To address the common issues of insufficient toughness and susceptibility to cracking in traditional cement-based materials, this research direction aims to overcome the inherent limitation of the 'strength-toughness' inverse relationship. It draws on the multi-scale structural design principles of biomineralized materials (such as the 'brick-mortar' structure of nacre), developing biomimetic composites with mortar-brick characteristics. By introducing machine learning algorithms, a quantitative structure-property prediction model linking material composition, microstructure, and macroscopic performance is established, enabling intelligent optimization of the geometric configuration of biomimetic units, characteristics of interfacial transition zones, and organic-inorganic hybrid interface bonding patterns. By integrating 3D printing fine-forming technology, controllable fabrication of biomimetic hierarchical structures is achieved, systematically studying multiple toughening mechanisms such as crack deflection, bridging, and energy dissipation. Ultimately, this research aims to develop innovative composites that combine high strength, high toughness, and excellent crack resistance, providing a material foundation for the long-term safety of major engineering structures.