Research on Rock Mechanics and Rock Engineering, Geotechnical Engineering and Mining Sciences in Construction—3rd Edition

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Structures".

Deadline for manuscript submissions: 31 January 2027 | Viewed by 3328

Special Issue Editors

School of Civil Engineering, Qingdao University of Technology, Qingdao 266520, China
Interests: new material applications; underground structure anti-floating; geotechnical and foundation engineering; geotechnical engineering testing techniques
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Guest Editor
School of Civil Engineering, Qingdao University of Technology, Qingdao 266520, China
Interests: environmental geotechnics; geotechnical and foundation engineering; coastal soft foundation treatment
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Geotechnical engineering is an applied science that requires the use of theoretical knowledge, test results, and engineering experience for proper analysis. Geotechnics plays an important role in various types of engineering and construction, such as building structures, transportation infrastructure, green buildings, mining, urban underground space, energy transition, and so on. As the scale of engineering construction increases, the engineering environment becomes more complex, thereby presenting greater challenges in the field of geotechnics. Driven by the goals of ‘human–land coordination’ and ‘sustainable development’ of modern geotechnical engineering and supported by AI technology, it provides more possibilities for diversified analyses of geotechnical mechanics in engineering applications. For these reasons, it is worthwhile to explore the direction of geotechnical research development in the future and the trends that it will present.

The main aim of this Special Issue is to explore the research on rock mechanics and rock engineering, geotechnical engineering and urban underground engineering in construction. The topics include, but are not limited to, the following:

Rock mechanics and rock engineering;
Soil mechanics and foundation engineering;
Urban underground engineering;
Tunnelling engineering;
Geoenvironmental and petroleum engineering;
Energy geotechnical engineering;
Intelligent and digital geotechnical engineering;
Environmental geotechnics;
Ground improvement technology;
Soils and rocks dynamics properties;
Engineering applications of new building materials;
The mechanical, physical, hydraulic and thermal properties of geomaterials;
Theoretical analysis, testing techniques and numerical simulation of geotechnical media materials.

Dr. Xiaoyu Bai
Dr. Nan Yan
Dr. Jianyong Han
Guest Editors

Manuscript Submission Information

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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 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 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

  • rock mechanics
  • geotechnical engineering
  • urban underground engineering
  • soil mechanics
  • ground improvement technology
  • intelligent geotechnical engineering
  • geotechnical engineering testing techniques
  • geomaterials properties
  • numerical simulation

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Published Papers (4 papers)

