35 Years of (AI) in Geotechnical Engineering: State of the Art

It was 35 years ago since the first usage of Artificial Intelligence (AI) technique in geotechnical engineering, during those years many (AI) techniques were developed based in mathematical, statistical and logical concepts, but the breakthrough occurs by mimicking the natural searching and optimiza...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Geotechnical and geological engineering Ročník 39; číslo 2; s. 637 - 690
Hlavní autor: Ebid, Ahmed M.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Cham Springer International Publishing 01.02.2021
Springer Nature B.V
Témata:
Artificial intelligence
Artificial neural networks
Civil Engineering
Earth and Environmental Science
Earth Sciences
Engineering
Geotechnical engineering
Geotechnical Engineering & Applied Earth Sciences
Hydrogeology
Mimicry
Neural networks
Optimization
Rock properties
Search algorithms
Soil properties
State-of-the-Art Review
Terrestrial Pollution
Waste Management/Waste Technology
ANN
Fuzzy system
Expert system
EPR
GP
Geotechnical engineering
GA
SVM
PSO
(AI) techniques
ISSN:0960-3182, 1573-1529
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:It was 35 years ago since the first usage of Artificial Intelligence (AI) technique in geotechnical engineering, during those years many (AI) techniques were developed based in mathematical, statistical and logical concepts, but the breakthrough occurs by mimicking the natural searching and optimization algorithms. This huge development in (AI) techniques reflected on the geotechnical engineering problems. In this research, 626 paper and thesis published in the period from 1984 to 2019 concerned in applying (AI) techniques in geotechnical engineering were collected, filtered, arranged and classified with respect to subject, (AI) technique, publisher and publishing date and stored in a database. The extracted information from the database were tabulated, presented graphically and commented. The main conclusions is that the number of researches in this field increases almost exponentially, the most used (AI) technique is the Artificial Neural Networks and its enhancements where it is presents about half the researches and finally correlating soil and rock properties is the most addressed subject with about 30% of the researches.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0960-3182
1573-1529
DOI:10.1007/s10706-020-01536-7