Log in to save to my catalogue

Application of the Improved Knothe Time Function Model in the Prediction of Ground Mining Subsidence...

Application of the Improved Knothe Time Function Model in the Prediction of Ground Mining Subsidence...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a9f5ad71fcc3475c91c0e6de83044d10

Application of the Improved Knothe Time Function Model in the Prediction of Ground Mining Subsidence: A Case Study from Heze City, Shandong Province, China

About this item

Full title

Application of the Improved Knothe Time Function Model in the Prediction of Ground Mining Subsidence: A Case Study from Heze City, Shandong Province, China

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2020-05, Vol.10 (9), p.3147

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Taking into account the inadequacy of the Knothe time function model to predict the dynamic surface subsidence caused by underground mining, a new hypothesis is proposed, and the improved Knothe time function model is established. Theoretical analysis shows the improved model agrees well with surface subsidence dynamic change, velocity change, and...

Alternative Titles

Full title

Application of the Improved Knothe Time Function Model in the Prediction of Ground Mining Subsidence: A Case Study from Heze City, Shandong Province, China

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a9f5ad71fcc3475c91c0e6de83044d10

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a9f5ad71fcc3475c91c0e6de83044d10

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app10093147

How to access this item