Normalized Rotational Multiple Yield Surface Framework (NRMYSF) stress-strain curve prediction method based on small strain triaxial test data on undisturbed Auckland residual clay soils

4th International Conference on Civil and Environmental Engineering for Sustainability

地球科学;生态环境科学;经济学

Md Noor, M.J.^1 ; Ibrahim, A.^2 ; Rahman, A.S.A.^1

Faculty of Civil Engineering, UiTM Shah Alam, Selangor, Malaysia^1

Faculty of Civil Engineering, UiTM Cawangan Pulau Pinang, Malaysia^2

关键词: Conventional methods;    Experimental laboratory;    Linear variable differential transducers;    Measurement and analysis;    Multiple yield surface;    Prediction methods;    Strength envelope;    Test measurements;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/140/1/012100/pdf
DOI  :  10.1088/1755-1315/140/1/012100

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Small strain triaxial test measurement is considered to be significantly accurate compared to the external strain measurement using conventional method due to systematic errors normally associated with the test. Three submersible miniature linear variable differential transducer (LVDT) mounted on yokes which clamped directly onto the soil sample at equally 120° from the others. The device setup using 0.4 N resolution load cell and 16 bit AD converter was capable of consistently resolving displacement of less than 1μm and measuring axial strains ranging from less than 0.001% to 2.5%. Further analysis of small strain local measurement data was performed using new Normalized Multiple Yield Surface Framework (NRMYSF) method and compared with existing Rotational Multiple Yield Surface Framework (RMYSF) prediction method. The prediction of shear strength based on combined intrinsic curvilinear shear strength envelope using small strain triaxial test data confirmed the significant improvement and reliability of the measurement and analysis methods. Moreover, the NRMYSF method shows an excellent data prediction and significant improvement toward more reliable prediction of soil strength that can reduce the cost and time of experimental laboratory test.