Zengshan Li
- Highly efficient simulation of composites by determining failure initiation and fracture angle with artificial neural networks. In: Composite Structures, v. 307 (März 2023). (2023):
- Investigation on impact damage and shear after impact (SAI) behavior of grid stiffened panels. In: Composite Structures, v. 277 (Dezember 2021). (2021):
- Prediction of the inter-fiber mechanical properties of composites: Part I standardization micro-scale modelling method and damage analysis. In: Composite Structures, v. 271 (September 2021). (2021):
- Prediction of the inter-fiber mechanical properties of composites: Part II Failure criterion based on micromechanics and cross-scale stress calculation. In: Composite Structures, v. 271 (September 2021). (2021):
- Study on cure-induced residual stresses and spring-in deformation of L-shaped composite laminates using a simplified constitutive model considering stress relaxation. In: Composite Structures, v. 272 (September 2021). (2021):
- Clustering effect on mechanical properties and failure mechanism of open hole high modulus carbon fiber reinforced composite laminates under compression. In: Composite Structures, v. 229 (Dezember 2019). (2019):
- Experimental study on delamination growth of stiffened composite panels in compression after impact. In: Composite Structures, v. 206 (Dezember 2018). (2018):
- Modelling and simulating of the compressive behavior of T-stiffened composite panels subjected to stiffener impact. In: Composite Structures, v. 186 (Februar 2018). (2018):