Smart Geotechnical Engineering

Dear Colleagues,

We are pleased to inform you that we have launched a new Special Issue of Applied Sciences (IF 2.7, JCR Q2), entitled “Smart Geotechnical Engineering”. This Special Issue aims to present a diverse range of review articles, research articles and case studies covering promising, recent, and novel research trends in the fields of geotechnical engineering intelligent design, geotechnical numerical methods, intelligent data analysis, geotechnical expert systems and intelligent geotechnical monitoring.

Smart Geotechnical Engineering is a relatively new multidisciplinary and constantly evolving branch of geotechnical engineering analysis and design, employing computational methods, Internet of Things (IoT), Artificial intelligence (AI) and deep learning. Theoretical models, physical models, design procedures, and construction technologies have evolved through the knowledge gained by innovative information technology and computer science technology in geotechnical engineering worldwide. Therefore, this Special Issue intends to present novel scientific advances in intelligent design, testing methods, numerical simulations and case studies, and aims to significantly promote state-of-the-art research in these areas and assist geotechnical engineering practitioners and decision-makers.

Example topics of interest include, but are not limited to, the following:

• computational methods in geotechnical engineering assessment and design;
• advanced numerical modelling of geotechnical engineering;
• intelligent geotechnical monitoring;
• data mining and analysis of geotechnical engineering;
• intelligent planning strategies and expert systems for geotechnical engineering;
• intelligent field surveys;
• underground construction techniques and applications;
• retrofit strategies and technical solutions for smart geotechnical engineering;
• recent developments in standards and codes;
• Research and Practice on Engineering Disaster Assessment - Monitoring and Early Warning Methods;
• intelligent mining blasting;
• Intelligent reinforcement.

Dr. Jiwei Zhang
Prof. Dr. Hui Cao
Dr. Song Zhang
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 250 words) can be sent to the Editorial Office for assessment.

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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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.