0000000000202785

AUTHOR

Przemysław Jakiel

0000-0001-7152-6796

showing 1 related works from this author

Development of artificial neural network for condition assessment of bridges based on hybrid decision making method – Feasibility study

2021

Abstract Managing a bridge at an appropriate level of reliability requires knowledge of its technical condition, which is decisive in terms of maintenance and repair activities. This is a multi-criteria decision-making problem which results from the need to allocate limited financial resources to this work. Although many calculation models have been suggested in published sources, none of them has ever met these requirements. The algorithm presented by the authors allows for the assessment of any number of bridges, taking into account the diversity of solutions in terms of materials and structures, and can provide a solution to this problem. This hybrid calculation model, combining the modi…

Artificial neural network (ANN)Railway bridge0209 industrial biotechnologyExtent analysis fuzzy analytic hierarchy process (EA FAHP)Artificial neural networkComputer scienceGeneral EngineeringMulti-criteria decision analysis (MCDA)Analytic hierarchy process02 engineering and technologyCondition assessmentBridge (nautical)ManagementComputer Science ApplicationsReliability engineering020901 industrial engineering & automationDevelopment (topology)Work (electrical)Artificial IntelligenceDecision making methodsDominant analytic hierarchy process (DAHP)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingBridge management system (BMS)Reliability (statistics)Expert Systems with Applications
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