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Abdel Aziz, A M (2021) The Practice of Roadway Safety Management in Public–Private Partnerships. Journal of Construction Engineering and Management, 147(12).
Amoah, A, Berbegal-Mirabent, J and Marimon, F (2021) Making the Management of a Project Successful: Case of Construction Projects in Developing Countries. Journal of Construction Engineering and Management, 147(12).
Erfani, A, Cui, Q and Cavanaugh, I (2021) An Empirical Analysis of Risk Similarity among Major Transportation Projects Using Natural Language Processing. Journal of Construction Engineering and Management, 147(12).
Kong, F, Guo, J and Lv, X (2021) Project Resource Input Optimization Problem with Combined Time Constraints Based on Node Network Diagram and Constraint Programming. Journal of Construction Engineering and Management, 147(12).
Löwstedt, M, Fasth, J and Styhre, A (2021) Leadership under Construction: A Qualitative Exploration of Leadership Processes in Construction Companies in Sweden. Journal of Construction Engineering and Management, 147(12).
Li, Y, Pan, X, Han, Y and Taylor, J E (2021) Sustainable Healthcare Facilities: A Scoping Review. Journal of Construction Engineering and Management, 147(12).
Liu, Y, Wang, X and Wang, D (2021) How Leaders and Coworkers Affect Construction Workers’ Safety Behavior: An Integrative Perspective. Journal of Construction Engineering and Management, 147(12).
Munaro, M R, Freitas, M d C D, Tavares, S F and Bragança, L (2021) Circular Business Models: Current State and Framework to Achieve Sustainable Buildings. Journal of Construction Engineering and Management, 147(12).
Namian, M, Taherpour, F, Ghiasvand, E and Turkan, Y (2021) Insidious Safety Threat of Fatigue: Investigating Construction Workers’ Risk of Accident Due to Fatigue. Journal of Construction Engineering and Management, 147(12).
Pellegrino, R (2021) Effects of Public Supports for Mitigating Revenue Risk in Public–Private Partnership Projects: Model to Choose Among Support Alternatives. Journal of Construction Engineering and Management, 147(12).
Piao, Y, Xu, W, Wang, T and Chen, J (2021) Dynamic Fall Risk Assessment Framework for Construction Workers Based on Dynamic Bayesian Network and Computer Vision. Journal of Construction Engineering and Management, 147(12).
Qiao, S, Wang, Q, Guo, Z and Guo, J (2021) Collaborative Innovation Activities and BIM Application on Innovation Capability in Construction Supply Chain: Mediating Role of Explicit and Tacit Knowledge Sharing. Journal of Construction Engineering and Management, 147(12).
Sonkor, M S and García de Soto, B (2021) Operational Technology on Construction Sites: A Review from the Cybersecurity Perspective. Journal of Construction Engineering and Management, 147(12).
Turksezer, Z I, Iacovino, C, Giordano, P F and Limongelli, M P (2021) Development and Implementation of Indicators to Assess Bridge Inspection Practices. Journal of Construction Engineering and Management, 147(12).
Yan, Z, Liang, J, Bai, Y, Cao, L and Zhao, G (2021) Response of Asphalt Pavement Structure Layer and Particle Movement Velocity Based on Particle Flow Theory. Journal of Construction Engineering and Management, 147(12).
- Type: Journal Article
- Keywords: Discrete element; Asphalt pavement; Moving vehicle load; Displacement response; Velocity response;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002199
- Abstract:
An asphalt mixture is a heterogeneous material composed of coarse/fine aggregate, asphalt, and admixtures. The damage of asphalt mixtures under vehicle load is closely related to the movement law of various materials. In order to study the mechanical response of each structural layer of asphalt pavement and the movement velocity of particles in the upper layer under vehicle load, the vehicle–road coupling model was established in this paper using commercially available software. The dynamic force of the tire is obtained in the model. Then, in the discrete-element software, a three-dimensional discrete-element model of asphalt pavement with random distribution of coarse aggregate is constructed according to the material gradation and porosity. Finally, the dynamic force of the tire is loaded into the discrete metamodel by means of moving load. The dynamic response of each structure layer and the moving speed of particles of the asphalt pavement can be solved under the action of vehicle load. The results show that the vertical displacement response of each pavement structure layer is solved by the discrete-element method, and the trend is similar by comparing its vertical displacement curve with the curve obtained by the finite-element method. The difference between the two is 8.9%, which indicates that it is feasible to use the discrete-element method to establish the pavement model in this paper. The following data are obtained by the discrete-element method: as the depth of the pavement structure layer increases, the vertical displacement continues to decrease, and the vertical displacement above the base layer accounts for 75% of the total displacement. The pavement bears both compressive stress and tensile stress in the horizontal and vertical directions. The largest transverse and longitudinal compressive stresses appear in the upper layer, but the largest transverse and longitudinal tensile stresses appear in the middle layer. When the vehicle load crosses the measuring point, the shear stress changes in both
Zhang, W, Xue, N, Zhang, J and Zhang, X (2021) Identification of Critical Causal Factors and Paths of Tower-Crane Accidents in China through System Thinking and Complex Networks. Journal of Construction Engineering and Management, 147(12).
Zhang, X, Otto, F and Oeser, M (2021) Modeling Pavement Surface Deflections under Accelerated Pavement Testing Using the PCA Method. Journal of Construction Engineering and Management, 147(12).