RIMNI SPECIAL ISSUE - Computer Modeling in Civil and Geotechnical Engineering

Deadline Date: 28 February 2026

The rapid advancement of computational technologies over the past few decades has significantly transformed the landscape of civil and geotechnical engineering. Traditional analytical and empirical approaches are increasingly being complemented, or even replaced, by sophisticated computer modeling techniques that allow for more accurate, efficient, and cost-effective solutions to complex engineering problems. From predicting soil-structure interactions to optimizing large-scale infrastructure systems, computer modeling plays a pivotal role in enhancing design reliability, improving construction performance, and supporting sustainability in the built environment.
Given the growing demand for resilient infrastructure and the complexity of modern geotechnical systems, there is an urgent need for robust modeling tools that can capture the highly nonlinear, heterogeneous, and time-dependent behavior of soils and structures. Advances in numerical methods, such as finite element modeling (FEM), discrete element modeling (DEM), and mesh-free methods, as well as emerging applications of machine learning, AI, and data-driven modeling, have opened new frontiers in this domain.
This Special Issue aims to showcase recent developments, applications, and future directions in computer modeling within civil and geotechnical engineering. It invites contributions that demonstrate innovative modeling techniques, integration of computational tools with experimental data, and cross-disciplinary approaches that enhance our understanding of complex engineering systems.
The scope of the Special Issue includes, but is not limited to:
Numerical simulation of soil-structure interaction
Constitutive modeling
Applications of AI and machine learning in geotechnical and civil engineering
Multiscale and multiphysics modeling approaches
Simulation of construction processes and infrastructure performance
Coupled hydro-mechanical and thermo-mechanical modeling
Risk, reliability, and optimization studies using computational tools
Integration of digital twins and BIM with civil and geotechnical modeling
We invite original research papers, state-of-the-art reviews, and case studies that contribute to the theoretical, computational, and practical advancements in civil engineering and geotechnical engineering.

Deadline Date: 28 February 2026