Research on Intelligent Geotechnical Engineering
A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Structures".
Deadline for manuscript submissions: 30 June 2024 | Viewed by 1203
Special Issue Editors
Interests: intelligent geotechnical engineering; intelligent construction and intelligent operation and maintenance; building automation and robot technology
Interests: geotechnical constitutive model; intelligent simulation and modeling; intelligent diagnosis method
Interests: intelligent geotechnical engineering; intelligent construction and intelligent operation and maintenance
Interests: intelligent geotechnical engineering; machine learning algorithms for applications in geotechnical engineering; artificial intelligence and disaster prevention
Special Issue Information
Dear Colleagues,
The prosperous development of infrastructure construction has driven various constructions such as building, municipal administration, energy, water conservancy, shipping, mining, and national defense, in which geotechnical engineering plays an important role. Geotechnical engineering studies geotechnical and soil problems, including issues such as foundations, slopes, and underground engineering. The Fourth Industrial Revolution, centered around technologies such as the Internet of Things, modern communication, big data, and artificial intelligence, has become a platform for intelligent upgrading in many research fields. Under the conditions of this new era, traditional geotechnical engineering research has encountered unprecedented opportunities as well as challenges. The integration of geotechnical engineering with the latest information technology and computer science technology, such as building information models, the Internet of Things, artificial intelligence, deep learning, augmented reality, etc., can help in achieving the intelligent transformation of geotechnical engineering.
This Special Issue aims to highlight the latest innovations in theories, technologies, and methods in intelligent geotechnical engineering which can potentially contribute to the intelligent transformation of geotechnical engineering. We invite submissions of original research articles and reviews. Potential areas may include (but not limited to) the following:
- Intelligent simulation and modeling;
- Intelligent monitoring and early warning;
- Intelligent perception and analysis based on Edge-Cloud-Network;
- Intelligent decision making and control for construction and operation and maintenance;
- Integrated parameter intelligent inversion analysis method of geotechnical engineering;
- Artificial intelligence and disaster prevention and mitigation;
- Application of big data, artificial intelligence, and digital twins in geotechnical engineering.
We look forward to receiving your contributions.
Dr. Qinglong Zhang
Dr. Guangchang Yang
Prof. Dr. Yan Yan
Dr. Hai Shi
Dr. Yajian Wang
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- 3D geological modeling
- Internet of Things
- digital twin
- big data
- artificial intelligence
- edge-cloud-network
- perception and analysis
- decision-making
- active control
- geotechnical engineering
