Optimization Analysis Method And Software Development Of Steel Bar Cutting In Construction Engineering

The proportion of steel bars in bridges and housing construction projects is significant,but the steel bars are usually laid by manual experience,which is not only timeconsuming,but also causes serious waste of steel bars and reduces the economic efficiency of enterprises.As the country vigorously promotes the green construction method,the traditional way of rebar undercutting is also difficult to adapt to the development requirements.In this context,this paper focuses on a series of research methods to reduce consumption and loss of reinforcement material,from the accurate calculation of the length of reinforcement material,the study of the optimization algorithm of reinforcement material,and the development of the optimization software system of reinforcement material,to form a sound information technology reinforcement material optimization management system,so as to reduce the waste of reinforcement material and improve production efficiency.This paper firstly analyses the influencing factors of rebar undercutting length systematically,consults relevant codes,calculates the common bending adjustment value and bending hook increase value for different types of rebar,and establishes an accurate calculation formula for rebar undercutting length;establishes a mathematical model for single-size and multi-size raw material rebar undercutting;for the characteristics of rebar undercutting in actual projects,classifies the rebar undercutting problem into small-scale,medium-scale and large-scale undercutting problems.Then,based on the analysis of the characteristics of different algorithms,the optimization algorithm for rebar undercutting is studied.A local search algorithm(AR algorithm)is proposed based on the rebar undercutting problem,the inner loop of the simulated annealing algorithm is improved to form the ISA algorithm,and the AR algorithm is mixed with the genetic algorithm and ISA algorithm to form the improved genetic algorithm(AGA)and the improved simulated annealing algorithm(AISA)respectively for solving the medium-scale rebar undercutting problem;the linear programming is combined with the AR algorithm to form the LP-AR algorithm,which is used to solve small-scale rebar undercutting problems;and the AISA algorithm is mixed with the sequential heuristic algorithm to form the hybrid SHP algorithm,which is used to solve large-scale rebar undercutting problems.Through simulation and comparison tests,several algorithms with superior performance in solving the corresponding scale undercutting problems are selected and combined to build a fast and robust rebar undercutting optimisation algorithm system with high computational accuracy.Finally,the business and user requirements of the rebar undercutting software system are analysed,the overall design of the software system is carried out,and a channel between the undercutting optimisation algorithm program and the Java programming language is established to realise the call of the rebar optimisation undercutting algorithm program;the functional modules of the system are programmed and implemented through Node.js and Java,etc.Finally,part of the component rebar of a bridge is used as a test case to test the compatibility and core functions of the system.The results show that the system meets the expected requirements.The research results of this paper play a positive role in promoting the efficiency of steel utilisation and construction efficiency,and in promoting the upgrading and high quality development of the bridge and other construction industries.