Data-Based Modeling Approaches for Short-Term Prediction of Embankment Settlement Using Magnetic Extensometer Time-Series Data-Reference-Cited by-同舟云学术

Data-Based Modeling Approaches for Short-Term Prediction of Embankment Settlement Using Magnetic Extensometer Time-Series Data

Published:2022-02 Issue:2 Volume:22 Page:
ISSN:1532-3641
Container-title:International Journal of Geomechanics
language:en
Short-container-title:Int. J. Geomech.

Author:

Siddiqui Faisal¹^ORCID,Sargent Paul²^ORCID,Montague Gary³

Affiliation:

1. Ph.D. Scholar, School of Computing, Engineering and Digital Technologies, Teesside Univ., Middlesbrough, Tees Valley TS1 3BX, UK (corresponding author). ORCID: .

2. Senior Lecturer, School of Computing, Engineering and Digital Technologies, Teesside Univ., Middlesbrough, Tees Valley TS1 3BX, UK. ORCID: .

3. Professor, School of Health and Life Sciences, Teesside Univ., Middlesbrough, Tees Valley TS1 3BX, UK.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Soil Science

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29GM.1943-5622.0002253

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3. Applying the hyperbolic method and Cα/Cc concept for settlement prediction of complex organic-rich soil formations

4. Åström, K. J., and R. M. Murray. 2021. Feedback systems: An introduction for scientists and engineers. 2nd ed. Princeton, NJ: Princeton University Press.

5. Comparative study of four consolidation settlement estimation methods of a railway embankment

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