Triple correlation states between in-situ tested soil parameters
			
	
 
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				1
				Katedra Inżynierii Transportowej, Politechnika Gdańska, Wydział Inżynierii Lądowej i Środowiska, Poland
				 
			 
						
				2
				Katedra Geotechniki i Inżynierii Wodnej, Politechnika Gdańska, Wydział Inżynieii Lądowej i Środowiska, Poland
				 
			 
										
				
				
		
		 
			
			
			
			 
			Submission date: 2023-07-06
			 
		 		
		
			
			 
			Final revision date: 2023-10-29
			 
		 		
		
		
			
			 
			Acceptance date: 2023-11-21
			 
		 		
		
		
			
			 
			Publication date: 2024-09-29
			 
		 			
		 
	
							
										    		
    			 
    			
    				    					Corresponding author
    					    				    				
    					Mariusz  Wyroślak   
    					Katedra Geotechniki i Inżynierii Wodnej, Politechnika Gdańska, Wydział Inżynieii Lądowej i Środowiska, Narutowicza 11/12, 80-233, Gdańsk, Poland
    				
 
    			
				 
    			 
    		 		
			
							 
		
	 
		
 
 
Archives of Civil Engineering 2024;70(3):5-17
		
 
 
KEYWORDS
TOPICS
ABSTRACT
Introduction
When testing soil parameters, the measured parameter values are only approximations of the true values. The measurand is determined based on metrological uncertainties or using statistical models for analysing data. Some parameters of the soil state present strong correlations, but others do not always provide simple correspondences. Multiple correlations between geotechnical parameters can provide a new perspective regarding the mutual relations between these parameters and may improve the fit of different soil parameters in geotechnical design procedures.
Statistical modelling based on observed data generally involves a comparison between theoretical expectancies and practical surveys. Multidimensional regression models are useful for revealing the influences of several independent variables on one dependent variable. Statistical parameters and a quantitative approach can be used to define the relationships between several factors.
Presented results claim that triple depended correlations may bring some corrects in relationships of soil parameters as against to double depended correlations. The differences in coefficients of determination are significant. Three variables involved stronger correlations.
Material and Methods
Results
Conclusions