Review on Critical Technologies for the Service Life Extension of Existing Asphalt Pavement Structures Under Long-term Service Conditions
Given the substantial volume and significant aging of existing asphalt pavement structures,extending their service lives has become a strategic requirement for the sustainable development of the transportation industry.This study focuses on existing asphalt pavement structures in long-term service and provides a comprehensive review of the research progress in four key technologies for extending service life:health condition detection and assessment,performance evolution and life prediction,life extension design methods,and research and development of specialized structures and targeted materials.First,the current applications of nondestructive testing techniques,including ground-penetrating radar,are presented to evaluate the internal conditions and bearing capacities of pavement structures.Second,the advantages and limitations of full-scale testing,the finite element method,and the discrete element method for studying the mechanical performance responses and degradation of pavement structures are systematically summarized.Based on these results,design strategies and parameter acquisition methods for extending the life of existing asphalt pavement structures are reviewed.This paper also summarizes the verification models for fatigue and permanent deformation as well as life-extending structural combinations.Finally,life-extension materials and technologies for different pavement layers and functional requirements are summarized.Future research is recommended to integrate comprehensive evaluation indicators,analyze the performance degradation characteristics of existing asphalt pavement structures,establish remaining life prediction models and life extension design methods,and develop high-performance strengthening materials to extend the service lives of asphalt pavement structures.
pavement engineeringexisting asphalt pavementreviewlife extension technologyhealth assessmentservice life predictiondesign methodology
NETL
NSTL
万方数据
