Pub Date : 2018-06-19DOI: 10.1201/9780429446931-88
J. Tinoco, A. Correia, P. Cortez, D. Toll
This study aims to develop a tool able to help decision makers to find the best strategy for slopes management tasks. It is known that one of the main challenges nowadays for every developed or countries undergoing development is to keep operational under all conditions their transportation infrastructures. However, considering the network extension and increased budget constraints such challenge is even more difficult to accomplish. In the framework of transportations networks, particularly for railway, slopes are perhaps the element for which their failure can have a strongest impact at several levels. Therefore, it is important to develop tools able to help minimizing this situation. Aiming to achieve this goal, we take advantage of the high flexible learning capabilities of Artificial Neural Networks (ANNs) and Support Vector Machines (SVMs), which have been used in the past to model complex nonlinear mappings. Both data mining algorithms were applied in the development of a classification tool able to identify the stability condition of a rock and soil cutting slopes, keeping in mind the use of information usually collected during routine inspections activities (visual information) to feed them. For that, two different strategies were followed: nominal classification and regression. Moreover, to overcome the problem of imbalanced data, three training sampling approaches were explored: no resampling, SMOTE (Synthetic Minority Over-sampling Technique) and Oversampling. The achieved results are presented and discussed, comparing the performance of both algorithms (ANN and SVM) according to each modelling strategy as well as the effect of the sampling approaches. Also, a comparison between both types of slopes is presented and discussed. An input-sensitivity analysis was applied allowing to measure the relative influence of each model attribute.
{"title":"Rock and soil cutting slopes stability condition identification based on soft computing algorithms","authors":"J. Tinoco, A. Correia, P. Cortez, D. Toll","doi":"10.1201/9780429446931-88","DOIUrl":"https://doi.org/10.1201/9780429446931-88","url":null,"abstract":"This study aims to develop a tool able to help decision makers to find the best strategy for slopes management tasks. It is known that one of the main challenges nowadays for every developed or countries undergoing development is to keep operational under all conditions their transportation infrastructures. However, considering the network extension and increased budget constraints such challenge is even more difficult to accomplish. In the framework of transportations networks, particularly for railway, slopes are perhaps the element for which their failure can have a strongest impact at several levels. Therefore, it is important to develop tools able to help minimizing this situation. Aiming to achieve this goal, we take advantage of the high flexible learning capabilities of Artificial Neural Networks (ANNs) and Support Vector Machines (SVMs), which have been used in the past to model complex nonlinear mappings. Both data mining algorithms were applied in the development of a classification tool able to identify the stability condition of a rock and soil cutting slopes, keeping in mind the use of information usually collected during routine inspections activities (visual information) to feed them. For that, two different strategies were followed: nominal classification and regression. Moreover, to overcome the problem of imbalanced data, three training sampling approaches were explored: no resampling, SMOTE (Synthetic Minority Over-sampling Technique) and Oversampling. The achieved results are presented and discussed, comparing the performance of both algorithms (ANN and SVM) according to each modelling strategy as well as the effect of the sampling approaches. Also, a comparison between both types of slopes is presented and discussed. An input-sensitivity analysis was applied allowing to measure the relative influence of each model attribute.","PeriodicalId":107346,"journal":{"name":"Numerical Methods in Geotechnical Engineering IX","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131186331","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 : 2018-06-19DOI: 10.1201/9781351003629-21
N. Riordan, S. Kumar, F. Ciruela-Ochoa, A. Cañavate-Grimal
{"title":"Estimation and calibration of input parameters for Lake Texcoco Clays, Mexico City","authors":"N. Riordan, S. Kumar, F. Ciruela-Ochoa, A. Cañavate-Grimal","doi":"10.1201/9781351003629-21","DOIUrl":"https://doi.org/10.1201/9781351003629-21","url":null,"abstract":"","PeriodicalId":107346,"journal":{"name":"Numerical Methods in Geotechnical Engineering IX","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115637196","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 : 2018-06-19DOI: 10.1201/9780429446924-52
Anna-Lena Hammer, R. Hasanpour, C. Hoffmann, M. Thewes
