As the complexity of engineered systems grows in tandem with environmental, material, and performance demands, the field of computational mechanics is evolving rapidly. This issue of Engineering and Computational Mechanics (ENCM) showcases four innovative studies that exemplify how advanced modeling and interdisciplinary thinking are reshaping the way engineers design, analyze, and safeguard modern structures.
In “Form finding of non-minimal tensile membrane structures based on the general theory of curved interfaces using physics-informed neural networks” by Kabasi, Marbaniang, and Ghosh, the authors propose a pioneering mesh-less form-finding methodology for tensile membrane structures (TMS). Leveraging the general theory of curved interfaces, more commonly applied in biophysics, and integrating it with Physics-Informed Neural Networks (PINNs), this approach offers a powerful tool to simulate non-minimal TMS forms subjected to anisotropic prestress. The resulting framework is both computationally efficient and physically robust, marking a significant advancement in the design of lightweight, flexible structures with complex geometries.
In “Development of a plane stress projected non-local plasticity model with Tikhonov regularisation,” Neupane and Ibarra tackle the longstanding challenge of mesh dependence in strain-softening materials. Traditional models often fail under plane stress conditions due to undefined radial return mappings and localization artifacts. Their novel contribution, a plane stress projected nonlocal plasticity formulation combined with Tikhonov regularization, resolves these issues by ensuring a mathematically well-posed problem and stable, mesh-independent solutions. This model is particularly relevant for simulating fracture and post-yield behavior in thin-walled or shell structures, providing more accurate insight into failure mechanisms.
The third paper, “Prediction of temperature gradient in slab ballastless track structure considering meteorological data” by Zhao et al., shifts focus to the environmental dimension of structural performance. Using finite element thermal modeling informed by real-world meteorological data, the authors construct a validated predictive model for temperature gradients in CRTS III slab ballastless railway tracks. The results, strongly influenced by solar radiation, wind speed, and diurnal temperature swings, offer actionable insights for infrastructure design in cold-temperate climates. The research underscores the necessity of climate-responsive engineering solutions for long-term durability and safety in transport networks.
The fourth paper, “Numerical investigation of the dynamic compressive behaviour of Al 5083-H116” by Manish Kumar Gupta, examines the dynamic compressive behavior of Al 5083-H116, a high-strength aluminum alloy used in aerospace, marine, and automotive industries. The study investigates the effects of striker velocity, striker shape, and specimen shape on the material's performance using a Split-Hopkinson Pressure Bar (SHPB). The results show that Al 5083-H116 is highly sensitive to strain rates and specimen conditions, providing valuable insights into its behavior under dynamic loading.
What unites these diverse contributions is a shared commitment to computational rigor, physical accuracy, and engineering relevance. From neural network-based solvers for membrane surfaces to regularized non-local plasticity models, thermally adaptive infrastructure solutions, and the dynamic characterization of materials under high strain rates, these papers exemplify how computational mechanics is advancing across multiple domains. Together, they showcase the integration of cutting-edge simulation techniques with real-world applications to address complex engineering challenges.
I invite readers to explore these articles in detail and to engage with the broader mission of Engineering and Computational Mechanics (ENCM), a journal dedicated to the development and application of computational and analytical techniques in structural and material mechanics. As a platform for interdisciplinary, high-impact research, ENCM continues to support innovation at the intersection of engineering theory, simulation, and practice.
Taking the opportunity to remind our readers and those who wish to submit their papers
Quick access and fresh content: ahead of print articles
Our journal is proud to provide early access to recently published articles ahead of publication in an issue, allowing the scientific community to engage with fresh and relevant content as soon as it becomes available. This feature is designed to meet the growing demand for timely information and to stimulate discussions on emerging topics in the field of research.
New themed issue: “Advances in Ecohydraulics: Integrating Ecology and Hydraulics for Healthy Aquatic Ecosystems”
We are excited to announce the launch of a new call for papers for a special themed issue that will explore advances in the integration of ecology and hydraulics. This special issue aims to foster interdisciplinary discussions, focusing on the vital role of ecology in managing healthy aquatic ecosystems. We invite all interested authors to contact the journal office for further information and to submit their proposals. More details on the call for papers can be found at the following link: Advances in Ecohydraulics: Integrating Ecology and Hydraulics (https://www.emeraldgrouppublishing.com/calls-for-papers/advances-ecohydraulics-integrating-ecology-and-hydraulics-healthy-aquatic).
