基于自适应变异粒子群算法的装配式建筑施工安全投入优化

Optimization of Construction Safety Investment in Prefabricated Buildings Based on Adaptive Mutation Particle Swarm Algorithm

针对装配式建筑施工安全投入问题,以实际工程项目为例,对装配式建筑施工风险因素进行了二级分解;基于数学规划理论建立了非线性规划模型,并引入3种函数关系进行拟合;采用自适应变异粒子群算法在Matlab中进行求解,得到了相对较优方案。结果表明:在安全风险主要因素中,物的风险因素对安全投入最为敏感;在二级风险因素中,预制构件吊装器具的选择最为敏感,该结论可为日后施工安全投入的方向提供参考依据。

For addressing the safety investment issues in prefabricated buildings,firstly,an actual engineering project was used as a case study to decompose the risk factors of prefabricated building construction safety.Secondly,a nonlinear programming model was established based on mathematical planning theory,and then three functional relationships were used for fitting.Finally,the adaptive mutation particle swarm optimization algorithm was employed for solving in Matlab to obtain a relatively optimal solution.The results indicate that among the primary safety risk factors,the risk factor associated with materials is the most sensitive to safety investment.Among the secondary risk factors,the selection of lifting equipment for prefabricated components appears to be the most sensitive,providing a reference for future directions in construction safety investment.