الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
Allocating limited budget to maintain bridge networks and selecting effective maintenance strategies for each bridge represent challenging tasks for maintenance managers and decision makers. In Egypt, bridges are continuously deteriorating. In many cases, maintenance activities are performed as a result of user complaints. This type of maintenance practice is inefficient as it leads to random way of spending maintenance budgets and deteriorating bridge conditions, therefore, the objective of this research is to develop an objective and automatic decision-making process for bridges maintenance management over a multi – year analysis period. A practical and reliable framework is developed to manage the maintenance and repair activities of Bridges network in Egypt considering performance and budget limits. The model solves a multi-objective optimization that maximizes the average condition of the network and minimizes the Life Cycle Cost (LCC) of maintenance given the limited budget using Genetic Algorithm (GA). The main tasks of the system are bridge Inventory, Condition Assessment based on Inspection records, repair cost calculation, Deterioration, LCC, and Maintenance Optimization. The developed model takes into account multiple parameters including serviceability requirements, budget allocation, Importance of bridge Elements on structural safety and serviceability, bridge impact on network, and traffic. A questionnaire is conducted to complete the research scope. The results of the framework are maintenance plans for the entire network for up to five years. A theoretical example is developed to validate the model. Different scenarios are assumed to prove that the proposed model can provide logic results under different budget and conditions scenarios. Moreover, a case study of ten-real bridges is presented to explain the model and test its reliability with Data collected from “General Authority for Roads, Bridges and Land Transport” in Egypt. The results are acceptable and within the expectations. The model aids decision-makers select the optimum cost-effective and appropriate maintenance strategies over a certain planning horizon.