Life Cycle Assessment of low temperature asphalt mixtures for road pavement surfaces: a comparative analysis. Resources, Conservation and Recycling, Elsevier, 2018, pp.

. Environmental and economic assessment of pavement construction and management practices for enhancing pavement sustainability. Resources, Conservation and Recycling, Elsevier, 2017, 116, pp.15-31. 10.1016/j.resconrec.2016 WMA mixtures, reducing energy consumed and emissions generated in mixtures production, applying 7 in-place recycling techniques, and implementing preventive treatments. In this study, a comprehensive 8 and integrated pavement life cycle costing-life cycle assessment model was developed to investigate, 9 from a full life cycle perspective, the extent to which several pavement engineering solutions, namely 10 hot in-plant recycling mixtures, WMA, cold central plant recycling and preventive treatments, are 11 efficient in improving the environmental and economic dimensions of pavement infrastructure 12 sustainability, when applied either separately or in combination, in the construction and management 13 of a road pavement section located in Virginia, USA. Furthermore, in order to determine the preference 14 order of alternative scenarios, a multicriteria decision analysis method was applied. The results showed 15 that the implementation of a recycling-based maintenance and rehabilitation strategy where the asphalt 16 mixtures are of type hot-mix asphalt containing 30% RAP, best suits the multidimensional and 17 conflicting interests of decision-makers. This outcome was found to be robust even when different 18 design and performance scenarios of the mixtures and type of treatments are considered. 19 20

The pavement maintenance and rehabilitation (M&R) strategy selection problem is an exceedingly hard problem to solve optimally. In this paper, a novel Adaptive Hybrid Genetic Algorithm (AHGA) is proposed which incorporates Local Search (LS) techniques into Genetic Algorithms (GA) to improve the overall efficiency and effectiveness of the search. Specifically, it contains two dynamic learning mechanisms to guide and combine the exploration and exploitation search processes adaptively. The first learning mechanism aims to assess the worthiness of conducting an LS reactively and to control the computational resources allocated to the application of this search technique efficiently. The second learning mechanism uses instantaneously learned probabilities to select from a set of pre-defined LS operators which compete against each other for selection which is the most appropriate at any particular stage of the search to take over from the evolutionary-based search process. The new AHGA is compared to a non-hybridized version of the GA by applying the algorithms to several case studies in order to determine the best pavement M&R strategy that minimizes the present value of the total M&R costs. The results show that the proposed AHGA statistically outperforms the traditional GA in terms of efficiency.

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A``sandwich'' panel under axial compressive loading is studied over its post-buckling range. Alternative formulations were developed to cover solutions other than the de¯ection shape given by the classical Rayleigh-Ritz analysis. General elasticity principles are used to derive the total potential energy function in terms of the displacement ®eld. Given a constant modal amplitude displacement ®eld, which is introduced in the total potential energy function, the results are discussed having as background models studied earlier. Techniques for the analysis of localized solutions are presented with reference to the study of the beam on nonlinear elastic foundation. The concepts of localization are introduced by using dynamical analogy and the double scale perturbation method and applied to the sandwich panel, to derive the governing amplitude modulation equations. The resulting formulations are discussed using some examples, and by solving analytical and numerically the amplitude differential equations.