Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.5
2.5
Journals
Applied Sciences
Special Issues
Advances in Engineering Soil Properties and Testing for Ground Stabilization,...
applsci-logo
Submit to Special Issue Submit Abstract to Special Issue Review for Applied Sciences Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Advances in Engineering Soil Properties and Testing for Ground Stabilization, 2nd Edition

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".

Deadline for manuscript submissions: 20 September 2026 | Viewed by 1871

Special Issue Editors

Prof. Dr. Mien Jao

E-Mail Website
Guest Editor
Department of Civil and Environmental Engineering, Lamar University, Beaumont, TX 77705, USA
Interests: soil evaluation and stabilization; foundation/pile/wall system evaluation; numerical modelling in geotechnical engineering
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Mian C. Wang

E-Mail Website
Guest Editor
Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA 16802, USA
Interests: soil stabilization and evaluation; foundation/wall systems; numerical analysis in geotechnical engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Technology related to ground stabilization/improvement, includings the mechanical reinforcement and physical–chemical stabilization of local soils, has advanced rapidly in recent years.  This Special Issue addresses the latest findings in the field, including the application of construction methods, analytical approaches, monitoring techniques and testing, and characterization.

The scope of this Special Issue includes, but is not limited to, the following topics:

  • Stabilization using traditional and nontraditional admixtures;
  • Case studies of ground improvement/stabilization projects;
  • The identification of unsuitable soils and stabilization methods for ground improvement;
  • Laboratory and field tests methods used to engineer the properties of soil for improvement/stabilization;
  • Environmental issues related to ground improvement/stabilization;
  • Economic cost analysis and efficacy with different improvement/stabilization methods.

We welcome the submission of full papers, technical notes, case studies, communications, and reviews, and look forward to receiving your contributions.

Prof. Dr. Mien Jao
Prof. Dr. Mian C. 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 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.

Keywords

  • soil properties
  • soil evaluation
  • ground stabilization
  • ground improvement
  • traditional and nontraditional admixtures

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

23 pages, 3779 KB  
Article
Boron-Containing Waste Utilization in Soil Improvement Applications and Their Incorporation as Additives to Cement: A Case Study on Samples from Türkiye’s Boron Deposits
by Cigdem Yetis Goren, Ender Sarifakioglu, Eren Yurdakul and Muhammed Cemaleddin Goren
Appl. Sci. 2026, 16(5), 2475; https://doi.org/10.3390/app16052475 - 4 Mar 2026
Viewed by 474
Abstract
This study’s primary objective is to determine how boron-containing wastes from the stripping areas of the Emet–Bigadiç (Türkiye) boron deposits affect the mechanical performance of cement-based mortars and the effectiveness of weak soil improvement. The Bigadiç samples contain colemanite, calcite, dolomite, and quartz [...] Read more.
This study’s primary objective is to determine how boron-containing wastes from the stripping areas of the Emet–Bigadiç (Türkiye) boron deposits affect the mechanical performance of cement-based mortars and the effectiveness of weak soil improvement. The Bigadiç samples contain colemanite, calcite, dolomite, and quartz minerals, whereas the Emet samples predominantly comprise calcite. The wastes were incorporated into the cement matrix in two different forms: (i) solid-phase cement replacement and (ii) boron waste solution additive. Experimental findings demonstrated that replacing 10% of cement with a 4% Bigadiç-origin boron waste solution resulted in a compressive strength of 55.37 MPa after 7 days of curing, which is higher than that of the reference mixture. Also, the study revealed that the addition of 15% boron waste to weak soils increased the soil density to 1728 kg/m3 by filling micro-voids and enhancing intergranular interlocking. Due to this physical filling and chemical bridging effect, CBR value increased from an initial 4 to 6, providing a significant improvement in the soil’s deformation modulus and bearing capacity. Consequently, used boron wastes not only provide high mechanical performance in cement-based systems but also offer potential as an alternative additive material for sustainable and cost-effective soil stabilization applications. Full article
(This article belongs to the Special Issue Advances in Engineering Soil Properties and Testing for Ground Stabilization, 2nd Edition)
►▼ Show Figures

Figure 1

25 pages, 6997 KB  
Article
Data-Driven Settlement Prediction for Pavements on Tunis Soft Clay Improved with Deep Soil Mixing: Artificial Intelligence and Response Surface Approaches
by Abderrahim Meguellati, Seifeddine Tabchouche, Yasser Altowaijri, Yazeed A. Alsharedah, Abdelghani Merdas and Abdellah Douadi
Appl. Sci. 2025, 15(23), 12706; https://doi.org/10.3390/app152312706 - 30 Nov 2025
Viewed by 888
Abstract
This study investigates the prediction of immediate settlement (Uz) in soft clay improved with Deep Soil Mixing (DSM) columns under heavy aircraft loading. Two key design parameters were considered: column spacing (2.25 m to 3.75 m) and column length (6 m to 20 [...] Read more.
This study investigates the prediction of immediate settlement (Uz) in soft clay improved with Deep Soil Mixing (DSM) columns under heavy aircraft loading. Two key design parameters were considered: column spacing (2.25 m to 3.75 m) and column length (6 m to 20 m), with both rectangular and triangular arrangements analyzed. The datasets obtained from numerical simulations were modeled using Response Surface Methodology (RSM) and Artificial Neural Networks (ANN), with model calibration and validation performed through k-fold cross-validation. The statistical analysis revealed that both approaches achieved excellent predictive capability, with R2 values exceeding 0.999. For the rectangular arrangement, RSM yielded slightly lower errors (RMSE = 0.0636 cm, MAE = 0.0553 cm) compared to ANN (RMSE = 0.0828 cm, MAE = 0.0682 cm), suggesting that a second-order polynomial approximation can effectively describe the settlement response in this configuration. Conversely, for the triangular arrangement, ANN clearly outperformed RSM, reducing RMSE from 0.0725 cm to 0.0265 cm and MAE from 0.0615 cm to 0.0111 cm, thereby capturing the nonlinear stress redistribution associated with isotropic column layouts more effectively. Observed–predicted plots confirmed the high predictive accuracy of both methods, with ANN showing superior generalization in triangular grids. Overall, the findings highlight that RSM remains a robust and computationally efficient tool for rectangular layouts with relatively linear responses. In contrast, ANN provides enhanced accuracy for triangular configurations where nonlinear interactions dominate, making it particularly suitable for DSM design optimization in airport pavement foundations. Full article
(This article belongs to the Special Issue Advances in Engineering Soil Properties and Testing for Ground Stabilization, 2nd Edition)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop