This study investigates the mechanical response characteristics and damage evolution behavior of TC4 alloy through quasi-static/dynamic coupled experimental methods. Quasi-static tensile tests at varying temperatures (293 K, 423 K, and 623 K) were conducted using a universal testing machine, while room-temperature dynamic tensile tests (strain rate 1000–3000 s⁻¹) were performed with a Split Hopkinson Tensile Bar (SHTB). Key findings include the following: (1) Significant temperature-softening effect was observed, with flow stress decreasing markedly as temperature increased; (2) Notch size effect influenced mechanical properties, showing 50% enhancement in post-fracture elongation when notch radius increased from 3 mm to 6 mm; and (3) Strain-hardening effect exhibited rate dependence under dynamic loading, with reduced hardening index within the tested strain rate range. The Johnson–Cook constitutive model and failure criterion were modified and parameterized based on experimental data. A 3D tensile simulation model developed in ABAQUS demonstrated strong agreement with experimental results, achieving a 0.97 correlation coefficient for load–displacement curves, thereby validating the modified models. Scanning electron microscopy (SEM) analysis of fracture surfaces revealed temperature- and strain rate-dependent microstructural characteristics, dominated by ductile fracture mechanisms involving microvoid nucleation, growth, and coalescence. This research provides theoretical foundations for analyzing Ti alloy structures under impact loading through established temperature–rate-coupled constitutive models.

To comprehensively evaluate the camouflage effect of a camouflaged vehicle in a complex background based on the detection and identification processes of the time-limited search model, the visual saliency degree and feature similarity degree were used to represent the camouflage effect, and a camouflage effect evaluation method was proposed. For the visual saliency degree algorithm, in which the concepts of local saliency degree and target saliency degree were introduced, the visual saliency features of the camouflaged vehicle and background image were manually extracted, multiscale saliency matrices were constructed, and the comprehensive saliency function was used to calculate the visual saliency degree. Based on the bag of visual words model, the feature similarity degree algorithm extracted the local features from public images of the camouflaged vehicles, clustered these features to form a visual word bag, and calculated the feature similarity degree by comparing the local features of the camouflaged vehicle with the visual word bag. Through experimental verification and analysis of the results, the method considering complex landform background characteristics, battlefield target reconnaissance processes, and different camouflage statuses of the vehicle could objectively obtain the camouflage effect value of vehicles, quantitatively determine the advantageous application environment of different camouflaged states, and provide data support for camouflaged state design and concealed area selection.

Damage is the main form of conflict, and the characterization of damage information is an important component of conflict evaluation. In the existing research, damage mainly refers to the damage effect of a damage load on the target structure. However, in the actual conflict environment, damage is a complex process that includes the entire process from the initial introduction of the damage load to the target function. Therefore, in this paper, the transfer logic of the damage process is analyzed, and the damage process is sequentially divided into being discovered, being attacked, being hit, and being destroyed in succession. Specifically, first considering the multiple types of each process, the transmission of damage is likened to the flow of damage, a network model to characterize damage information based on heterogeneous network meta-path and network flow theory (HF-MCDI) is established. Then, the characteristics of damage information are analyzed based on the capacity of the damage network, the correlation of the damage path, and the importance of the damage node. In addition, HF-MCDI can not only represent the complete damage information and the transmission characteristics of the damage load but also the structural characteristics of the target. Finally, the feasibility and effectiveness of the established HF-MCDI method are fully demonstrated by the example analysis of the launch platform.