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Advanced Experimental Technology, Theory and Numerical Methods in Geomaterials and Concrete Materials

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Construction and Building Materials".

Deadline for manuscript submissions: 20 August 2025 | Viewed by 1943

Special Issue Editors

School of Transportation and Civil Engineering, Nantong University, Nantong 226019, China
Interests: fracture mechanics; rock mechanics; multi-field coupling

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Guest Editor
College of Water Concervency and Hydropower Engineering, Hohai University, Nanjing 210098, China
Interests: rock materials; simulation method; mechanical properties

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Guest Editor
College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 200135, China
Interests: concrete materials; numerical simulation; durability; multi-field coupling; hydraulic engineering

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Guest Editor Assistant
Rock Mechanics and Geo-Hazards Center, Shaoxing University, Shaoxing 312000, China
Interests: rock mechanics; discontinuous numerical method; cracking behavior

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Co-Guest Editor
1. School of Transportation and Civil Engineering, Nantong University, Nantong 226019, China
2. College of Civil Engineering, Tongji University, Shanghai 200092, China
Interests: sustainable construction engineering; low-carbon cementitious composites
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are excited to announce our forthcoming Special Issue centered around "Advanced Experimental Technology, Theory and Numerical Methods in Geomaterials and Concrete Materials". In the current era of booming modern engineering technology, geomaterials and concrete materials are the linchpins in various fields, such as infrastructure construction, geological engineering, energy development, and architecture. Gaining an in-depth understanding of their characteristics and behaviors, and devising innovative research methods, holds the key to unlocking the potential for sustainable development and technological breakthroughs within related industries. This Special Issue is designed to assemble the latest research accomplishments, novel approaches, and forward-thinking perspectives from around the globe in this domain, thereby creating an authoritative and profound platform for academic exchange among researchers, engineers, and scholars.

This Special Issue is meticulously planned and structured to spotlight the recent progress and innovation in the field of geomaterials and concrete materials. The articles slated for it are anticipated to span multiple dimensions, from the minutiae of experimental techniques to the grandiosity of theoretical frameworks and the sophistication of numerical methods. The overarching trend in this specialized area is veering towards a more integrated and comprehensive exploration, leveraging advanced technologies and interdisciplinary knowledge to enhance our understanding and manipulation of these materials.

In this Special Issue, we welcome original research articles and reviews. Research areas may encompass (but are not confined to) the following:

Experimental Technology

Pioneering techniques for gauging the mechanical properties of geomaterials and concrete materials at both the micro and macro levels. For instance, state-of-the-art in situ testing procedures can precisely capture the stress, strain, and deformation idiosyncrasies of materials within real-world engineering settings, furnishing more dependable parameter benchmarks for engineering blueprints.

Novel means of material composition dissection, involving the employment of cutting-edge spectroscopy, electron microscopy modalities, etc., to conduct exhaustive analyses of the mineral constitution and microstructure of materials and their evolutionary trajectories in tandem with temporal and environmental fluctuations, thus unearthing the microscopic underpinnings of material properties and steering the optimal design and performance augmentation of materials.

The evolution of experimental techniques under multi-field coupling circumstances (such as temperature–humidity–stress, chemical–mechanical, etc.) to mimic the convoluted and variable service milieus in actual projects, probe the response traits of materials under the combined influence of multiple factors, and offer crucial technical reinforcements for resolving intricate engineering quandaries.

Theoretical Research

By leveraging the theoretical scaffolds of continuum mechanics, fracture mechanics, and damage mechanics, conduct profound investigations into the constitutive relations of geomaterials and concrete materials to erect theoretical models capable of faithfully depicting the complex mechanical behaviors of materials, like nonlinearity, anisotropy, and rate dependence, thereby enhancing the precision and reliability of numerical simulations and engineering dissections.

From the vantage point of micromechanics, in conjunction with molecular dynamics and mesomechanic tenets, explore the quantitative nexus between the internal microstructure of materials and their macroscopic mechanical attributes, laying a theoretical groundwork for the macroscopic performance prognostication and microstructure design of materials, and catalyzing the transformation of material science from empirical design to rational design predicated on theoretical models.

Research on the theoretical mechanical behaviors of materials under extreme conditions (such as high stress, high strain rate, high temperature, low temperature, corrosive environments, etc.) to disclose the failure mechanisms and deformation laws of materials under extreme operating conditions, proffering theoretical guidance for specialized engineering applications, such as deep underground engineering, polar engineering, and nuclear waste disposal.

Numerical Methods

Develop streamlined and accurate numerical algorithms for simulating the mechanical behaviors and engineering responses of geomaterials and concrete materials. For example, enhanced algorithms predicated on the finite element method, discrete element method, finite difference method, etc., can more adeptly handle complex conundrums such as the large deformation, fracture, and contact of materials, augmenting the computational efficiency and stability of numerical simulations.

The application and advancement of multi-scale numerical simulation methodologies to actualize the seamless integration and collaborative analysis of material behaviors across diverse scales, ranging from the micro to the macro. By constructing cross-scale numerical models, we can determine the transfer and coupling mechanisms of material properties between different scales, proffering comprehensive and precise numerical prediction instruments for material design and engineering optimization.

Combine artificial intelligence technologies (such as machine learning and deep learning) with traditional numerical methods to actualize the intelligent inversion of material parameters, swift prediction of mechanical behaviors, and optimized design of complex engineering systems. Harness big data-driven intelligent algorithms to unearth the latent patterns within material performance data, provide more accurate parameter inputs and model validations for numerical simulations, and impel the evolution of numerical methods in the direction of intelligence and automation.

We earnestly look forward to receiving your invaluable contributions.

Dr. Shuyang Yu
Prof. Dr. Xuhua Ren
Dr. Wenbing Zhang
Guest Editors

Dr. Yu Zhou
Guest Editor Assistant

Dr. Yuan Gao
Co-Guest Editor

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. Materials 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

  • geo-materials
  • concrete
  • mechanical properties
  • numerical methods
  • theoretical solutions

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Published Papers (4 papers)

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Research

26 pages, 9546 KiB  
Article
Mix Design of Pervious Concrete in Geotechnical Engineering Applications
by Maurizio Ziccarelli
Materials 2025, 18(9), 1909; https://doi.org/10.3390/ma18091909 - 23 Apr 2025
Viewed by 378
Abstract
This paper presents a comprehensive experimental study on the mix design and performance of permeable concrete for geotechnical applications, focusing on its hydraulic conductivity, durability, and filter properties. Characterized by high porosity and minimal or no fine aggregates, classical pervious concretes are effectively [...] Read more.
This paper presents a comprehensive experimental study on the mix design and performance of permeable concrete for geotechnical applications, focusing on its hydraulic conductivity, durability, and filter properties. Characterized by high porosity and minimal or no fine aggregates, classical pervious concretes are effectively utilized in various civil and environmental engineering applications, including drainage systems and erosion control. This research examines the influence of the particle size distribution of aggregates on the filter properties of permeable concrete for applications in geotechnical engineering (draining piles, deep trench drains, and draining backfill). It emphasizes the importance of resistance to clogging to maintain adequate residual hydraulic conductivity and to prevent the internal erosion of soils into which permeable concrete drains are installed. The experimental results indicate that including sand in the aggregates strongly enhances the filtering capacity of pervious concrete. These findings suggest that if the mix design of permeable concrete is developed considering the grain size distribution of the base soils, the concrete will meet long-term drainage requirements (sufficient residual hydraulic conductivity), exhibit good resistance to physical clogging, provide excellent protection for the base soils against internal erosion, and contribute to the overall stability of geotechnical systems. Full article
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42 pages, 5324 KiB  
Article
HELIOS-Stack: A Novel Hybrid Ensemble Learning Approach for Precise Joint Roughness Coefficient Prediction in Rock Discontinuity Analysis
by Ibrahim Haruna Umar, Hang Lin, Hongwei Liu and Rihong Cao
Materials 2025, 18(8), 1807; https://doi.org/10.3390/ma18081807 - 15 Apr 2025
Viewed by 253
Abstract
Accurate joint roughness coefficient (JRC) estimation is crucial for understanding rock mass mechanical behavior, yet existing predictive models show limitations in capturing complex morphological characteristics of geological surfaces. This study developed an advanced hybrid ensemble learning methodology (HELIOS-Stack) to enhance JRC prediction accuracy [...] Read more.
Accurate joint roughness coefficient (JRC) estimation is crucial for understanding rock mass mechanical behavior, yet existing predictive models show limitations in capturing complex morphological characteristics of geological surfaces. This study developed an advanced hybrid ensemble learning methodology (HELIOS-Stack) to enhance JRC prediction accuracy by integrating multiple machine learning models and statistical analysis techniques. The research implemented a hybrid ensemble approach combining random forest regression, XGBoost, LightGBM, support vector regression, multilayer perceptron models, and meta-learner using LightGBM as the final estimator. The study analyzed 112 rock samples using eight statistical parameters. Model performance was evaluated against 12 empirical regression models using comprehensive statistical metrics. HELIOS-Stack achieved exceptional accuracy with R2 values of 0.9884 (training) and 0.9769 (testing), significantly outperforming traditional empirical models and alternative machine learning models. Also, the HELIOS-Stack statistical evaluation demonstrated superior performance across multiple metrics, including mean absolute error (training: 1.0165, testing: 1.4097) and concordance index (training: 0.99, testing: 0.987). The analysis identified three distinct roughness clusters: high (JRC 16–20), moderate (JRC 8–15), and smooth (JRC 0.4–7). The HELIOS-Stack methodology significantly advances rock discontinuity characterization, establishing a new benchmark for geological surface analysis. This innovative approach offers transformative applications in geotechnical engineering, rock mass stability assessment, and geological modeling through its unprecedented precision in JRC prediction. Full article
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17 pages, 3145 KiB  
Article
Research on the Equivalent Span of Hybrid Girder Bridges
by Bing Shangguan, Feng Wang, Qingtian Su, Fawas O. Matanmi and Jun Xu
Materials 2025, 18(6), 1278; https://doi.org/10.3390/ma18061278 - 13 Mar 2025
Viewed by 386
Abstract
Hybrid girder bridges achieve significant improvements in spanning capacity by utilizing lightweight and high-strength materials in the midspan beam segments. To quantitatively describe the enhancement in spanning capacity, this study introduces a simplified analytical model for hybrid girder components, avoiding complex factors, such [...] Read more.
Hybrid girder bridges achieve significant improvements in spanning capacity by utilizing lightweight and high-strength materials in the midspan beam segments. To quantitatively describe the enhancement in spanning capacity, this study introduces a simplified analytical model for hybrid girder components, avoiding complex factors, such as span ratio and boundary conditions, typically encountered in previous system-level analyses. The Leq method is proposed based on this new model, utilizing classical beam theory model to calculate and compare hybrid girder components with both uniform and variable cross-sections. The equivalent span increase coefficient, κ, is introduced for the first time, and a simplified formula for its calculation is derived. The calculation errors are kept within 8%, which meets the requirements for preliminary design. Validated through engineering practice, the formula is concise and reveals that κ is solely related to the hybrid ratio, μ, and the linear load ratio, γ. This method provides valuable guidance for the conceptual design and ultimate span prediction of hybrid girder bridges. Full article
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21 pages, 9680 KiB  
Article
Flexural Performance of an Innovative Girder-to-Pier Joint for Composite Bridges with Integral Piers: Full-Scale Test
by Wei Xie, Binju Zhang, Litao Yu, Qingtian Su and Fawas O. Matanmi
Materials 2025, 18(5), 1157; https://doi.org/10.3390/ma18051157 - 5 Mar 2025
Viewed by 513
Abstract
To reduce the maintenance requirements during the service life of highway bridges and enhance the cracking resistance of concrete slabs in the hogging moment zone of continuous composite girders, this paper proposes an innovative girder-to-pier joint for composite bridges with integral piers. Compared [...] Read more.
To reduce the maintenance requirements during the service life of highway bridges and enhance the cracking resistance of concrete slabs in the hogging moment zone of continuous composite girders, this paper proposes an innovative girder-to-pier joint for composite bridges with integral piers. Compared to the existing ones, this new joint has structural differences. The middle part of the embedded web is hollowed out to facilitate the construction, and the upper and bottom flanges of the steel girder within this joint are widened. Moreover, cast-in-place ultra-high-performance concrete (UHPC) is applied instead of normal concrete (NC) only on the top surface of the pier. A full-scale test was carried out for this new joint to evaluate the load–displacement relationship, load–strain relationship, crack initiation, and crack propagation. Compared with the numerical simulation results of the reference engineering, the test results demonstrated that the proposed joint exhibited excellent flexural performance and cracking resistance. This paper also proposes a calculation method for the elastic flexural capacity of the girder-to-pier joint incorporating the tensile strength of UHPC, and the calculated result was in good agreement with the experimental result. Full article
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