Stability and Performance of Building Foundations
A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Structures".
Deadline for manuscript submissions: 30 January 2026 | Viewed by 23
Special Issue Editors
Interests: design optimization for building foundations; bearing capacity analysis; foundations design in variable soils; seismic response of shallow and deep foundations; geotechnical risk mapping; prediction mapping; subsurface modelling; machine learning; sustainable and low-carbon foundation systems; differential settlement analysis; geotechnical machine learning; resilient foundation solutions
Interests: soil–structure interaction; ground improvement techniques; low carbon building construction material; geotechnical design for building foundations; bearing capacity and settlement; seismic performance of foundations; sustainable foundation systems; computational modeling of foundation systems
Special Issues, Collections and Topics in MDPI journals
Interests: foundation engineering; soil structure interaction; constitutive modelling; numerical analysis; finite element analysis; physical modelling; sustainable infrastructure; resilient infrastructure; computational modelling
Interests: geo-structures; eco-friendly construction materials; geo-environmental infrastructure; desiccation crack impact on infrastructure; predictive modelling techniques; constitutive modelling of deep foundations
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
1. Introduction and Scientific Background
The stability and performance of building foundations remain critical concerns in civil engineering, particularly as construction expands into increasingly complex geological and environmental settings. This Special Issue aims to present recent innovations, theoretical developments, field applications, and performance assessments related to the design, analysis, and optimization of building foundations. With the global demand for resilient, cost-effective, and sustainable infrastructure on the rise, understanding the behaviour of foundations under various loading, environmental, and soil conditions has never been more important. This collection invites contributions that explore both traditional and modern approaches to foundation engineering, including integration with digital tools and advanced modelling techniques.
2. Aim of the Special Issue and Relevance to Journal Scope
This Special Issue welcomes original research and comprehensive review articles including those that achieve the following:
- Address analytical, numerical, and experimental investigations of shallow and deep foundations.
- Evaluate foundation performance in challenging ground conditions (e.g., expansive soils, liquefiable layers, collapsible ground).
- Explore the role of soil–structure interaction in foundation behaviour.
- Present advancements in geosynthetic-reinforced foundations and ground improvement techniques.
- Introduce data-driven, AI/ML, or probabilistic approaches to predict foundation performance.
- Report on field monitoring, instrumentation, and case histories of foundation systems.
- Investigate foundation responses under seismic, dynamic, or climate-induced loadings.
- Examine the integration of sustainability and carbon reduction in foundation construction.
3. Suggested Themes
We encourage submissions on innovative studies and case-based research that enhance our understanding of foundation behaviour and its impact on structural safety and serviceability. Topics of interest include, but are not limited to:
- Shallow and deep foundation systems
- Foundation performance under static and dynamic loads
- Soil–structure interaction
- Ground improvement for foundation enhancement
- Foundations in problematic soils
- Performance-based foundation design
- Field instrumentation and monitoring
- Machine learning in geotechnical foundation analysis
- Sustainable foundation construction
- Resilient infrastructure in seismic zones
This Special Issue aims to serve as a comprehensive platform for showcasing current advances and practical insights in the realm of foundation engineering, fostering collaboration across academia, industry, and policy-making bodies.
We welcome both original research articles and critical review papers.
Dr. Zain Ijaz
Dr. Nauman Ijaz
Dr. Zia ur Rehman
Dr. Usama Khalid
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. 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
- foundation stability
- machine learning in foundation design
- geosynthetic-reinforced foundations
- soil–structure interaction
- load transfer mechanism
- foundation performance and monitoring
- seismic foundation response
- design optimization for building foundations
- bearing capacity
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