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A preliminary research to identify the possible susceptibility of a case study marine bridge infrastructure to MIC is the main objective. This will be supported by determining the bacteria, nutrient levels, environmental conditions and other factors that could support MIC.
Microbiologically Influenced Corrosion (MIC) is an important degradation mechanism for materials in a wide variety of industries. Although MIC has not traditionally been a major durability concern for Florida coastal and inland bridges a recent finding of severe corrosion of steel bridge piles associated with microbial activity compounded by greater service life performance expectations for transportation infrastructure has made identification of material degradation susceptibility of vital interest. Testing of metal samples and water from the bridge indicated strong presence of microbial growth that can be associated with MIC. Anaerobic sulfate reducing bacteria acid producing bacteria and slime producing bacteria were recovered. Additional sampling and testing of steel coupons and water at varying depth were made to verify environmental conditions in Florida marine environments that can support MIC. Sampling of water from five Florida locations were tested to characterize the chemical makeup including pH biochemical oxygen demand chemical oxygen demand total organic carbon inorganic compound (phosphate nitrate sulfate sulfide chloride ammonium) and microbe content. The results from the preliminary survey and literature review will help to identify the supportive environmental condition for colonization and sustained microbial activities for Florida coastal and inland bridges.
Keywords: Microbiological Influenced Corrosion, Steel bridge Piles, Marine Environment
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Under deposit corrosion (UDC) and microbiologically influenced corrosion (MIC) are threats to dead legs and low flow/intermittent flow pipelines. Deposit characterization methods, corrosion mechanisms, mitigation methods and monitoring are addressed.
High throughput corrosion measurement indicates that species type and concentration directly impact MIC rates. A corrosion model to identify a risk index for corrosion is based on amount, type, and proportion of living MIC organisms.