{"title":"Numerical analysis of interaction behavior of yielding supports in squeezing ground","authors":"Anna-Lena Hammer, R. Hasanpour, C. Hoffmann, M. Thewes","doi":"10.1201/9780429446924-52","DOIUrl":"https://doi.org/10.1201/9780429446924-52","url":null,"abstract":"","PeriodicalId":107346,"journal":{"name":"Numerical Methods in Geotechnical Engineering IX","volume":"77 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114059393","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 : 2018-06-19DOI: 10.1201/9780429446931-106
P. Mohanty, S. Bhattacharya
{"title":"Potential mechanism for recurrent mid-span failure of pile supported river bridges in liquefied soil","authors":"P. Mohanty, S. Bhattacharya","doi":"10.1201/9780429446931-106","DOIUrl":"https://doi.org/10.1201/9780429446931-106","url":null,"abstract":"","PeriodicalId":107346,"journal":{"name":"Numerical Methods in Geotechnical Engineering IX","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123688410","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 : 2018-06-19DOI: 10.1201/9780429446931-68
D. Varkey, M. Hicks, P. Vardon
The paper investigates the stability of slopes with spatially variable and cross-correlated shear strength parameters in 3D. The influence of various cross-correlation coefficients between these parameters on the probability of 3D slope failure has been considered for different levels of anisotropy of the heterogeneity in the shear strength. Specifically, 3D random fields of cohesion and friction angle were generated using the Local Average Subdivision method, and these were correlated with each other by various degrees. The fields were then linked to finite element analyses within a Monte Carlo framework. The results indicate that a positive cross-correlation between the parameters reduces the slope reliability, whereas a negative cross-correlation between the parameters increases the reliability.
{"title":"3D slope stability analysis with spatially variable and cross-correlated shear strength parameters","authors":"D. Varkey, M. Hicks, P. Vardon","doi":"10.1201/9780429446931-68","DOIUrl":"https://doi.org/10.1201/9780429446931-68","url":null,"abstract":"The paper investigates the stability of slopes with spatially variable and cross-correlated shear strength parameters in 3D. The influence of various cross-correlation coefficients between these parameters on the probability of 3D slope failure has been considered for different levels of anisotropy of the heterogeneity in the shear strength. Specifically, 3D random fields of cohesion and friction angle were generated using the Local Average Subdivision method, and these were correlated with each other by various degrees. The fields were then linked to finite element analyses within a Monte Carlo framework. The results indicate that a positive cross-correlation between the parameters reduces the slope reliability, whereas a negative cross-correlation between the parameters increases the reliability.","PeriodicalId":107346,"journal":{"name":"Numerical Methods in Geotechnical Engineering IX","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122649239","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 : 2018-06-19DOI: 10.1201/9781351003629-107
Junied Bakr, S. Ahmad
{"title":"Effect of earthquake characteristics on permanent displacement of a cantilever retaining wall","authors":"Junied Bakr, S. Ahmad","doi":"10.1201/9781351003629-107","DOIUrl":"https://doi.org/10.1201/9781351003629-107","url":null,"abstract":"","PeriodicalId":107346,"journal":{"name":"Numerical Methods in Geotechnical Engineering IX","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129808489","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 : 2018-06-19DOI: 10.1201/9780429446924-40
M. F. G. Martínez, G. Gottardi, M. Marchi, L. Tonni
{"title":"Modelling a sand boil reactivation in the middle-lower portion of the Po river banks","authors":"M. F. G. Martínez, G. Gottardi, M. Marchi, L. Tonni","doi":"10.1201/9780429446924-40","DOIUrl":"https://doi.org/10.1201/9780429446924-40","url":null,"abstract":"","PeriodicalId":107346,"journal":{"name":"Numerical Methods in Geotechnical Engineering IX","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128877114","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}
{"title":"Numerical modeling of the creep behavior of a stabilized soft soil","authors":"P. V. Oliveira, A. Correia, L. Lemos","doi":"10.1201/9780429446931-5","DOIUrl":"https://doi.org/10.1201/9780429446931-5","url":null,"abstract":"","PeriodicalId":107346,"journal":{"name":"Numerical Methods in Geotechnical Engineering IX","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129864286","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 : 2018-06-19DOI: 10.1201/9780429446931-61
D. Ferreira, António Pedro, P. Coelho, J. Sousa, D. Taborda
{"title":"Impact of considering oriented rock variability on tunnel excavation","authors":"D. Ferreira, António Pedro, P. Coelho, J. Sousa, D. Taborda","doi":"10.1201/9780429446931-61","DOIUrl":"https://doi.org/10.1201/9780429446931-61","url":null,"abstract":"","PeriodicalId":107346,"journal":{"name":"Numerical Methods in Geotechnical Engineering IX","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130126705","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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