Predictive Models for Correlation of Compaction Characteristics of Weakly Cohesive Soils
In this paper, an investigation was conducted to characterize the behavior of weakly cohesive soil subjected to vibratory compaction. Thus, the authors developed a model for weakly cohesive soils, defined by inter-parametric laws that consider their initial state and predict the evolution of state p...
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MDPI AG
2024-12-01
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| author | Carmen Nicoleta Debeleac Andrei Buraga Daniel Sorin Miron |
| author_facet | Carmen Nicoleta Debeleac Andrei Buraga Daniel Sorin Miron |
| author_sort | Carmen Nicoleta Debeleac |
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| description | In this paper, an investigation was conducted to characterize the behavior of weakly cohesive soil subjected to vibratory compaction. Thus, the authors developed a model for weakly cohesive soils, defined by inter-parametric laws that consider their initial state and predict the evolution of state parameters resulting from static and vibratory compaction processes, depending on the number of equipment passes. Four types of soil were proposed for testing, with different initial characteristics such as dry density, longitudinal modulus, and moisture content. Some correlations between main parameters involved in the compaction process were established, considering soil mechanical properties, compaction equipment, and in situ technology applied. The results obtained in the computational environment were implemented to predict the performance compaction process for an overall assessment. This research contributes to database development by offering valuable insights for specialists aiming to apply Industry 4.0 digitalization practices, which stipulate the use of predictability laws in pre-assessing the degree of soil compaction (or settlement) to estimate and maximize the efficiency of road construction or foundation works. These insights help optimize design processes, enhance functional performance, improve resource utilization, and ensure long-term sustainability in large infrastructure projects built on these soils. |
| format | Article |
| id | doaj-art-3b3260eb07474cabb8878635bcb2b6e1 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
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| series | Applied Sciences |
| spelling | doaj-art-3b3260eb07474cabb8878635bcb2b6e12024-12-27T14:07:57ZengMDPI AGApplied Sciences2076-34172024-12-0114241164710.3390/app142411647Predictive Models for Correlation of Compaction Characteristics of Weakly Cohesive SoilsCarmen Nicoleta Debeleac0Andrei Buraga1Daniel Sorin Miron2Research Center for Mechanics of Machines and Technological Equipment, Engineering and Agronomy Faculty in Braila, “Dunarea de Jos” University of Galati, 810017 Braila, RomaniaFaculty of Urbanism and Architecture, Technical University of Moldova, MD-2004 Chișinău, MoldovaResearch Center for Mechanics of Machines and Technological Equipment, Engineering and Agronomy Faculty in Braila, “Dunarea de Jos” University of Galati, 810017 Braila, RomaniaIn this paper, an investigation was conducted to characterize the behavior of weakly cohesive soil subjected to vibratory compaction. Thus, the authors developed a model for weakly cohesive soils, defined by inter-parametric laws that consider their initial state and predict the evolution of state parameters resulting from static and vibratory compaction processes, depending on the number of equipment passes. Four types of soil were proposed for testing, with different initial characteristics such as dry density, longitudinal modulus, and moisture content. Some correlations between main parameters involved in the compaction process were established, considering soil mechanical properties, compaction equipment, and in situ technology applied. The results obtained in the computational environment were implemented to predict the performance compaction process for an overall assessment. This research contributes to database development by offering valuable insights for specialists aiming to apply Industry 4.0 digitalization practices, which stipulate the use of predictability laws in pre-assessing the degree of soil compaction (or settlement) to estimate and maximize the efficiency of road construction or foundation works. These insights help optimize design processes, enhance functional performance, improve resource utilization, and ensure long-term sustainability in large infrastructure projects built on these soils.https://www.mdpi.com/2076-3417/14/24/11647weakly cohesive soilcompactioncorrelationin situ tests |
| spellingShingle | Carmen Nicoleta Debeleac Andrei Buraga Daniel Sorin Miron Predictive Models for Correlation of Compaction Characteristics of Weakly Cohesive Soils Applied Sciences weakly cohesive soil compaction correlation in situ tests |
| title | Predictive Models for Correlation of Compaction Characteristics of Weakly Cohesive Soils |
| title_full | Predictive Models for Correlation of Compaction Characteristics of Weakly Cohesive Soils |
| title_fullStr | Predictive Models for Correlation of Compaction Characteristics of Weakly Cohesive Soils |
| title_full_unstemmed | Predictive Models for Correlation of Compaction Characteristics of Weakly Cohesive Soils |
| title_short | Predictive Models for Correlation of Compaction Characteristics of Weakly Cohesive Soils |
| title_sort | predictive models for correlation of compaction characteristics of weakly cohesive soils |
| topic | weakly cohesive soil compaction correlation in situ tests |
| url | https://www.mdpi.com/2076-3417/14/24/11647 |
| work_keys_str_mv | AT carmennicoletadebeleac predictivemodelsforcorrelationofcompactioncharacteristicsofweaklycohesivesoils AT andreiburaga predictivemodelsforcorrelationofcompactioncharacteristicsofweaklycohesivesoils AT danielsorinmiron predictivemodelsforcorrelationofcompactioncharacteristicsofweaklycohesivesoils |