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首页> 外文会议>International Technology, Education and Development Conference >(68) SIMULATED ANNEALING WITH PARAMETER TUNING FOR ENERGY OPTIMIZATION OF RETAINING WALLS. A CASE STUDY APPLICATION IN EDUCATION
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(68) SIMULATED ANNEALING WITH PARAMETER TUNING FOR ENERGY OPTIMIZATION OF RETAINING WALLS. A CASE STUDY APPLICATION IN EDUCATION

机译：（68）用参数调整模拟退火，用于挡土墙的能量优化。教育案例研究

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This paper deals with the university training in engineering of projects in the postgraduate course 'Predictive and optimisation models for concrete structures', within the Masters in Concrete Engineering of the Universitat Politècnica de València. The course focus in the automated design of concrete structures and provides a state of the art on the application of several heuristic algorithms to the design optimization of real structures, e.g., earth-retaining walls, road portal and box frames, building frames, road vaults, bridge piers, abutments and decks. This communication presents a case study of an infrastructure where the ongoing research of the teaching body is applied as academic material. The case study is on a type of reinforced concrete retaining wall used in the construction of state roads, whose energy consumption is to be measured and heuristically minimized. To this aim, the embodied energy in equipment and material extraction is selected as objective function based on production materials, transport and placement. First, the students must work with a free choice of heuristic parameters for the optimisation problem. Because of the deterministic nature of the decision making problem, students rapidly figure out how complex the parameter's tuning becomes. Then the algorithmic neighbour search method is conveyed to the students to solve the parameter tuning problem. The parameters tuning is performed through the simulated annealing algorithm (SA) and it is applied to the optimisation of a wall of 10.00 meters' height. The model consists of 32 discrete variables describing the structural geometry as well as characteristics of the materials and passive reinforcement. The aim of this study is to present a methodology to obtain the parameters that define the heuristic through a neighbour local search. For this purpose, several indexes need to be evaluated: the objective function, the processing mean time and the results' scatter. Finally, the case study disclosures to the studentship that the heuristic optimization is a good tool to design buttressed earth-retaining walls by the reduction of the energy consumption. Furthermore, it is showcased how the tune of the algorithm parameters can help in the extraction of solid/sound results. This academic procedure unifies in a nutshell the course curricula of the MSc course with the ongoing research of the teaching and research group.
机译：本文涉及大学工程课程工程培训课程，在大学大学的硕士课程中的硕士课程中的硕士课程中的预测和优化模型。该课程专注于混凝土结构的自动化设计，并提供了几种启发式算法对实际结构的设计优化的应用，例如，挡土墙，道路门户和盒子框架，建筑框架，道路拱顶，桥接码头，基台和甲板。该沟通呈现了对基础设施的案例研究，其中对教学机构的持续研究适用于学术材料。案例研究是一种用于建造国家道路的钢筋混凝土挡土墙，其能量消耗是测量和启发性最小化的。为此目的，根据生产材料，运输和放置，选择设备和材料提取中的体现能量和材料提取。首先，学生必须在优化问题中使用自由选择的启发式参数。由于决策问题的确定性问题，学生迅速弄清楚参数的调整变得多么复杂。然后将算法邻居搜索方法传达给学生以解决参数调整问题。通过模拟退火算法（SA）执行参数调谐，并应用于10.00米高的墙壁的优化。该模型由32个离散变量组成，描述了结构几何形状以及材料和被动加固的特性。本研究的目的是提出一种方法来获得通过邻居本地搜索定义启发式的参数。为此目的，需要评估几个索引：目标函数，处理平均时间和结果散射。最后，案例研究披露了学生的启发式优化是一种通过减少能量消耗来设计支撑的地球挡土墙的良好工具。此外，它展示了算法参数的曲调如何有助于提取固体/声音结果。该学术程序统一简称MSC课程的课程课程，持续研究教学和研究组。

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