Min Liu

TL;DR: In this paper, the authors review the recent development of life-cycle maintenance and management planning for deteriorating civil infrastructure with emphasis on bridges using optimization techniques and considering simultaneously multiple and often competing criteria in terms of condition, safety and life cycle.

TL;DR: In this article, a multiobjective genetic algorithm based numerical procedure is used to locate, in the Pareto optimal sense, the best possible tradeoff maintenance planning solutions with respect to three objective functions, namely, condition index, safety index, and cumulative life cycle maintenance cost.

TL;DR: In this paper, the life-cycle maintenance planning of deteriorating bridges is formulated as a multi-objective optimization problem that treats the lifetime condition and safety levels as separate objective functions, and a multiobjective genetic algorithm is used as the search engine to automatically locate a large pool of different maintenance scenarios that exhibits an optimized tradeoff among conflicting objectives.

TL;DR: In this paper, the performance-based seismic design of steel special moment-resisting frame (SMRF) structures is formulated as a multiobjective optimization problem, in which conflicting design criteria that respectively reflect the present capital investment and the future seismic risk are treated simultaneously as separate objectives other than stringent constraints.

TL;DR: In this article, a multiobjective design optimization of seismic steel moment-resisting frame (SMRF) structures is proposed for balanced minimization of initial material/construction cost and lifetime seismic damage cost, which are usually added up in the existing literature to form the total life cycle cost measure.