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  • 2.2
    Impact Factor
  • 5.2
    CiteScore
  • 17 days
    Submission to First Decision
  • 3 days
    Acceptance to Publication

Symmetry

Symmetry is an international, peer-reviewed, open access journal covering research on symmetry/asymmetry phenomena wherever they occur in all aspects of natural sciences, and is published monthly online by MDPI.  

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All Articles (18,414)

  • Review
  • Open Access

Railway culverts and their transition zones constitute mechanically heterogeneous systems in which abrupt variations in structural and geotechnical stiffness disrupt the symmetry of train–track–soil–structure interaction (TTSSI). The resulting stiffness asymmetry alters load transfer within the TTSSI system and contributes to dynamic amplification, differential settlement, vibration concentration, and progressive track deterioration. Although substantial research has been conducted on railway transition zones, a systematic synthesis from a symmetry-oriented perspective remains lacking. This review critically examines studies published between 2000 and 2026 on railway culvert dynamics, transition-zone design, TTSSI mechanisms, numerical modeling, field monitoring, international design standards, and emerging digital-twin technologies. Particular attention is given to the influence of stiffness asymmetry on load-transfer mechanisms, vibration propagation, soil–structure interaction, and long-term infrastructure performance. Numerical approaches ranging from simplified analytical formulations to fully coupled three-dimensional TTSSI models are assessed alongside experimental evidence and field observations. The review demonstrates that the dynamic behavior of railway transition zones is fundamentally governed by stiffness discontinuities that break the mechanical symmetry between embankments and buried structures. Despite significant advances in vehicle–track interaction modeling and digital monitoring, important challenges remain in nonlinear soil behavior, hydro-mechanical coupling, resilience quantification, and long-term field validation. To address these limitations, a system-oriented digital-twin framework is proposed that integrates sensing, data assimilation, physics-based simulation, and predictive maintenance. The framework provides a pathway toward resilient, intelligent, and data-driven management of railway culvert transition zones while identifying key priorities for future research.

Symmetry

14 November 2026

Schematic model of a 2D-SSI system for railway culverts.
  • Article
  • Open Access

Accurate crack segmentation is important for intelligent infrastructure inspection and has potential applications in railway infrastructure monitoring. However, cracks usually exhibit thin, elongated, irregular, and spatially asymmetric morphologies, while weak boundaries and complex surface textures further increase segmentation difficulty. To address these challenges, this paper proposes HLGCrack, a lightweight hierarchical CNN-Mamba-attention network for efficient crack segmentation. The network adopts a stage-wise representation strategy in which shallow asymmetric convolution and large-kernel modeling enhance directional edge responses and local crack structures, while deeper visual state-space and local–global attention modules capture long-range dependencies and contextual information. A Lightweight Progressive Fusion decoder progressively aggregates multi-level features to recover fine crack boundaries with low computational cost, and BCE, Dice, and clDice losses are jointly employed to improve region overlap and structural continuity. HLGCrack is evaluated on CamCrack789 and four additional public pavement and structural crack datasets covering diverse crack morphologies, surface textures, and interference conditions. On CamCrack789, it achieves Dice and IoU scores of 0.860 and 0.755, respectively, with only 3.53 M parameters and 4.03 G FLOPs. The results demonstrate its effectiveness and robustness for general crack segmentation and provide a basis for subsequent adaptation to railway-specific inspection scenarios.

Symmetry

13 November 2026

  • Article
  • Open Access

The Minimum Hitting Set (MinHS) problem is a classic NP-hard problem in combinatorial optimization, widely applied across fields such as artificial intelligence diagnosis, bioinformatics, and network monitoring. This paper proposes a local search algorithm with Dual-evaluation mode, named DemHS (Dual-evaluation mode search algorithm), tailored for large-scale hitting set instances. The evaluation employs two types of functions: strong and weak. Strong evaluation accurately calculates the exchange gain by introducing a cross-correction term within the local neighborhood defined by an inserted vertex; meanwhile, weak evaluation quickly estimates the gain through global random sampling to broaden the search scope. These two functions synergistically guide the search process. Furthermore, we introduce an age strategy to break ties and enhance the diversity of the search path. When no improvements are made for extended iterations, a large-scale random perturbation is executed to help the algorithm escape local stagnation. Comparative experiments were conducted using 200 public hitting set instances (100 metaheuristic and 100 exact cases) from PACE-2025. The results show that, in the metaheuristic case group, DemHS improves the record on 62 instances and in the precise case group, DemHS obtains optimal solutions across all tested instances. The ablation studies demonstrate a significant positive gain from the dual-evaluation neighborhood structure on optimization results.

Symmetry

13 November 2026

  • Article
  • Open Access

Blasting in open-pit mines can disturb permanent underground structures. This study examines an underground water sump in medium–hard dolomite at Kunyang Phosphate Mine. A detailed three-dimensional model was built in ANSYS Workbench. The Drucker–Prager (D-P) yield criterion was used. Measured acceleration time histories were applied throughout the model in three directions. Six cases were identified by representative peak vibration velocities of 6.4–27.1 cm/s. Transient dynamic analyses examined stress, displacement, vibration velocity and local safety reserve. High stresses occurred at junctions of the roof and walls, bottom corners and sump–shaft connections. The peak equivalent stress increased almost linearly from 8.08 to 12.90 MPa. The maximum principal stress showed local tension and compression. Its tensile peak increased from 0.72 to 3.56 MPa. This was below the static tensile reference of 9.44 MPa for intact laboratory specimens. The minimum principal stress was mainly compressive. The peak compressive stress in the deep surrounding rock reached −15.10 MPa. Positive displacement peaks increased from 0.69 to 2.51 mm. Negative peaks changed from −0.80 to −2.71 mm. These values describe transient model responses. Positive velocity peaks increased from 6.36 to 26.74 cm/s. Cases P2–P6 exceeded the project control reference of 8.5 cm/s. The local indicator FS was greater than one for the extracted states at all nine monitoring locations. At high vibration levels, FS was about 1.25 at the arch baseline and the middle of the bottom side wall. These locations had relatively low reserves. The results provide a quantitative basis for blast parameter optimisation and vibration control for the water sump.

Symmetry

13 November 2026

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Symmetry - ISSN 2073-8994