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Research

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24 pages, 50347 KB  
Article
Analysis Model of Load Transfer Method Based on Domain Decomposition Physics-Informed Neural Networks
by Xiaoru Jia, Keshen Zhang, Junwei Liu, Wenchang Shang, Yahui Zhang, Yuxing Ding and Guangyu Qi
Buildings 2026, 16(6), 1114; https://doi.org/10.3390/buildings16061114 - 11 Mar 2026
Viewed by 341
Abstract
The load transfer method is important for the settlement prediction of axially loaded piles, but in multi-layered complex soils, it lacks analytical solutions. Traditional numerical methods such as the finite element method suffer from strong dependence on mesh generation, time-consuming iterative calculations, and [...] Read more.
The load transfer method is important for the settlement prediction of axially loaded piles, but in multi-layered complex soils, it lacks analytical solutions. Traditional numerical methods such as the finite element method suffer from strong dependence on mesh generation, time-consuming iterative calculations, and high computational costs for back-analysis. This paper proposes a load transfer analysis model based on a Domain Decomposition Physics-Informed Neural Network. A multi-subnet parallel architecture is adopted to simulate multi-layered soils, solving the problem of inter-layer stress–strain discontinuity through interface coupling and gradient continuity constraints; a non-dimensionalization system and a hard constraint mechanism are introduced to enhance training efficiency and physical consistency; and a two-stage analysis framework comprising surrogate model forward analysis and field data inversion is established. Numerical experimental results indicate that the forward analysis of this model is in high agreement with FEM simulation results, and computational efficiency is improved by six orders of magnitude; based on a small amount of field static load test data, multi-layer soil parameters are accurately inverted, achieving more precise pile settlement prediction than FEM. Comparative analysis validates the effectiveness of the domain decomposition multi-subnet over a single network, demonstrating extensibility to hyperbolic and exponential multi-soil constitutive models. Full article
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35 pages, 9896 KB  
Article
Static Shear Characteristics of Coarse-Grained Soils Under Different Initial Stress States
by Yi Shi, Yongwei Chen, Wei Qin, Yingdong Feng, Zhenhua Hu and Keke Wang
Buildings 2026, 16(1), 233; https://doi.org/10.3390/buildings16010233 - 5 Jan 2026
Viewed by 369
Abstract
Coarse-grained soil is a commonly used filling material in foundation engineering, and its static shear characteristics are significantly affected by the initial stress state. For coarse-grained soils, clearly defining the drainage conditions and improving the accuracy of pore water pressure measurements are crucial [...] Read more.
Coarse-grained soil is a commonly used filling material in foundation engineering, and its static shear characteristics are significantly affected by the initial stress state. For coarse-grained soils, clearly defining the drainage conditions and improving the accuracy of pore water pressure measurements are crucial in static shear tests. Based on GDS dynamic and static true triaxial equipment, this paper systematically conducts static shear tests on coarse-grained soil under three-dimensional initial isotropic, three-dimensional initial anisotropic, and plane strain states. The effects of initial mean principal stress, initial generalized shear stress, initial intermediate principal stress coefficient, and water content on the stress–strain relationship, strength, modulus, and friction angle of coarse-grained soil are analyzed. The research shows that under the same initial mean principal stress, the peak strength under a plane strain state is the largest, and that under a three-dimensional initial anisotropic state is the smallest. The peak strength of coarse-grained soil with optimal water content is generally higher than that under a saturated state; under a three-dimensional initial anisotropic state, the peak strength decreases with an increase in the initial generalized shear stress and increases with an increase in the initial intermediate principal stress coefficient. The research results provide a theoretical basis for the analysis of mechanical behavior of coarse-grained soil in foundation engineering. Full article
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19 pages, 4373 KB  
Article
Effect of Shaft Roughness on the Bearing Capacity of Rock-Socketed Friction Piles
by Hangyu Yan, Xiaoling Fan, Yuanhao Yang, Yinhai Zhang and Bai Yang
Buildings 2025, 15(24), 4509; https://doi.org/10.3390/buildings15244509 - 13 Dec 2025
Viewed by 575
Abstract
Rock-socketed piles are a common type of end-bearing pile, but when there is deep sediment or holes at the pile bottom, the load is primarily supported by side resistance. In this study, based on such conditions and considering the influence of pile shaft [...] Read more.
Rock-socketed piles are a common type of end-bearing pile, but when there is deep sediment or holes at the pile bottom, the load is primarily supported by side resistance. In this study, based on such conditions and considering the influence of pile shaft roughness, model tests were conducted to investigate the bearing characteristics of rock-socketed friction piles. The results show that the failure mode of rock-socketed friction piles is the formation of a penetrating cylinder in the rock layer, with the cylinder diameter directly approximating the pile diameter. The load–displacement curves of the test piles are steeply variable. After reaching the ultimate bearing capacity, the residual bearing capacity of rough test pile is approximately 60% of the ultimate bearing capacity, while that of smooth test pile is 72.4%. The maximum side resistance of the test pile is located within a depth range of 25 mm below the soil–rock interface, and the upper load of 41.0% to 48.9% on the test piles was born by the pile side resistance within this depth range. As the roughness factor (RF) increases gradually from 0.0 to 0.3, the ultimate bearing capacity of the test pile shows nearly linear growth, the ultimate displacement increases sharply first and then decreases slowly, and both the axial force attenuation and the percentage of side resistance within the depth range of 25 mm below the soil–rock interface gradually increase slightly. In this paper, two existing methods are employed to calculate the ultimate bearing capacity of friction piles under the conditions of this study. Based on a comparison of the results, the applicable conditions for each method are proposed. The findings of this study can serve as a reference for the design of rock-socketed piles in similar geological formations. Full article
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Review

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36 pages, 2717 KB  
Review
Fire Resistance of Steel-Reinforced Concrete Columns: A Review of Ordinary Concrete to Ultra-High Performance Concrete
by Chang Liu, Xiaochen Wu and Jinsheng Du
Buildings 2026, 16(1), 24; https://doi.org/10.3390/buildings16010024 - 20 Dec 2025
Cited by 2 | Viewed by 1134
Abstract
This review surveys the recent literature on the fire resistance of reinforced concrete (RC) columns based on a bibliometric analysis of publications to reveal research trends and focus areas. The collected studies are synthesized from the perspectives of materials, structural behaviors, parameter influences, [...] Read more.
This review surveys the recent literature on the fire resistance of reinforced concrete (RC) columns based on a bibliometric analysis of publications to reveal research trends and focus areas. The collected studies are synthesized from the perspectives of materials, structural behaviors, parameter influences, and predictive modeling. From the material aspect, the review summarizes the degradation mechanisms of conventional concrete at elevated temperatures and highlights the improved performance of ultra-high-performance concrete (UHPC) and reactive powder concrete (RPC), where dense microstructures and fiber bridging effectively suppress spalling and help maintain residual capacity. In terms of structural behavior, experimental and numerical studies on RC columns under fire are reviewed to clarify the deformation, failure modes, and effects of axial load ratio, slenderness, cover thickness, reinforcement ratio, boundary restraint, and load eccentricity on fire endurance. Parametric analyses addressing the influence of these factors, as well as the heating–cooling history, on overall stability and post-fire performance is discussed. Recent advances in thermomechanical finite element analysis and the integration of data-driven approaches such as machine learning have been summarized for evaluating and predicting fire performance. Future directions are outlined, emphasizing the need for standardized parameters for fiber-reinforced systems, a combination of multi-scale numerical and machine-learning models, and further exploration of multi-hazard coupling, durability, and digital-twin-based monitoring to support next-generation performance-based fire design. Full article
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