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Geosciences
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Soil-Structure Interactions in Underground Construction
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Soil-Structure Interactions in Underground Construction

A special issue of Geosciences (ISSN 2076-3263). This special issue belongs to the section "Geomechanics".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 3848

Special Issue Editors

Dr. Dominic E. L. Ong

E-Mail Website
Guest Editor
School of Engineering and Built Environment - Civil and Environmental Engineering, Griffith University, Nathan, QLD 4111, Australia
Interests: soil-structure interaction; underground construction; centrifuge and numerical modelling; characterisation of soils and rocks; forensic engineering
Special Issues, Collections and Topics in MDPI journals
Dr. Siaw Chian Jong

E-Mail Website
Guest Editor
School of Engineering and Built Environment—Civil and Environmental Engineering, Griffith University, Nathan, QLD 4111, Australia
Interests: machine learning; artificial intelligence; soil-structure interactions; numerical modelling

Special Issue Information

Dear Colleagues,

In today’s society, urbanisation and the scarcity of greenfield sites in densely populated cities have increased the demand for underground infrastructure construction. Underground construction projects tend to be more complex due to one or more of the following factors: climate change influencing design requirements, interactions of new structures on existing structures, ground subsidence due to water table lowering, catastrophic or progressive failures, wide variations in geomaterial properties due to weathering, occupational health and safety risks, design challenges in constrictive spaces and expectations of clients on scientists and engineers to deliver outcomes over tight timelines.

Geomaterials that underlie potential building and infrastructure footprints can be difficult to characterise because they form naturally and are not subject to quality control protocols. It is, therefore, important that scientists and engineers develop their expertise and skills through research and practice to quantify the interactions between the intended underground infrastructure and the natural environments in which they are to be built on or in. The term 'soil–structure interactions' is, therefore, an integral part of a successful project outcome.

In addition, advances in information technology have led to the development of artificial intelligence or machine learning techniques to aid in data collection and data analysis for underground geotechnical problems. The data-driven techniques are employed to develop robust design models that can consider complex relationships and produce insightful interpretations to enhance the engineering design processes to include sustainability considerations.

Therefore, as the honorary Guest Editors for the theme “Soil–Structure Interactions in Underground Construction”, we cordially invite you to submit your articles on your recent projects, experimental research or case studies, detailing how geosciences (soil, rock, ground water, geochemistry, geology, hydrogeology, surface run-off, rain, wind, temperature, etc.) directly interact with and impact the performances of underground man-made geostructures through aspects including, but not limited to, the following:

  1. Underground construction (e.g., deep excavation, tunnelling, pipe-jacking and trenching);
  2. Innovative ground improvement methods (e.g., DSM, stone column, in situ walls and subgrade stabilisation);
  3. Geological explorations and interpretation;
  4. Instrumentation and field observational methods;
  5. Use of artificial intelligence or machine learning;
  6. Post-failure forensic engineering or inverse-analysis methods;
  7. Geophysical methods for soil or rock characterisation;
  8. Advancements in laboratory and field testing of geomaterials;
  9. Advancements in remote sensing/LiDAR/image-processing detection;
  10. Advancements in finite/discrete element/large-deformation/mesh-free modelling;
  11. Advancements in multi-disciplinary design theories, government policies, construction innovation and engineering education.

We would like to also encourage you to send a brief abstract outlining the purpose of your research and the key results obtained in order to verify at an early stage that your manuscript falls within the objectives of the Special Issue.

Dr. Dominic E. L. Ong
Dr. Siaw Chian Jong
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. Geosciences 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 1800 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

  • underground construction
  • soil–structure interactions
  • machine learning
  • artificial intelligence
  • numerical modelling
  • deep excavation
  • tunnelling
  • trenchless technology
  • ground improvement
  • shallow and deep foundations

Published Papers (3 papers)

