Scaled additive manufacturing for geometry-centric nondestructive evaluation: a case study on five distinct railway sleeper models
Nondestructive Testing and Evaluation, 2025 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Basım Tarihi: 2025
- Doi Numarası: 10.1080/10589759.2025.2599485
- Dergi Adı: Nondestructive Testing and Evaluation
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Applied Science & Technology Source, Compendex, INSPEC
- Anahtar Kelimeler: 3D printing, additive manufacturing, experimental modal analysis, modal topology optimization, Railway sleepers
- Süleyman Demirel Üniversitesi Adresli: Evet
Özet
This study introduces an experimental non-destructive evaluation (NDE) methodology to systematically compare the modal behaviour of five geometrically distinct railway sleeper designs using scaled 3D-printed prototypes and precision dynamic testing. Full-scale modal investigations are constrained by size, reinforcement complexity, variability in concrete production, and high costs of fabrication and testing. By employing additive-manufactured miniature specimens under controlled free–free boundary conditions, these challenges are overcome, establishing a repeatable platform that isolates geometry-induced vibrational behaviour. Across the five sleeper types, distinct differences in resonance frequencies (503–818 Hz), damping ratios (0.56–0.83%), and CMIF peak amplitudes (5,068–9188) were identified, reflecting the influence of section geometry, inertia distribution, and modal mass. The methodology further enabled the introduction and benchmarking of a newly developed H-type geometry, not previously applied in railway practice, whose inclusion in the comparison demonstrated the tangible value of early-stage screening. Such comparative characterisation allows sleeper performance to be ranked reliably without full-scale production, providing a fast, cost-effective, and non-destructive route to identify configurations with improved vibrational resilience. The proposed framework offers a scalable tool for designing long-life, high-performance railway superstructure components, while also contributing to broader NDE and modal topology optimisation (MTO) practices in dynamically loaded engineering structures.