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Physics-guided genetic programming for predicting field-monitored suction variation with effects of vegetation and atmosphere

  • Published:2023-03 Issue: Volume:315 Page:107031
  • ISSN:0013-7952
  • Container-title:Engineering Geology
  • language:en
  • Short-container-title:Engineering Geology

Author:

Cheng Zhi-Liang,Kannangara K.K. Pabodha M.,Su Li-Jun,Zhou Wan-Huan,Tian Chen

Funder

Guangdong Science and Technology Department

Universidade de Macau

Fundo para o Desenvolvimento das Ciências e da Tecnologia

Publisher

Elsevier BV

Subject

Geology,Geotechnical Engineering and Engineering Geology

Reference38 articles.

1. Standard practice for classification of soils for engineering purposes (Unified Soils Classification System),2011

2. Landslide analysis of unsaturated soil slopes based on rainfall and matric suction data;Augusto Filho;Bull. Eng. Geol. Environ.,2019

3. Machine learning and the physical sciences;Carleo;Rev. Mod. Phys.,2019

4. Study on the creep behaviours and the improved Burgers model of a loess landslide considering matric suction;Chang;Nat. Hazards,2020

5. Estimation of spatiotemporal response of rooted soil using a machine learning approach;Cheng;J. Zhejiang Univ.: Sci. A,2020

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