penetration test (CPT) data at the site to predict the maximum achievable sand column (SC) depth and the corresponding optimum levels of attributing parameters such as number and height of pounder drops. Another goal was to predict the pore pressure generated in clay due to pounding. A full-scale ground improvement project was used to guide the analytical process. Comparison of FEM predictions and field measurements showed the potential of using FEM to achieve the above objectives in advance of the field work. Finally, a step – by-step procedure for using a FEM procedure to predict the optimum field setup and hence improve the efficacy of DR field implementation is illustrated.KEYWORDS: Dynamic replacementFEMsand columnground improvement Disclosure statementNo potential conflict of interest was reported by the author(s).","PeriodicalId":47238,"journal":{"name":"International Journal of Geotechnical Engineering","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135094399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-05DOI: 10.1080/19386362.2023.2264056
Hari Gopinadhanpillai, Balu Elias George
ABSTRACTObservations of Plate Load Tests conducted on 12 locations in the coastal belt of central Kerala, India, to investigate the performance of soft soil improved by Floating Stone Compaction Pile (FSCP) groups are presented in this paper. The soil in the sites chosen was predominantly cohesive with low shear strength. FSCPs 100mm in diameter spaced at 300mm center-to-center, and constructed using 6 mm broken stones were installed to a depth of 5.0 m. The improvement in bearing capacity, Elastic Modulus, and Modulus of Subgrade reaction of the soil were evaluated after 6 months. From the results, it was seen that an average increase of 85% in modulus of subgrade reaction, 52% for bearing capacity, and 90% for elastic modulus was gained due to the installation of FSCPs. The additional cost involved for the installation of FSCPs is only around 2% of the total cost for the construction of the structure, proving the method to be a cost-effective option.KEYWORDS: Ground improvementFloating Stone Compaction Pile (FSCP)plate load testcohesive soil AcknowledgmentsThe support by funding from Cochin Geotechnical Laboratory, India, National Institute of Technology, Calicut Kerala, and the facilities provided at the construction sites are acknowledgedDisclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementSome or all data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request.
{"title":"Bearing capacity, elastic modulus, and modulus of subgrade reaction of soft soil improved by floating stone compaction pile group","authors":"Hari Gopinadhanpillai, Balu Elias George","doi":"10.1080/19386362.2023.2264056","DOIUrl":"https://doi.org/10.1080/19386362.2023.2264056","url":null,"abstract":"ABSTRACTObservations of Plate Load Tests conducted on 12 locations in the coastal belt of central Kerala, India, to investigate the performance of soft soil improved by Floating Stone Compaction Pile (FSCP) groups are presented in this paper. The soil in the sites chosen was predominantly cohesive with low shear strength. FSCPs 100mm in diameter spaced at 300mm center-to-center, and constructed using 6 mm broken stones were installed to a depth of 5.0 m. The improvement in bearing capacity, Elastic Modulus, and Modulus of Subgrade reaction of the soil were evaluated after 6 months. From the results, it was seen that an average increase of 85% in modulus of subgrade reaction, 52% for bearing capacity, and 90% for elastic modulus was gained due to the installation of FSCPs. The additional cost involved for the installation of FSCPs is only around 2% of the total cost for the construction of the structure, proving the method to be a cost-effective option.KEYWORDS: Ground improvementFloating Stone Compaction Pile (FSCP)plate load testcohesive soil AcknowledgmentsThe support by funding from Cochin Geotechnical Laboratory, India, National Institute of Technology, Calicut Kerala, and the facilities provided at the construction sites are acknowledgedDisclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementSome or all data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request.","PeriodicalId":47238,"journal":{"name":"International Journal of Geotechnical Engineering","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135482681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ABSTRACTBy using a grey box AI model, a comprehensive study is presented on the behaviour prediction of alum sludge as a soil stabilizer. To creat models for predicting the California bearing rtio (CBR) of alum sludge as a soil stabilizer, the study employs statistical models, including multiple linear regression (MLR) and Partial least squares (PLS), and advanced artificial intelligence, including classificatoin and regression random forests (CRRF) and classification and regression trees (CART). Results show that CRRF and CART models accurately predict CBR values better than MLR and PLS models. For predicting the behaviour of alum sludge in soil stablization, the compaction number of hammer and sludge content were the most significant parameters. Gs and optimum moisture content of soil were the least important parameters. Study results provide valuable insights into alum sludge’s behaviour as a soil stablizer, which could reduce waste and promote sustainable practice.KEYWORDS: Sustainabilityrecyclingwater treatment sludgealum sludgeAIsoil stabiliser Disclosure statementNo potential conflict of interest was reported by the author(s).
{"title":"AI grey box model for alum sludge as a soil stabilizer: an accurate predictive tool","authors":"Abolfazl Baghbani, Minh Duc Nguyen, Bidur Kafle, Hasan Baghbani, Roohollah Shirani Faradonbeh","doi":"10.1080/19386362.2023.2258749","DOIUrl":"https://doi.org/10.1080/19386362.2023.2258749","url":null,"abstract":"ABSTRACTBy using a grey box AI model, a comprehensive study is presented on the behaviour prediction of alum sludge as a soil stabilizer. To creat models for predicting the California bearing rtio (CBR) of alum sludge as a soil stabilizer, the study employs statistical models, including multiple linear regression (MLR) and Partial least squares (PLS), and advanced artificial intelligence, including classificatoin and regression random forests (CRRF) and classification and regression trees (CART). Results show that CRRF and CART models accurately predict CBR values better than MLR and PLS models. For predicting the behaviour of alum sludge in soil stablization, the compaction number of hammer and sludge content were the most significant parameters. Gs and optimum moisture content of soil were the least important parameters. Study results provide valuable insights into alum sludge’s behaviour as a soil stablizer, which could reduce waste and promote sustainable practice.KEYWORDS: Sustainabilityrecyclingwater treatment sludgealum sludgeAIsoil stabiliser Disclosure statementNo potential conflict of interest was reported by the author(s).","PeriodicalId":47238,"journal":{"name":"International Journal of Geotechnical Engineering","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135154254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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