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Life cycle cost optimisation model for design and reinforcement of dams based in fuzzy clustering and a backtracking search algorithm
Structure and Infrastructure Engineering ( IF 2.6 ) Pub Date : 2020-08-08 , DOI: 10.1080/15732479.2020.1802602
Huaizhi Su 1, 2 , Jianxin Gao 3 , Zhiping Wen 4
Affiliation  

Abstract

As an important long-term task in the field of dam engineering, the maintenance and reinforcement (MAR) are of great significance for ensuring the safety of the project and prolonging the service period of the project. The MAR of large-scale and long-term projects also requires high costs. In order to reduce the consumption of funds and improve the utilisation of resources, the whole life cycle cost (LCC) method is introduced. Aiming at the lowest total cost in the whole life cycle, the optimisation of dam engineering planning, design and MAR is carried out. Taking gravity dam as an example, this article establishes a time-varying model of structural resistance and load effect, and the deterioration process of the gravity dam has been analysed and predicted. A decision model for design and reinforcement of gravity dams considering operational risk and LCC is established. Through the optimisation algorithm, the optimal initial design of the gravity dam and its optimal MAR plan is obtained.



中文翻译:

基于模糊聚类和回溯搜索算法的大坝设计加固全生命周期成本优化模型

摘要

作为大坝工程领域一项重要的长期任务,维护加固(MAR)对于保证工程安全、延长工程服务期具有重要意义。大型和长期项目的MAR也需要高成本。为了减少资金消耗,提高资源利用率,引入了全生命周期成本(LCC)方法。以全生命周期总成本最低为目标,对大坝工程规划、设计和MAR进行优化。以重力坝为例,建立了结构阻力和荷载效应的时变模型,对重力坝的劣化过程进行了分析和预测。建立了考虑运营风险和LCC的重力坝设计加固决策模型。通过优化算法,得到重力坝的最优初始设计及其最优MAR方案。

更新日期:2020-08-08
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