Leiva, Loría and Aguiar 1 DEVELOPMENT OF AN IMPROVED AND MORE EFFECTIVE DYNAMIC MODULUS E* 1 MODEL FOR MIXTURES IN COSTA RICA BY MEANS OF ARTIFICIAL NEURAL 2 NETWORKS 3 4 5 6 7 Submitted to the 92 nd Annual Meeting of the Transportation Research Board 8 9 10 11 12 13 Fabricio Leiva-Villacorta, Ph.D. (Corresponding Author) 14 National Laboratory of Materials and Structural Models (LanammeUCR), 15 University of Costa Rica, P.O.Box 11501-2060, UCR, San José, Costa Rica 16 Ph. + (506) 2511-2500. Fax: + (506) 207-4442. 17 E-mail: [email protected] 18 19 20 21 Luis Loría, Ph.D. 22 National Laboratory of Materials and Structural Models (LanammeUCR), 23 University of Costa Rica, P.O.Box 11501-2060, UCR, San José, Costa Rica 24 Ph. + (506) 2511-4122. Fax: + (506) 207-4442. 25 E-mail: [email protected] 26 27 28 José P. Aguiar-Moya, Ph.D. 29 National Laboratory of Materials and Structural Models (LanammeUCR), 30 University of Costa Rica, P.O.Box 11501-2060, UCR, San José, Costa Rica 31 Ph. + (506) 2511-2529. Fax: + (506) 207-4442. 32 E-mail: [email protected] 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 Word Count: Abstract (242) + Body (3,926) + Figures and Tables (250x13) = 7,418 49
DEVELOPMENT OF AN IMPROVED AND MORE EFFECTIVE DYNAMIC MODULUS E* MODEL FOR MIXTURES IN COSTA RICA BY MEANS OF ARTIFICIAL NEURAL NETWORKS
Jun 28, 2023
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