Applying a novel slime mould algorithm- based artificial neural network to predict the settlement of a single footing on a soft soil reinforced by rigid inclusions-Reference-Cited by-同舟云学术

Applying a novel slime mould algorithm- based artificial neural network to predict the settlement of a single footing on a soft soil reinforced by rigid inclusions

Published:2022-08-23 Issue: Volume: Page:1-16
ISSN:1537-6494
Container-title:Mechanics of Advanced Materials and Structures
language:en
Short-container-title:Mechanics of Advanced Materials and Structures

Author:

Zhang Jiamin¹^ORCID,Dias Daniel¹^ORCID,An Lu¹^ORCID,Li Chuanqi¹^ORCID

Affiliation:

1. Laboratory 3SR, CNRS UMR 5521, Grenoble Alpes University, Grenoble, France

Funder

China Scholarship Council

3SR-Lab is part of the LabEx Tec 21 (Investissements d’Avenir

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science,General Mathematics,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15376494.2022.2114048

Reference59 articles.

1. 3D Numerical Analysis of a Single Footing on Soft Soil Reinforced by Rigid Inclusions

2. Rigid Inclusion Supported Embankments for New Jersey Turnpike Interchange 14A: A Case Study

3. Rigid Inclusion System Supports Multi-Story Residential and Parking Garage Structures in Organic Soil Profile

4. Numerical Study of the Seismic Behavior of Rigid Inclusions in Soft Mexico City Clay

5. Centrifuge Tests on Laterally-Loaded Footings Supported by Rigid Inclusion-Reinforced Clay

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