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Research

13 pages, 3336 KiB  
Article
Correlation of Geotechnical and Mineralogical Properties of Lithomargic Clays in Uttara Kannada Region of South India
by Deepak Nayak, Purushotham G. Sarvade, H. N. Udayashankar, Balakrishna S. Maddodi and M. Prasanna Kumar
Geosciences 2024, 14(4), 92; https://doi.org/10.3390/geosciences14040092 - 23 Mar 2024
Viewed by 660
Abstract
The present study explores the intricate relationship between the geotechnical and mineralogical properties of lithomargic clays in the Uttara Kannada region of south India. Lithomargic clays, characterized by their unique composition of clay minerals and calcareous content, play a crucial role in the [...] Read more.
The present study explores the intricate relationship between the geotechnical and mineralogical properties of lithomargic clays in the Uttara Kannada region of south India. Lithomargic clays, characterized by their unique composition of clay minerals and calcareous content, play a crucial role in the geotechnical behavior of soils. The study aims to provide a comprehensive understanding of the interplay between the mineralogical composition and engineering characteristics of lithomargic clays, shedding light on their suitability for various construction and infrastructure projects. The research methodology involves a systematic analysis of lithomargic clay samples collected from different locations in the Uttara Kannada region. Geotechnical investigations, including particle size distribution, Atterberg limits, unconfined compressive strength (UCS), California bearing ratio (CBR) and triaxial tests, are conducted to assess the engineering properties of the clays. Concurrently, mineralogical analyses, such as X-ray diffraction (XRD) and scanning electron microscopy (SEM), are employed to identify and quantify the clay mineral constituents within the samples. The findings of this study reveal correlations between specific mineralogical features and geotechnical behaviors of lithomargic clays. Understanding these relationships is crucial for predicting the response of these clays to different engineering applications, including slope stability, foundation design and embankment construction. The research contributes valuable insights to the scientific and engineering communities, aiding in the informed utilization of lithomargic clays in geotechnical projects in the Uttara Kannada region and beyond. The outcomes of this investigation, such as the correlation of geotechnical properties with the variation in minerals in various sample locations, enhance our understanding of the complex nature of lithomargic clays, providing a foundation for more sustainable and effective engineering practices in the geologically diverse landscapes of south India. Full article
(This article belongs to the Special Issue Soil-Structure Interactions in Underground Construction)
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25 pages, 8029 KiB  
Article
Soil–Structure Interactions in a Capped CBP Wall System Triggered by Localized Hydrogeological Drawdown in a Complex Geological Setting
by Dominic Ek Leong Ong and Elizabeth Eu Mee Chong
Geosciences 2023, 13(10), 304; https://doi.org/10.3390/geosciences13100304 - 11 Oct 2023
Viewed by 1423
Abstract
Retaining walls are often used to construct basements and underground station boxes. This unique case study compares the field-measured contiguous bored pile (CBP) wall, surrounding geology, and hydrogeology or groundwater responses against the results using 2D and 3D numerical back analyses of a [...] Read more.
Retaining walls are often used to construct basements and underground station boxes. This unique case study compares the field-measured contiguous bored pile (CBP) wall, surrounding geology, and hydrogeology or groundwater responses against the results using 2D and 3D numerical back analyses of a deep excavation project that experienced localized groundwater drawdown through the leaking ground anchor points. Site observations indicated that the ground anchor installation works had caused larger than expected through-the-wall leakages that subsequently triggered nearby ground and building settlements. In order to study the complex soil–structure interaction behavior, back analyses using a hybrid modeling technique of through-the-wall transient hydrogeological seepage and geomaterial stress-strain analyses was implemented. Through these soil-structure interaction back analyses, it was evidently revealed that the presence of the continuous capping beam was key in providing pile head restraints against the active earth pressures when the groundwater was depressed, as well as efficiently distributing the beneficial wall corner effects towards the middle CBP wall, leading to smaller bending moment magnitudes, characterized by their ‘S-shaped’ profiles. This behavior had been correctly diagnosed, as opposed to the ‘D-shaped’ bending moment profile usually only seen in a typical free-head cantilever wall in similar geology. The eventual results show that the wall and ground responses, i.e., deflection, bending moment, and settlement, were reasonably well predicted when compared against the instrumented field data, thus validating the reliability of the geotechnical modeling technique, key geological parameters, and hydrogeological fluctuations adopted in the 2D and 3D numerical models, as well as the beneficial contributions of the continuous capping beam, which tend to be overlooked during routine retaining wall design. Full article
(This article belongs to the Special Issue Soil-Structure Interactions in Underground Construction)
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15 pages, 6296 KiB  
Article
Coupling Geotechnical Numerical Analysis with Machine Learning for Observational Method Projects
by Amichai Mitelman, Beverly Yang, Alon Urlainis and Davide Elmo
Geosciences 2023, 13(7), 196; https://doi.org/10.3390/geosciences13070196 - 28 Jun 2023
Cited by 7 | Viewed by 1261
Abstract
In observational method projects in geotechnical engineering, the final geotechnical design is decided upon during actual construction, depending on the observed behavior of the ground. Hence, engineers must be prepared to make crucial decisions promptly, with few available guidelines. In this paper, we [...] Read more.
In observational method projects in geotechnical engineering, the final geotechnical design is decided upon during actual construction, depending on the observed behavior of the ground. Hence, engineers must be prepared to make crucial decisions promptly, with few available guidelines. In this paper, we propose coupling numerical analysis with machine learning (ML) algorithms for enhancing the decision process in observational method projects. The proposed methodology consists of two main computational steps: (1) data generation, where multiple numerical models are automatically generated according to the anticipated range of input parameters, and (2) data analysis, where input parameters and model results are analyzed with ML models. Using the case study of the Semel tunnel in Tel Aviv, Israel, we demonstrate how this computational process can contribute to the success of observational method projects through (1) the computation of feature importance, which can assist with better identifying the key features that drive failure prior to project execution, (2) providing insights regarding the monitoring plan, as correlative relationships between various results can be tested, and (3) instantaneous predictions during construction. Full article
(This article belongs to the Special Issue Soil-Structure Interactions in Underground Construction)
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