Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Get in touch with Hanying
Contact Hanying, search articles and posts on X, monitor coverage, and track replies from one place.
Learn more about Muck RackActions
Is this you?
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Articles
An explainable ensemble machine learning approach for coefficient of compressibility prediction of Chengdu clay
Abstract Accurate prediction of the coefficient of compressibility (av) for regional clays remains a fundamental challenge in geotechnical engineering. Focusing on Chengdu clays, this study proposes a machine learning framework that integrates physically constrained data augmentation, differentiated hyperparameter optimization, and interpretability analysis.
Mechanical response of randomly disposed and deep layered fill-soft soil composite foundation investigated via field loading tests - Scientific Reports
Abstract The construction method utilizing only drainage plates combined with direct surcharge preloading remains widely adopted in the construction and improvement of raw material storage yards on soft foundation soils along rivers and waterways. In such projects, the shallow fill layers are often designed as soft clayey strata.
Actions
Is this you?
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Get in touch with Hanying
Contact Hanying, search articles and posts on X, monitor coverage, and track replies from one place.
Learn more about Muck Rack