Evaluation of chloride penetration in high performance concrete using neural network algorithm and micro pore structure

Cement and Concrete Research

Volumn 39, Issue 9, 2009, Pages 814-824

  Song, Ha Won ^a   Kwon, Seung Jun ^a,b  

^a Yonsei University   (South Korea)

^b University of California at Irvine   (United States)

Author keywords

Chloride attack; Chloride penetration behavior; Diffusion coefficient; High performance concrete (HPC); Neural network

Indexed keywords

ANALYTICAL SIMULATIONS; CHLORIDE ATTACK; CHLORIDE DIFFUSION; CHLORIDE DIFFUSION COEFFICIENT; CHLORIDE IONS; CHLORIDE PENETRATION; CHLORIDE PENETRATION BEHAVIOR; COMPARATIVE DATA; DIFFUSION COEFFICIENT; DIFFUSION COEFFICIENTS; DURATION TIME; EXPERIMENTAL DATA; GROUND GRANULATED BLAST FURNACE SLAG; HIGH PERFORMANCE CONCRETE (HPC); HIGH-PERFORMANCE CONCRETE; HYDRATION HEAT MODEL; MATERIAL COMPONENTS; MICRO-MODELING; MICRO-PORE STRUCTURES; MINERAL ADMIXTURES; MIX DESIGNS; MULTICOMPONENT; NEURAL NETWORK ALGORITHM; NUMERICAL TECHNIQUES; REINFORCED CONCRETE STRUCTURES;

BUILDING MATERIALS; CHLORINE COMPOUNDS; CONCRETE ADDITIVES; CONCRETES; DIFFUSION; FLY ASH; INSECT CONTROL; LEARNING ALGORITHMS; MINING; NEURAL NETWORKS; PORE STRUCTURE; REINFORCED CONCRETE; SILICA; SILICA FUME; SLAGS; TERMITE PROOFING;

CHLORIDE MINERALS;

EID: 68049112353     PISSN: 00088846     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cemconres.2009.05.013     Document Type: Article

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