A novel tool for probabilistic modeling of liquefaction behavior in alluvial soil-Reference-Cited by-同舟云学术

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A novel tool for probabilistic modeling of liquefaction behavior in alluvial soil

Published:2024-08-27 Issue: Volume: Page:1-24
ISSN:1749-9518
Container-title:Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards
language:en
Short-container-title:Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards

Author:

Ghani Sufyan¹²,Kumari Sunita³

Affiliation:

1. Department of Civil Engineering, Sharda University, Greater Noida, India

2. Department of Civil Engineering, Indian Institute of Technology Hyderabad, Kandi, India

3. Department of Civil Engineering, National Institute of Technology Patna, Patna, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17499518.2024.2395560

Reference72 articles.

1. Soil liquefaction in seismic events: pioneering predictive models using machine learning and advanced regression techniques

2. Application of machine learning algorithms for the evaluation of seismic soil liquefaction potential

3. A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength

4. Evaluation of the ultimate eccentric load of rectangular CFSTs using advanced neural network modeling

5. Prediction of the Fundamental Period of Infilled RC Frame Structures Using Artificial Neural Networks

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