Abstract
Sustainable construction technologies for transportation infrastructure promises to provide full and lasting environmental, social and economic benefits to not only present-day users but also future generations. Recycled pavements can be both economically and environmentally sustainable when their structural adequacies meet the requirement. Rubblization of deteriorated concrete highways is considered to be a green pavement recycling technology that is both cost-effective and yields long-lasting performance. This chapter introduces two approaches - Deflection Basin Parameters (DBPs) and a hybrid Shuffled Complex Evolution (SCE)-Artificial Neural Networks (ANN) - to characterize structural condition of rubblized concrete pavements using Non-Destructive Test (NDT) deflection measurements. The utilization of these approaches in real word case scenarios is demonstrated to provide alternative solutions to the complex structural condition assessment problem for sustainable pavements.
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Kim, S., Gopalakrishnan, K. (2010). Sustainable Rehabilitation of Deteriorated Concrete Highways: Condition Assessment Using Shuffled Complex Evolution (SCE) Global Optimization Approach. In: Gopalakrishnan, K., Peeta, S. (eds) Sustainable and Resilient Critical Infrastructure Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11405-2_10
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DOI: https://doi.org/10.1007/978-3-642-11405-2_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11404-5
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