Chongqing Jiaotong university - China
Author Profile
Scopus
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Early Academic Pursuits
Prof. Zengwei Guo began his academic journey with a deep interest in civil engineering and structural mechanics, focusing on the durability, safety, and dynamic behavior of infrastructures. His early academic pursuits were marked by rigorous training in engineering mechanics, reinforced concrete structures, and applied mathematics, which built the foundation for his later expertise in corrosion modeling, structural health monitoring, and wind engineering. This early exposure to both theoretical and applied aspects of solid mechanics allowed him to develop a research vision that integrates advanced modeling approaches with practical engineering applications.
Professional Endeavors
Throughout his career, Prof. Guo has worked extensively in civil and structural engineering research, with academic affiliations that enabled him to collaborate with leading scholars in China and internationally. His professional endeavors include serving as a corresponding author in high-impact journals, leading interdisciplinary projects, and supervising graduate students in structural health monitoring and bridge engineering. His active collaborations across structural durability, corrosion modeling, and aerodynamic performance of long-span bridges underscore his contributions to solid mechanics in both theoretical frameworks and practical applications.
Contributions and Research Focus
Prof. Guo’s contributions have significantly advanced the fields of infrastructure resilience and reliability. His research focus includes probabilistic modeling for reinforcement corrosion, corrosion state prediction using electrochemical indicators, and wind-induced vibration control of long-span bridges. He has introduced Bayesian-network-based frameworks for corrosion evaluation, developed hybrid prediction models for nondestructive testing, and applied wavelet analysis to characterize wind dynamics. Additionally, his work in applying physics-informed neural networks for parameter identification in prestressed concrete beams demonstrates his forward-looking integration of artificial intelligence into solid mechanics and structural engineering research.
Impact and Influence
Prof. Guo’s impact is evident through his wide-ranging publications across prestigious international journals such as Journal of Nondestructive Evaluation, Computer-Aided Civil and Infrastructure Engineering, Journal of Wind Engineering & Industrial Aerodynamics, and Journal of Vibration and Control. His studies have influenced both academic researchers and practicing engineers, particularly in the domains of structural health monitoring, durability of concrete infrastructures, and wind-induced responses of bridges. By addressing real-world challenges, his research has enhanced safety standards, optimized predictive models, and improved design strategies for long-term infrastructure resilience. His influence extends to interdisciplinary areas where solid mechanics intersects with materials science, artificial intelligence, and reliability engineering.
Academic Cites
Prof. Guo’s scholarly works are widely cited, reflecting the academic community’s recognition of their significance. Key publications on Bayesian probabilistic models, chloride diffusion, and modal damping of suspension bridges have become reference points in the literature. His high citation record highlights the robustness of his methodologies and the relevance of his findings to both theoretical developments and practical engineering applications. The frequent referencing of his work in journals and conferences underlines his authority in solid mechanics-driven approaches for infrastructure safety and monitoring.
Legacy and Future Contributions
Prof. Zengwei Guo’s legacy is being built upon his pioneering integration of probabilistic models, machine learning, and advanced experimental methods into civil and structural engineering. Looking forward, his future contributions are likely to expand into intelligent infrastructure systems, advanced materials durability, and real-time structural monitoring through sensor integration. His commitment to bridging theoretical advances in solid mechanics with practical engineering challenges ensures that his research will continue to shape the field. As a mentor, researcher, and innovator, his legacy will inspire future generations of engineers dedicated to infrastructure resilience and safety.
📝Solid Mechanics
Prof. Guo’s body of work consistently integrates principles of solid mechanics into the evaluation of reinforcement corrosion, bridge aerodynamics, and structural health monitoring. His application of computational methods, probabilistic modeling, and AI techniques advances solid mechanics research beyond traditional boundaries. Through publications, collaborations, and innovative projects, he has positioned solid mechanics as a cornerstone of modern civil and structural engineering solutions.
✍️ Notable Publication
Title: Machine-learning-aided shear-capacity solution of RC girders with web stirrups based on the modified compression field theory
Journal: KSCE Journal of Civil Engineering
Year: 2024
Citations: 1
Title: Bayesian-network-based evaluation for corrosion state of reinforcements embedded in concrete by multiple electrochemical indicators
Journal: Journal of Nondestructive Evaluation
Year: 2024
Citations: 1
Title: Corrigendum to “Corrosion protection failure test analysis of the initial damaged cable ICCP mechanism” [Case Stud. Constr. Mater. 20 (2024) e03227]
Journal: Case Studies in Construction Materials
Year: 2024
Citations: 0
Title: Corrosion protection failure test analysis of the initial damaged cable ICCP mechanism
Journal: Case Studies in Construction Materials
Year: 2024
Citations: 4
Title: Hybrid prediction model for reinforcements' corrosion stage by multiple nondestructive electrochemical indices
Journal: Journal of Building Engineering
Year: 2024
Citations: 8
Title: Bayesian probabilistic model for reinforcement corrosion ratio of reinforcement in concrete prediction based on modified half-cell potential
Journal: Journal of Civil Structural Health Monitoring
Year: 2024
Citations: 4